课题组主要研究方向
1. 机器学习:
• Communication-efficient and robust distributed learning
• Statistical machine learning with network data
• High-dimensional big data analytics
• Secure and robust deep neural networks
2. 无线通信:
• Cognitive radio and dynamic spectrum access
• Massive MIMO and millimeter wave for NextG
• Radio resource optimization and allocation
• Internet of Things, smart cities and mobile edge computing
3. 信号处理:
• Compressive sensing and sparse optimization
• Estimation and detection theory
• Probabilistic inference
• Array signal processing
田智教授简介
Dr. Zhi Tian is currently a Professor with the ECE Department of George Mason University since 2015. Prior to that, she was on the faculty of Michigan Technological University from 2000 to 2014. She served as a program director with the U.S. National Science Foundation from 2012 to 2014. Her general interests are in the areas of signal processing, communications, detection and estimation. Her current research focuses on decentralized optimization and learning over networks, statistical inference from distributed data, compressed sensing for random processes, cognitive radios, and millimeter-wave MIMO communications. She served on the Board of Governors of the IEEE Signal Processing Society from 2019 to 2021. She was Chair of the IEEE Signal Processing Society Big Data Special Interest Group, and a member of the IEEE Signal Processing for Communications and Networking Technical Committee. She was a Distinguished Lecturer of both the IEEE Communications Society and the IEEE Vehicular Technology Society. She is Editor-in-Chief for IEEE Transactions on Signal Processing, and served as Associate Editor for IEEE Transactions on Wireless Communications and IEEE Transactions on Signal Processing. She received the IEEE Communications Society TCCN Publication Award in 2018. She is a Fellow of the IEEE.