Journal Papers
2025
58. Automated Detection of Seafloor Gas Seeps in Multibeam Echosounder Data With an Attention-Guided Convolutional Neural Network
S. M. Manjur, V. Senyurek, R. Kalski, S. Gupta, A. Skarke and A. C. Gurbuz
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 5633-5645, 2025,
57. DREAM-CFA: joint learning of binary color filter array and demosaicing
Cemre Ömer Ayna, Bahadir Kursat Gunturk, Ali Cafer Gurbuz
Journal of Electronic Imaging, Vol. 34, Issue 2, 023063 (April 2025).
56. Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign,
Farhad,M, Senyurek, V.; Rafi, M. A. S.; Baray, S. B.; McCraine, C.; Hathcock, L. A.; Adeli, A.; Yanbo, H.; Gurbuz, Ali C.; Kurum, M.
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. 18, pp. 16896-16915, 2025
2024
55. Beam Coefficient Prediction for Antenna Arrays Using Physics-Aware Convolutional Neural Networks
G. D. King, M. Asaduzzaman Towfiq, A. C. Gurbuz and B. A. Cetiner
IEEE Access, vol. 12, pp. 176908-176919, 2024, doi: 10.1109/ACCESS.2024.3491828
54. Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products
M. M. Nabi, V. Senyurek, M. Kurum and A. C. Gurbuz
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2024.3443100
53. HRSpecNET: A Deep Learning-Based High-Resolution Radar Micro-Doppler Signature Reconstruction for Improved HAR
S. Biswas, A. Manavi Alam and A. C. Gurbuz
IEEE Transactions on Radar Systems, vol. 2, pp. 484-497, 2024
52. SDR-Based Dual Polarized L-Band Microwave Radiometer Operating From Small UAS Platforms,
M. M. Farhad, A. M. Alam, S. Biswas, M. A. S. Rafi, A. C. Gurbuz and M. Kurum
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9389-9402, 2024
51. Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection
Alaba, Simegnew Yihunie, Ali C. Gurbuz, and John E. Ball.
World Electric Vehicle Journal 15, no. 1: 20. 2024.
50. Microwave Radiometer Calibration Using Deep Learning With Reduced Reference Information and 2-D Spectral Features
A. M. Alam, M. Kurum, M. Ogut and A. C. Gurbuz,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 748-765, 2024,
2023
49. Learning-Based Optimization of Hyperspectral Band Selection for Classification
C. O. Ayna, R. Mdrafi, Qian Du, and A. C. Gurbuz
Remote Sensing 15, no. 18: 4460 2023.
48. CV-SincNet: Learning Complex Sinc Filters from Raw Radar Data for Computationally Efficient Human Motion Recognition
S. Biswas, C. O. Ayna, S.Z. Gurbuz, A.C. Gurbuz,
IEEE Transactions on Radar Systems, vol. 1, pp. 493-504, 2023
47. A Ubiquitous GNSS-R Methodology to Estimate Surface Reflectivity Using Spinning Smartphone Onboard a Small UAS
M. M. Farhad, M. Kurum and A. C. Gurbuz
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 6568-6578, 2023.
46. Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval
M. M. Nabi, V. Senyurek, F. Lei, M. Kurum and A. C. Gurbuz
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 5629-5644, 2023.
45. Boosting multi-target recognition performance with multi-input multi-output radar-based angular subspace projection and multi-view deep neural network
E. Kurtoglu, S. Biswas, A. C. Gurbuz, and S.Z. Gurbuz
IET Radar Sonar Navigation 17(7), 1115–1128, 2023.
44. Closing the Wearable Gap: Foot–ankle kinematic modeling via deep learning models based on a smart sock wearable
S. Davarzani, et.al.
Wearable Technologies, 4, E4, 2023. doi:10.1017/wtc.2023.3
2022
43. Radio Frequency Interference Detection for SMAP Radiometer Using Convolutional Neural Networks
A. M. Alam, M. Kurum and A. C. Gurbuz
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 10099-10112, 2022.
42. Deep Learning-Based Soil Moisture Retrieval in CONUS Using CYGNSS Delay–Doppler Maps
M. M. Nabi, V. Senyurek, A. C. Gurbuz and M. Kurum
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6867-6881, 2022.
41. Fusion of Reflected GPS Signals With Multispectral Imagery to Estimate Soil Moisture at Subfield Scale From Small UAS
V. Senyurek, M. M. Farhad, A. C. Gurbuz, M. Kurum and A. Adeli
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6843-6855, 2022.
40. A Quasi-Global Machine Learning-based Soil Moisture at High Spatio-Temporal Scales using CYGNSS and SMAP Observati
F . Lei, V. Senyurek, M. Kurum, A. Gurbuz, D. R. Boyd, R. Moorhead, W.T. Crow, and O. Eroglu
Remote Sensing of Environment, Volume 276, July 2022, 113041. doi.org/10.1016/j.rse.2022.113041.
39. ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces
. E. Kurtoglu, A. C. Gurbuz, E. A. Malaia, D. Griffin, C. Crawford and S. Z. Gurbuz
IEEE Transactions on Human-Machine Systems, vol. 52, no. 4, pp. 699-712, Aug. 2022
38. Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition With RF Sensors
M. M. Rahman, E. A. Malaia, A. C. Gurbuz, D. J. Griffin, C. Crawford and S. Z. Gurbuz
IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 4, pp. 2732-2745, Aug. 2022
37. Multi-Frequency RF Sensor Fusion for Word-Level Fluent ASL Recognition
S. Z. Gurbuz, M. M. Rahman; E. Kurtoglu, A. C. Gurbuz;; E. A. Malaia; D. J. Griffin; C. Crawford
IEEE Sensors Journal, vol. 22, no. 12, pp. 11373-11381, 15 June15, 2022
36. Complexity in Sign Languages: Linguistic and Dimensional Analysis of Information Transfer in Dynamic Visual Comm
E.A. Malaia, J.D. Borneman, E. Kurtoglu, S.Z. Gurbuz, D. Griffin, C. Crawford and A. C. Gurbuz
Linguistic Vanguard, 2022, DOI: 10.1515/lingvan-2021-0005
2021
35. Assessment of Interpolation Errors of CYGNSS Soil Moisture Estimations
V. Senyurek, A. C. Gurbuz, M. Kurum
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. 14, pp. 9815 – 9825, 2021.
34. Robust estimation of the number of coherent radar signal sources using deep learning
J. Rogers, J. E. Ball, , A. C. Gurbuz;
IET Radar, Sonar & Navigation, Vol 15, No 5, pp. 431-440, 2021
33. American Sign Language Recognition Using RF Sensing
S. Z. Gurbuz, A. C. Gurbuz; E. A. Malaia; D. J. Griffin; C. Crawford; M. M. Rahman; E. Kurtoglu, R. Aksu, T. Macks, R. Mdrafi
IEEE Sensors Journal, vol. 21, no. 3, pp. 3763-3775, 1 Feb.1, 2021
32. Integration of Smartphones into Small Unmanned Aircraft Systems to Sense Water in Soil by Using Reflected GPS Signals
M. Kurum, M. M. Farhad and A. C. Gurbuz;,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 1048-1059, 2021
2020
31. Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification
R. Mdrafi, Q. Du, A. C. Gurbuz, B. Tang, L. Ma and N. H. Younan,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 6424-6433, 2020
30. Evaluations of a Machine Learning-based CYGNSS Soil Moisture Estimates against SMAP Observations
Senyurek, V.; Lei, F.; Boyd, D.; Kurum, M.; Gurbuz, Ali C.; Moorhead, R.
Remote Sensing, 2020, 12(21), 3480; https://doi.org/10.3390/rs12213480
29. SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections
D. R. Boyd, A. C. Gurbuz , M. Kurum, J. L. Garrison,B. R. Nold, J. R. Piepmeier, M. Vega, R. Bindlish
Remote Sensing, 2020, 12(21), 3480; https://doi.org/10.3390/rs12213480
28. Cramer–Rao Lower Bound for SoOp-R-Based Root-Zone Soil Moisture Remote Sensing
D. R. Boyd, A. C. Gurbuz , M. Kurum, J. L. Garrison,B. R. Nold, J. R. Piepmeier, M. Vega, R. Bindlish
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 6101-6114, 2020
27. Cognitive Radar Target Detection and Tracking with Multifunctional Reconfigurable Antennas
A. C. Gurbuz, R. Mdrafi, B. A. Cetiner
IEEE Aerospace and Electronic Systems Magazine, vol. 35, no. 6, pp. 64-76, 1 June 2020,
26. Machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS
V. Senyurek, F. Lei, D. Boyd, M. Kurum, A. C. Gurbuz, R. Moorhead
Remote Sensing, 2020, 12, 1168.
25. Joint Learning of Measurement Matrix and Signal Reconstruction via Deep Learning
R. Mdrafi, Ali C. Gurbuz
IEEE Transactions on Computational Imaging, vol. 6, pp. 818-829, 2020,
24. Off-Grid Aware Channel and Covariance Estimation in mmWave Networks
C. K. Anjinappa, Ali C. Gurbuz, Y. Yapici, I. Guvenc
IEEE Transactions on Communications, vol. 68, no. 6, pp. 3908-3921, June 2020
23. CRLB based mode selection and enhanced DOA estimation for multifunctional reconfigurable arrays
Ali C. Gurbuz, Bedri A. Cetiner
Physical Communication, Vol. 38, 100894, 2020.
2007-2019
22. An Internet-Inspired Proportional Fair EV Charging Control Method
E. Ucer, M. C. Kisacikoglu, M. Yuksel and A. C. Gurbuz
IEEE Systems Journal, vol. 13, no. 4, pp. 4292-4302, Dec. 2019.
21. High Spatio-Temporal Resolution CYGNSS Soil Moisture Estimates Using Artificial Neural Networks
O. Eroglu, M. Kurum , D. Boyd, and A. C. Gurbuz
MDPI Remote Sensing, vol. 11, no. 19, pp.1-32, 2019.
20. Autofocused Spotlight SAR Image Reconstruction of Off-Grid Sparse Scenes
S. Camlica, A. C. Gurbuz and O. Arikan
IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 4, pp. 1880-1892, Aug. 2017.
19. Compressive Sensing based Robust Off-the-Grid Stretch Processing
I. Ilhan, A. C. Gurbuz and O. Arikan
IET Radar, Sonar Navigation, vol. 11, p. 1730-1735, 2017.
18. 3D imaging for ground-penetrating radars via dictionary dimension reduction
M. Duman; A.C. Gürbüz
Tubitak Journal of Electrical Eng. and Computer Science, vol. 23, pp. 1242-1256, 2015.
17. Knowledge Exploitation for Human Micro-Doppler Classification
C. Karabacak, S.Z. Gurbuz, A.C. Gurbuz, M.B. Guldogan, G. Hendeby, F. Gustafsson
IEEE Geoscience and Remote Sensing Letters, vol.12, no.10, pp.2125-2129, Oct. 2015.
16. SAR image reconstruction by expectation maximization based matching pursuit
S. Ugur, O. Arıkan, A. C. Gürbüz
Digital Signal Processing, vol. 37, pp. 75-84, February 2015.
15. A Robust Compressive Sensing Based Technique For Reconstruction of Sparse Radar Scenes
O. Teke, A. C. Gürbüz, O. Arikan
Digital Signal Processing, vol. 27, pp. 23-32, 2014.
14. Perturbed Orthogonal Matching Pursuit
O. Teke, A. C. Gürbüz, O. Arikan
IEEE Transactions on Signal Processing, vol. 61, no. 24, pp. 6220-6231, December 2013.
13. Sparse Ground-Penetrating Radar Imaging Method for Off-the-Grid Target Problem
Ali Cafer Gurbuz; Oguzhan Teke; Orhan Arikan
J. Electron. Imaging. 22 (2), 021007 (January 31, 2013); doi: 10.1117/1.JEI.22.2.021007
12. Analysis of Energy Efficiency of Compressive Sensing in Wireless Sensor Networks
C Karakus, A. C. Gürbüz, B Tavli
IEEE Sensors Journal, vol.13, no.5, pp.1999-2008, May 2013.
11. Bearing Estimation via Spatial Sparsity Using Compressive Sensing
Ali Cafer Gürbüz, V. Cevher and J. H. McClellan
IEEE Transactions on Aerospace and Electronic Systems, Vol 48, No 2, 2012l. 48, no. 2, pp. 1358-1369, April 2012.
10. Compressive Sensing of Underground Structures using GPR
Ali Cafer Gürbüz, J. H. McClellan, and W.R. Scott
Digital Signal Processing, Volume 22, Issue 1, January 2012, Pages 66–73
9. Ground Bounce Removal for Compressed Sensing Based GPRs
Mehmet Ali Çağrı Tuncer, Ali Cafer Gürbüz
IEEE Geoscience and Remote Sensing Letters, vol. 9, No 1, pp. 23 – 27, 2012
8. Performance Analysis of Compressive-Sensing-Based Through-the-Wall Imaging with Effect of Unknown Parameters
Muhammed Duman and Ali Cafer Gurbuz
International Journal of Antennas and Propagation, vol. 2012, Article ID 405145, 11 pages, 2012. doi:10.1155/2012/405145
7. Analysis of Orthogonal Matching Pursuit Based Subsurface Imaging for Compressive Ground Penetrating Radars
Mehmet Ali Çağrı Tuncer, Ali Cafer Gürbüz
Tubitak Journal of Electrical Engineering and Computer Science, vol 20, no 6, pp. 979-989, 2012
6. Determination of Background Distribution for Ground-Penetrating Radar Data
Ali Cafer Gürbüz
IEEE Geoscience and Remote Sensing Letters, vol. 9, no, 4, pp. 544 – 548, 2012
5. Line Detection with Adaptive Random Samples
Ali Cafer Gürbüz
Turk. J. Elec. Eng. & Comp. Sci. Volume 19, pp. 21-32, 2011
4. Detection of Linear and Planar Structures in 3D Subsurface Images by Iterative Dimension Reduction
Ali Cafer Gürbüz, J. H. McClellan, and W.R. Scott
Digital Signal Processing, vol. 20, no. 2, Pages: 391-400, March 2010.
3. A Compressive Sensing Data Acquisition and Imaging Method for Stepped-Frequency GPRs
Ali Cafer Gürbüz, J. H. McClellan, and W.R. Scott
IEEE Tran. On Signal Processing, Vol. 57(7), Pages: 2640-2650 , July 2009
2. Compressive Sensing for Subsurface Imaging using Ground Penetrating Radar
Ali Cafer Gürbüz, J. H. McClellan, and W.R. Scott
Signal Processing, Vol. 89(10), Pages: 1959-1972, October 2009
[2013 EURASIP Best Paper Award for the Signal Processing Journal]
1. Multistatic Ground-Penetrating Radar Experiments
T. Counts, Ali. C. Gürbüz, K. Kim, W. R. Scott, Jr and J. H. McClellan
IEEE Trans. on Geoscience and Remote Sensing, Vol. 45(8), Page(s): 2544 – 2553, Aug. 2007.
IEEE Disclaimer
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.