Seminar by Prof. Romaric Duvignau, Chalmers University of Technology, Sweden, 28 Nov 2024, CCDS Meeting Room

Abstract: Communication is the cornerstone element of many distributed, cyber-physical, or IoT systems (e.g., vehicular networks, smart grid, sensor networks). Transmitting data in the most efficient manner is often a requirement for many applications to reduce costs and boost performance. What is needed in this context are dedicated (i.e., data- or use-case-driven) and efficient algorithms that must be designed, analyzed, and experimentally validated, taking into account both the communication network and the distribution and continuous aspect of the generated data. My research centers on the design, study, and evaluation of those distributed and application-driven algorithms to perform optimization on a continuous basis and decrease computational burden and/or communication costs. Within this presentation, I will showcase recent advancements using a couple of examples of such data-driven and efficient algorithms in the context of different large-scale distributed applications: big data analytics and data management in vehicular networks, and improving the privacy of video streaming.

Bio: Romaric Duvignau is an Associate Professor in the Distributed Computing and Systems research group at Chalmers University of Technology, Gothenburg, Sweden. His research focuses on designing data-driven algorithms for distributed applications, addressing challenges in fault tolerance, cybersecurity, privacy, big data, and streaming analytics.

Prof. Duvignau's work spans diverse domains, including mobile networking, vehicular networks, and peer-to-peer energy sharing. His current projects include the efficient monitoring of large-scale distributed systems and intelligent data management and decision making in smart grids. He also actively supervises projects on federated learning, programmable networks, and network traffic classification.

Prof. Duvignau teaches courses on computer networking, distributed systems, and data-driven support for cyber-physical systems and was awarded the Chalmers Pedagogic Prize 2023. He is also a potential nominee for the Swedish STINT's Teaching Sabbatical programme, which offers semester-long teaching opportunities at partner institutions, including NTU.

Seminar host: Xueyan Tang