Dr. Ma received the B.S. degree in Automatic Control from Tsinghua University, Beijing, China in 1998, the M.S. degree in Electrical Engineering from the University of Virginia in 2000, and the Ph.D. degree in Electrical Engineering from the University of Minnesota in 2003.
After receiving her Ph.D., she joined the Department of Electrical and Computer Engineering at Auburn University, where she served as an assistant professor until 2005. Since spring 2006, she has been with the School of Electrical and Computer Engineering at Georgia Tech.
- Ph.D., University of Minnesota, 2003
- M.S., University of Virginia, 2000
- B.S., Tsinghua University, 1998
Professor Ma's research focuses on the intersection of machine learning, signal processing, and wireless communications. Her work includes developing algorithms for data analysis, learning-based network optimization, and smart sensing systems. She emphasizes interdisciplinary approaches that combine statistical modeling, optimization theory, and real-world data to address challenges in modern communication networks and intelligent systems.
Professor Ma's teaching interests encompass core electrical and computer engineering topics at both undergraduate and graduate levels, including signal processing, machine learning, and data analytics. She aims to provide students with a solid foundation in theoretical principles while fostering practical skills through project-based learning. Her instruction integrates emerging technologies and contemporary research to prepare students for advances in intelligent systems and data-driven engineering applications.
- Member of IEEE
- Guest editor for EURASIP Journal on Applied Signal Processing
- Five U.S. patents in the areas of space-time coding and OFDM
- Outstanding Reviewer of the Year, IEEE Control System Society, 1999
- M. S. Omar, J. Qi, and X. Ma, “Mitigating clipping distortion in multicarrier transmissions using tensor-train deep neural networks,” IEEE Transactions on Wireless Communications, vol. 22, no. 3, 2023.
- K. Zheng and X. Ma, “Designing learning-based adversarial attacks to (MIMO-)OFDM systems with adaptive modulation,” IEEE Transactions on Wireless Communications, 2023.
- D. Guidotti, X. Ma, G.-K. Chang, “Networking 3K Two-Qubit Logic Gate Quantum Processors…,” Electronics, Nov. 2024.
- J. Zhang et al., “Distributed Graph Learning…,” IEEE Transactions on Signal Processing, vol. 73, 2025.
- Y. Wang et al., “Generalized Orthogonal Chirp Division Multiplexing Communications…,” IEEE Transactions on Wireless Communications, accepted July 2025.