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 network
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 a Professor in the Electrical and Computer Engineering Department of George Mason University, Fairfax, VA, since 2015. Prior to that, she was on the faculty of Michigan Technological University from 2000 to 2014. She served as a Program Director at the US National Science Foundation from 2012 to 2014. Her research interest lies in the areas of statistical signal processing, wireless communications, and estimation and detection theory. Current research focuses on compressed sensing for random processes, statistical inference of network data, distributed network optimization and learning, and millimeter-wave communications. She was an IEEE Distinguished Lecturer for both the IEEE Communications Society and the IEEE Vehicular Technology Society. She served as Associate Editor for IEEE Transactions on Wireless Communications and IEEE Transactions on Signal Processing. She was General Co-Chair of the 2016 IEEE GlobalSIP Conference, and serves as Chair of the IEEE Signal Processing Society Big Data Special Interest Group. She was a Member-of-Large of the IEEE Signal Processing Society for the term of 2019-2021. She received a CAREER Award from the National Science Foundation (NSF) in 2003. She is an IEEE Fellow.