Prof. Jiangchuan Liu

(CAE Fellow, IEEE Fellow, and an NSERC E.W.R. Steacie Memorial Fellow)

(加拿大工程院院士; IEEE 会士; E.W.R.Steacie纪念奖获得者)

Simon Fraser University, Canada

加拿大西蒙弗雷泽大学

Biography: Jiangchuan Liu is a Full Professor in the School of Computing Science, Simon Fraser University, British Columbia, Canada. He is a Fellow of The Canadian Academy of Engineering, an IEEE Fellow, and an NSERC E.W.R. Steacie Memorial Fellow. In the past he worked as an Assistant Professor at The Chinese University of Hong Kong, a research fellow at Microsoft Research Asia, and an EMC-Endowed Visiting Chair Professor of Tsinghua University. He received the BEng degree (cum laude) from Tsinghua University, Beijing, China, in 1999, and the PhD degree from The Hong Kong University of Science and Technology in 2003, both in computer science. His research interests include multimedia systems and networks, cloud and edge computing, social networking, online gaming, and Internet of things/RFID/backscatter. He has served on the editorial boards of IEEE/ACM Transactions on Networking, IEEE Transactions on Network Sciences and Engineering, IEEE Transactions on Big Data, IEEE Transactions on Multimedia, IEEE Communications Surveys and Tutorials, and IEEE Internet of Things Journal. He is a Steering Committee member of IEEE Transactions on Mobile Computing and Steering Committee Chair of IEEE/ACM IWQoS (2015-2017). He was TPC Co-Chair of IEEE INFOCOM'2021 and General Co-Chair of IEEE INFOCOM’2024.

 

 

Prof. Xiaowen Chu

(IEEE Fellow, Head of the Data Science and Analytics Thrust)

(IEEE 会士, 数据科学与分析学域主任)

The Hong Kong University of Science and Technology (Guangzhou)

香港科技大学（广州）

Biography: Professor Xiaowen Chu is a Full Professor and Head of the Data Science and Analytics Thrust at The Hong Kong University of Science and Technology (Guangzhou). He received his Bachelor’s degree from Tsinghua University and his Ph.D. from The Hong Kong University of Science and Technology. His research focuses on high-performance computing, machine learning systems, and distributed systems. He has received seven Best Paper Awards at international conferences, including the CCF-A ranked conferences EuroSys 2025 and INFOCOM 2021. Professor Chu has been recognized multiple times in the Stanford University World’s Top 2% Scientists List. He serves (or has served) as an Associate Editor or Guest Editor for SCI-indexed journals such as IEEE Transactions on Cloud Computing, IEEE Transactions on Network Science and Engineering, IEEE Internet of Things Journal, IEEE Transactions on Big Data, IEEE Network, and IEEE Transactions on Industrial Informatics. He was the TPC Co-Chair or General Co-Chair of IEEE MetaCom 2025, IEEE/ACM IWQoS 2024, BigCom 2023, IEEE GreenCom 2022, IEEE HPCC 2021, IEEE DSS 2020, EAI QShine 2019, etc. For his contributions to algorithms for communication-efficient distributed machine learning, he was elected as an IEEE Fellow Class of 2025.

 

 

Invited Speakers/邀请报告

 

Assoc. Prof. Azhar Imran

(软件工程学院副教授)

Beijing University of Technology, China

北京工业大学

Biography: Dr. Azhar Imran is currently an Associate Professor at the School of Software Engineering, Beijing University of Technology, China. Prior to this, he served as an Assistant Professor at the Department of Creative Technologies, Faculty of Computing & Artificial Intelligence, Air University, Islamabad, Pakistan. He holds a Ph.D. in Software Engineering from Beijing University of Technology and a Master's in Computer Science from the University of Sargodha, Pakistan. Dr. Azhar has over 13 years of national and international academic experience, including a tenure as Senior Lecturer at the University of Sargodha.
A renowned expert in Image Processing, Healthcare Informatics, and Social Media Analysis, Dr. Azhar has authored 85 research articles published in prestigious international journals and conferences. He is a Senior Member of IEEE and serves as an editorial board member and reviewer for several high-impact journals, including IEEE Access, MDPI Cancers, Applied Sciences, Mathematics, and Springer Visual Computer, among others. Dr. Azhar has delivered guest lectures and conducted seminars at various national and international forums, contributing significantly to multiple international conferences in various roles, including keynote speaker and technical committee member. His research interests span Image Processing, Social Media Analysis, Medical Image Diagnosis, Machine Learning, and Data Mining, with a focus on interdisciplinary research bridging computer science and human-related fields.