{"id":108,"date":"2025-07-27T00:29:37","date_gmt":"2025-07-27T05:29:37","guid":{"rendered":"https:\/\/research.ece.ncsu.edu\/impress\/?page_id=108"},"modified":"2026-08-02T20:19:27","modified_gmt":"2026-08-03T01:19:27","slug":"other-publications","status":"publish","type":"page","link":"https:\/\/research.ece.ncsu.edu\/impress\/other-publications\/","title":{"rendered":"Other Publications"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9784dc39 wp-block-columns-is-layout-flex\" style=\"margin-top:0px;margin-bottom:8px\">\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\">Conference abstracts, workshop presentations and other publications from the <strong>IMPRESS Lab era (2019\u2013present)<\/strong>. IMPRESS Lab members are shown in <strong>bold<\/strong>. For the complete record, including earlier abstracts and non-English publications, 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\">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>15.<\/strong> UAS-Based GNSS-R, LiDAR, and Multispectral Data Fusion for Field Scale Soil Moisture Estimation<br><strong>V. Senyurek<\/strong>, <strong>M. E. Karim<\/strong>, <strong>M. A. S. Rafi<\/strong>, J. E. Ball and <strong>A. C. Gurbuz<\/strong><br><em>AGU Fall Meeting Abstracts 2025, H52B-09, December 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>@misc{senyurek2025uasbased,\n  author       = {V. Senyurek and M. E. Karim and M. A. S. Rafi and J. E. Ball and A. C. Gurbuz},\n  title        = {UAS-Based GNSS-R, LiDAR, and Multispectral Data Fusion for Field Scale Soil Moisture Estimation},\n  howpublished = {AGU Fall Meeting Abstracts 2025, H52B-09, December 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>14.<\/strong> Deep Learning Based Automated Detection of Seafloor Gas Seeps: Depth-Dependent Performance and the Role of Temporal Context<br><strong>S. M. Manjur<\/strong>, A. D. Skarke and <strong>A. C. Gurbuz<\/strong><br><em>AGU Fall Meeting Abstracts 2025, OS43C-VR8073, December 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>@misc{manjur2025deep,\n  author       = {S. M. Manjur and A. D. Skarke and A. C. Gurbuz},\n  title        = {Deep Learning Based Automated Detection of Seafloor Gas Seeps: Depth-Dependent Performance and the Role of Temporal Context},\n  howpublished = {AGU Fall Meeting Abstracts 2025, OS43C-VR8073, December 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>13.<\/strong> Deep Learning-Based Radio Frequency Interference Detection for SMAP Radiometry Using Semi-Synthetic Time-Frequency Representations<br><strong>A. M. Alam<\/strong>, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>AGU Fall Meeting Abstracts 2025, H43I-VR8085, December 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>@misc{alam2025deep,\n  author       = {A. M. Alam and M. Kurum and A. C. Gurbuz},\n  title        = {Deep Learning-Based Radio Frequency Interference Detection for SMAP Radiometry Using Semi-Synthetic Time-Frequency Representations},\n  howpublished = {AGU Fall Meeting Abstracts 2025, H43I-VR8085, December 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>12.<\/strong> Grid Size Optimization for Soil Moisture Estimation Using UAS-Based GNSS Reflectometry<br><strong>S. B. Baray<\/strong>, <strong>M. M. Farhad<\/strong>, <strong>V. Senyurek<\/strong>, <strong>A. C. Gurbuz<\/strong> and M. Kurum<br><em>2025 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), pp. 37-37, 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>@misc{baray2025grid,\n  author       = {S. B. Baray and M. M. Farhad and V. Senyurek and A. C. Gurbuz and M. Kurum},\n  title        = {Grid Size Optimization for Soil Moisture Estimation Using UAS-Based GNSS Reflectometry},\n  howpublished = {2025 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), pp. 37-37, 2025},\n  year         = {2025}\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>11.<\/strong> Automated Detection of Seafloor Gas Seeps with an Attention-Guided Convolutional Neural Network<br>A. D. Skarke, <strong>A. C. Gurbuz<\/strong>, <strong>V. Senyurek<\/strong>, <strong>S. M. Manjur<\/strong>, R. Kalski and S. Gupta<br><em>AGU Fall Meeting Abstracts, vol. 2024, no. 573, OS43A-0573, 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>@misc{skarke2024automated,\n  author       = {A. D. Skarke and A. C. Gurbuz and V. Senyurek and S. M. Manjur and R. Kalski and S. Gupta},\n  title        = {Automated Detection of Seafloor Gas Seeps with an Attention-Guided Convolutional Neural Network},\n  howpublished = {AGU Fall Meeting Abstracts, vol. 2024, no. 573, OS43A-0573, 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>10.<\/strong> A Blended CYGNSS Soil Moisture Product Partitioned with Ancillary Data<br>E. Hodges et al.<br><em>2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), p. 174, 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>@misc{al2024a,\n  author       = {E. Hodges et al.},\n  title        = {A Blended CYGNSS Soil Moisture Product Partitioned with Ancillary Data},\n  howpublished = {2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), p. 174, 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>9.<\/strong> An Advanced Testbed for Passive\/Active Coexistence Research: A Comprehensive Framework for RFI Detection, Mitigation, and Calibration<br><strong>A. M. Alam<\/strong>, <strong>M. M. Farhad<\/strong>, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), p. 280, 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>@misc{alam2024an,\n  author       = {A. M. Alam and M. M. Farhad and M. Kurum and A. C. Gurbuz},\n  title        = {An Advanced Testbed for Passive\/Active Coexistence Research: A Comprehensive Framework for RFI Detection, Mitigation, and Calibration},\n  howpublished = {2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), p. 280, 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>8.<\/strong> 3-Year Agricultural Field Study for GNSS-R Based Soil Moisture Mapping<br><strong>V. Senyurek<\/strong>, <strong>M. A. S. Rafi<\/strong>, <strong>M. M. Farhad<\/strong>, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>2024 AI in Agriculture and Natural Resources Conference, College Station, TX, 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>@misc{senyurek20243year,\n  author       = {V. Senyurek and M. A. S. Rafi and M. M. Farhad and M. Kurum and A. C. Gurbuz},\n  title        = {3-Year Agricultural Field Study for GNSS-R Based Soil Moisture Mapping},\n  howpublished = {2024 AI in Agriculture and Natural Resources Conference, College Station, TX, USA, April 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>7.<\/strong> Evaluation of Deep-Learning Approach for Quasi-Global Soil Moisture Retrieval Using CYGNSS<br><strong>M. M. Nabi<\/strong>, <strong>V. Senyurek<\/strong>, F. Lei, M. Kurum and <strong>A. C. Gurbuz<\/strong><br><em>IEEE GNSS+R 2023, Boulder, CO, USA<\/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>@misc{nabi2023evaluation,\n  author       = {M. M. Nabi and V. Senyurek and F. Lei and M. Kurum and A. C. Gurbuz},\n  title        = {Evaluation of Deep-Learning Approach for Quasi-Global Soil Moisture Retrieval Using CYGNSS},\n  howpublished = {IEEE GNSS+R 2023, Boulder, CO, USA},\n  year         = {2023}\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> Enabling Subfield Scale Soil Moisture Mapping in Near Real-Time by Recycling L-Band GNSS Signals from Drones<br>M. Kurum, <strong>M. M. Farhad<\/strong>, <strong>V. Senyurek<\/strong> and <strong>A. C. Gurbuz<\/strong><br><em>European Geosciences Union, EGU23-10991, Copernicus Meetings, 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>@misc{kurum2023enabling,\n  author       = {M. Kurum and M. M. Farhad and V. Senyurek and A. C. Gurbuz},\n  title        = {Enabling Subfield Scale Soil Moisture Mapping in Near Real-Time by Recycling L-Band GNSS Signals from Drones},\n  howpublished = {European Geosciences Union, EGU23-10991, Copernicus Meetings, 2023},\n  year         = {2023}\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>5.<\/strong> Design and Implementation of a Ground Penetrating Radar (GPR) from an Unmanned Aircraft System (UAS)<br><strong>M. Duck<\/strong>, <strong>A. C. Gurbuz<\/strong> and M. Kurum<br><em>Proceedings of the USNC\/URSI Radio Science Meeting, Boulder, CO, USA, January 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>@misc{duck2022design,\n  author       = {M. Duck and A. C. Gurbuz and M. Kurum},\n  title        = {Design and Implementation of a Ground Penetrating Radar (GPR) from an Unmanned Aircraft System (UAS)},\n  howpublished = {Proceedings of the USNC\/URSI Radio Science Meeting, Boulder, CO, USA, January 2022},\n  year         = {2022}\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> Deep Learning Based RFI Detection and Mitigation for SMAP Using Convolutional Neural Networks<br><strong>A. M. Alam<\/strong>, <strong>A. C. Gurbuz<\/strong> and M. Kurum<br><em>Radio Frequency Interference (RFI) Workshop, February 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>@misc{alam2022deep,\n  author       = {A. M. Alam and A. C. Gurbuz and M. Kurum},\n  title        = {Deep Learning Based RFI Detection and Mitigation for SMAP Using Convolutional Neural Networks},\n  howpublished = {Radio Frequency Interference (RFI) Workshop, February 2022},\n  year         = {2022}\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> Soil Moisture Mapper: A GNSS-R Approach for Soil Moisture Retrieval on UAV<br><strong>V. Senyurek<\/strong>, <strong>M. M. Farhad<\/strong>, <strong>A. C. Gurbuz<\/strong>, M. Kurum and R. Moorhead<br><em>AI for Agriculture and Food Systems 2022 Workshop, March 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>@misc{senyurek2022soil,\n  author       = {V. Senyurek and M. M. Farhad and A. C. Gurbuz and M. Kurum and R. Moorhead},\n  title        = {Soil Moisture Mapper: A GNSS-R Approach for Soil Moisture Retrieval on UAV},\n  howpublished = {AI for Agriculture and Food Systems 2022 Workshop, March 2022},\n  year         = {2022}\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>2.<\/strong> Relating CYGNSS Observations to Soil Moisture Variations During the 2018 Hurricane Season<br>O. Eroglu, D. R. Boyd, <strong>A. C. Gurbuz<\/strong> and M. Kurum<br><em>Proceedings of the USNC\/URSI Radio Science Meeting, Boulder, CO, USA, January 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>@misc{eroglu2019relating,\n  author       = {O. Eroglu and D. R. Boyd and A. C. Gurbuz and M. Kurum},\n  title        = {Relating CYGNSS Observations to Soil Moisture Variations During the 2018 Hurricane Season},\n  howpublished = {Proceedings of the USNC\/URSI Radio Science Meeting, Boulder, CO, USA, January 2019},\n  year         = {2019}\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> Investigation of Root-Zone Soil Moisture Profile Sensitivity to Multiple Signal of Opportunity Sources<br>D. R. Boyd, M. Kurum, O. Eroglu, <strong>A. C. Gurbuz<\/strong>, J. L. Garrison, B. Nold, J. R. Piepmeier, M. A. Vega and R. Bindlish<br><em>Proceedings of the USNC\/URSI Radio Science Meeting, Boulder, CO, USA, January 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>@misc{boyd2019investigation,\n  author       = {D. R. Boyd and M. Kurum and O. Eroglu and A. C. Gurbuz and J. L. Garrison and B. Nold and J. R. Piepmeier and M. A. Vega and R. Bindlish},\n  title        = {Investigation of Root-Zone Soil Moisture Profile Sensitivity to Multiple Signal of Opportunity Sources},\n  howpublished = {Proceedings of the USNC\/URSI Radio Science Meeting, Boulder, CO, USA, January 2019},\n  year         = {2019}\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>Conference abstracts, workshop presentations and other publications from the IMPRESS Lab era (2019\u2013present). IMPRESS Lab members are shown in bold. For the complete record, including&#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-108","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages\/108","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=108"}],"version-history":[{"count":4,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages\/108\/revisions"}],"predecessor-version":[{"id":232,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages\/108\/revisions\/232"}],"wp:attachment":[{"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/media?parent=108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}