Systems Lunch: Romaric Duvignau (Chalmers University of Technology), Data-Driven and Efficient Algorithms for Enhanced Communication at the Edge
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Speaker: Romaric Duvignau
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. In this presentation, I will put the focus on advancements we have made in the last 5 years for optimizing shared energy resources among households at the smart grid's edge.
Bio: Romaric Duvignau is an Associate Professor in the Distributed Computing and Systems research group at Chalmers University of Technology, Gothenburg, Sweden. His core research focuses on designing data-driven algorithms for distributed applications, addressing challenges in fault tolerance, cybersecurity, privacy, big data and streaming analytics. His current interests include the efficient monitoring of large-scale distributed systems, intelligent data management and decision making in smart grids, federated learning, programmable networks, and network traffic classification. Prof. Duvignau, recognized by the Chalmers Pedagogic Prize 2023, also research novel pedagogic techniques and tools for his courses.