Chun-Hung Liu, Ph.D.
Dept. of Electrical and Computer Engineering
Mississippi State University
Mississippi State, MS 39762, USA
e-mail: chliu at ece dot msstate dot edu
Phone (O): (662) 325-2063
Machine Learning and Its Applications in Wireless Systems
Edge Computing, Intelligence, and Distributed Learning Systems
Signal Processing and Image Processing
07/2022: Received a research grant from NSF to work on high-dimensional data analysis and learning from noisy limited data.
07/2022: There will be a couple of PhD research openings in my group starting from Spring/Fall 2023. Interested students who have good background in machine learning, networking, and statistics feel free to send your resume to me. I will reply you if you are a good fit for the openings.
07/2022: Received a research grant from AFRL to work on spectrum sensing and learning problems in UAV-enabled networks with intelligent reconfigurable surfaces.
03/2022: Our paper entitled "Modeling and Analysis of Intermittent Federated Learning Over Cellular-Connected UAV Networks" was accepted by IEEE VTC Spring 2022.
Topic I: Distributed Learning over Ultra-Dense Wireless Networks with Repulsion
Topic II: Machine Learning for 6G Wireless Systems
Topic III: Federated Sensing, Learning, and Security for Large-Scale Wireless CPSs
Topic IV: High-Dimensional Data Analysis and Large-Scale Learning
The detailed information of the above topics can be found here.
Recent Book Chapter
Deep Learning and Federated Learning Toward 6G Mobile Communications in the new book entitled "Flexible and Cognitive Radio Access Technologies for 5G and Beyond", the Institution of Engineering and Technology, Oct. 2020. (ISBN-10: 1839530790)
Learning over Large-Scale Networks and Data Analysis