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MATTEO FISCHETTI
Position
Professore Ordinario
Address
VIA G. GRADENIGO, 6/B - PADOVA
Telephone
0498277944

Matteo Fischetti was born in 1958. In 1982, he received his degree in Electrical Engineering (cum laude) at the University of Bologna. In 1987, he got his PhD degree in System Engineering at the University of Bologna. Since 1997, he is full professor of Operations Research at the Department of Information Engineering of the University of Padova.
His research interests include Railway Optimization, Integer Programming, Combinatorial Optimization, Vehicle Routing and Crew Scheduling Problems, and Polyhedral Combinatorics.
He was a member of the Editorial Board of the international journals Operations Research (till 2024) and Mathematical Programming Computation (till 2026). He was the Program Committee chair of the international meetings “IPCO 2007” and “ATMOS 2008” and plenary speaker at the following prestigious international meetings: Mathematical Programming Symposium (Lausanne 1997, and Chicago 2009), CORS/INFORMS (Montreal 2015), OR (Vienna 2015), RAMP (Tokyo 2014), ISCO (Lisbon, 2014), Matheuristic (Angra dos Reis, 2012), EURO XXV (Vilnius, 2012), VeRoLog (Bologna, 2012), EuroGP2005 & EvoCOP2005 (Lausanne, 2005), and 1st Nordic Optimization Symposium (Copenhagen, 2006).
Matteo Fischetti won the following scientific prizes related to his research activity in the field of optimization:
• First Prize "Best Young Researcher", awarded by A.I.R.O. (the Italian Operations Research Society), 1987;
• First International Prize "Best Ph.D. Dissertation on Transportation", awarded by the Operations Research Society of America (the first prize awarded by O.R.S.A. for a Ph.D. thesis developed outside U.S.A.), 1987;
• First Prize "FASTER", awarded by FS-Ferrovie dello Stato for the best computer code for solving very large set-covering problems arising in railway scheduling (jointly with P. Toth and A. Caprara), 1994;
• First Prize "FARO", awarded by FS-Ferrovie dello Stato for the best computer code for solving a crew scheduling problem arising in railway applications (jointly with P. Toth, D. Vigo and A. Caprara), 1995.
• Finalist of the INFORMS “Daniel H. Wagner Prize for Excellence in Operations Research Practice” with the paper “Reinventing Crew Scheduling at Netherlands Railways (jointly with Erwin Abbink, Leo Kroon, Gerrit Timmer, and Michiel Vromans), 2004.
• Winner of the INFORMS “Edelman award 2008” (the Oscar for OR practice) with the entry “Netherlands Railways – The New Dutch Timetable: The OR Revolution” (jointly with Leo Kroon, Dennis Huisman, Erwin Abbink, Pieter-Jan Fioole, Gabor Maroti, Lex Schrijver, Adri Steenbeek, Roelof Ybema), 2008.
• Winner of the 11th DIMACS Implementation Challenge for the best computer codes for Steiner Tree problems (jointly with Markus Leitner, Ivana Ljubic, Martin Luipersbeck, Michele Monaci, Max Resch, Domenico Salvagnin and Markus Sinnl), 2014.
• Winner of the Harold Larnder Prize awarded annually to an individual who has achieved international distinction in Operational Research, 2015.
• Winner of the 2016 COAP Best Paper Award for the entry "On handling indicator constraints in mixed integer programming" (j
He was project leader for the University of Padua of the following research projects related to railway optimization, all supported by the European Union: Europe-TRIS (1995-1998), Europe-TRIO (1997-1999), and ARRIVAL (2005-2008).
Matteo Fischetti published more than 120 scientific papers on the top-level journals of the area.
Notices
Office hours
Monday from 10:00 to 12:00
at Studio 4o piano, DEI, vie Gradenigo 6/A, 35100 PADOVA
su appuntamento (scrivere a matteo.fischetti@unipd.it)
Publications
http://scholar.google.com/citations?hl=en&user=5rOdaqAAAAAJ&view_op=list_works&pagesize=100
...
[131] M. Fischetti, M. Monaci, "A Branch-and-Cut Algorithm for Mixed-Integer Bilinear Programming", European Journal of Operational Research 282, 506-514, 2020 (doi: 10.1016/j.ejor.2019.09.043)
[132] D. Cazzaro, M. Fischetti, M. Fischetti, "Heuristic Algorithms for the Wind Farm Cable Routing Problem", Applied Energy 278, 115617, 2020 (doi:10.1016/j.apenergy.2020.115617)
[133] M. Fischetti, M. Stringher, "Embedding Simulated Annealing within Stochastic Gradient Descent", Communications in Computer and Information Science, 2021, 1443, pp. 3-13, 2021 (doi: 10.1007/978-3-030-85672-4_1)
[134] F. Cavaliere, E. Bendotti, M. Fischetti, "An integrated local-search/set-partitioning refinement heuristic for the Capacitated Vehicle Routing Problem", Mathematical Programming Computation 14, 749-779, 2022 (doi: 10.1007/s12532-022-00224-2)
[135] D. Liu, M. Fischetti, A. Lodi, "Learning to Search in Local Branching", Proceedings of the AAAI Conference on Artificial Intelligence, 36(4), 3796-3803, 2022 (doi: 10.1609/aaai.v36i4.20294 -- arXiv preprint arXiv:2112.02195)
[136] M. Fischetti, M. Fischetti, "Integrated layout and cable routing in wind farm optimal design", Management Science, 2022 (doi: 10.1287/mnsc.2022.4470).
[137] M. Fischetti, M. Fischetti, J. Stoustrup, "Safe distancing in the time of COVID-19", European Journal of Operational Research, 304(1), 139-149, 2023 (doi: 10.1016/j.ejor.2021.07.010).
[138] D. Palasgo, M. Fischetti, R. Roberti, "Column Generation Algorithms for the Pickup and Delivery Problem with Time Windows and Last-in-First-out Loading", 2024 (to appear).
[139] D. Salvagnin, R. Roberti, M. Fischetti, "A fix-propagate-repair heuristic for Mixed Integer Programming", Mathematical Programming Computation, 2024 (doi: 10.1007/s12532-024-00269-5).
[140] M. Fischetti, M., Fischetti, M., "Matheuristics by Examples", In: Marti', R., Pardalos, P.M., Resende, M.G. (eds), Handbook of Heuristics, Springer, Cham, 2025 (doi: 10.1007/978-3-319-07153-4_14-2).
[141] D. Salvagnin, R. Roberti, M. Fischetti, "An improved compact formulation for the assortment optimization problem with small consideration sets", Journal of the Operational Research Society, 2025 (doi: 10.1080/01605682.2025.2451738).
Research Area
Mathematical Optimization, Linear Programming, Integer Programming, Combinatorial Optimization, Graph Theory, Polyhedral Combinatorics, Railways Optimization, Integration of Mathematical Optimization and Machine Learning
Thesis proposals
See
http://www.dei.unipd.it/~fisch/ricop/tesi/?M=D