Panel Title: Intelligent Network Technologies, What’s Next?
Panel Theme:
We envision the panel theme to be around next-generation network technologies to perform intelligent/agile integration of communication, computation and storage with innovative approaches such as e.g., offloading to GPUs/FPGAs or edge-cloud offloading. Also, the panel discussions will be about potential application areas since the data-driven approaches for offloading will need to consider application domain considerations.
Keywords: 5G/6G, data center networking, edge-cloud continuum, data-driven design, service chaining, real-time applications/middleware, energy-aware networking, clean-slate approaches, in-network data processing/aggregation, distributed intelligence, intent-based networking/automation.
Moderators: Stefano Giordano, Prasad Calyam
Panelists:
David Dai (Futurewei)
Gianni Antichi (Queen Mary London)
Travis Neely (Microsoft)
Biographies:
David Dai is a senior technical director of system architecture at Huawei, working on various aspects of trustworthy computing. He has over 25 years of experience in the computer networking industry and previously held various technical leadership and managerial roles at Cisco, Andiamo, Sanera, and Nortel. His interests are focused on future mobile architecture and platforms, cloud and edge computing, SDN, NFV, cloud-based networking and heterogeneous computing.
Gianni Antichi is a senior lecturer (associate professor) at the School of Electronic Engineering and Computer Science of Queen Mary University of London. His research interests cover a broad spectrum of topics in both networks and systems: network monitoring, data plane offloading, end host networking and Software Defined Networking. He has been awarded with the best paper at ACM SIGCOMM 2017, the EPSRC new investigator in 2020 and the Facebook Faculty in 2020.
Travis Neely is a software engineer at Microsoft working on their Azure for Operators platform. His work involves enabling network operators to provide core infrastructure, combining cloud and edge resources for low latency, broad reach, and service intelligence. His research interests include Software Defined Networking, network monitoring, and Security as a Service. He has previously worked on intelligent network technology projects for AT&T in USA and has publications in venues such as ACM ICDCN and Elsevier FGCS.