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Learning algorithms is an ever-increasing part of modern engineering
Learning algorithms have already shown great promise to deliver high-performing solutions to complex dynamic problems ranging from walking robots to games. They are set to play an ever-increasing role in modern safety-critical infrastructure such as smart grids and intelligent transportation. However, their emergence in safety-critical systems is not without problems.
Esteban won the best PhD thesis award of the Control Systems division of the EEA Club and the GdR MACS from the French CNRS (National Centre for Scientific Research). We talked to Esteban about his background, his research and his goals for the future.
EECS researchers awarded prestigious fellowships
EECS captures four out of five elevations to IEEE fellow awarded to Swedish academia.
Towards complexity-aware-decision-making for robots
Is it possible to optimise robots' decision-making so that decisions are good and simple? Yes, doctoral student Elis Stefansson's research has shown that. Now, he has won the Outstanding Student Paper Prize 2022 by the IEEE Control Systems Society Technical Committee on Hybrid Systems. This prize is given annually at the IEEE Conference on Decision and Control.
We talked to Stefan Bauer who is organising a Machine Learning for Drug Discovery Workshop and GeneDisco Challenge, Friday 29 April.