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Ali Cafer Gurbuz, PhD
Associate Professor Dept. of Electrical and Computer Engineering Mississippi State University Email: gurbuz [at] ece [dot] msstate [dot] edu Phone: 662 325-1530 Office: Simrall Hall / 433A CV/Resume Google Scholar |
About Me:
Ali Cafer Gurbuz is an Associate Professor of Department of Electrical and Computer Engineering at Mississippi State University (MSU). He received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology, Atlanta, Georgia in 2005 and 2008 respectively. He held post-doctoral, research and faculty positions both in US and Turkey before joining MSU in 2018. He is currently the director of Information Processing and Sensing (IMPRESS) Lab at MSU.
Ali Cafer Gurbuz is an Associate Professor of Department of Electrical and Computer Engineering at Mississippi State University (MSU). He received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology, Atlanta, Georgia in 2005 and 2008 respectively. He held post-doctoral, research and faculty positions both in US and Turkey before joining MSU in 2018. He is currently the director of Information Processing and Sensing (IMPRESS) Lab at MSU.
Openings:
I am looking for MULTIPLE motivated Ph.D. students to join my research group. Students will be working on cutting edge research in signal processing, machine learning, radar and remote sensing areas in funded research projects.
I am looking for MULTIPLE motivated Ph.D. students to join my research group. Students will be working on cutting edge research in signal processing, machine learning, radar and remote sensing areas in funded research projects.
- Postdoctoral Research Associate in the areas of AI, Sensing, Subterranean Robotics. APPLY HERE.
- Multiple Ph.D. Research Assistantships in the areas of signal processing & machine learning. APPLY HERE.
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
