William Mong Distinguished Lecture by Professor Ness B. Shroff
Feb 28, 2024
Date: March 14, 2024 (Thursday)
Time: 2 pm
Venue: Tam Wing Fan Innovation Wing Two, G/F Run Run Shaw Building, HKU
Speaker: Professor Ness B. Shroff, The Ohio State University
Abstract:
The AI EDGE Institute aims to integrate networking and AI to design self-healing, adaptive, and self-optimised edge networks. The Institute plans to develop the key technologies for distributed and networked intelligence to enable future transformative applications such as intelligent transportation, remote healthcare, distributed robotics, and smart aerospace. Additionally, the Institute recognises the importance of education and intends to create efficient and modular ways of delivering educational content to build a large, diverse workforce in AI and networks. The talk will provide an overview of the Institute and research directions, including a case study on caching and how Machine Learning can improve performance.
About the speaker:
Ness B. Shroff received his Ph.D. from Columbia University and is currently the Ohio Eminent Scholar Chaired Professor of Networking and Communications at The Ohio State University. He is the Principal Investigator and Institute Director of the NSF AI Institute on Future Edge Networks and Distributed Intelligence.
Professor Shroff's research focuses on machine learning, network optimisation, stochastic control, and algorithmic design. He has served as Editor in Chief of IEEE/ACM Trans. on Networking and as Steering Committee Chair of ACM Mobihoc. His papers have received numerous awards at top-tier conferences, including best paper awards at IEEE INFOCOM and runner-up awards at IEEE INFOCOM. Professor Shroff is a Fellow of the IEEE and has been recognised as a highly cited researcher. He received the IEEE INFOCOM achievement award for his contributions to wireless networks scheduling and resource allocation.
All members of the HKU community and the general public are welcome to join. Seats for on-site participants are limited. Interested parties please register through the link below by March 14, 2024 9 am: https://shorturl.at/giFI9.
A confirmation email will be sent to participants who have successfully registered.
We look forward to seeing you in the lecture. Thank you.