Dr. Chang Liu received the Ph.D. degree from Dalian University of Technology, China, in 2017. In 2015, he was a Visiting Ph.D. Student with the University of Tennessee, Knoxville, TN, USA. He is currently a Research Assistant Professor with The Hong Kong Polytechnic University. Prior to that, he was a Post-Doctoral Research Fellow with the University of New South Wales, Sydney, Australia. He is a recipient of the Alexander von Humboldt Research Fellowship 2022. He is also a foundation member of IEEE ComSoc special interest group and a Lead Guest Editor of Future Internet.
To date, he has published more than 50 journal and conference papers, including 1 Essential Science Indicators highly cited paper, 1 hot paper, 2 papers listed in the IEEE ComSoc Best Readings, and 8 IEEE popular articles. He was a recipient of the Best Paper Award at the IEEE International Symposium on Wireless Communication Systems in 2022 and an Exemplary Reviewer from IEEE Transactions on Communications.
To date, he has published more than 50 journal and conference papers, including 1 Essential Science Indicators highly cited paper, 1 hot paper, 2 papers listed in the IEEE ComSoc Best Readings, and 8 IEEE popular articles. He was a recipient of the Best Paper Award at the IEEE International Symposium on Wireless Communication Systems in 2022 and an Exemplary Reviewer from IEEE Transactions on Communications.
Research interests:
Machine Learning-based Internet-of-Things (IoT) Communications, Integrated Sensing and Communication (ISAC), Orthogonal Time Frequency Space (OTFS), Statistical Signal Processing, Intelligent Reflecting Surface (IRS)-assisted Communications, Unmanned Aerial Vehicle (UAV) Communications, Spectrum Sensing and Sharing in Cognitive Radio.
Machine Learning-based Internet-of-Things (IoT) Communications, Integrated Sensing and Communication (ISAC), Orthogonal Time Frequency Space (OTFS), Statistical Signal Processing, Intelligent Reflecting Surface (IRS)-assisted Communications, Unmanned Aerial Vehicle (UAV) Communications, Spectrum Sensing and Sharing in Cognitive Radio.