I am interested in the modeling, analysis, and control of multi-agent systems where self-interested agents take autonomous decisions. I leverage theoretical models and real world studies to shed light on the societal impact of self-interested decision making. Visit my research webpage for more information.
Applications: intelligent mobility and electricity markets.
Keywords: game theory, optimization, algorithms, control and network theory.
|2020 -||Lecturer (US Assistant Prof), Imperial College|
|2018 -||Member of Board of Directors, Aleph Digital Industry|
|2018 - 2020||Postdoctoral Scholar, UCSB, SNSF Fellow|
|2018||PhD, ETH Zürich|
|2014||M.Sc. Technical University of Denmark|
|2014||M.Sc. University of Padova|
|2011||B.Sc. University of Padova|
et al., 2021, Optimal Taxes in Atomic Congestion Games, Acm Transactions on Economics and Computation, Vol:9, ISSN:2167-8375
Paccagnan D, Chandan R, Marden JR, 2020, Utility design for distributed resource Allocation - Part I: characterizing and optimizing the exact price of anarchy, Ieee Transactions on Automatic Control, Vol:65, ISSN:0018-9286, Pages:4616-4631
Chandan R, Paccagnan D, Marden JR, 2020, When smoothness is not enough: toward exact quantification and optimization of the price-of-anarchy, 2019 IEEE 58th Conference on Decision and Control (CDC), IEEE, Pages:1-6
Paccagnan D, Campi MC, 2019, The scenario approach meets uncertain game theory and variational inequalities, 2019 IEEE 58th Conference on Decision and Control (CDC), IEEE, Pages:1-6
Chandan R, Paccagnan D, Marden JR, 2019, Optimal price of anarchy in cost-sharing games, 2019 American Control Conference (ACC), IEEE, Pages:2277-2282