Shaodan Ma received her Ph.D. degree in electrical and electronic engineering from The University of Hong Kong, Hong Kong, in 2006. From 2006 to 2011, she was a post-doctoral fellow at The University of Hong Kong. Since August 2011, she has been with the University of Macau, where she is currently a Professor. Her recent research interests include array signal processing, transceiver design, localization, integrated sensing and communication, mmwave communications, massive MIMO, and machine learning for communications. She was a symposium co-chair for various IEEE flagship conferences including IEEE ICC 2021, 2019 & 2016, IEEE GLOBECOM 2016, IEEE/CIC ICCC 2019, etc. She has served as an Editor for IEEE Transactions on Wireless Communications (2018-2023), IEEE Transactions on Communications (2018-2023), IEEE Wireless Communications Letters (2017-2022), IEEE Communications Letters (2023-present), and Journal of Communications and Information Networks (2021-present).
Lecture Topics
- Reconfigurable Distributed Antennas and Reflecting Surface (RDARS): A New Architecture for Wireless Communications
- Deep Learning for Wireless Communication: Channel Estimation and CSI Feedback
- Integrated Sensing and Communications for mmWave/THz Massive MIMO
- Transceiver Optimization for RIS-aided MIMO Systems
- Wireless Localization in IoT networks