Current Position

Post-Doctoral Research Fellow(June 2019 - Present)

Department of Multi-Agent Systems, IIIA-CSIC, Barcelona, Spain

Current project: Enhanced Data Management Techniques for Real-Time Logistics Planning and Scheduling (LOGISTAR)

Funding: € 5 000 000 (H2020)

Role: As part of this project I am in charge of designing and implementing optimisation solution techniques for collaborative transportation and logistics (co-loading).

Previous Position

Marie Skłodowska-Curie Fellow(June 2017 - June 2019)

Department of Multi-Agent Systems, IIIA-CSIC, Barcelona, Spain

Project: Collectiveware: Highly-Parallel Algorithms for Collective Intelligence (HPA4CF)

Funding: € 158 121 (H2020-MSCA-IF-2016)

Abstract: The aim of the project is to design and evaluate novel highly-parallel algorithms for real-world Collective Intelligence domains, which usually translate into large-scale (online) Combinatorial Optimisation problems. As prominent examples of these domains we consider shared mobility and cooperative learning. Result show that the implementation of optimal policies within these domain can produce major societal benefits, by reducing pollution and energy consumption by up to 70.78% [T-ITS, 2021], and by promoting productivity and learning by 25.3% [KBS, 2019], respectively.

Selected Publications

Efficient Coalition Structure Generation via Approximately Equivalent Induced Subgraph Games(in press)

IEEE Transactions on Cybernetics (TCYB)

Authors: Filippo Bistaffa, Georgios Chalkiadakis, Alessandro Farinelli

A Heuristic Algorithm for Multi-Agent Vehicle Routing with Automated Negotiation(2021)

Proceedings of AAMAS Conference

Authors: Dave De Jonge, Filippo Bistaffa, Jordi Levy

A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers(2021)

IEEE Transactions on Intelligent Transportation Systems (T-ITS)

Authors: Filippo Bistaffa, Christian Blum, Jesús Cerquides, Alessandro Farinelli, and Juan A. Rodríguez-Aguilar

Synergistic Team Composition: A Computational Approach to Foster Diversity in Teams(2019)

Knowledge-Based Systems (KBS)

Authors: Ewa Andrejczuk, Filippo Bistaffa, Christian Blum, Juan A. Rodríguez-Aguilar, and Carles Sierra

A Cooperative Game-Theoretic Approach to the Social Ridesharing Problem(2017)

Artificial Intelligence (AIJ)

Authors: Filippo Bistaffa, Georgios Chalkiadakis, Alessandro Farinelli, and Sarvapali D. Ramchurn

Algorithms for Graph-Constrained Coalition Formation in the Real World(2017)

ACM Transactions on Intelligent Systems and Technology (TIST)

Authors: Filippo Bistaffa, Alessandro Farinelli, Jesús Cerquides, Juan A. Rodríguez-Aguilar, and Sarvapali D. Ramchurn

An Efficient Approach for Accelerating Bucket Elimination on GPUs(2017)

IEEE Transactions on Cybernetics (TCYB)

Authors: Filippo Bistaffa, Nicola Bombieri, and Alessandro Farinelli


Ph.D. (Doctor Europæus) Computer Science(April 2016)

University of Verona

Thesis: Constraint Optimisation Techniques for Real-World Applications
Supervisor: Prof. Alessandro Farinelli
Special mention: AI*IA Premio NeoDottori di Ricerca "Marco Cadoli" 2017

M.Sc. Engineering and Computer Science(March 2012)

University of Verona

Thesis: Stable Coalition Formation in the Energy Market Using Graphical Model Based Approach
Supervisor: Prof. Alessandro Farinelli
Grade: 110/110 cum laude

B.Eng. Computer Engineering(September 2009)

University of Pavia

Thesis: Implementazione di Lossy Link su Kernel Linux 2.6
Supervisor: Prof. Giuseppe Rossi
Grade: 110/110 cum laude