Prof. Guoliang Xing (CUHK) visits NET group and delivers a distinguished speech on Edge AI

Title: Edge AI for Next-Generation Autonomous Driving and Smart Health Systems

Date: 27.06.2023, 10:00-12:00

(Onsite presenation cancelled: Location: Room SR2.101, Institute of Computer Science, Goldschmidtstr. 7, 37077 Göttingen, join the Zoom meeting instead:)
https://uni-goettingen.zoom.us/j/62039923967?pwd=MHN6Z2V4d3U0aW1HZzNyakI...
Meeting ID: 620 3992 3967
Password: 458207

Abstract: Edge AI represents an increasingly important computing paradigm where AI algorithms are deployed on the network edge devices. Edge AI can enable a broad class of applications which interact with the physical world in an intelligent, real-time, and privacy-preserving manner. In this talk, I will briefly discuss our recent work on Edge AI for autonomous driving and smart health systems.

Autonomous driving will revolutionize the future transportation systems. However, recent pilot commercial deployments have caused widespread concerns about the safety of emerging autonomous driving systems. I will discuss our recent work on leveraging intelligent roadside infrastructure to improve the safety of autonomous driving. First, we have deployed the world’s largest open smart lamppost testbed on CUHK campus which offers various real-time services such as target detection and dynamic route planning for vehicles. Second, we propose a novel real-time deep learning task framework, which integrate model architecture optimization and real-time scheduling to enable concurrent execution of multiple deep learning tasks. Third, I will present two new systems for real-time 3D perception fusion between vehicle and infrastructure with centimeter accuracy.

Lastly, I will briefly discuss our recent work on tracking challenges of Federated Learning for health systems, including privacy, long-tail data distribution, heterogeneous sensor modality, and small (labelled) data. In collaboration with CUHK medical school and major local public hospitals, our technologies are being deployed and validated through a large-scale clinical trial.

Bio: Guoliang Xing is currently a Professor and the director of the AIoT Lab in the Department of Information Engineering at The Chinese University of Hong Kong. Previously, he was a faculty member at Michigan State University. He received the D.Sc. degree from Washington University in St. Louis, in 2006. He received three Best Paper Awards and seven Best Paper Finalists/Runner-Ups at leading international conferences, including ICNP, IPSN, MobiCom, IoTDI, and SenSys.  His research interests include Internet of Things (IoT), Autonomous Driving, Smart Health, Edge Computing, and wireless networking. Several mobile technologies developed in his lab were successfully transferred to the industry. He received the U.S. NSF CAREER Award in 2010 and the Withrow Distinguished Faculty Award from Michigan State University in 2014.  He has published 150+ papers which have been cited for 11,000+. He is a Fellow of IEEE. The AIoT Lab of CUHK has multiple Ph.D/RA openings in the fall 2024.