Research: Dr Paccagnan is interested in the modeling, analysis, and control of multi-agent systems where self-interested agents take autonomous decisions. He leverages theoretical models and real world case studies to shed light on the societal impact of self-interested decision making. Applications include future mobility systems and electricity markets.
Bio: Dr Paccagnan is a Lecturer (US Assistant Professor) and a member of the Computational Optimization Group in the Department of Computing, Imperial College London. Previously, he was a Postdoctoral Fellow at the Center for Control, Dynamical System, and Computations, UCSB. He received a PhD from the Automatic Control Laboratory, ETH Zurich in 2018. He was awarded a B.Sc. and two M.Sc. degrees from the University of Padova, and the Technical University of Denmark under the TIME double degree program. Dr Paccagnan was recognized with the ETH medal for his doctoral work, the SNSF Early Postdoc Mobility Fellowship, and the SNSF Doc Mobility Fellowship.