Keynote Speakers

Prof. Yudong Zhang, IEEE Senior Member

Informatics, University of Leicester, UK

Prof. Yudong Zhang is a Chair Professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. His research interests include deep learning and medical image analysis. He is the Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE and ACM. He is the Distinguished Speaker of ACM. He was the 2019, 2021 & 2022 recipient of Clarivate Highly Cited Researcher. He has (co)authored over 400 peer-reviewed articles. There are more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers in his (co)authored publications. His citation reached 22936 in Google Scholar (h-index 84). He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, Hope, British Council, and NSFC. He has served as (Co-)Chair for more than 60 international conferences (including more than 10 IEEE or ACM conferences). More than 50 news presses have reported his research outputs, such as Reuters, BBC, Telegraph, Physics World, UK Today News, etc.

Prof. Qimin Yang

Zhejiang University, China

Title: Applications of Eigenvalues and Eigenvectors in Data Mining

Abstract: Wind energy has been considered to be a promising alternative to current fossil-based energies. Large-scale wind turbines have been widely deployed to substantiate the renewable energy strategy of various countries. In this talk, challenges faced by the control community for highly reliable and efficient exploitation of wind energy are discussed. Advanced controllers are designed to (partially) overcome problems, such as uncertainty, intermittence, and intense dynamics. Theoretical results and attempts for practice are both present.

Prof. Cunhua Pan (H Index: 40)

Southeast University, China

Title: Twotimescale Transmission Design for RIS-aided Massive MIMO Systems

Abstract: Massive multiple-input multiple-output (MIMO) technology is an essential technique to provide extremely high network throughput in current and future communication systems. However, to achieve such high throughput, hundreds of antennas should be equipped at the base station (BS), which raises the issues of high cost and energy consumption. On the other hand, reconfigurable intelligent surface (RIS), also known as intelligent reflecting surface (IRS), has been proposed as a revolutionary technology to support high data rates while maintaining a low cost and energy consumption. In this talk, I will introduce the RIS-aided massive MIMO systems with Rician fading for both users-RIS and RIS-BS channels. I will present the closed-form approximate achievable rate expressions, and then provide a comprehensive analysis of the interplay between the RIS and the conventional massive MIMO systems, including the power scaling laws, the asymptotic achievable rate, and the impact of critical systems parameters. I also present an optimization method to use statistical CSI to optimize the RIS phase shifts for both the sum user rate maximization and minimum user rate maximization problems. Extensive simulations are provided to characterize the gains by integrating RIS into massive MIMO networks.

Experience: Cunhua Pan received B.S. and Ph.D. degrees from the School of Information Science and Engineering, Southeast University, Nanjing, China, in 2010 and 2015, respectively. From 2015 to 2016, he was a Research Associate at the University of Kent, U.K. He held a post-doctoral position at Queen Mary University of London, U.K., from 2016 and 2019. From 2019 to 2021, he was a Lecturer at the same university. From 2021, he is a full professor at Southeast University.

Research field: signal processing in wireless communication, including transmission design, channel estimation, and positioning, synaesthesia integration, AI-assisted communication, etc.

Assoc Prof. Chang Liu, Guangdong University of Technology

Doctor, Associate Professor, Young Hundred Program, Guangdong University of Technology. He was an assistant professor at Eastern New Mexico University in the United States. He has nearly 4 years of teaching experience overseas and has passed the U.S. Distinguished Professor or Researcher Category (EB1B) evaluation. In recent years, he has presided over one provincial and ministerial level project and participated in one National Natural Science Foundation project of the United States as a main participant. He has published 24 papers (including one ESI highly cited paper) and cited more than 350 times. He is an invited reviewer for 25 IEEE journals, including 10 IEEE journals, and was awarded the Publons Peer Review Awards in 2018 (awarded to the top 1% of reviewers in each field). He was invited to be the lecturer of "The Literature Reading Training Camp" and "Advanced Training Camp for SCI Paper Writing and Publication" in the well-known domestic academic platform Eskelan.