Fauzia Ahmad

Fauzia Ahmad

  • College of Engineering

    Electrical and Computer Engineering

    Associate Professor

Office Location

Engineering 721

Phone

215-204-3380

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.

Labs

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

Level

Number

ECE 3522

Name

Stochastic Processes in Signals and Systems

Level

Undergraduate

Number

ECE 9512

Name

Detection, Estimation, and Modulation Theory

Level

Graduate

Number

Name

Level

ECE 3522

Stochastic Processes in Signals and Systems

Undergraduate

ECE 9512

Detection, Estimation, and Modulation Theory

Graduate

Selected Publications

  • Adl, Z.S. & Ahmad, F. (2023). Whitening-Aided Learning from Radar Micro-Doppler Signatures for Human Activity Recognition. Sensors (Basel), 23(17). Switzerland. doi: 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, p. 103332. doi: 10.1016/j.dsp.2021.103332

  • Chachlakis, D.G., Zhou, T., Ahmad, F., & Markopoulos, P.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), pp. 438-453. doi: 10.1109/JSTSP.2021.3061937

  • Chen, H., Vorobyov, S.A., So, H.C., 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), pp. 433-437. doi: 10.1109/JSTSP.2021.3065184

  • Schaff, C.A., Li, Y., Ouyang, B., Ouden, C.D., Zhou, T., & Ahmad, F. (2021). Development of a low-cost subsea datalogger for passive phased sonar arrays. Proceedings of SPIE - the International Society for Optical Engineering, 11730. doi: 10.1117/12.2587935

  • Pambudi, A.D., 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

  • Pambudi, A.D., Ahmad, F., & Zoubir, A.M. (2021). A robust copula model for radar-based landmine detection. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2021-June, pp. 4580-4584. doi: 10.1109/ICASSP39728.2021.9413694

  • Gurbuz, A.C. & Ahmad, F. (2021). Basic principles of machine learning. In Deep Neural Network Design for Radar Applications (pp. 43-67). doi: 10.1049/SBRA529E_ch2

  • Comite, D., Ahmad, F., Amin, M.G., & 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

  • Li, Y., Schaff, A., Bavar, S., Ouyang, B., Su, T.C., Zhou, T., & Ahmad, F. (2020). Design and Implementation of Underwater Inflatable Co-prime Sonar Array (UICSA). 2020 Global Oceans 2020: Singapore - U.S. Gulf Coast. doi: 10.1109/IEEECONF38699.2020.9389089

  • Pambudi, A.D., Ahmad, F., & Zoubir, A.M. (2020). Copula-Based Robust Landmine Detection in Muti-View Forward-Looking GPR Imagery. IEEE National Radar Conference - Proceedings, 2020-September. doi: 10.1109/RadarConf2043947.2020.9266450

  • Pambudi, A.D., Golz, M., Ahmad, F., & Zoubir, A.M. (2020). A Spatial Inference Approach for Landmine Detection Using Forward-Looking GPR. IEEE National Radar Conference - Proceedings, 2020-September. doi: 10.1109/RadarConf2043947.2020.9266441

  • Pambudi, A.D., Faub, M., Ahmad, F., & Zoubir, A.M. (2020). Minimax robust landmine detection using forward-looking ground-penetrating radar. IEEE Transactions on Geoscience and Remote Sensing, 58(7), pp. 5032-5041. doi: 10.1109/TGRS.2020.2971956

  • Campbell, C. & Ahmad, F. (2020). Attention-augmented convolutional autoencoder for radar-based human activity recognition. 2020 IEEE International Radar Conference, RADAR 2020, pp. 990-995. doi: 10.1109/RADAR42522.2020.9114787

  • 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.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).

  • Li, Y., Thomas, J., Ouyang, B., Su, T.C., & Ahmad, F. (2020). Numerical study of underwater inflatable co-prime sonar array (UICSA). Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, 4. doi: 10.1115/OMAE2020-18393