Imperial College London


Faculty of EngineeringDepartment of Computing

Lecturer in Department of Computing



d.paccagnan Website




Electrical EngineeringSouth Kensington Campus





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 Z├╝rich
2014 M.Sc. Technical University of Denmark
2014 M.Sc. University of Padova
2011 B.Sc. University of Padova 



Paccagnan D, Chandan R, Ferguson BL, 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

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