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Email
gurbuz@ece.msstate.edu

Office
Simrall 325

Phone
(662) 325-1530

Address
406 Hardy Rd
MS
Gurbuz
Ali
Gurbuz
Center for Advanced Vehicular Systems
Faculty


Email
gurbuz@ece.msstate.edu

Office
Simrall 325

Phone
(662) 325-1530

Address
406 Hardy Rd
MS
Research Interest
Signal processing & Machine Learning
Deep learning-based Inverse Problems and Signal Processing
Computational imaging, Sparse Signal Processing, Compressive Sensing
Machine Learning for Autonomous Systems, Off-Road Autonomy
UAV based Smart Sensing Systems
Machine Learning for Radar and Remote Sensing Systems
Radar and Array Signal Processing
Selected Publications Total Publications:  23 
Farhad, M. M., Senyurek, V., Rafi, M., Baray, S. B., McCraine, C., Hathcock, L. A., Adeli, A., Yanbo, H., Gurbuz, A., & Kurum, M. (2025). Integrating UAS-based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results from a Three-Year Long Field Campaign. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE. 1, 1-21. DOI:10.1109/JSTARS.2025.3580114. [Abstract] [Document Site]

Manjur, S. M., Senyurek, V., Kalski, R., Gupta, S., Skarke, A., & Gurbuz, A. (2025). Automated Detection of Seafloor Gas Seeps in Multibeam Echosounder Data With an Attention-Guided Convolutional Neural Network. ournal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE. 18, 5633-5645. DOI:10.1109/JSTARS.2025.3535234. [Abstract] [Document Site]

Baray, S. B., Farhad, M. M., Senyurek, V., Gurbuz, A., & Kurum, M. (2025). Grid Size Optimization for Soil Moisture Estimation Using UAS-Based GNSS Reflectometry. 2025 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). Boulder, CO, USA: IEEE. DOI:10.23919/USNC-URSINRSM66067.2025.10907244. [Document Site]

Farhad, M. M., Senyurek, V., Rafi, M., Adeli, A., Kurum, M., & Gurbuz, A. (2024). Preliminary Results from Three Years of UAS-Based GNSS-R Field Campaign Over Agricultural Fields For Field-Scale Soil Moisture Retrieval. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece: IEEE. 4477-4481. DOI:10.1109/IGARSS53475.2024.10641343. [Abstract] [Document Site]

Nabi, M., Senyurek, V., Kurum, M., & Gurbuz, A. (2024). Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE. 1, 1-11. DOI:10.1109/JSTARS.2024.3443100. [Document Site]