Syed Ali Hamza, PhD
- Assistant Professor
Affiliated Programs
Education
- PhD, Electrical Engineering (2020)
Villanova University (PA)
About Me
I aspire to provide students with a genuine and engaging college experience that allows them to experiment and explore new things. I aim to instill passion and courage in students to question the given solutions and create new designs. Most students learn best through trial and error; therefore, in teaching, I encourage students to explore topics through a hands-on challenge. The critical thinking/problem-solving skills and effective learning practices gained in class are good preparation for their future careers.
Research Interests
- High Resolution Imaging Radar for Self-Driving Car
- RF Sensing for Assisted Living and Remote Patient Monitoring
- American Sign Language (ASL) Recognition
- Statistical Signal and Array Processing
- Cognitive Radar
- Adaptive Beamforming
- Massive MIMO and Intelligent Reflecting Surfaces (IRSs) for 6G and Beyond
- Sparse Arrays • Sparse Sampling
- Target Localization and Tracking
- Convex Optimization
- Machine learning
Media Expertise
- Radar Sensing and AI for Self-Driving Cars
- Radar Based Target Localization and Tracking
- Signal Processing and AI for Assisted Living and Remote Patient Monitoring
- Coexistence of Radar and Communication Systems
- Cognitive Radios and Spectral Sensing
Publications
- S. A. Hamza and M. G. Amin, “Hybrid Sparse Array Beamforming Design for General Rank Signal Models,” in IEEE Transactions on Signal Processing, vol. 67, no. 24, pp. 6215-6226, 15 Dec.15, 2019.
- S. A. Hamza and M. Amin, “Sparse Array Design for Maximizing the Signal-to-Interferenceplus-Noise-Ratio by Matrix Completion,” in Digital Signal Processing, Volume 105, 2020, 102678, ISSN 1051-2004.
- S. A. Hamza and M. G. Amin, "Sparse Array Beamforming Design for Wideband Signal Models," in IEEE Transactions on Aerospace and Electronic Systems, vol. 57, no. 2, pp. 1211- 1226, April 2021.
News
In the Media
Noteworthy
- Engineering Professor Awarded Nearly $200,000 from National Science Foundation
Ali Hamza, assistant professor of electrical engineering, has been awarded approximately $200,000 in grant funding from the prestigious Engineering Research Initiation program from the National Science Foundation, or NSF. The grant will support Hamza's research, which aims to revolutionize cognitive sensing technologies for radar and wireless communication systems. By enhancing interference mitigation, using artificial intelligence techniques, Hamza’s pioneering work promises improved signal detection with applications spanning wireless communication, aerospace, healthcare, and automotive industries. These contributions will significantly advance the radar imaging for self-driving cars, weather and military radar, radar-based human activity monitoring, fall detection, and remote vital sign estimation. With the integration of machine learning and AI algorithms, the project seeks to optimize radio frequency spectrum utilization, alleviate congestion, and expand bandwidth, ultimately enhancing quality of service and regulatory capabilities.
The funding, which marks the first NSF grant for the electrical engineering department, will support undergraduate and graduate research.