Biography
Dr. Fauzia Ahmad received her Ph.D. degree in Electrical Engineering in 1997 from the University of Pennsylvania. Prior to joining Temple University in 2016, she was a Research Professor and the Director of the Radar Imaging Lab with the Center for Advanced Communications, College of Engineering, Villanova University. Dr. Ahmad is a Fellow of the IEEE and a Fellow of the SPIE. She has been a Principal Investigator and a Co-Principal Investigator on various projects with the total research awards exceeding $7M. These projects have been funded by various US Federal agencies. Dr. Ahmad is an associate editor of the IEEE Transactions on Computational Imaging.. She is a member of the Computational Imaging Technical Committee of the IEEE Signal Processing Society, and a member of the Franklin Institute Committee on Science and the Arts. She was the chair of the IEEE Dennis J. Picard Medal for Radar Technologies and Applications Committee from 2018-2020. She served as an Associate Editor for the IEEE Transactions on Signal Processing from 2014-2018, IEEE Transactions on Aerospace and Electronic Systems from 2017-2019, IEEE Geoscience and Remote Sensing Letters from 2015-2019, and SPIE/IS&T Journal of Electronic Imaging from 2013-2017. She chaired the SPIE Compressive Sensing Conference Series from 2012 to 2018 and SPIE Big Data Conference Series from 2019-2022.
Research Interests
- Statistical Signal and Array Processing, Computational Imaging
- Signal Processing for Assisted Living and Remote Patient Monitoring
- Ultrasonic Guided Wave Structural Health Monitoring
- Passive, Ground-Penetrating, and Through-the-Wall Radar Applications
- Compressive Sensing and Sparse Reconstruction
- Coexistence of Radar and Communication Systems
- Distributed Radar Networks
- Multi-modal Sensing.
Courses Taught
Number | Name | Level |
|---|---|---|
ECE 3522 | Stochastic Processes in Signals and Systems | Undergraduate |
ECE 9512 | Detection, Estimation, and Modulation Theory | Graduate |
Selected Publications
Recent
Adl, Z.S. & Ahmad, F. (2023). Whitening-Aided Learning from Radar Micro-Doppler Signatures for Human Activity Recognition. Sensors (Basel), 23(17). Switzerland. 10.3390/s23177486
Mills, K.R., Ahmad, F., & Aboutanios, E. (2022). Coarray-domain iterative direction-of-arrival estimation with coprime arrays. Digital Signal Processing, 122, 103332. doi: 10.1016/j.dsp.2021.103332.
Chachlakis, D., Zhou, T., Ahmad, F., & Markopoulos, P. (2021). Minimum Mean-Squared-Error autocorrelation processing in coprime arrays. Digital Signal Processing: a Review Journal, 114. doi: 10.1016/j.dsp.2021.103034.
Chen, H., Ahmad, F., Vorobyov, S., & Porikli, F. (2021). Tensor decompositions in wireless communications and mimo radar. IEEE Journal on Selected Topics in Signal Processing, 15(3), 438-453. doi: 10.1109/JSTSP.2021.3061937.
Chen, H., Vorobyov, S., So, H., Ahmad, F., & Porikli, F. (2021). Introduction to the special issue on tensor decomposition for signal processing and machine learning. IEEE Journal on Selected Topics in Signal Processing, 15(3), 433-437. doi: 10.1109/JSTSP.2021.3065184.
Comite, D., Ahmad, F., Amin, M., & Dogaru, T. (2021). Forward-Looking Ground-Penetrating Radar: Subsurface Target Imaging and Detection: A Review. IEEE Geoscience and Remote Sensing Magazine. doi: 10.1109/MGRS.2020.3048368.
Pambudi, A., Ahmad, F., & Zoubir, A. (2021). Robust Copula-Based Detection of Shallow-Buried Landmines With Forward-Looking Radar. IEEE Transactions on Aerospace and Electronic Systems. doi: 10.1109/TAES.2021.3111851.
Gurbuz, A. & Ahmad, F. (2021). Basic principles of machine learning. In Deep Neural Network Design for Radar Applications (pp. 43-67). doi: 10.1049/SBRA529E_ch2.
Pambudi, A., Faub, M., Ahmad, F., & Zoubir, A. (2020). Minimax robust landmine detection using forward-looking ground-penetrating radar. IEEE Transactions on Geoscience and Remote Sensing, 58(7), 5032-5041. doi: 10.1109/TGRS.2020.2971956.
Comite, D., Ahmad, F., Dogaru, T., & Amin, M. (2020). Coherence-factor-based rough surface clutter suppression for forward-looking GPR imaging. Remote Sensing, 12(5). doi: 10.3390/rs12050857.
Ahmad, F. & Markopoulos, P. (2020). L1-norm principal component and discriminant analyses of micro-doppler signatures for indoor human activity recognition. In Micro-Doppler Radar and its Applications (pp. 351-366).