Directory Listing
Ali
Gurbuz
Center for Advanced Vehicular Systems
Faculty
Gurbuz
Center for Advanced Vehicular Systems
Faculty
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
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: 22
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]
Rafi, M., Senyurek, V., & Gurbuz, A. (2024). Performance Assessment of Crop Line Detection in Corn Field from Unmanned Aerial Vehicle Video. SPIE 13053, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IX. National Harbor, Maryland, United States: SPIE. 13053, 89-98. DOI:doi.org/10.1117/12.3013501. [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]
Rafi, M., Senyurek, V., & Gurbuz, A. (2024). Performance Assessment of Crop Line Detection in Corn Field from Unmanned Aerial Vehicle Video. SPIE 13053, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IX. National Harbor, Maryland, United States: SPIE. 13053, 89-98. DOI:doi.org/10.1117/12.3013501. [Abstract] [Document Site]