Ali Cafer Gurbuz
Assistant Professor
Electrical and Computer Engineering
Mississippi State University

Ph.D., Electrical and Computer Engineering
Georgia Institute of Technology, 2008


Phone: 662-325-1530

Research Interests
Compressive 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

Current Research Projects
Role: Principal Investigator (PI), "CAREER: Learning to Sense: Joint Learning of Task Oriented Cognitive Sensing with Data Driven Reconstruction and Inference", National Science Foundation (NSF), $500,000.00, Duration: March 15, 2021– March 2026 – share 100%

Role: Co-Principal Investigator (co-PI), "Collaborative Research: SWIFT: LARGE: AI-Enabled Spectrum Coexistence between Active Communications and Passive Radio Services: Fundamentals, Testbed and Data", National Science Foundation (NSF), $500,000.00, Duration: Oct. 01, 2020–Sep. 30, 2023 – share 30%

Role: Principal Investigator (PI), "CPS: Small: Collaborative Research: RF Sensing for Sign Language Driven Smart Environments", National Science Foundation (NSF), $133,002.00, Duration: Oct. 01, 2019–Sep. 30, 2021 – share 100%

Role: Principal Investigator (PI), "Ground Vehicle Mobility Research: Multi-Sensor Analytics and Sensor Fusion for Cross-Country Mobility Assessment", Engineering Research Development Center (ERDC) (DOD), Award W912HZ19C0036, $298,128, with Mehmet Kurum (MSU), John Ball
(MSU), George Mason(MSU), Duration: Sep. 16, 2019–Sep. 15, 2021. – share 40%

Role: Investigator (I), "Advancement of UAS/UAV Application Systems", USDA Agricultural Research Service(USDA-ARS), Award NACA 58-6064-9-007, $863,092, with Robert Moorhead (PI, MSU), Mehmet Kurum (MSU), Bo Tang (MSU), Joby Czarnecki (MSU), Sathishkumar Samiappan(MSU), Duration: Sep. 01, 2018–Sep. 30, 2022.

Most Current Publications:
Rogers, J., Ball, J. E., Gurbuz, A. C. . Robust estimation of the number of coherent radar signal sources using deep learning. IET Radar, Sonar & Navigation, 2021

S. Z. Gurbuz, Ali C. Gurbuz; Evie A. Malaia; Darrin J. Griffin; Chris Crawford; M. Mahbubur Rahman; E. Kurtoglu, R. Aksu, T. Macks, R. Mdrafi, " American Sign Language Recognition Using RF Sensing," in IEEE Sensors Journal, vol. 21, no. 3, pp. 3763-3775, 1 Feb.1, 2021

M. Kurum, M. M. Farhad and A. C. Gurbuz, "Integration of Smartphones into Small Unmanned Aircraft Systems to Sense Water in Soil by Using Reflected GPS Signals," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 1048-1059, 2021

R. Mdrafi, Q. Du, A. C. Gurbuz, B. Tang, L. Ma and N. H. Younan, "Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 6424-6433, 2020, doi: 10.1109/JSTARS.2020.3035382.

Senyurek, V.; Lei, F.; Boyd, D.; Gurbuz, A.C.; Kurum, M.; Moorhead, R., "Evaluations of a Machine Learning-based CYGNSS Soil Moisture Estimates against SMAP Observations" Remote Sens. 2020,

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