{"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":"2025-07-27T00:36:19","modified_gmt":"2025-07-27T05:36:19","slug":"conferences","status":"publish","type":"page","link":"https:\/\/research.ece.ncsu.edu\/impress\/conferences\/","title":{"rendered":"Conference Papers"},"content":{"rendered":"\n
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2025<\/h3>\n\n\n\n

110. <\/a>Insights and Improvements in Signal Processing for UAS-Based Non-Cooperative P-Band Reflectometry<\/a><\/mark><\/strong>
T Anjum, MM Farhad, M Kurum, AC Gurbuz
2025 IEEE International Radar Conference (RADAR), 1-6<\/p>\n\n\n\n

109. <\/a>Antenna Selection for Direction of Arrival Estimation with Deep Learning<\/a><\/mark><\/strong>
CO Ayna, AC Gurbuz
2025 IEEE International Radar Conference (RADAR), 1-6<\/p>\n\n\n\n

108. <\/a><\/a>Learnable Gaussian Filter-Based Automatic RF Waveform Modulation Recognition<\/a><\/mark><\/strong>
B Hicks, S Biswas, AC Gurbuz
2025 IEEE International Radar Conference (RADAR), 1-6<\/p>\n\n\n\n

107. Automatic classification of radar and communication waveforms through interpretable deep learning<\/a><\/mark><\/strong>
Bruce Hicks, Sabyasachi Biswas, John E. Ball, and Ali C. Gurbuz<\/a>
Proc. SPIE 13471, Radar Sensor Technology XXIX, 134710M (29 May 2025); https:\/\/doi.org\/10.1117\/12.3054111<\/a><\/p>\n\n\n\n

106. Comparative analysis of feature selection techniques to identify a set of optimal features for crop yield estimation using UAS-based multisensor data<\/a><\/mark><\/strong>
Mohammad Abdus Shahid Rafi, <\/em>Volkan Senyurek, <\/em>John E. Ball, <\/em>Ali C. Gurbuz<\/a>
 Proc. SPIE 13475, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping X, 134750Q (28 May 2025)<\/p>\n\n\n\n

105. Machine learning-based seafloor gas seep detection in sonar water column images<\/a><\/mark><\/strong>
Sultan Mohammad Manjur, <\/em>Volkan Senyurek, <\/em>Ramon Kalski, <\/em>Adam Skarke, <\/em>Ali C. Gurbuz<\/a>
 Proc. SPIE 13482, Ocean Sensing and Monitoring XVII, 134820F (21 May 2025); https:\/\/doi.org\/10.1117\/12.3054109<\/a><\/p>\n\n\n\n

2024<\/mark><\/h3>\n\n\n\n

104. Learning Constrained Binary Color Filter Arrays For Enhanced Demosaicking with Trainable Hard Thresholding<\/mark><\/strong>
C.O. Ayna, A. C. Gurbuz<\/strong>
13th IEEE International Workshop on Computational Cameras and Displays, June 18, Seattle, USA.<\/em><\/p>\n\n\n\n

103. Evaluation of Conventional Radio Frequency Interference Detection Algorithms in the Presence of 5G Signals in a Controlled Testbed<\/mark><\/strong>
A. M. Alam, M. Farhad, W. H. Al-Qwider, V. Marojevic, M. Kurum, A. C. Gurbuz<\/strong>
IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) in Workshop on Spectrum Coexistence in Passive Earth Obervation and Radio Astronomy, 13-16 May 2024, Washington, DC<\/p>\n\n\n\n

102. A deep learning approach for high-accuracy radiometer calibration using smap satellite data<\/mark><\/strong>
A. M. Alam, M. Kurum, M. Ogut, A. C. Gurbuz<\/strong>
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201924), Athens, Greece, 2024<\/p>\n\n\n\n

101. Preliminary results from three years of UAS-based GNSS-R field campaign over agricultural fields for field-scale soil moisture retrieval<\/mark><\/strong>
Md Mehedi Farhad, Volkan Senyurek, Mohammad Abdus Shahid Rafi, Ardeshir Adeli, Mehmet Kurum, Ali Cafer Gurbuz<\/strong>
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201924), Athens, Greece, 2024<\/p>\n\n\n\n

100. Learning optimum binary color filter arrays for demosaicing with neural networks<\/mark><\/strong>
C.O. Ayna, A. C. Gurbuz<\/strong>
SPIE Defense Commercial Sensing<\/em>, April 2024, National Harbor, MD, USA.<\/em><\/p>\n\n\n\n

99. Robustness analysis of Wi-Fi-based human activity recognition<\/mark><\/strong>
A. Dahal, S. Biswas, A. C. Gurbuz<\/strong>
SPIE Defense Commercial Sensing<\/em>, April 2024, National Harbor, MD, USA.<\/em><\/p>\n\n\n\n

98. Accelerated Hough transform-based tree diameter extraction from LiDAR point cloud data<\/mark><\/strong>
B. Hicks, A. Bonner, L. Vauhn, D. Saucier, L. Dabbiru, J. Ball, A.C. Gurbuz<\/strong>
SPIE Defense Commercial Sensing<\/em>, April 2024, National Harbor, MD, USA.<\/em><\/p>\n\n\n\n

97. Performance assessment of crop line detection in corn field from unmanned aerial vehicle video<\/mark><\/strong>
M. Rafi, V. Senyurek, A. C. Gurbuz<\/strong>
SPIE Defense Commercial Sensing<\/em>, April 2024, National Harbor, MD, USA.<\/em><\/p>\n\n\n\n

96. Deep Learning-Based High-Resolution Radar Micro-Doppler Signature Reconstruction for Enhanced Activity Recognition<\/mark><\/strong>
S. Biswas, A. M. Alam, A. C. Gurbuz<\/strong>
2024 IEEE Radar Conference, Denver, Colorado USA from May 6-10, 2024.<\/p>\n\n\n\n

95. Deep Learning Based High-Resolution Frequency Estimation for Sparse Radar Range Profiles<\/mark><\/strong>
S. Biswas, A.C. Gurbuz<\/strong>
2024 IEEE Radar Conference, Denver, Colorado USA from May 6-10, 2024.<\/p>\n\n\n\n

94. Deep Learning-Based Direction-of-Arrival Estimation with Covariance Reconstruction<\/mark><\/strong>
A. M. Alam, C. O. Ayna, S. Biswas, J. Rogers. J. Ball, A.C. Gurbuz<\/strong>
2024 IEEE Radar Conference, Denver, Colorado USA from May 6-10, 2024.<\/p>\n\n\n\n

2023<\/h3>\n\n\n\n

93. Deep Sparse Array Design for Integrated Sensing and Communications<\/mark><\/a><\/strong>
A. M. Elbir, K. V. Mishra and A. C. Gurbuz<\/strong>,
2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-5, doi: 10.1109\/RADAR54928.2023.10371037.<\/em><\/p>\n\n\n\n

92. Radar-Lidar Fusion for Classification of Traffic Signaling Motion in Automotive Applications,<\/strong><\/mark>
S. Biswas<\/code>, J. E. Ball and A. C. Gurbuz<\/strong>,
2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-5, doi: 10.1109\/RADAR54928.2023.10371020.<\/em><\/p>\n\n\n\n

91.  Machine Learning Based Automated Detection of Seafloor Gas Seeps<\/mark><\/strong>
B. Hicks, C. O. Ayna, V. Senyurek, S. Gupta, A. Skarke and A. C. Gurbuz<\/strong>,
OCEANS 2023 – MTS\/IEEE U.S. Gulf Coast, Biloxi, MS, USA, 2023, pp. 1-6, doi: 10.23919\/OCEANS52994.2023.10337038.<\/em><\/p>\n\n\n\n

90.  Software Radio Testbed For 5g And L-Band Radiometer Coexistence Research<\/mark><\/strong>
Walaa Al-Qwider, Ahmed Manavi Alam, Md Mehedi Farhad, Mehmet Kurum, Ali C. Gurbuz, Vuk Marojevic
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201923), Pasadena, CA, 2023<\/em><\/p>\n\n\n\n

89.  SDR Based Agile Radiometer With Onboard RFI Processing On A Small UAS<\/mark><\/strong>
Md Mehedi Farhad, Sabyasachi Biswas, A. M. Alam, Ali C. Gurbuz, Mehmet Kurum
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201923), Pasadena, CA, 2023<\/em><\/p>\n\n\n\n

88.     High-Resolution Radio Frequency Interference Detection In Microwave Radiometry Using Deep Learning<\/strong><\/mark>
Ahmed Manavi Alam, Mehmet Kurum, Ali Gurbuz
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201923), Pasadena, CA, 2023<\/em><\/p>\n\n\n\n

87.    Fusing Sentinel-1 With Cygnss To Account For Vegetation Effects In Soil Moisture Retrievals<\/strong>
<\/mark>Ege Bozdag, Volkan Senyurek, M.M. Nabi, Mehmet Kurum, Ali Gurbuz
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201923), Pasadena, CA, 2023<\/em><\/p>\n\n\n\n

86.     Complex SincNet for More Interpretable Radar Based Activity Recognition<\/mark><\/strong>
S. Biswas, C. O. Ayna, S. Z. Gurbuz and A. C. Gurbuz
2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6<\/em><\/p>\n\n\n\n

85.    <\/em>Classification of Traffic Signaling Motion in Automotive Applications Using FMCW Radar<\/mark><\/strong>
S. Biswas, B. Bartlett, J. E. Ball and A. C. Gurbuz
2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6<\/em><\/p>\n\n\n\n

2022<\/h3>\n\n\n\n

84.     Convolutional Neural Network Based Antenna Beam Coefficient Generation for Planar Arrays<\/strong><\/a>
G. D. King, M. A. Towfiq, A. C. Gurbuz and B. A. Cetiner
2022 IEEE International Symposium on Antennas and Propagation Denver, CO, USA, 2022, pp. 445-446<\/em><\/p>\n\n\n\n

83.     Data-Driven Covariance Estimation<\/strong><\/a>
John T. Rogers, J. E. Ball, A. C. Gurbuz
2022 IEEE International Symposium on Phased Array Systems and Technology, Boston, MA, October 2022<\/em><\/p>\n\n\n\n

82.     Robustness Analysis for Deep Learning-Based Image Reconstruction Models<\/strong><\/a>
C. O. Ayna, A. C. Gurbuz
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

81.    Design and Implementation of a Software Defined Radio-Based Radiometer Operating from a Small Unmanned Aircraft Systems<\/strong><\/a>
Md Mehedi Farhad, Sabyasachi Biswas, Mohammad Abdus Shahid Rafi, Mehmet Kurum, Ali C Gurbuz
2022 IEEE Inter. Symposium on Antennas and Propagation, Denver, CO, pp. 17-18<\/em><\/p>\n\n\n\n

80.    Machine learning-based high resolution global and small scale soil moisture estimation using GNSS-R<\/strong><\/a>
V. Senyurek, M. Farhad, F. lei, A. C. Gurbuz, M. Kurum, R. Moorhead
SouthEastCon 2022, Mobile, AL, USA, 2022, pp. 434-435<\/em><\/p>\n\n\n\n

79.    Preliminary Snow Water Equivalent Retrieval of SnowEx20 SWESARR Data<\/strong><\/a>
D. R. Boyd, A. M. Alam, M. Kurum, A. C. Gurbuz, B. Osmanoglu
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201922), Kuala Lumpur, Malaysia, 2022, pp. 3927-3930<\/em><\/p>\n\n\n\n

78.    A Ubiquitous Gnss-R Approach Using Spinning Smartphone Onboard A Small UAS<\/strong><\/a>
M. Kurum, M. Farhad, J. Diao, A. C. Gurbuz
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201922), Kuala Lumpur, Malaysia, 2022, pp. 5208-5211<\/em><\/p>\n\n\n\n

77.    SMAP radiometer RFI prediction with deep learning using antenna counts<\/strong><\/a>
Ahmed M. Alam, A. C. Gurbuz, M. Kurum
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201922), Kuala Lumpur, Malaysia, 2022, pp. 8016-8019
[ Best Student Paper Finalist]<\/strong><\/em><\/p>\n\n\n\n

76.     Data Driven Joint Hyperspectral Band Selection and Image Classification<\/strong><\/a>
R. Mdrafi and A. C. Gurbuz
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201922), Kuala Lumpur, Malaysia, 2022, pp. 1736-1739<\/em><\/p>\n\n\n\n

75.    A Deep Learning-Based Soil Moisture Estimation In Conus Region Using Cygnss Delay Doppler Maps<\/strong><\/a>
M. M. Nabi, V. Senyurek, A. Gurbuz, M. Kurum
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201922), Kuala Lumpur, Malaysia, 2022, pp. 6177-6180<\/em><\/p>\n\n\n\n

74.    RF Micro-Doppler Classification with Multiple Spectrograms from Angular Subspace Projections<\/strong><\/a>
E. Kurtoglu, A. C. Gurbuz, E. Malaia, S. Gurbuz
2022 IEEE Radar Conference (RadarConf22), New York City, NY, USA, 2022, pp. 1-6<\/em><\/p>\n\n\n\n

73.    Performance Comparison of Radar and Video for American Sign Language Recognition<\/strong><\/a>
M. Rahman, E. Kurtoglu, M. Taskin, K. Esmer, Ali C. Gurbuz, E. Malaia, S. Gurbuz
IEEE 2022 Radar Conference, New York City, NY, USA, 2022, pp. 1-6
\u200b<\/em>
72.    Local Detection of OLTC Operation to Support Decentralized Control of Active End-Nodes<\/strong><\/a>
Emin Ucer, Emre Kurtoglu, Mithat Kisacikoglu, Ali Gurbuz, Sevgi Gurbuz
2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 1-5<\/em><\/p>\n\n\n\n

2021<\/h3>\n\n\n\n

71.    Compressed Classification From Learned Measurements<\/strong><\/a>
R. Mdrafi and A. C. Gurbuz
Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV) Workshops, October 2021, pp: 4038-4047<\/em><\/p>\n\n\n\n

70.    Data Driven Learning of Constrained Measurement Matrices for Signal Reconstruction<\/strong><\/a>
R. Mdrafi and A. C. Gurbuz
2021 55th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2021, pp. 1597-1601.<\/em><\/p>\n\n\n\n

69.     Word-Level ASL Recognition and Trigger Sign Detection with RF Sensors<\/strong><\/a>
MM. Rahman, E. Kurtoglu, R. Mdrafi, A. C. Gurbuz, E. Malaia, C. Crawford, D. Griffin, S. Gurbuz
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada, 2021, pp. 8233-8237.<\/em><\/p>\n\n\n\n

68.    Word-Level Sign Language Recognition Using Linguistic Adaptation of 77 GHz FMCW Radar Data<\/strong><\/a>
M. Rahman, S. Z. Gurbuz, A. C. Gurbuz, E. A. Malaia; D. J. Griffin; C. Crawford
IEEE Radar Conference, Atlanta, GA, May 2021.<\/em><\/p>\n\n\n\n

67.     Sequential Classification of Sign Language Gestures in the Context of Daily Living Using RF Sensing<\/strong><\/a>
E. Kurtoglu, S. Z. Gurbuz, A. C. Gurbuz, E. A. Malaia; D. J. Griffin; C. Crawford
IEEE Radar Conference, Atlanta, GA, May 2021.<\/em><\/p>\n\n\n\n

66.     Quasi-global GNSS-R soil moisture retrievals at high spatio-temporal resolution from CYGNSS and SMAP data<\/strong><\/a>
F. Lei, V. Senyurek, M. Kurum, A. C. Gurbuz, D. Boyd, R. Moorhead
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201921), Brussels, 2021.<\/em><\/p>\n\n\n\n

65.     Spatial and temporal interpolation of CYGNSS soil moisture estimations<\/strong><\/a>
V. Senyurek, A. C. Gurbuz, M. Kurum, F. Lei, D. Boyd, R. Moorhead
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201921), Brussels, 2021.<\/em><\/p>\n\n\n\n

64.     Investigation of Band selection techniques to Enable Classification of Hyperspectral Imagery at the edge<\/strong><\/a>
S. Butler, S. R. Price, Ali C. Gurbuz, S. J. Price, J. R. Fairley
SPIE Defense Commercial Sensing, Proceedings Volume 11736, Real-Time Image Processing and Deep Learning 2021; 117360L, 2021, Orlando, FL.

63.      <\/em>A UAS based RF testbed for water utilization in agroecosystems<\/strong><\/a>
M. Kurum, Ali C. Gurbuz, S. Barnes, D. Boyd, M. Duck, M. Farhad, A. Flynt, N. Goyette, P. Peranich, M. Schneider, V. Senyurek
SPIE Defense Commercial Sensing, Proceedings Volume 11747, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI; 117470J (2021), Orlando, FL.<\/em><\/p>\n\n\n\n

2020<\/h3>\n\n\n\n

62.     ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network<\/strong><\/a>
S. Z. Gurbuz; A. C. Gurbuz; E. A. Malaia; D. J. Griffin; C. Crawford; E. Kurtoglu; M. M. Rahman; R. Aksu; R. Mdrafi
2020 IEEE SENSORS, Rotterdam, Netherlands, 2020, pp. 1-4. [Selected by Technical Program Committee as a Top Paper]<\/em><\/p>\n\n\n\n

61.    Extending free\u2010space mapping to unstructured, off\u2010road environments<\/strong><\/a>
Eric D. Farmer, John E. Ball, Ali C. Gurbuz
Proc. SPIE 11415, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure 2020, 1141509 (23 April 2020)<\/em><\/p>\n\n\n\n

60.     A Machine Learning Approach for Understanding Power Distribution System Congestion<\/strong><\/a>
E. Ucer, M. Kisacikoglu, A. Gurbuz, S. Rahman and M. Yuksel
2020 IEEE Energy Conversion Congress and Exposition (ECCE), Detroit, MI, USA, 2020, pp. 1977-1983<\/em><\/p>\n\n\n\n

59.     A Linguistic Perspective on Radar Micro-Doppler Analysis of American Sign Language<\/strong><\/a>
S. Z. Gurbuz, A. C. Gurbuz, E. A. Malaia, D. J. Griffin, C. Crawford, M. M. Rahman, R. Aksu, E. Kurtoglu, R. Mdrafi, A. Anbuselvam, T. Macks, E. Ozcelik
2020 IEEE International Radar Conference, Washington D.C. April 27 – May 1, 2020<\/em><\/p>\n\n\n\n

58.     GNSS Reflectometry from Smartphones: Testing performance of In-built antennas and GNSS chips<\/strong><\/a>
M. Kurum, A. C. Gurbuz, and Mehedi Farhad
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201920),Waikoloa (Hawaii), Jul. 19\u2013Jul. 24, 2020<\/em><\/p>\n\n\n\n

57.     Machine Learning based Retrieval of Soil Moisture at High Spatio-Temporal Scales using CYGNSS and SMAP Observations<\/mark><\/strong>
F. Lei, V. Senyurek, M. Kurum, A. C. Gurbuz, R. Moorhead and D. Boyd
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201920),Waikoloa (Hawaii), Jul. 19\u2013Jul. 24, 2020<\/em><\/p>\n\n\n\n

56.    Preliminary Study of Cramer-Rao Lower Bound for Subsurface Soil Moisture Estimation using SoOp Reflectometry<\/mark><\/strong>
D. Boyd, M. Kurum and A. C. Gurbuz
IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201920),Waikoloa (Hawaii), Jul. 19\u2013Jul. 24, 2020<\/em><\/p>\n\n\n\n

2019<\/h3>\n\n\n\n

55.    Off-Grid Aware Spatial Covariance Estimation in mmWave Communications<\/strong>
C. K. Anjinappa, A. C. Gurbuz, Y. Yapici, I. Guvenc
Asilomar Conference on Signals Systems and Computers, Asilomar Grounds, CA, Nov 1-4 2019.<\/em><\/p>\n\n\n\n

54.    Learning to Sense and Reconstruct A Class of Signals<\/strong>
R. H. MdRafi and A. C. Gurbuz
2019 IEEE Radar Conference (RadarConf), Boston, MA, USA, 2019, pp. 1-5.<\/em><\/p>\n\n\n\n

53.    Inversion Study of Simulated and Physical Soil Moisture Profiles Using Multifrequency SoOP-Sources<\/strong>
D. R. Boyd, M. Kurum, J. L. Garrison, B. Nold, R. Mdrafi, O. Eroglu, A. C. Gurbuz
Proceedings of the IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201919), Valencia, Spain, Jul. 28\u2013Aug. 2, 2019. (invited).<\/em><\/p>\n\n\n\n

52.    Investigations Into CYGNSS-based Soil Moisture Retrieval Algorithms<\/strong><\/a>
O. Eroglu, M. Kurum, D. R. Boyd, A. C. Gurbuz
Proceedings of the IEEE International Geosciences and Remote Sensing Symposium (IGARSS\u201919), Valencia, Spain, Jul. 28\u2013Aug. 2, 2019.<\/em><\/p>\n\n\n\n

51.    On the Feasibility of Environmental Monitoring via Interferometric Smartphone GNSS Reflectometry<\/strong>
M. Kurum, A. C. Gurbuz, M. Scheider, C. Nelson, L. Orsini
Proceedings of The Institute of Navigation (ION)\u2019s Pacific PNT Conference, Honolulu, HI, April. 8\u201311, 2019.<\/em><\/p>\n\n\n\n

50.    Investigation of Root-Zone Soil Moisture Profile Sensitivity to Multiple Signal of Opportunity Sources<\/strong>
D. R. Boyd, M. Kurum, O. Eroglu, A. C. Gurbuz, J. L. Garrison, B. Nold, J. Piepmeier, M. S. Vega, and R. Bindlish
Proceedings ofThe USNC\/URSI Radio Science Meeting, Boulder, CO (USA), Jan. 9\u201312, 2019.<\/em><\/p>\n\n\n\n

49.    Relating CYGNSS Observations to Soil Moisture Variations During The 2018 Hurricane Season<\/strong><\/a>
O. Eroglu, D. R. Boyd, A. C. Gurbuz, and M. Kurum
Proceedings of The USNC\/URSI Radio Science Meeting, Boulder, CO (USA), Jan. 9\u201312, 2019.<\/em><\/p>\n\n\n\n

48.    Estimating the Number of Sources via Deep Learning<\/strong>
J. Rogers, J. E. Ball and A. C. Gurbuz
2019 IEEE Radar Conference (RadarConf), Boston, MA, USA, 2019, pp. 1-5.<\/em><\/p>\n\n\n\n

47.    Data Driven Measurement Matrix Learning for Sparse Reconstruction<\/strong><\/a>
R. H. MdRafi and A. C. Gurbuz
2019 IEEE Data Science Workshop (DSW), Minneapolis, MN, USA, 2019, pp. 253-257.<\/em><\/p>\n\n\n\n

2018-2003<\/h3>\n\n\n\n

46.    Learning EV Integration Impact on a Low Voltage Distribution Grid<\/strong>
E. Ucer, M. C. Kisacikoglu and A. C. Gurbuz
2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5.<\/em><\/p>\n\n\n\n

45.    Multifunctional reconfigurable antennas for cognitive radars<\/strong>
A. C. Gurbuz and B. Cetiner
2018 IEEE Radar Conference (RadarConf18), Oklahoma City, OK, 2018, pp. 1510-1515.<\/em><\/p>\n\n\n\n

44.    A CubeSat Train for Radar Sounding and Imaging of Antarctic Ice Sheet<\/strong>
P. Gogineni, C.R. Simpson, J. yan, C. R. Oneill, R. Sood, S. Gurbuz, A.C. Gurbuz
2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, 2018, pp. 4138-4141.<\/em><\/p>\n\n\n\n

43.    Sparse Channel Estimation in Millimeter-Wave Communications via Parameter Perturbed OMP<\/strong>
A. C. Gurbuz, Y. Yapici and I. Guvenc
2018 IEEE International Conference on Communications Workshops (ICC Workshops), Kansas City, MO, 2018, pp. 1-6.<\/em><\/p>\n\n\n\n

42.    Adaptive measurement design for direction of arrival estimation and target tracking<\/strong>
A. C. Gurbuz
SPIE Conf. on Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, April 2018<\/em><\/p>\n\n\n\n

41.    Perturbation based sparse subspace clustering<\/strong>
A. C. Gurbuz
SPIE Conf. on Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, April 2018<\/em><\/p>\n\n\n\n

40.     Cognitive radar utilizing multifunctional reconfigurable antennas<\/strong>
A. C. Gurbuz, S. Z. Gurbuz, B. Cetiner
SPIE Conference on Radar Sensor Technology XXII, April 2018<\/em><\/p>\n\n\n\n

39.   Real-time multiple velocity false target generation in digital radio frequency memory<\/strong>
M. \u0130spir, A. Orduy\u0131lmaz, M. Serin, A. Y\u0131ld\u0131r\u0131m and A. C. Gurbuz
2016 IEEE Radar Conference (RadarConf), Philadelphia, PA, 2016, pp. 1-6.<\/em><\/p>\n\n\n\n

38.    SAR image reconstruction with joint off-grid target and phase error corrections<\/strong>
S. Camlica, A. C. Gurbuz and O. Arikan
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, 2015, pp. 4502-4505<\/em><\/p>\n\n\n\n

37.   Sparsity based robust Stretch Processing<\/strong>
I. Ilhan, A. C. Gurbuz and O. Arikan
2015 IEEE International Conference on Digital Signal Processing (DSP), Singapore, 2015, pp. 95-99.<\/em><\/p>\n\n\n\n

36.   Analysis of sparsity based joint SAR image reconstruction and autofocus techniques<\/strong>
S. Camlica, H. E. Guven, A. C. Gurbuz and O. Arikan
3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), Pisa, 17-19 June 2015, pp.99-103<\/em><\/p>\n\n\n\n

35.     Real-time pulse compression radar waveform generation and digital matched filtering<\/strong>
A. Orduy\u0131lmaz, G. Kara, M. Serin, A. Y\u0131ld\u0131r\u0131m, A. C. Gurbuz and M. Efe
2015 IEEE Radar Conference (RadarCon), Arlington, VA, 2015, pp. 0426-0431.<\/em><\/p>\n\n\n\n

34.    A recursive way for sparse reconstruction of parametric spaces<\/strong>
O. Teke, A. C. Gurbuz and O. Arikan
48th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 2014, pp. 637-641.<\/em><\/p>\n\n\n\n

33.    Sparse delay-Doppler image reconstruction under off-grid problem<\/strong>
O. Teke, A. C. Gurbuz and O. Arikan
IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), A Coruna, 2014, pp. 409-412.<\/em><\/p>\n\n\n\n

32.    Simulation of human micro-Doppler signatures with Kinect sensor<\/strong>
B. Erol, C. Karabacak, S. Z. G\u00fcrb\u00fcz and A. C. Gurbuz
2014 IEEE Radar Conference, Cincinnati, OH, 2014, pp. 0863-0868.<\/em><\/p>\n\n\n\n

31.     Multi-Aspect Angle Classification of Human Radar Signatures<\/strong>
C. Karabacak, S. Z. Gurbuz, M. B. Guldogan, A. C. Gurbuz
SPIE Conference on Active and Passive Signatures IV, Vol. 8734, Article Number: UNSP 873408, Baltimore, MD, USA, 2013<\/em><\/p>\n\n\n\n

30.    Energy and lifetime analysis of compressed Wireless Sensor Network communication<\/strong>
C. Karakus, A. Cafer Gurbuz and B. Tavli
IEEE Sensors Applications Symposium (SAS), Galveston, TX, 2013, pp. 7-10.<\/em><\/p>\n\n\n\n

29.    Classification of human micro-Doppler in a radar network<\/strong><\/a>
B. Tekeli, S. Z. G\u00fcrb\u00fcz, M. Y\u00fcksel, A. C. G\u00fcrb\u00fcz and M. B. Guldogan
2013 IEEE Radar Conference (RadarCon13), Ottawa, ON, 2013, pp. 1-6.<\/em><\/p>\n\n\n\n

28.    Off-grid sparse SAR image reconstruction by EMMP algorithm<\/strong>
S. Ugur, O. Ar\u0131kan and A. C. Gurbuz
2013 IEEE Radar Conference (RadarCon13), Ottawa, ON, 2013, pp. 1-4.<\/em><\/p>\n\n\n\n

27.    Importance ranking of features for human micro-Doppler classification with a radar network<\/strong>
S. Z. G\u00fcrb\u00fcz, B. Tekeli, M. Y\u00fcksel, C. Karabacak, A. C. G\u00fcrb\u00fcz and M. B. Guldogan
2013 16th International Conference on Information Fusion (FUSION), Istanbul, 2013, pp. 610-616.<\/em><\/p>\n\n\n\n

26.    Sparse Reconstruction Under Model <\/strong>Uncertainties<\/strong>
O. Teke, A. C. Gurbuz, O. Arikan
Signal Processing with Adaptive Sparse Structured Representations, EPFL, Lausanne, July 8-11, 2013.<\/em><\/p>\n\n\n\n

25.     Expectation Maximization Based Matching Pursuit<\/strong>
A. C. Gurbuz; M. Pilanci, O. Arikan
IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March 25-30, 2012<\/em><\/p>\n\n\n\n

24.    Analysis Of Compressive Sensing Based Through The Wall Imaging<\/strong>
M. Duman, A. C. Gurbuz
IEEE Radar Conference (RADAR), Atlanta, GA May 07-11, 2012<\/em><\/p>\n\n\n\n

23.    Analysis of unknown velocity and target off the grid problems in compressive sensing based subsurface imaging<\/strong>
M. A. C. Tuncer and A. C. Gurbuz
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, 2011, pp. 2880-2883.<\/em><\/p>\n\n\n\n

22.    Sparsity Enhanced Fast Subsurface Imaging with GPR<\/strong>
A. C. Gurbuz
XIII International Conference on Ground Penetrating Radar, Lecce , Italy, 2010<\/em><\/p>\n\n\n\n

21.    Location estimation using a broadband electromagnetic induction array<\/strong>
A. C. Gurbuz, W. R. Scott, Jr., J. H. McClellan
Proc. of the SPIE Detection and Sensing of Mines, Exp. Obj., and Obsc. Targets XIV, Vol. 7303, pp. 73030U-73030U-9, 2009<\/em><\/p>\n\n\n\n

20.    Shape Detection In Images Exploiting Sparsity<\/strong>
A. C. Gurbuz
24th International Symposium on Computer and Information Sciences, Guzelyurt , KKTC, 14-16 Sept. 2009, pp. 70 \u2013 75.<\/em><\/p>\n\n\n\n

19.    GPR Imaging Using Compressed Measurements<\/strong><\/a>
A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr.
IEEE International Symposium on Geoscience and Remote Sensing, (IGARSS) , vol. 2, pp. II-13 – II-16, July 2008, Boston USA<\/em><\/p>\n\n\n\n

18.    A Compressive Beamforming Method<\/strong><\/a>
A. C. Gurbuz, J. H. McClellan and V. Cevher
IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2617 \u2013 2620, March 2008, Las Vegas, USA.<\/em><\/p>\n\n\n\n

17.    Compressive Sensing of Parameterized Shapes in Images<\/strong><\/a>
A. C. Gurbuz, J. H. McClellan, J. Romberg and W. R. Scott
IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1949 \u2013 1952, March 2008, Las Vegas, USA.<\/em><\/p>\n\n\n\n

16.    Compressive Wireless Arrays for Bearing Estimation<\/strong><\/a>
V. Cevher, A. C. Gurbuz, J. H. McClellan
IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2497 \u2013 2500, March 2008, Las Vegas, USA.<\/em><\/p>\n\n\n\n

15.    Compressive Sensing for GPR Imaging<\/strong><\/a>
A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr.
41st Asilomar Conference on Signals, Systems and Computers, pp. 2223-2227, Nov. 2007, Pacific Grove, CA ,USA.<\/em><\/p>\n\n\n\n

14.    Feature Detection in Images by Adaptive Random Sampling<\/strong><\/a>
A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr.
IEEE Statistical Signal Processing Workshop, pp. 591 – 595, August 2007, Madison<\/em><\/p>\n\n\n\n

13.   Feature Detection in Higly Noisy Images using Random Sample Theory<\/strong><\/a>
A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr.
15th International Conference on Digital Signal Processing, pp. 423- 426, July 1-4 2007 Cardiff, UK<\/em><\/p>\n\n\n\n

12.   Investigation of the detection of shallow tunnels using electromagnetic and seismic waves<\/strong><\/a>
T. Counts, G. D. Larson, A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr.
Proc. SPIE in Detection and Remediation Technologies for Mines and Minelike Targets XII , vol. 6553, pp. 65531G , 2007<\/em><\/p>\n\n\n\n

11.    Detecting Curved Underground Tunnels using Partial Radon Transforms<\/strong><\/a>
A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol. 1, pp(s):I-545-I-548, 15-20 April 2007, Honolulu, Hawai.<\/em><\/p>\n\n\n\n

10.   Vehicle Fingerprinting Using Drive-By Sounds<\/a><\/strong>
V. Cevher, R. Chellappa, A. C. Gurbuz, F. Shah, and James H. McClellan
25th Army Science Conf., 2006, Orlando, FL<\/em><\/p>\n\n\n\n

9.    Combined Ground Penetrating and Seismic System for Detecting Tunnels<\/strong><\/a>
W. R. Scott, Jr., T. Counts, G. D. Larson, A.C. Gurbuz, and J. H. McClellan
IEEE Int\u2019l Geoscience and Remote Sensing Symposium (IGARSS), pp. 1232 \u2013 1235, Aug 2006, Denver, CO,USA.<\/em><\/p>\n\n\n\n

8.    Iterative Detection of Linear Objects in GPR and Seismic Images<\/strong><\/a>
A. C. Gurbuz and J. H. McClellan
4th IEEE Workshop on Sensor Array and Multi-Channel Processing, pp. 118 – 121, July 2006, Waltham, MA, USA<\/em><\/p>\n\n\n\n

7.    Seismic Tunnel Imaging and Detection<\/strong><\/a>
A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr., and G. Larson
IEEE International Conference on Image Processing, pp. 3229 – 3232, October 8-11 2006, Atlanta, GA.<\/em><\/p>\n\n\n\n

6.    Application of Multi-Static Inversion Algorithms to Landmine Detection<\/strong><\/a>
A. C. Gurbuz, T. Counts, K. Kim
Proc. of the SPIE, Detection and Remediation Technologies for Mines and Minelike Targets XI, vol. 6217, pp. 621724-1, 621724-10 , 2006, Orlando FL, USA.<\/em><\/p>\n\n\n\n

5.    Predicting GPR Target Locations Using Time Delay Differences<\/strong><\/a>
A. C. Gurbuz, J. H. McClellan and W. R. Scott Jr.
Proc. of the SPIE, Detection and Remediation Technologies for Mines and Minelike Targets XI, vol. 6217, pp: 621731-1, 621731-9, Orlando FL, USA, 2006<\/em><\/p>\n\n\n\n

4.    Subsurface Target Imaging Using a Multi-Resolution 3D Quadtree Algorithm<\/strong><\/a>
A. C. Gurbuz, J. H McClellan , W. R Scott
Proc. of the SPIE vol. 5794, pp. 1172-1181, 2005<\/em><\/p>\n\n\n\n

3.    A Multi-Static Ground-Penetrating Radar with an Array of Resistively Loaded Vee Dipole Antennas for Landmine Detection<\/strong><\/a>
K. Kim, A. C. Gurbuz, W. R Scott, J. H McClellan
Proc. Of SPIE, vol. 5794, pp. 495\u2013506, June 2005<\/em><\/p>\n\n\n\n

2.    Imaging of Subsurface Targets Using a 3D Quadtree Algorithm<\/strong><\/a>
A. C. Gurbuz, J. H. McClellan, and W. R. Scott, Jr.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol. 4, pp. iv\/1105 – iv\/1108, 18-23 March, 2005, USA.<\/em><\/p>\n\n\n\n

1.    Combined Seismic, Radar, and Induction Sensor for Landmine Detection<\/strong><\/a>
W. R. Scott, Jr., K. Kim, G. D. Larson, A. C. Gurbuz, and J. H. McClellan
Proc. of the Int\u2019l IEEE Geoscience and Remote Sensing Sym., Vol.3, pp(s): 1613 – 1616 , 2004.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

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