Invited Speaker 1

Smart Computing and Networking: Challenges and Opportunities

Hong Shen
Professor
Faculty of Applied Sciences
Macao Polytechnic University, Macao Special Administrative Region, China
The University of Adelaide, Australia



Abstract:
Driven by the increasing demands of large-scale cross-domain data processing and sharing from various applications of our modern society, smart computing and networking is evolving to be a critically important development direction of the current information and communication technologies. In this talk, I will first overview the recent advances of computing and communication technologies, and as well as their emerging convergence spotlighted by data center networks, space Internet, satellite Internet and computing power networks. Then, focusing on the major challenges in efficiency, resilience and security for data center networks, I will show our recent work in these dimensions. Particularly, as an illustration of bridging high-performance computing and AI, I will present our work on machine-learning enhanced smart scheduling of computation tasks in data center networks by combining greedy optimization with deep reinforcement learning. Our method takes advantage of the merits of both models to improve the overall performance while ensuring the worst-case performance guarantee. It exemplifies a promising approach of combining machine learning and traditional optimization techniques to empower the resulting method for solving hard application problems. Finally, I will conclude the talk by displaying our on-going work in smart computing and networking.

Biography:
Hong Shen is a Professor in Macao Polytechnic University and specially-appointed Professor in Sun Yat-sen University, China. He is also an Adjunct Professor in University of Adelaide, Australia, where he was a tenured Professor (Chair of Computer Science) for 15 years. He received the BS degree from Beijing University of Science and Technology, MS degree from University of Science and Technology of China, and PhD degree from Abo Akademi University, Finland. With main research interests in parallel and distributed computing, privacy preserving computing, network optimization and data mining, he has led numerous research centers and projects in different countries. He has published 400+ papers including over 100 papers in major international journals such as a variety of IEEE and ACM transactions. Prof. Shen received many honors and awards, and served on different roles in professional societies, journal editorial boards and conference committees.

Invited Speaker 2

Cyber-Physical-Social Intelligence

Laurence T. Yang
Professor
FCAE, FEIC, MAE, FIEEE, FIET
Hainan University, China


Abstract:
The booming growth and rapid development in embedded systems, wireless communications, sensing techniques and emerging support for cloud computing and social networks have enabled researchers and practitioners to create a wide variety of Cyber-Physical-Social Systems (CPSS) that reason intelligently, act autonomously, and respond to the users' needs in a context and situation-aware manner, namely Cyber-Physical-Social Intelligence. It is the integration of computation, communication and control with the physical world, human knowledge and sociocultural elements. It is a novel emerging computing paradigm and has attracted wide concerns from both industry and academia in recent years.
This talk will present our latest research on Cyber-Physical-Social Intelligence. Corresponding case studies in some typically applications will be shown to demonstrate the feasibility and flexibility.

Biography:
Laurence T. Yang got his BE in Computer Science and Technology and BSc in Applied Physics both from Tsinghua University, China and Ph.D in Computer Science from University of Victoria, Canada. He is the Academic Vice-President and Dean of School of Computer Science and Technology, Hainan University, China. His research includes Cyber-Physical-Social Intelligence. He has published 300+ papers in the above area on top IEEE/ACM Transactions with total citations of 36553 and H-index of 96 including 8 and 40 papers as top 0.1% and top 1% highly-cited ESI papers, respectively.
His recent honors and awards include the member of Academia Europaea, the Academy of Europe (2021), the John B. Stirling Medal (2021) from Engineering Institute of Canada, IEEE Sensor Council Technical Achievement Award (2020), IEEE Canada C. C. Gotlieb Computer Medal (2020), Clarivate Analytics (Web of Science Group) Highly Cited Researcher (2019, 2020, 2022), Fellow of Institution of Engineering and Technology (2020), Fellow of Institute of Electrical and Electronics Engineers (2020), Fellow of Engineering Institute of Canada (2019), Fellow of Canadian Academy of Engineering (2017).