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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:  25 
Manjur, S. M., Senyurek, V., Skarke, A., & Gurbuz, A. (2025). Deep Learning Based Sequential Processing of Multibeam Echosounder Images for Automated Detection of Seafloor Gas Seep Occurrence. Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE. 18, 25549-25561. DOI:10.1109/JSTARS.2025.3612936. [Document Site]

Hodges, E., Chew, C., Small, E. E., Bai, D., Al-khaldi, M., Ouellette, J., Johnson, J., Kurum, M., Gurbuz, A., Senyurek, V., & Nabi, M. (2025). A Merged CYGNSS Soil Moisture Product Using a Minimum Variance Estimator. IEEE Transactions on Geoscience and Remote Sensing. IEEE. 1, 1-1. DOI:10.1109/TGRS.2025.3597532. [Abstract] [Document Site]

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]