Summary
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.
SHORT BIO
| 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 |
Publications
Journals
Paccagnan D, Gairing M, 2023, In Congestion Games, Taxes Achieve Optimal Approximation, Operations Research, ISSN:0030-364X
Huang EY, Paccagnan D, Mei W, et al., 2023, Assign and Appraise: Achieving Optimal Performance in Collaborative Teams, Ieee Transactions on Automatic Control, Vol:68, ISSN:0018-9286, Pages:1614-1627
Jalota D, Paccagnan D, Schiffer M, et al., 2023, Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements, Informs Journal on Computing, ISSN:1091-9856
Ferguson BL, Paccagnan D, Marden JR, 2023, The Cost of Informing Decision-Makers in Multi-Agent Maximum Coverage Problems With Random Resource Values, Ieee Control Systems Letters, Vol:7, ISSN:2475-1456, Pages:2928-2933
Conference
Zhang K, Paccagnan D, Macias JJE, et al., 2023, Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation, Pages:2916-2918, ISSN:1548-8403