Speaker: James Gross is a professor with the Electrical Engineering and Computer Science School of KTH Royal Institute of Technology, Stockholm
Abstract: Automated control, cognitive assistance as well situational awareness applications are currently among the most interesting candidates to influence the evolution of future cellular networks. Their potential stems from their tight integration with reality, which promises nothing short than a transformation of everyday life. One may think of these applications, and the corresponding fabric enabling them, as an upcoming “Internet of Reality”. Interestingly, from a fundamental perspective, all these applications fall back to the principle of a closed loop. In this talk, we study the implications of such closed-loop applications from theoretical as well as practical perspective. We discuss recent results on communication and compute trade-offs in edge computing systems, as well as aspects of cross-layer optimization for automation and cognitive assistance applications. The main take-away of this talk is that state-of-the-art cannot nearly provide a systematic understanding of such applications, which is a major roadblock to devising efficient network designs allowing their scalable deployment. In order to address these challenges, we discuss our testbed approach as well as our software tools that drive the testbed and our experimental work.
Biography: James Gross is a professor with the Electrical Engineering and Computer Science School of KTH Royal Institute of Technology, Stockholm since November 2012. He is associate director of KTH Digital Futures and a co-director of KTH’s comptence center on edge computing TECoSA. From 2014 – 2020 he was a member of the board of KTH’s Innovative Centre for Embedded Systems, while he served from 2016 – 2019 as director for KTH’s ACCESS Linnaeus Centre. His research interests are broadly in the area of mobile systems & networks, with a focus on critical machine-to-machine communications, edge computing, resource allocation as well as performance evaluation methods (in particular stochastic network calculus as well as age of information). Prior to joining KTH, he was assistant professor and head of the Mobile Network Performance Group at RWTH Aachen University from 2008 – 2012 as well as a member of the DFG-funded UMIC research centre of RWTH. James studied at TU Berlin and UC San Diego, and received his PhD from TU Berlin in 2006.James has published about 150 (peer-reviewed) papers in international journals and conferences. His work has been awarded multiple times, among them the best paper awards at ACM MSWiM 2015, the best demo paper award at IEEE WoWMoM 2015, the best paper award at IEEE WoWMoM 2009 and the best paper award at European Wireless 2009. In 2007, James was the recipient of the ITG/KuVS dissertation award for his PhD thesis. James currently serves as Editor for IEEE Transactions on Wireless Communications.
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Time: Jun 6, 2022 01:00 PM Central Time (US and Canada)
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