Steering Committee

Chair

University of Essex, United Kingdom

Kun Yang received his PhD from the Department of Electronic & Electrical Engineering of University College London (UCL), UK. He is currently a Chair Professor of the University of Essex, UK, leading the Network Convergence Laboratory (NCL). His main research interests include wireless networks and communications, communication-computing cooperation, and AI (artificial intelligence) for wireless. He has published 500+ papers and filed 50 patents. He serves on the editorial boards of a few IEEE journals. He served as a Judge of GSMA GLOMO Award at World Mobile Congress – Barcelona. He was a Distinguished Lecturer of IEEE ComSoc, a Recipient of the 2024 IET Achievement Medals and the Recipient of 2024 IEEE CommSoft TC’s Technical Achievement Award. He served as the Chair of IEEE ComSoc Smart Grid Communications (SGC) Technical Committee (2024-2025). He is a Member of Academia Europaea (MAE), a Fellow of IEEE, a Fellow of IET and a Distinguished Member of ACM.

Chair

 Dean and Professor, Artificial Intelligence Research Institute
Shenzhen MSU-BIT University, Shenzhen, Guangdong, China 

Distinguished Professor of Computer Science and Software Engineering
Shenzhen University, Shenzhen, Guangdong, China 

Emeritus Professor of Electrical and Computer Engineering
The University of British Columbia, Vancouver, BC, Canada 

My research interests are in the area of telecommunications and computer communications networking. The scope of the research includes design, evaluation, and analysis of network architectures, protocols, and network management, control, and internetworking strategies for reliable, efficient, and cost effective communications. The convergence of wireless and broadband communications has led to the integration of heterogeneous wireless and wireline networking technologies, often into the same device, to enable ubiquitous multimedia communications among people and machines regardless of locations and mobility. The thrust of the research is to contribute to the development of this emerging global network, with current focuses on energy efficient service provisioning over 5G wireless mobile broadband networks and beyond. The issues addressed include mainly: scheduling and resource management in networks to provide quality of service guarantees, design of network architectures and protocols for high performance and energy-efficient broadband communications, development of protocols and mechanisms for security and privacy in wireless networks, and development of protocols and algorithms for application-specific wireless networking. Most projects involve novel designs and performance evaluation by modeling and analysis using analytical, numerical, and simulation methods. While optimization techniques are widely used in the research, increasing model-free machine-learning based approaches are contemplated to facilitate practical implementations.

Learn more here:
https://people.ece.ubc.ca/~vleung/

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