{"id":62,"date":"2025-07-26T19:47:41","date_gmt":"2025-07-27T00:47:41","guid":{"rendered":"https:\/\/research.ece.ncsu.edu\/impress\/?page_id=62"},"modified":"2026-08-02T20:19:26","modified_gmt":"2026-08-03T01:19:26","slug":"conferences","status":"publish","type":"page","link":"https:\/\/research.ece.ncsu.edu\/impress\/conferences\/","title":{"rendered":"Conference Papers"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/research.ece.ncsu.edu\/impress\/publications\/journals\/\"><img loading=\"lazy\" decoding=\"async\" width=\"208\" height=\"100\" src=\"https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/jimg_3.jpg\" alt=\"Journal Papers\" class=\"wp-image-76\" \/><\/a><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/research.ece.ncsu.edu\/impress\/conferences\/\"><img loading=\"lazy\" decoding=\"async\" width=\"604\" height=\"341\" src=\"https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/conference_3.png\" alt=\"Conference Papers\" class=\"wp-image-77\" srcset=\"https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/conference_3.png 604w, https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/conference_3-300x169.png 300w\" sizes=\"auto, (max-width: 604px) 100vw, 604px\" \/><\/a><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/research.ece.ncsu.edu\/impress\/books\/\"><img loading=\"lazy\" decoding=\"async\" width=\"529\" height=\"302\" src=\"https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/bookchapters_3.png\" alt=\"Books and Book Chapters\" class=\"wp-image-78\" srcset=\"https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/bookchapters_3.png 529w, https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/bookchapters_3-300x171.png 300w\" sizes=\"auto, (max-width: 529px) 100vw, 529px\" \/><\/a><\/figure>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/research.ece.ncsu.edu\/impress\/thesis-dissertations\/\"><img loading=\"lazy\" decoding=\"async\" width=\"189\" height=\"86\" src=\"https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/thesis_3.png\" alt=\"Thesis and Dissertations\" class=\"wp-image-79\" \/><\/a><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/research.ece.ncsu.edu\/impress\/patents\/\"><img loading=\"lazy\" decoding=\"async\" width=\"323\" height=\"161\" src=\"https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/pimg_3.jpg\" alt=\"Patents\" class=\"wp-image-80\" srcset=\"https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/pimg_3.jpg 323w, https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/pimg_3-300x150.jpg 300w\" sizes=\"auto, (max-width: 323px) 100vw, 323px\" \/><\/a><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/research.ece.ncsu.edu\/impress\/other-publications\/\"><img loading=\"lazy\" decoding=\"async\" width=\"166\" height=\"113\" src=\"https:\/\/research.ece.ncsu.edu\/impress\/wp-content\/uploads\/sites\/43\/2025\/07\/otherpubs2_3.png\" alt=\"Abstracts and Other Publications\" class=\"wp-image-81\" \/><\/a><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:8px\">Peer-reviewed conference papers published during the <strong>IMPRESS Lab era (2018\u2013present)<\/strong>. IMPRESS Lab members are shown in <strong>bold<\/strong>. For the complete publication record, including work prior to 2018, please see <a href=\"https:\/\/www.alicafergurbuz.org\/publications.html\">Dr. Gurbuz\u2019s full publication list<\/a> or <a href=\"https:\/\/scholar.google.com\/citations?user=SU8Ucf4AAAAJ&amp;hl=en\">Google Scholar<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading has-text-color\" style=\"color:#CC0000;margin-top:38px;margin-bottom:14px;font-weight:800\">2026<\/h3>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>82.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/dyspan69846.2026.11571167\">A Two-Stage 5G NR ISAC Framework for Coarse-to-Fine UAV Detection and Tracking<\/a><br>W. Khawaja, <strong>A. M. Alam<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2026 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), pp. 1-8, 2026<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{khawaja2026a,\n  author    = {W. Khawaja and A. M. Alam and A. C. Gurbuz},\n  title     = {A Two-Stage 5G NR ISAC Framework for Coarse-to-Fine UAV Detection and Tracking},\n  booktitle = {2026 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), pp. 1-8, 2026},\n  year      = {2026},\n  url       = {https:\/\/doi.org\/10.1109\/dyspan69846.2026.11571167}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-color\" style=\"color:#CC0000;margin-top:38px;margin-bottom:14px;font-weight:800\">2025<\/h3>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>81.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/RADAR52380.2025.11031728\">Antenna Selection for Direction of Arrival Estimation with Deep Learning<\/a><br><strong>C. O. Ayna<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2025 IEEE International Radar Conference (RADAR), Atlanta, GA, USA, 2025, pp. 1-6<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2025antenna,\n  author    = {C. O. Ayna and A. C. Gurbuz},\n  title     = {Antenna Selection for Direction of Arrival Estimation with Deep Learning},\n  booktitle = {2025 IEEE International Radar Conference (RADAR), Atlanta, GA, USA, 2025, pp. 1-6},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1109\/RADAR52380.2025.11031728}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>80.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/RADAR52380.2025.11031627\">Insights and Improvements in Signal Processing for UAS-Based Non-Cooperative P-Band Reflectometry<\/a><br><strong>T. Anjum<\/strong>, <strong>M. M. Farhad<\/strong>, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>2025 IEEE International Radar Conference (RADAR), Atlanta, GA, USA, 2025, pp. 1-6<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{anjum2025insights,\n  author    = {T. Anjum and M. M. Farhad and M. Kurum and A. C. Gurbuz},\n  title     = {Insights and Improvements in Signal Processing for UAS-Based Non-Cooperative P-Band Reflectometry},\n  booktitle = {2025 IEEE International Radar Conference (RADAR), Atlanta, GA, USA, 2025, pp. 1-6},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1109\/RADAR52380.2025.11031627}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>79.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/RADAR52380.2025.11032063\">Learnable Gaussian Filter-Based Automatic RF Waveform Modulation Recognition<\/a><br><strong>B. Hicks<\/strong>, <strong>S. Biswas<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2025 IEEE International Radar Conference (RADAR), Atlanta, GA, USA, 2025, pp. 1-6<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{hicks2025learnable,\n  author    = {B. Hicks and S. Biswas and A. C. Gurbuz},\n  title     = {Learnable Gaussian Filter-Based Automatic RF Waveform Modulation Recognition},\n  booktitle = {2025 IEEE International Radar Conference (RADAR), Atlanta, GA, USA, 2025, pp. 1-6},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1109\/RADAR52380.2025.11032063}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>78.<\/strong> <a href=\"https:\/\/doi.org\/10.23919\/OCEANS59106.2025.11245025\">Detection and Classification of Gas Seeps in MBES Imagery Using CFAR and Feature-Based Learning<\/a><br><strong>S. M. Manjur<\/strong>, A. Skarke and <strong>A. C. Gurbuz<\/strong><br><em>OCEANS 2025 &#8211; Great Lakes, Chicago, IL, USA, 2025, pp. 1-5<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{manjur2025detection,\n  author    = {S. M. Manjur and A. Skarke and A. C. Gurbuz},\n  title     = {Detection and Classification of Gas Seeps in MBES Imagery Using CFAR and Feature-Based Learning},\n  booktitle = {OCEANS 2025 - Great Lakes, Chicago, IL, USA, 2025, pp. 1-5},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.23919\/OCEANS59106.2025.11245025}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>77.<\/strong> <a href=\"https:\/\/doi.org\/10.23919\/OCEANS59106.2025.11245000\">Evaluating Depth-Dependent Variability in Machine Learning-Based Seafloor Gas Seep Detection Using Multibeam Echosounder<\/a><br><strong>S. M. Manjur<\/strong>, A. Skarke and <strong>A. C. Gurbuz<\/strong><br><em>OCEANS 2025 &#8211; Great Lakes, Chicago, IL, USA, 2025, pp. 1-4<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{manjur2025evaluating,\n  author    = {S. M. Manjur and A. Skarke and A. C. Gurbuz},\n  title     = {Evaluating Depth-Dependent Variability in Machine Learning-Based Seafloor Gas Seep Detection Using Multibeam Echosounder},\n  booktitle = {OCEANS 2025 - Great Lakes, Chicago, IL, USA, 2025, pp. 1-4},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.23919\/OCEANS59106.2025.11245000}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>76.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IGARSS55030.2025.11244022\">Deep Learning-Based High-Resolution Time-Frequency Domain RFI Suppression in Passive Systems<\/a><br><strong>A. M. Alam<\/strong>, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>IGARSS 2025 &#8211; 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 404-408<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{alam2025deep,\n  author    = {A. M. Alam and M. Kurum and A. C. Gurbuz},\n  title     = {Deep Learning-Based High-Resolution Time-Frequency Domain RFI Suppression in Passive Systems},\n  booktitle = {IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 404-408},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1109\/IGARSS55030.2025.11244022}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>75.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IGARSS55030.2025.11243299\">Evaluating Design Trade-offs in P-band UAS-Based Signals of Opportunity Systems: A Simulation Study<\/a><br><strong>T. Anjum<\/strong>, M. Kurum, <strong>A. C. Gurbuz<\/strong> and D. R. Boyd<br><em>IGARSS 2025 &#8211; 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 2234-2238<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{anjum2025evaluating,\n  author    = {T. Anjum and M. Kurum and A. C. Gurbuz and D. R. Boyd},\n  title     = {Evaluating Design Trade-offs in P-band UAS-Based Signals of Opportunity Systems: A Simulation Study},\n  booktitle = {IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 2234-2238},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1109\/IGARSS55030.2025.11243299}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>74.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IGARSS55030.2025.11242408\">Large Scale Spatial and Temporal Analysis of Vegetation Optical Depth Using Lidar and GNSS-T Fusion<\/a><br>A. Ghosh, M. Kurum, M. E. Hoque, M. Mehedi Farhad, <strong>A. C. Gurbuz<\/strong> and A. Colliander<br><em>IGARSS 2025 &#8211; 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 3620-3624<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{ghosh2025large,\n  author    = {A. Ghosh and M. Kurum and M. E. Hoque and M. Mehedi Farhad and A. C. Gurbuz and A. Colliander},\n  title     = {Large Scale Spatial and Temporal Analysis of Vegetation Optical Depth Using Lidar and GNSS-T Fusion},\n  booktitle = {IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 3620-3624},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1109\/IGARSS55030.2025.11242408}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>73.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IGARSS55030.2025.11243805\">Calibrating UAS GNSS-R Measurements Using Water Reflection and Direct Signal As References<\/a><br><strong>S. B. Baray<\/strong>, M. Kurum, <strong>M. M. Farhad<\/strong>, <strong>A. C. Gurbuz<\/strong> and <strong>V. Senyurek<\/strong><br><em>IGARSS 2025 &#8211; 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 5085-5089<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{baray2025calibrating,\n  author    = {S. B. Baray and M. Kurum and M. M. Farhad and A. C. Gurbuz and V. Senyurek},\n  title     = {Calibrating UAS GNSS-R Measurements Using Water Reflection and Direct Signal As References},\n  booktitle = {IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 5085-5089},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1109\/IGARSS55030.2025.11243805}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>72.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IGARSS55030.2025.11243346\">Microwave Radiometry in the Unprotected S-Band: Development of an Adaptive Radiometer and Digital Twin Integration<\/a><br>K. Al Mahmud, M. Kurum, <strong>M. M. Farhad<\/strong>, <strong>A. M. Alam<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>IGARSS 2025 &#8211; 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 2500-2504<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{mahmud2025microwave,\n  author    = {K. Al Mahmud and M. Kurum and M. M. Farhad and A. M. Alam and A. C. Gurbuz},\n  title     = {Microwave Radiometry in the Unprotected S-Band: Development of an Adaptive Radiometer and Digital Twin Integration},\n  booktitle = {IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 2500-2504},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1109\/IGARSS55030.2025.11243346}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>71.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/ICCVW69036.2025.00526\">A Multimodal Video and Radar Fusion Framework for High-Accuracy Isolated Sign Language Recognition<\/a><br><strong>S. M. Manjur<\/strong>, <strong>S. Biswas<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2025 IEEE\/CVF International Conference on Computer Vision Workshops (ICCVW), Honolulu, HI, USA, 2025, pp. 5061-5070<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{manjur2025a,\n  author    = {S. M. Manjur and S. Biswas and A. C. Gurbuz},\n  title     = {A Multimodal Video and Radar Fusion Framework for High-Accuracy Isolated Sign Language Recognition},\n  booktitle = {2025 IEEE\/CVF International Conference on Computer Vision Workshops (ICCVW), Honolulu, HI, USA, 2025, pp. 5061-5070},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1109\/ICCVW69036.2025.00526}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>70.<\/strong> RF-ChessSIGN: Radar-enabled Human-Computer Interaction in a Real-Time Sign Language-Controlled Game<br>K. Dehaan, E. Kurtoglu, <strong>S. Biswas<\/strong>, C. Kobek Pezzarossi, D. Griffin, C. Crawford, <strong>A. C. Gurbuz<\/strong> et al.<br><em>Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 4941-4951, 2025<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{dehaan2025rfchesssign,\n  author    = {K. Dehaan and E. Kurtoglu and S. Biswas and C. Kobek Pezzarossi and D. Griffin and C. Crawford and A. C. Gurbuz et al.},\n  title     = {RF-ChessSIGN: Radar-enabled Human-Computer Interaction in a Real-Time Sign Language-Controlled Game},\n  booktitle = {Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 4941-4951, 2025},\n  year      = {2025}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>69.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IEEECONF67917.2025.11443849\">Fusion of Cellular ISAC and Passive RF Sensing for UAV Detection and Tracking<\/a><br>C. Dickerson et al.<br><em>2025 59th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2025, pp. 1633-1638<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{al2025fusion,\n  author    = {C. Dickerson et al.},\n  title     = {Fusion of Cellular ISAC and Passive RF Sensing for UAV Detection and Tracking},\n  booktitle = {2025 59th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2025, pp. 1633-1638},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1109\/IEEECONF67917.2025.11443849}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>68.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.3054114\">Learning Measurement for Classification in Compressed Domain<\/a><br><strong>R. Mdrafi<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>Machine Learning from Challenging Data 2025, vol. 13460, p. 134600D, SPIE, 2025<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2025learning,\n  author    = {R. Mdrafi and A. C. Gurbuz},\n  title     = {Learning Measurement for Classification in Compressed Domain},\n  booktitle = {Machine Learning from Challenging Data 2025, vol. 13460, p. 134600D, SPIE, 2025},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1117\/12.3054114}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>67.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.3054111\">Automatic Classification of Radar and Communication Waveforms through Interpretable Deep Learning<\/a><br><strong>B. Hicks<\/strong>, <strong>S. Biswas<\/strong>, J. E. Ball and <strong>A. C. Gurbuz<\/strong><br><em>Radar Sensor Technology XXIX, vol. 13471, pp. 180-189, SPIE, 2025<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{hicks2025automatic,\n  author    = {B. Hicks and S. Biswas and J. E. Ball and A. C. Gurbuz},\n  title     = {Automatic Classification of Radar and Communication Waveforms through Interpretable Deep Learning},\n  booktitle = {Radar Sensor Technology XXIX, vol. 13471, pp. 180-189, SPIE, 2025},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1117\/12.3054111}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>66.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.3054110\">Comparative Analysis of Feature Selection Techniques to Identify a Set of Optimal Features for Crop Yield Estimation Using UAS-Based Multisensor Data<\/a><br><strong>M. A. S. Rafi<\/strong>, <strong>V. Senyurek<\/strong>, J. E. Ball and <strong>A. C. Gurbuz<\/strong><br><em>SPIE Defense and Commercial Sensing, Orlando, FL, April 2025<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{rafi2025comparative,\n  author    = {M. A. S. Rafi and V. Senyurek and J. E. Ball and A. C. Gurbuz},\n  title     = {Comparative Analysis of Feature Selection Techniques to Identify a Set of Optimal Features for Crop Yield Estimation Using UAS-Based Multisensor Data},\n  booktitle = {SPIE Defense and Commercial Sensing, Orlando, FL, April 2025},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1117\/12.3054110}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>65.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.3054109\">Machine Learning-Based Seafloor Gas Seep Detection in Sonar Water Column Images<\/a><br><strong>S. M. Manjur<\/strong>, <strong>V. Senyurek<\/strong>, R. Kalski, A. Skarke and <strong>A. C. Gurbuz<\/strong><br><em>Ocean Sensing and Monitoring XVII, vol. 13482, pp. 83-89, SPIE, 2025<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{manjur2025machine,\n  author    = {S. M. Manjur and V. Senyurek and R. Kalski and A. Skarke and A. C. Gurbuz},\n  title     = {Machine Learning-Based Seafloor Gas Seep Detection in Sonar Water Column Images},\n  booktitle = {Ocean Sensing and Monitoring XVII, vol. 13482, pp. 83-89, SPIE, 2025},\n  year      = {2025},\n  url       = {https:\/\/doi.org\/10.1117\/12.3054109}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-color\" style=\"color:#CC0000;margin-top:38px;margin-bottom:14px;font-weight:800\">2024<\/h3>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>64.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IEEECONF60004.2024.10942774\">A Single Network for Reconstruction with Dynamic Measurement Rates<\/a><br><strong>C. O. Ayna<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2024 58th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2024, pp. 1328-1332<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2024a,\n  author    = {C. O. Ayna and A. C. Gurbuz},\n  title     = {A Single Network for Reconstruction with Dynamic Measurement Rates},\n  booktitle = {2024 58th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2024, pp. 1328-1332},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1109\/IEEECONF60004.2024.10942774}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>63.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/dyspan60163.2024.10632808\">Evaluation of Conventional Radio Frequency Interference Detection Algorithms in the Presence of 5G Signals in a Controlled Testbed<\/a><br><strong>A. M. Alam<\/strong>, <strong>M. M. Farhad<\/strong>, W. H. Al-Qwider, V. Marojevic, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>IEEE DySPAN, Workshop on Spectrum Coexistence in Passive Earth Observation and Radio Astronomy, Washington, DC, May 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{alam2024evaluation,\n  author    = {A. M. Alam and M. M. Farhad and W. H. Al-Qwider and V. Marojevic and M. Kurum and A. C. Gurbuz},\n  title     = {Evaluation of Conventional Radio Frequency Interference Detection Algorithms in the Presence of 5G Signals in a Controlled Testbed},\n  booktitle = {IEEE DySPAN, Workshop on Spectrum Coexistence in Passive Earth Observation and Radio Astronomy, Washington, DC, May 2024},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1109\/dyspan60163.2024.10632808}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>62.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss53475.2024.10640563\">A Deep Learning Approach for High-Accuracy Radiometer Calibration Using SMAP Satellite Data<\/a><br><strong>A. M. Alam<\/strong>, M. Kurum, M. Ogut and <strong>A. C. Gurbuz<\/strong><br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{alam2024a,\n  author    = {A. M. Alam and M. Kurum and M. Ogut and A. C. Gurbuz},\n  title     = {A Deep Learning Approach for High-Accuracy Radiometer Calibration Using SMAP Satellite Data},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, 2024},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1109\/igarss53475.2024.10640563}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>61.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss53475.2024.10641343\">Preliminary Results from Three Years of UAS-Based GNSS-R Field Campaign over Agricultural Fields for Field-Scale Soil Moisture Retrieval<\/a><br><strong>M. M. Farhad<\/strong>, <strong>V. Senyurek<\/strong>, <strong>M. A. S. Rafi<\/strong>, A. Adeli, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{farhad2024preliminary,\n  author    = {M. M. Farhad and V. Senyurek and M. A. S. Rafi and A. Adeli and M. Kurum and A. C. Gurbuz},\n  title     = {Preliminary Results from Three Years of UAS-Based GNSS-R Field Campaign over Agricultural Fields for Field-Scale Soil Moisture Retrieval},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, 2024},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1109\/igarss53475.2024.10641343}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>60.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/radarconf2458775.2024.10548969\">Deep Learning-Based High-Resolution Radar Micro-Doppler Signature Reconstruction for Enhanced Activity Recognition<\/a><br><strong>S. Biswas<\/strong>, <strong>A. M. Alam<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2024 IEEE Radar Conference, Denver, CO, USA, May 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{biswas2024deep,\n  author    = {S. Biswas and A. M. Alam and A. C. Gurbuz},\n  title     = {Deep Learning-Based High-Resolution Radar Micro-Doppler Signature Reconstruction for Enhanced Activity Recognition},\n  booktitle = {2024 IEEE Radar Conference, Denver, CO, USA, May 2024},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1109\/radarconf2458775.2024.10548969}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>59.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/radarconf2458775.2024.10548421\">Deep Learning Based High-Resolution Frequency Estimation for Sparse Radar Range Profiles<\/a><br><strong>S. Biswas<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2024 IEEE Radar Conference, Denver, CO, USA, May 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2024deep,\n  author    = {S. Biswas and A. C. Gurbuz},\n  title     = {Deep Learning Based High-Resolution Frequency Estimation for Sparse Radar Range Profiles},\n  booktitle = {2024 IEEE Radar Conference, Denver, CO, USA, May 2024},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1109\/radarconf2458775.2024.10548421}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>58.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/radarconf2458775.2024.10548988\">Deep Learning-Based Direction-of-Arrival Estimation with Covariance Reconstruction<\/a><br><strong>A. M. Alam<\/strong>, <strong>C. O. Ayna<\/strong>, <strong>S. Biswas<\/strong>, <strong>J. Rogers<\/strong>, J. E. Ball and <strong>A. C. Gurbuz<\/strong><br><em>2024 IEEE Radar Conference, Denver, CO, USA, May 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{alam2024deep,\n  author    = {A. M. Alam and C. O. Ayna and S. Biswas and J. Rogers and J. E. Ball and A. C. Gurbuz},\n  title     = {Deep Learning-Based Direction-of-Arrival Estimation with Covariance Reconstruction},\n  booktitle = {2024 IEEE Radar Conference, Denver, CO, USA, May 2024},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1109\/radarconf2458775.2024.10548988}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>57.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/NAECON61878.2024.10670353\">Automatic Waveform Recognition from Complex RF Data with Filter-based Deep Learning<\/a><br><strong>B. Hicks<\/strong>, <strong>S. Biswas<\/strong>, <strong>A. Dahal<\/strong>, V. Gonzalez and <strong>A. C. Gurbuz<\/strong><br><em>NAECON 2024 &#8211; IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2024, pp. 168-172<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{hicks2024automatic,\n  author    = {B. Hicks and S. Biswas and A. Dahal and V. Gonzalez and A. C. Gurbuz},\n  title     = {Automatic Waveform Recognition from Complex RF Data with Filter-based Deep Learning},\n  booktitle = {NAECON 2024 - IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2024, pp. 168-172},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1109\/NAECON61878.2024.10670353}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>56.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.3013501\">Performance Assessment of Crop Line Detection in Corn Field from Unmanned Aerial Vehicle Video<\/a><br><strong>M. A. S. Rafi<\/strong>, <strong>V. Senyurek<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>SPIE Defense and Commercial Sensing, National Harbor, MD, USA, April 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{rafi2024performance,\n  author    = {M. A. S. Rafi and V. Senyurek and A. C. Gurbuz},\n  title     = {Performance Assessment of Crop Line Detection in Corn Field from Unmanned Aerial Vehicle Video},\n  booktitle = {SPIE Defense and Commercial Sensing, National Harbor, MD, USA, April 2024},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1117\/12.3013501}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>55.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.3013117\">Accelerated Hough Transform-Based Tree Diameter Extraction from LiDAR Point Cloud Data<\/a><br><strong>B. Hicks<\/strong>, A. Bonner, L. Vauhn, D. Saucier, L. Dabbiru, J. E. Ball and <strong>A. C. Gurbuz<\/strong><br><em>SPIE Defense and Commercial Sensing, National Harbor, MD, USA, April 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{hicks2024accelerated,\n  author    = {B. Hicks and A. Bonner and L. Vauhn and D. Saucier and L. Dabbiru and J. E. Ball and A. C. Gurbuz},\n  title     = {Accelerated Hough Transform-Based Tree Diameter Extraction from LiDAR Point Cloud Data},\n  booktitle = {SPIE Defense and Commercial Sensing, National Harbor, MD, USA, April 2024},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1117\/12.3013117}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>54.<\/strong> Robustness Analysis of Wi-Fi-Based Human Activity Recognition<br><strong>A. Dahal<\/strong>, <strong>S. Biswas<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>SPIE Defense and Commercial Sensing, National Harbor, MD, USA, April 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{dahal2024robustness,\n  author    = {A. Dahal and S. Biswas and A. C. Gurbuz},\n  title     = {Robustness Analysis of Wi-Fi-Based Human Activity Recognition},\n  booktitle = {SPIE Defense and Commercial Sensing, National Harbor, MD, USA, April 2024},\n  year      = {2024}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>53.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.3013594\">Learning Optimum Binary Color Filter Arrays for Demosaicing with Neural Networks<\/a><br><strong>C. O. Ayna<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>SPIE Defense and Commercial Sensing, National Harbor, MD, USA, April 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2024learning,\n  author    = {C. O. Ayna and A. C. Gurbuz},\n  title     = {Learning Optimum Binary Color Filter Arrays for Demosaicing with Neural Networks},\n  booktitle = {SPIE Defense and Commercial Sensing, National Harbor, MD, USA, April 2024},\n  year      = {2024},\n  url       = {https:\/\/doi.org\/10.1117\/12.3013594}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>52.<\/strong> Learning Constrained Binary Color Filter Arrays for Enhanced Demosaicking with Trainable Hard Thresholding<br><strong>C. O. Ayna<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>13th IEEE International Workshop on Computational Cameras and Displays (CCD), Seattle, WA, USA, 2024<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2024learning,\n  author    = {C. O. Ayna and A. C. Gurbuz},\n  title     = {Learning Constrained Binary Color Filter Arrays for Enhanced Demosaicking with Trainable Hard Thresholding},\n  booktitle = {13th IEEE International Workshop on Computational Cameras and Displays (CCD), Seattle, WA, USA, 2024},\n  year      = {2024}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-color\" style=\"color:#CC0000;margin-top:38px;margin-bottom:14px;font-weight:800\">2023<\/h3>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>51.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/RADAR54928.2023.10371037\">Deep Sparse Array Design for Integrated Sensing and Communications<\/a><br>A. M. Elbir, K. V. Mishra and <strong>A. C. Gurbuz<\/strong><br><em>2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-5<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{elbir2023deep,\n  author    = {A. M. Elbir and K. V. Mishra and A. C. Gurbuz},\n  title     = {Deep Sparse Array Design for Integrated Sensing and Communications},\n  booktitle = {2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-5},\n  year      = {2023},\n  url       = {https:\/\/doi.org\/10.1109\/RADAR54928.2023.10371037}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>50.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/RADAR54928.2023.10371020\">Radar-Lidar Fusion for Classification of Traffic Signaling Motion in Automotive Applications<\/a><br><strong>S. Biswas<\/strong>, J. E. Ball and <strong>A. C. Gurbuz<\/strong><br><em>2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-5<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{biswas2023radarlidar,\n  author    = {S. Biswas and J. E. Ball and A. C. Gurbuz},\n  title     = {Radar-Lidar Fusion for Classification of Traffic Signaling Motion in Automotive Applications},\n  booktitle = {2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-5},\n  year      = {2023},\n  url       = {https:\/\/doi.org\/10.1109\/RADAR54928.2023.10371020}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>49.<\/strong> <a href=\"https:\/\/doi.org\/10.23919\/OCEANS52994.2023.10337038\">Machine Learning Based Automated Detection of Seafloor Gas Seeps<\/a><br><strong>B. Hicks<\/strong>, <strong>C. O. Ayna<\/strong>, <strong>V. Senyurek<\/strong>, S. Gupta, A. Skarke and <strong>A. C. Gurbuz<\/strong><br><em>OCEANS 2023 &#8211; MTS\/IEEE U.S. Gulf Coast, Biloxi, MS, USA, 2023, pp. 1-6<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{hicks2023machine,\n  author    = {B. Hicks and C. O. Ayna and V. Senyurek and S. Gupta and A. Skarke and A. C. Gurbuz},\n  title     = {Machine Learning Based Automated Detection of Seafloor Gas Seeps},\n  booktitle = {OCEANS 2023 - MTS\/IEEE U.S. Gulf Coast, Biloxi, MS, USA, 2023, pp. 1-6},\n  year      = {2023},\n  url       = {https:\/\/doi.org\/10.23919\/OCEANS52994.2023.10337038}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>48.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss52108.2023.10283002\">Software Radio Testbed for 5G and L-Band Radiometer Coexistence Research<\/a><br>W. Al-Qwider, <strong>A. M. Alam<\/strong>, <strong>M. M. Farhad<\/strong>, M. Kurum, <strong>A. C. Gurbuz<\/strong> and V. Marojevic<br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, 2023<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{alqwider2023software,\n  author    = {W. Al-Qwider and A. M. Alam and M. M. Farhad and M. Kurum and A. C. Gurbuz and V. Marojevic},\n  title     = {Software Radio Testbed for 5G and L-Band Radiometer Coexistence Research},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, 2023},\n  year      = {2023},\n  url       = {https:\/\/doi.org\/10.1109\/igarss52108.2023.10283002}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>47.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss52108.2023.10282140\">SDR Based Agile Radiometer with Onboard RFI Processing on a Small UAS<\/a><br><strong>M. M. Farhad<\/strong>, <strong>S. Biswas<\/strong>, <strong>A. M. Alam<\/strong>, <strong>A. C. Gurbuz<\/strong> and M. Kurum<br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, 2023<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{farhad2023sdr,\n  author    = {M. M. Farhad and S. Biswas and A. M. Alam and A. C. Gurbuz and M. Kurum},\n  title     = {SDR Based Agile Radiometer with Onboard RFI Processing on a Small UAS},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, 2023},\n  year      = {2023},\n  url       = {https:\/\/doi.org\/10.1109\/igarss52108.2023.10282140}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>46.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss52108.2023.10281401\">High-Resolution Radio Frequency Interference Detection in Microwave Radiometry Using Deep Learning<\/a><br><strong>A. M. Alam<\/strong>, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, 2023<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{alam2023highresolution,\n  author    = {A. M. Alam and M. Kurum and A. C. Gurbuz},\n  title     = {High-Resolution Radio Frequency Interference Detection in Microwave Radiometry Using Deep Learning},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, 2023},\n  year      = {2023},\n  url       = {https:\/\/doi.org\/10.1109\/igarss52108.2023.10281401}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>45.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss52108.2023.10281528\">Fusing Sentinel-1 with CYGNSS to Account for Vegetation Effects in Soil Moisture Retrievals<\/a><br>E. Bozdag, <strong>V. Senyurek<\/strong>, <strong>M. M. Nabi<\/strong>, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, 2023<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{bozdag2023fusing,\n  author    = {E. Bozdag and V. Senyurek and M. M. Nabi and M. Kurum and A. C. Gurbuz},\n  title     = {Fusing Sentinel-1 with CYGNSS to Account for Vegetation Effects in Soil Moisture Retrievals},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, 2023},\n  year      = {2023},\n  url       = {https:\/\/doi.org\/10.1109\/igarss52108.2023.10281528}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>44.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/RadarConf2351548.2023.10149682\">Complex SincNet for More Interpretable Radar Based Activity Recognition<\/a><br><strong>S. Biswas<\/strong>, <strong>C. O. Ayna<\/strong>, S. Z. Gurbuz and <strong>A. C. Gurbuz<\/strong><br><em>2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{biswas2023complex,\n  author    = {S. Biswas and C. O. Ayna and S. Z. Gurbuz and A. C. Gurbuz},\n  title     = {Complex SincNet for More Interpretable Radar Based Activity Recognition},\n  booktitle = {2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6},\n  year      = {2023},\n  url       = {https:\/\/doi.org\/10.1109\/RadarConf2351548.2023.10149682}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>43.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/RadarConf2351548.2023.10149728\">Classification of Traffic Signaling Motion in Automotive Applications Using FMCW Radar<\/a><br><strong>S. Biswas<\/strong>, <strong>B. Bartlett<\/strong>, J. E. Ball and <strong>A. C. Gurbuz<\/strong><br><em>2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{biswas2023classification,\n  author    = {S. Biswas and B. Bartlett and J. E. Ball and A. C. Gurbuz},\n  title     = {Classification of Traffic Signaling Motion in Automotive Applications Using FMCW Radar},\n  booktitle = {2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6},\n  year      = {2023},\n  url       = {https:\/\/doi.org\/10.1109\/RadarConf2351548.2023.10149728}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-color\" style=\"color:#CC0000;margin-top:38px;margin-bottom:14px;font-weight:800\">2022<\/h3>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>42.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/AP-S\/USNC-URSI47032.2022.9886789\">Convolutional Neural Network Based Antenna Beam Coefficient Generation for Planar Arrays<\/a><br>G. D. King, M. A. Towfiq, <strong>A. C. Gurbuz<\/strong> and B. A. Cetiner<br><em>2022 IEEE International Symposium on Antennas and Propagation, Denver, CO, USA, 2022, pp. 445-446<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{king2022convolutional,\n  author    = {G. D. King and M. A. Towfiq and A. C. Gurbuz and B. A. Cetiner},\n  title     = {Convolutional Neural Network Based Antenna Beam Coefficient Generation for Planar Arrays},\n  booktitle = {2022 IEEE International Symposium on Antennas and Propagation, Denver, CO, USA, 2022, pp. 445-446},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/AP-S\/USNC-URSI47032.2022.9886789}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>41.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/past49659.2022.9975068\">Data-Driven Covariance Estimation<\/a><br>J. T. Rogers, J. E. Ball and <strong>A. C. Gurbuz<\/strong><br><em>2022 IEEE International Symposium on Phased Array Systems and Technology, Boston, MA, October 2022<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{rogers2022datadriven,\n  author    = {J. T. Rogers and J. E. Ball and A. C. Gurbuz},\n  title     = {Data-Driven Covariance Estimation},\n  booktitle = {2022 IEEE International Symposium on Phased Array Systems and Technology, Boston, MA, October 2022},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/past49659.2022.9975068}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>40.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/ieeeconf56349.2022.10051914\">Robustness Analysis for Deep Learning-Based Image Reconstruction Models<\/a><br><strong>C. O. Ayna<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2022 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2022, pp. 1428-1432 (Invited to special session)<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2022robustness,\n  author    = {C. O. Ayna and A. C. Gurbuz},\n  title     = {Robustness Analysis for Deep Learning-Based Image Reconstruction Models},\n  booktitle = {2022 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2022, pp. 1428-1432 (Invited to special session)},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/ieeeconf56349.2022.10051914}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>39.<\/strong> <a href=\"https:\/\/doi.org\/10.23919\/USNC-URSI52669.2022.9887529\">Design and Implementation of a Software Defined Radio-Based Radiometer Operating from a Small Unmanned Aircraft System<\/a><br><strong>M. M. Farhad<\/strong>, <strong>S. Biswas<\/strong>, <strong>M. A. S. Rafi<\/strong>, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>2022 IEEE International Symposium on Antennas and Propagation, Denver, CO, pp. 17-18<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{farhad2022design,\n  author    = {M. M. Farhad and S. Biswas and M. A. S. Rafi and M. Kurum and A. C. Gurbuz},\n  title     = {Design and Implementation of a Software Defined Radio-Based Radiometer Operating from a Small Unmanned Aircraft System},\n  booktitle = {2022 IEEE International Symposium on Antennas and Propagation, Denver, CO, pp. 17-18},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.23919\/USNC-URSI52669.2022.9887529}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>38.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IGARSS46834.2022.9883412\">Preliminary Snow Water Equivalent Retrieval of SnowEx20 SWESARR Data<\/a><br>D. R. Boyd, <strong>A. M. Alam<\/strong>, M. Kurum, <strong>A. C. Gurbuz<\/strong> and B. Osmanoglu<br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022, pp. 3927-3930<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{boyd2022preliminary,\n  author    = {D. R. Boyd and A. M. Alam and M. Kurum and A. C. Gurbuz and B. Osmanoglu},\n  title     = {Preliminary Snow Water Equivalent Retrieval of SnowEx20 SWESARR Data},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022, pp. 3927-3930},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/IGARSS46834.2022.9883412}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>37.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IGARSS46834.2022.9883803\">A Ubiquitous GNSS-R Approach Using Spinning Smartphone Onboard a Small UAS<\/a><br>M. Kurum, <strong>M. M. Farhad<\/strong>, J. Diao and <strong>A. C. Gurbuz<\/strong><br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022, pp. 5208-5211<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{kurum2022a,\n  author    = {M. Kurum and M. M. Farhad and J. Diao and A. C. Gurbuz},\n  title     = {A Ubiquitous GNSS-R Approach Using Spinning Smartphone Onboard a Small UAS},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022, pp. 5208-5211},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/IGARSS46834.2022.9883803}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>36.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IGARSS46834.2022.9884010\">SMAP Radiometer RFI Prediction with Deep Learning Using Antenna Counts<\/a><br><strong>A. M. Alam<\/strong>, <strong>A. C. Gurbuz<\/strong> and M. Kurum<br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022, pp. 8016-8019 \u2014 Best Student Paper Finalist<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{alam2022smap,\n  author    = {A. M. Alam and A. C. Gurbuz and M. Kurum},\n  title     = {SMAP Radiometer RFI Prediction with Deep Learning Using Antenna Counts},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022, pp. 8016-8019},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/IGARSS46834.2022.9884010}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>35.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IGARSS46834.2022.9883916\">A Deep Learning-Based Soil Moisture Estimation in CONUS Region Using CYGNSS Delay Doppler Maps<\/a><br><strong>M. M. Nabi<\/strong>, <strong>V. Senyurek<\/strong>, <strong>A. C. Gurbuz<\/strong> and M. Kurum<br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022, pp. 6177-6180<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{nabi2022a,\n  author    = {M. M. Nabi and V. Senyurek and A. C. Gurbuz and M. Kurum},\n  title     = {A Deep Learning-Based Soil Moisture Estimation in CONUS Region Using CYGNSS Delay Doppler Maps},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022, pp. 6177-6180},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/IGARSS46834.2022.9883916}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>34.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/RadarConf2248738.2022.9763904\">RF Micro-Doppler Classification with Multiple Spectrograms from Angular Subspace Projections<\/a><br>E. Kurtoglu, <strong>A. C. Gurbuz<\/strong>, E. A. Malaia and S. Z. Gurbuz<br><em>2022 IEEE Radar Conference (RadarConf22), New York City, NY, USA, 2022, pp. 1-6<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{kurtoglu2022rf,\n  author    = {E. Kurtoglu and A. C. Gurbuz and E. A. Malaia and S. Z. Gurbuz},\n  title     = {RF Micro-Doppler Classification with Multiple Spectrograms from Angular Subspace Projections},\n  booktitle = {2022 IEEE Radar Conference (RadarConf22), New York City, NY, USA, 2022, pp. 1-6},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/RadarConf2248738.2022.9763904}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>33.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/RadarConf2248738.2022.9764269\">Performance Comparison of Radar and Video for American Sign Language Recognition<\/a><br>M. M. Rahman, E. Kurtoglu, M. Taskin, K. Esmer, <strong>A. C. Gurbuz<\/strong>, E. A. Malaia and S. Z. Gurbuz<br><em>2022 IEEE Radar Conference, New York City, NY, USA, 2022, pp. 1-6<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{rahman2022performance,\n  author    = {M. M. Rahman and E. Kurtoglu and M. Taskin and K. Esmer and A. C. Gurbuz and E. A. Malaia and S. Z. Gurbuz},\n  title     = {Performance Comparison of Radar and Video for American Sign Language Recognition},\n  booktitle = {2022 IEEE Radar Conference, New York City, NY, USA, 2022, pp. 1-6},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/RadarConf2248738.2022.9764269}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>32.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/PESGM48719.2022.9917001\">Local Detection of OLTC Operation to Support Decentralized Control of Active End-Nodes<\/a><br>E. Ucer, E. Kurtoglu, M. Kisacikoglu, <strong>A. C. Gurbuz<\/strong> and S. Z. Gurbuz<br><em>2022 IEEE Power &amp; Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 1-5<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{ucer2022local,\n  author    = {E. Ucer and E. Kurtoglu and M. Kisacikoglu and A. C. Gurbuz and S. Z. Gurbuz},\n  title     = {Local Detection of OLTC Operation to Support Decentralized Control of Active End-Nodes},\n  booktitle = {2022 IEEE Power &amp; Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 1-5},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/PESGM48719.2022.9917001}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>31.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/SoutheastCon48659.2022.9764039\">Machine Learning-Based High Resolution Global and Small Scale Soil Moisture Estimation Using GNSS-R<\/a><br><strong>V. Senyurek<\/strong>, <strong>M. M. Farhad<\/strong>, F. Lei, <strong>A. C. Gurbuz<\/strong>, M. Kurum and R. Moorhead<br><em>IEEE SoutheastCon 2022, Mobile, AL, USA, 2022, pp. 434-435<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{senyurek2022machine,\n  author    = {V. Senyurek and M. M. Farhad and F. Lei and A. C. Gurbuz and M. Kurum and R. Moorhead},\n  title     = {Machine Learning-Based High Resolution Global and Small Scale Soil Moisture Estimation Using GNSS-R},\n  booktitle = {IEEE SoutheastCon 2022, Mobile, AL, USA, 2022, pp. 434-435},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/SoutheastCon48659.2022.9764039}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>30.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/IGARSS46834.2022.9883821\">Data Driven Joint Hyperspectral Band Selection and Image Classification<\/a><br><strong>R. Mdrafi<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022, pp. 1736-1739<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2022data,\n  author    = {R. Mdrafi and A. C. Gurbuz},\n  title     = {Data Driven Joint Hyperspectral Band Selection and Image Classification},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022, pp. 1736-1739},\n  year      = {2022},\n  url       = {https:\/\/doi.org\/10.1109\/IGARSS46834.2022.9883821}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-color\" style=\"color:#CC0000;margin-top:38px;margin-bottom:14px;font-weight:800\">2021<\/h3>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>29.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/iccvw54120.2021.00449\">Compressed Classification from Learned Measurements<\/a><br><strong>R. Mdrafi<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV) Workshops, October 2021, pp. 4038-4047<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2021compressed,\n  author    = {R. Mdrafi and A. C. Gurbuz},\n  title     = {Compressed Classification from Learned Measurements},\n  booktitle = {Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV) Workshops, October 2021, pp. 4038-4047},\n  year      = {2021},\n  url       = {https:\/\/doi.org\/10.1109\/iccvw54120.2021.00449}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>28.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/ieeeconf53345.2021.9723098\">Data Driven Learning of Constrained Measurement Matrices for Signal Reconstruction<\/a><br><strong>R. Mdrafi<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2021 55th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2021, pp. 1597-1601<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2021data,\n  author    = {R. Mdrafi and A. C. Gurbuz},\n  title     = {Data Driven Learning of Constrained Measurement Matrices for Signal Reconstruction},\n  booktitle = {2021 55th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2021, pp. 1597-1601},\n  year      = {2021},\n  url       = {https:\/\/doi.org\/10.1109\/ieeeconf53345.2021.9723098}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>27.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/icassp39728.2021.9414063\">Word-Level ASL Recognition and Trigger Sign Detection with RF Sensors<\/a><br>M. M. Rahman, E. Kurtoglu, <strong>R. Mdrafi<\/strong>, <strong>A. C. Gurbuz<\/strong>, E. A. Malaia, C. Crawford, D. J. Griffin and S. Z. Gurbuz<br><em>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada, 2021, pp. 8233-8237<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{rahman2021wordlevel,\n  author    = {M. M. Rahman and E. Kurtoglu and R. Mdrafi and A. C. Gurbuz and E. A. Malaia and C. Crawford and D. J. Griffin and S. Z. Gurbuz},\n  title     = {Word-Level ASL Recognition and Trigger Sign Detection with RF Sensors},\n  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada, 2021, pp. 8233-8237},\n  year      = {2021},\n  url       = {https:\/\/doi.org\/10.1109\/icassp39728.2021.9414063}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>26.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/radarconf2147009.2021.9455190\">Word-Level Sign Language Recognition Using Linguistic Adaptation of 77 GHz FMCW Radar Data<\/a><br>M. M. Rahman, S. Z. Gurbuz, <strong>A. C. Gurbuz<\/strong>, E. A. Malaia, D. J. Griffin and C. Crawford<br><em>IEEE Radar Conference, Atlanta, GA, May 2021<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{rahman2021wordlevel,\n  author    = {M. M. Rahman and S. Z. Gurbuz and A. C. Gurbuz and E. A. Malaia and D. J. Griffin and C. Crawford},\n  title     = {Word-Level Sign Language Recognition Using Linguistic Adaptation of 77 GHz FMCW Radar Data},\n  booktitle = {IEEE Radar Conference, Atlanta, GA, May 2021},\n  year      = {2021},\n  url       = {https:\/\/doi.org\/10.1109\/radarconf2147009.2021.9455190}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>25.<\/strong> Sequential Classification of Sign Language Gestures in the Context of Daily Living Using RF Sensing<br>E. Kurtoglu, S. Z. Gurbuz, <strong>A. C. Gurbuz<\/strong>, E. A. Malaia, D. J. Griffin and C. Crawford<br><em>IEEE Radar Conference, Atlanta, GA, May 2021<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{kurtoglu2021sequential,\n  author    = {E. Kurtoglu and S. Z. Gurbuz and A. C. Gurbuz and E. A. Malaia and D. J. Griffin and C. Crawford},\n  title     = {Sequential Classification of Sign Language Gestures in the Context of Daily Living Using RF Sensing},\n  booktitle = {IEEE Radar Conference, Atlanta, GA, May 2021},\n  year      = {2021}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>24.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss47720.2021.9554005\">Quasi-Global GNSS-R Soil Moisture Retrievals at High Spatio-Temporal Resolution from CYGNSS and SMAP Data<\/a><br>F. Lei, <strong>V. Senyurek<\/strong>, M. Kurum, <strong>A. C. Gurbuz<\/strong>, D. R. Boyd and R. Moorhead<br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, 2021<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{lei2021quasiglobal,\n  author    = {F. Lei and V. Senyurek and M. Kurum and A. C. Gurbuz and D. R. Boyd and R. Moorhead},\n  title     = {Quasi-Global GNSS-R Soil Moisture Retrievals at High Spatio-Temporal Resolution from CYGNSS and SMAP Data},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, 2021},\n  year      = {2021},\n  url       = {https:\/\/doi.org\/10.1109\/igarss47720.2021.9554005}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>23.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss47720.2021.9553900\">Spatial and Temporal Interpolation of CYGNSS Soil Moisture Estimations<\/a><br><strong>V. Senyurek<\/strong>, <strong>A. C. Gurbuz<\/strong>, M. Kurum, F. Lei, D. R. Boyd and R. Moorhead<br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, 2021<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{senyurek2021spatial,\n  author    = {V. Senyurek and A. C. Gurbuz and M. Kurum and F. Lei and D. R. Boyd and R. Moorhead},\n  title     = {Spatial and Temporal Interpolation of CYGNSS Soil Moisture Estimations},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, 2021},\n  year      = {2021},\n  url       = {https:\/\/doi.org\/10.1109\/igarss47720.2021.9553900}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>22.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.2585591\">Investigation of Band Selection Techniques to Enable Classification of Hyperspectral Imagery at the Edge<\/a><br><strong>S. Butler<\/strong>, S. R. Price, <strong>A. C. Gurbuz<\/strong>, S. J. Price and J. R. Fairley<br><em>SPIE Defense and Commercial Sensing, vol. 11736, Real-Time Image Processing and Deep Learning, 117360L, Orlando, FL, 2021<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{butler2021investigation,\n  author    = {S. Butler and S. R. Price and A. C. Gurbuz and S. J. Price and J. R. Fairley},\n  title     = {Investigation of Band Selection Techniques to Enable Classification of Hyperspectral Imagery at the Edge},\n  booktitle = {SPIE Defense and Commercial Sensing, vol. 11736, Real-Time Image Processing and Deep Learning, 117360L, Orlando, FL, 2021},\n  year      = {2021},\n  url       = {https:\/\/doi.org\/10.1117\/12.2585591}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>21.<\/strong> A UAS Based RF Testbed for Water Utilization in Agroecosystems<br>M. Kurum, <strong>A. C. Gurbuz<\/strong>, S. Barnes, D. R. Boyd, <strong>M. Duck<\/strong>, <strong>M. M. Farhad<\/strong>, A. Flynt, N. Goyette, P. Peranich, M. Schneider and <strong>V. Senyurek<\/strong><br><em>SPIE Defense and Commercial Sensing, vol. 11747, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI, 117470J, Orlando, FL, 2021<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{kurum2021a,\n  author    = {M. Kurum and A. C. Gurbuz and S. Barnes and D. R. Boyd and M. Duck and M. M. Farhad and A. Flynt and N. Goyette and P. Peranich and M. Schneider and V. Senyurek},\n  title     = {A UAS Based RF Testbed for Water Utilization in Agroecosystems},\n  booktitle = {SPIE Defense and Commercial Sensing, vol. 11747, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI, 117470J, Orlando, FL, 2021},\n  year      = {2021}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-color\" style=\"color:#CC0000;margin-top:38px;margin-bottom:14px;font-weight:800\">2020<\/h3>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>20.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/sensors47125.2020.9278864\">ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network<\/a><br>S. Z. Gurbuz, <strong>A. C. Gurbuz<\/strong>, E. A. Malaia, D. J. Griffin, C. Crawford, E. Kurtoglu, M. M. Rahman, R. Aksu and <strong>R. Mdrafi<\/strong><br><em>2020 IEEE SENSORS, Rotterdam, Netherlands, 2020, pp. 1-4 \u2014 Selected by the Technical Program Committee as a Top Paper<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2020asl,\n  author    = {S. Z. Gurbuz and A. C. Gurbuz and E. A. Malaia and D. J. Griffin and C. Crawford and E. Kurtoglu and M. M. Rahman and R. Aksu and R. Mdrafi},\n  title     = {ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network},\n  booktitle = {2020 IEEE SENSORS, Rotterdam, Netherlands, 2020, pp. 1-4},\n  year      = {2020},\n  url       = {https:\/\/doi.org\/10.1109\/sensors47125.2020.9278864}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>19.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.2561083\">Extending Free-Space Mapping to Unstructured, Off-Road Environments<\/a><br>E. D. Farmer, J. E. Ball and <strong>A. C. Gurbuz<\/strong><br><em>Proc. SPIE 11415, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 1141509, April 2020<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{farmer2020extending,\n  author    = {E. D. Farmer and J. E. Ball and A. C. Gurbuz},\n  title     = {Extending Free-Space Mapping to Unstructured, Off-Road Environments},\n  booktitle = {Proc. SPIE 11415, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 1141509, April 2020},\n  year      = {2020},\n  url       = {https:\/\/doi.org\/10.1117\/12.2561083}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>18.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/ECCE44975.2020.9236353\">A Machine Learning Approach for Understanding Power Distribution System Congestion<\/a><br>E. Ucer, M. Kisacikoglu, <strong>A. C. Gurbuz<\/strong>, S. Rahman and M. Yuksel<br><em>2020 IEEE Energy Conversion Congress and Exposition (ECCE), Detroit, MI, USA, 2020, pp. 1977-1983<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{ucer2020a,\n  author    = {E. Ucer and M. Kisacikoglu and A. C. Gurbuz and S. Rahman and M. Yuksel},\n  title     = {A Machine Learning Approach for Understanding Power Distribution System Congestion},\n  booktitle = {2020 IEEE Energy Conversion Congress and Exposition (ECCE), Detroit, MI, USA, 2020, pp. 1977-1983},\n  year      = {2020},\n  url       = {https:\/\/doi.org\/10.1109\/ECCE44975.2020.9236353}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>17.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/radar42522.2020.9114818\">A Linguistic Perspective on Radar Micro-Doppler Analysis of American Sign Language<\/a><br>S. Z. Gurbuz, <strong>A. C. Gurbuz<\/strong>, E. A. Malaia, D. J. Griffin, C. Crawford, M. M. Rahman, R. Aksu, E. Kurtoglu, <strong>R. Mdrafi<\/strong>, A. Anbuselvam, T. Macks and E. Ozcelik<br><em>2020 IEEE International Radar Conference, Washington, DC, April 2020<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2020a,\n  author    = {S. Z. Gurbuz and A. C. Gurbuz and E. A. Malaia and D. J. Griffin and C. Crawford and M. M. Rahman and R. Aksu and E. Kurtoglu and R. Mdrafi and A. Anbuselvam and T. Macks and E. Ozcelik},\n  title     = {A Linguistic Perspective on Radar Micro-Doppler Analysis of American Sign Language},\n  booktitle = {2020 IEEE International Radar Conference, Washington, DC, April 2020},\n  year      = {2020},\n  url       = {https:\/\/doi.org\/10.1109\/radar42522.2020.9114818}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>16.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss39084.2020.9324124\">GNSS Reflectometry from Smartphones: Testing Performance of In-Built Antennas and GNSS Chips<\/a><br>M. Kurum, <strong>A. C. Gurbuz<\/strong> and <strong>M. M. Farhad<\/strong><br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Waikoloa, HI, July 2020<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{kurum2020gnss,\n  author    = {M. Kurum and A. C. Gurbuz and M. M. Farhad},\n  title     = {GNSS Reflectometry from Smartphones: Testing Performance of In-Built Antennas and GNSS Chips},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Waikoloa, HI, July 2020},\n  year      = {2020},\n  url       = {https:\/\/doi.org\/10.1109\/igarss39084.2020.9324124}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>15.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss39084.2020.9323106\">Machine Learning Based Retrieval of Soil Moisture at High Spatio-Temporal Scales Using CYGNSS and SMAP Observations<\/a><br>F. Lei, <strong>V. Senyurek<\/strong>, M. Kurum, <strong>A. C. Gurbuz<\/strong>, R. Moorhead and D. R. Boyd<br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Waikoloa, HI, July 2020<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{lei2020machine,\n  author    = {F. Lei and V. Senyurek and M. Kurum and A. C. Gurbuz and R. Moorhead and D. R. Boyd},\n  title     = {Machine Learning Based Retrieval of Soil Moisture at High Spatio-Temporal Scales Using CYGNSS and SMAP Observations},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Waikoloa, HI, July 2020},\n  year      = {2020},\n  url       = {https:\/\/doi.org\/10.1109\/igarss39084.2020.9323106}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>14.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss39084.2020.9324226\">Preliminary Study of Cramer-Rao Lower Bound for Subsurface Soil Moisture Estimation Using SoOp Reflectometry<\/a><br>D. R. Boyd, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Waikoloa, HI, July 2020<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{boyd2020preliminary,\n  author    = {D. R. Boyd and M. Kurum and A. C. Gurbuz},\n  title     = {Preliminary Study of Cramer-Rao Lower Bound for Subsurface Soil Moisture Estimation Using SoOp Reflectometry},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Waikoloa, HI, July 2020},\n  year      = {2020},\n  url       = {https:\/\/doi.org\/10.1109\/igarss39084.2020.9324226}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-color\" style=\"color:#CC0000;margin-top:38px;margin-bottom:14px;font-weight:800\">2019<\/h3>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>13.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/ieeeconf44664.2019.9049061\">Off-Grid Aware Spatial Covariance Estimation in mmWave Communications<\/a><br>C. K. Anjinappa, <strong>A. C. Gurbuz<\/strong>, Y. Yapici and I. Guvenc<br><em>Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2019<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{anjinappa2019offgrid,\n  author    = {C. K. Anjinappa and A. C. Gurbuz and Y. Yapici and I. Guvenc},\n  title     = {Off-Grid Aware Spatial Covariance Estimation in mmWave Communications},\n  booktitle = {Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2019},\n  year      = {2019},\n  url       = {https:\/\/doi.org\/10.1109\/ieeeconf44664.2019.9049061}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>12.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/radar.2019.8835706\">Learning to Sense and Reconstruct a Class of Signals<\/a><br><strong>R. Mdrafi<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2019 IEEE Radar Conference (RadarConf), Boston, MA, USA, 2019, pp. 1-5<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2019learning,\n  author    = {R. Mdrafi and A. C. Gurbuz},\n  title     = {Learning to Sense and Reconstruct a Class of Signals},\n  booktitle = {2019 IEEE Radar Conference (RadarConf), Boston, MA, USA, 2019, pp. 1-5},\n  year      = {2019},\n  url       = {https:\/\/doi.org\/10.1109\/radar.2019.8835706}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>11.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss.2019.8900587\">Inversion Study of Simulated and Physical Soil Moisture Profiles Using Multifrequency SoOP Sources<\/a><br>D. R. Boyd, M. Kurum, J. L. Garrison, B. Nold, <strong>R. Mdrafi<\/strong>, O. Eroglu, <strong>A. C. Gurbuz<\/strong>, J. R. Piepmeier, M. A. Vega and R. Bindlish<br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2019 (invited)<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{boyd2019inversion,\n  author    = {D. R. Boyd and M. Kurum and J. L. Garrison and B. Nold and R. Mdrafi and O. Eroglu and A. C. Gurbuz and J. R. Piepmeier and M. A. Vega and R. Bindlish},\n  title     = {Inversion Study of Simulated and Physical Soil Moisture Profiles Using Multifrequency SoOP Sources},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2019},\n  year      = {2019},\n  url       = {https:\/\/doi.org\/10.1109\/igarss.2019.8900587}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>10.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss.2019.8900202\">Investigations into CYGNSS-Based Soil Moisture Retrieval Algorithms<\/a><br>O. Eroglu, M. Kurum, D. R. Boyd and <strong>A. C. Gurbuz<\/strong><br><em>IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2019<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{eroglu2019investigations,\n  author    = {O. Eroglu and M. Kurum and D. R. Boyd and A. C. Gurbuz},\n  title     = {Investigations into CYGNSS-Based Soil Moisture Retrieval Algorithms},\n  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2019},\n  year      = {2019},\n  url       = {https:\/\/doi.org\/10.1109\/igarss.2019.8900202}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>9.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/radar.2019.8835819\">Estimating the Number of Sources via Deep Learning<\/a><br><strong>J. Rogers<\/strong>, J. E. Ball and <strong>A. C. Gurbuz<\/strong><br><em>2019 IEEE Radar Conference (RadarConf), Boston, MA, USA, 2019, pp. 1-5<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{rogers2019estimating,\n  author    = {J. Rogers and J. E. Ball and A. C. Gurbuz},\n  title     = {Estimating the Number of Sources via Deep Learning},\n  booktitle = {2019 IEEE Radar Conference (RadarConf), Boston, MA, USA, 2019, pp. 1-5},\n  year      = {2019},\n  url       = {https:\/\/doi.org\/10.1109\/radar.2019.8835819}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>8.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/dsw.2019.8755557\">Data Driven Measurement Matrix Learning for Sparse Reconstruction<\/a><br><strong>R. Mdrafi<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>2019 IEEE Data Science Workshop (DSW), Minneapolis, MN, USA, 2019, pp. 253-257<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2019data,\n  author    = {R. Mdrafi and A. C. Gurbuz},\n  title     = {Data Driven Measurement Matrix Learning for Sparse Reconstruction},\n  booktitle = {2019 IEEE Data Science Workshop (DSW), Minneapolis, MN, USA, 2019, pp. 253-257},\n  year      = {2019},\n  url       = {https:\/\/doi.org\/10.1109\/dsw.2019.8755557}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-color\" style=\"color:#CC0000;margin-top:38px;margin-bottom:14px;font-weight:800\">2018<\/h3>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>7.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/pesgm.2018.8586208\">Learning EV Integration Impact on a Low Voltage Distribution Grid<\/a><br>E. Ucer, M. C. Kisacikoglu and <strong>A. C. Gurbuz<\/strong><br><em>2018 IEEE Power &amp; Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{ucer2018learning,\n  author    = {E. Ucer and M. C. Kisacikoglu and A. C. Gurbuz},\n  title     = {Learning EV Integration Impact on a Low Voltage Distribution Grid},\n  booktitle = {2018 IEEE Power &amp; Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5},\n  year      = {2018},\n  url       = {https:\/\/doi.org\/10.1109\/pesgm.2018.8586208}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>6.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/radar.2018.8378790\">Multifunctional Reconfigurable Antennas for Cognitive Radars<\/a><br><strong>A. C. Gurbuz<\/strong> and B. A. Cetiner<br><em>2018 IEEE Radar Conference (RadarConf18), Oklahoma City, OK, 2018, pp. 1510-1515<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{cetiner2018multifunctional,\n  author    = {A. C. Gurbuz and B. A. Cetiner},\n  title     = {Multifunctional Reconfigurable Antennas for Cognitive Radars},\n  booktitle = {2018 IEEE Radar Conference (RadarConf18), Oklahoma City, OK, 2018, pp. 1510-1515},\n  year      = {2018},\n  url       = {https:\/\/doi.org\/10.1109\/radar.2018.8378790}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>5.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/igarss.2018.8519162\">A CubeSat Train for Radar Sounding and Imaging of Antarctic Ice Sheet<\/a><br>P. Gogineni, C. R. Simpson, J. Yan, C. R. Oneill, R. Sood, S. Z. Gurbuz and <strong>A. C. Gurbuz<\/strong><br><em>2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, 2018, pp. 4138-4141<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gogineni2018a,\n  author    = {P. Gogineni and C. R. Simpson and J. Yan and C. R. Oneill and R. Sood and S. Z. Gurbuz and A. C. Gurbuz},\n  title     = {A CubeSat Train for Radar Sounding and Imaging of Antarctic Ice Sheet},\n  booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, 2018, pp. 4138-4141},\n  year      = {2018},\n  url       = {https:\/\/doi.org\/10.1109\/igarss.2018.8519162}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>4.<\/strong> <a href=\"https:\/\/doi.org\/10.1109\/iccw.2018.8403589\">Sparse Channel Estimation in Millimeter-Wave Communications via Parameter Perturbed OMP<\/a><br><strong>A. C. Gurbuz<\/strong>, Y. Yapici and I. Guvenc<br><em>2018 IEEE International Conference on Communications Workshops (ICC Workshops), Kansas City, MO, 2018, pp. 1-6<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2018sparse,\n  author    = {A. C. Gurbuz and Y. Yapici and I. Guvenc},\n  title     = {Sparse Channel Estimation in Millimeter-Wave Communications via Parameter Perturbed OMP},\n  booktitle = {2018 IEEE International Conference on Communications Workshops (ICC Workshops), Kansas City, MO, 2018, pp. 1-6},\n  year      = {2018},\n  url       = {https:\/\/doi.org\/10.1109\/iccw.2018.8403589}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>3.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.2305048\">Adaptive Measurement Design for Direction of Arrival Estimation and Target Tracking<\/a><br><strong>A. C. Gurbuz<\/strong><br><em>SPIE Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, vol. 10658, pp. 68-76, 2018<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2018adaptive,\n  author    = {A. C. Gurbuz},\n  title     = {Adaptive Measurement Design for Direction of Arrival Estimation and Target Tracking},\n  booktitle = {SPIE Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, vol. 10658, pp. 68-76, 2018},\n  year      = {2018},\n  url       = {https:\/\/doi.org\/10.1117\/12.2305048}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>2.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.2304723\">Perturbation Based Sparse Subspace Clustering<\/a><br><strong>A. C. Gurbuz<\/strong><br><em>SPIE Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, vol. 10658, pp. 159-169, 2018<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2018perturbation,\n  author    = {A. C. Gurbuz},\n  title     = {Perturbation Based Sparse Subspace Clustering},\n  booktitle = {SPIE Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, vol. 10658, pp. 159-169, 2018},\n  year      = {2018},\n  url       = {https:\/\/doi.org\/10.1117\/12.2304723}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group has-background\" style=\"border-left-color:#CC0000;border-left-width:4px;background-color:#f7f8f9;margin-top:0px;margin-bottom:26px;padding-top:14px;padding-right:18px;padding-bottom:14px;padding-left:18px\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-1c55efa1 wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\" style=\"margin-top:0px;margin-bottom:6px\"><strong>1.<\/strong> <a href=\"https:\/\/doi.org\/10.1117\/12.2304397\">Cognitive Radar Utilizing Multifunctional Reconfigurable Antennas<\/a><br><strong>A. C. Gurbuz<\/strong>, S. Z. Gurbuz and B. A. Cetiner<br><em>SPIE Conference on Radar Sensor Technology XXII, April 2018<\/em><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\" style=\"margin-top:0px;margin-bottom:0px\"><summary>BibTeX<\/summary>\n<pre class=\"wp-block-code\"><code>@inproceedings{gurbuz2018cognitive,\n  author    = {A. C. Gurbuz and S. Z. Gurbuz and B. A. Cetiner},\n  title     = {Cognitive Radar Utilizing Multifunctional Reconfigurable Antennas},\n  booktitle = {SPIE Conference on Radar Sensor Technology XXII, April 2018},\n  year      = {2018},\n  url       = {https:\/\/doi.org\/10.1117\/12.2304397}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Full publication record:<\/strong> <a href=\"https:\/\/www.alicafergurbuz.org\/publications.html\">alicafergurbuz.org\/publications<\/a> &nbsp;\u00b7&nbsp; <a href=\"https:\/\/scholar.google.com\/citations?user=SU8Ucf4AAAAJ&amp;hl=en\">Google Scholar<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Peer-reviewed conference papers published during the IMPRESS Lab era (2018\u2013present). IMPRESS Lab members are shown in bold. For the complete publication record, including work prior&#8230;<\/p>\n","protected":false},"author":152,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-fullwidth.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-62","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages\/62","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/users\/152"}],"replies":[{"embeddable":true,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/comments?post=62"}],"version-history":[{"count":12,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages\/62\/revisions"}],"predecessor-version":[{"id":231,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages\/62\/revisions\/231"}],"wp:attachment":[{"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/media?parent=62"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}