Toward (Truly) Resilient Computing and Communications in 6G Mobile Systems

Abstract: Sixth-generation (6G) mobile systems will extensively leverage artificial intelligence and machine learning algorithms (AI/ML) to implement a wide variety of inference and control tasks requiring ultra-low latency and near-perfect accuracy. While edge computing techniques can decrease the AI/ML computational burden of mobile devices, the required computing and communication performance goes far beyond what existing wireless technologies can deliver today. At the same time, it becomes of fundamental importance guaranteeing that both the AI/ML algorithms and the wireless network supporting the mobile system will be resilient by design to unforeseen events. In this seminar, we are going to present our recent research results on ensuring efficient and resilient computing and communications in the context of 6G mobile systems. We will conclude the seminar with discussions on ongoing research efforts and possible research directions.

Bio: Francesco Restuccia is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University. Dr. Restuccia’s main research focus is addressing the fundamental challenges related to edge-assisted data-driven resilient mobile systems. Restuccia’s research is funded by several grants from the National Science Foundation and the Department of Defense. Dr. Restuccia has received the ONR Young Investigator Award, the AFOSR Young Investigator Award, the ACM SIGMOBILE Research Highlights Award, the Mario Gerla Award in Computer Science, as well as best paper awards at IEEE INFOCOM and IEEE WOWMOM. Dr. Restuccia has been granted 11 US patents and has been cited 4000+ times with an h-index of 32. He regularly serves as a TPC member and reviewer for several top-tier ACM and IEEE conferences and is in the editorial board of Computer Networks, IEEE Transactions on Cognitive Communications and Networking and IEEE Transactions on Mobile Computing. He is a Senior Member of IEEE and ACM.

*** The event will take place in person. The location for in-person attendance will be room 3427 EECS.