Keynote speakers

Biography

Sean Kennedy leads the Artificial Intelligence Research Lab inside of Nokia Bell Labs. Its broad mandate includes next-generation algorithmic and machine learning solutions as well as emerging technologies such as human sensing devices and quantum computing. Sean leads his multinational team to solve critically hard and important industry problems that create customer value and business impact. Sean is personally interested in applying his expertise in mathematics and computing technologies to envision and broadly explain the evolution and future effects of artificial intelligence. His current research focuses on moving beyond existing machine learning systems towards systems that mimic the human capacity for analytical thinking. Sean is also leading Nokia’s efforts around responsible AI and its AI Centre of Excellence. Sean holds a joint PhD in mathematics and computer science from McGill University in Montreal, Canada.

Biography

Zhi-Quan (Tom) Luo is the Vice President (Academic) of The Chinese University of Hong Kong, Shenzhen, where he has been a professor since 2014. He is concurrently the Director of Shenzhen Research Institute of Big Data. Professor Luo received his Ph.D. in Operations Research from MIT in 1989 and his B.S. degree in Mathematics in 1984 from Peking University, China. His research interests lie in the area of optimization, big data, signal processing and digital communication, ranging from theory, algorithms to design and implementation. Professor Luo is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Society for Industrial and Applied Mathematics (SIAM). He received the 2010 Farkas Prize from the INFORMS Optimization Society, and the 2018 Paul Y. Tseng Memorial Lectureship from the Mathematical Optimization Society. He also received three Best Paper Awards in 2004, 2009 and 2011, a Best Magazine Paper Award in 2015, all from the IEEE Signal Processing Society, and a 2011 Best Paper Award from the EURASIP. In 2014, he was elected to the Royal Society of Canada. Professor Luo was elected to the Chinese Academy of Engineering in 2021, and was awarded the Wang Xuan Applied Mathematics Prize in 2022 by the China Society of Industrial and Applied Mathematics.

Biography

Xingqin Lin is the 3GPP Lead at NVIDIA, spearheading 3GPP and ATIS standardization and conducting research at the intersection of 5G/6G and AI. Before joining NVIDIA, he was with Ericsson, leading 5G/6G research and standardization in focus areas. He was an Ericsson NextGen Advisory Board member, collaborating with Ericsson Executive Team on strategic projects. He has garnered several awards, including the IEEE Communications Society Fred W. Ellersick Prize (2021), IEEE Vehicular Technology Society Early Career Award (2021), IEEE WCNC Best Paper Award (2020), and IEEE Communications Society Best Young Professional Award in Industry (2020). He was included in the list of AI 2000 Most Influential Scholars in the field of Internet of Things (2021 & 2022) and the list of the World’s Top 2% Scientists (2020 & 2021). He serves/served as an editor of the IEEE Communications Letters (2015-2018), IEEE Communications Magazine (2022-now), IEEE Network (2021-now), IEEE Internet of Things Magazine (2021-now), and the lead guest editor for the IEEE Network special issue on "The Interplay Between Generative AI and 5G-Advanced toward 6G" and IEEE Communications Magazine feature topic on “Digital Twins Meet Artificial Intelligence in 6G". 

Biography

John Strassner is the CTO and VP, Standards and Industry Development at Futurewei Technologies, Inc. Previously he was a Professor in the Division of IT Convergence Engineering in Pohang University of Science and Technology, Korea. Before that, he was a Motorola Fellow and Vice President of Autonomic Research at Motorola Labs, where he was responsible for directing Motorola's efforts in autonomic computing and networking, policy management, and knowledge engineering. Previously, he was the Chief Strategy Officer for Intelliden and a former Cisco Fellow. He is co-chairing the ATIS AI Network Applications, he was the Chairman of the Autonomic Communications Forum, and the past Chair of the TMF's NGOSS SID, meta-model and policy working groups, along with the past chair of several IETF and WWRF groups. He has authored two books (Directory Enabled Networks and Policy Based Network Management) and has been coeditor of several journals dedicated to network and service management and autonomics. He is the recipient of the IEEE Daniel A. Stokesbury memorial award for excellence in network management, the Albert Einstein award for innovation in high technology, is a Member of the Industry Advisory Board for both University of California Davis and DePaul University, a TMF Fellow, and has authored over 235 refereed journal papers and publications.