About
Jan Buermann is a Research Fellow for Citizen-Centric AI Systems in the Agents, Interaction and Complexity (AIC) research group in the Department of Electronics and Computer Science (ECS). His research focuses on designing and developing AI systems that improve humans' lives by addressing societal challenges or by making these AI systems work better for all users. Many of his works are linked to energy, decarbonisation and fairness.
Jan is the Researcher Development Concordat Champion for the School of Electronics and Computer Science.
Research
Research groups
Research interests
- My main interest is the design of fair AI systems which manage the diverging interests of self-interested agents for the efficient usage of resources under uncertainty.
- I am particularly interested in fully including and considering agents' incentives relating to costs, participation, manipulation and fairness.
- I am excited about working on problems that bridge fundamental and practical real-world applicable research, especially in connection to smart energy systems and net zero/decarbonisation.
Current research
Jan Buermann is currently contributing to the CCAIS project (Citizen-Centric Artificial Intelligence Systems) and the FEVER project (Future Electric Vehicle Energy Networks supporting Renewables). His work spans the needs of the FEVER project for designing grid-independent renewable-energy-based electric vehicle charging stations and the aims of the CCAIS project to design user-enteric AI systems. Specifically, Jan is devising systems in the areas of smart charging, energy storage and grid interaction that take users’ needs into consideration and provides efficient and citizen-trustworthy AI systems.
Research projects
Active projects
Publications
Biography
Jan Buermann received his PhD from the University of Southampton in 2022 focusing on the design and analysis of efficient algorithms for the usage of uncertain resource in multi-agent system. His work contributed to the areas of fair allocation of homogeneous resources and optimal random robot movement strategies on poly-lines.
Prior to his current role, Jan further expanded his expertise on net zero by investigating decarbonisation pathways in the maritime industry as a research fellow at the Centre for Maritime Futures at the University of Southampton. Before joining Southampton, he received a BSc and an MSc in computer science from the University of Paderborn (Germany) where he worked on the usage of information to influence routing decisions in everyday traffic situations (routing games under uncertainty).