Seminaire LIA: Fabio Furini (LAMSADE, Univ. Paris Dauphine)

Le 23/03 à 10h30, Salle 6



Speaker: Fabio Furini  (LAMSADE, Univ. Paris Dauphine)



Abstract:
My backbone research project is to study and develop algorithms based on Reformulations and Decompositions of Mixed Integer Linear and Nonlinear Programs. The principal idea is to exploit the hidden problem structure in order to take advantage of reformulation and decomposition principles for solving general, large, practical decision problems formulated as Mixed Integer Linear and Nonlinear Programs. My research focuses on identifying and taking advantage of innovative decomposition and reformulation methods for hard Combinatorial Optimisation Problems. Divide and conquer, from Latin divide et impera, is one of the key techniques for tackling combinatorial optimization problems. It relies on the idea of decomposing complex problems into a sequence of subproblems that are then easier to handle. Decomposition techniques (such as Dantzig-Wolfe, Lagrangian, or Benders decomposition) are extremely effective in a wide range of applications, including cutting & packing, production & scheduling, routing & logistics, telecommunications, transportation and many others. Moreover, decomposition techniques are playing an important role in many different fields of mixed-integer linear and non-linear optimization, multi objective optimization, optimization under uncertainty, bilevel optimization, etc. Despite the tremendous amount of research on these topics, the mathematical optimization community is constantly faced with new challenges coming from theoretical aspects and real world applications that require the development of new advanced tools.
 
Bio:
I have received my Bachelors and Masters degrees in Engineering and Industrial Management, and my Ph.D in Automation and Operations Research at the University of Bologna in 2004, 2007 and 2011 respectively. I have conducted periods of research at prestigious universities in Europe and the United States, including the University of Colorado, the Imperial College of London, the University of Vienna and many others. I am currently holding a position as associate professor at Paris Dauphine University, since September 2013. My research is a combination of the disciplines of Mathematics, Economics, Information Technology, and Operations Research. I have used advanced analytical techniques to arrive at solutions of optimal or near-optimal standard to intricate decision-making problems. The focus of my research has been on achieving operational efficiencies, aiming to develop general software, generalizable insights and applications. I have published articles on these subjects in many leading international journals in the field of optimization such as Mathematical Programming, INFORMS Journal on Computing, European Journal of Operational Research, Computational Optimization and Applications, Operations Research Letters, Networks, Transportation Research Part B, Computer & Operations Research, Information Processing Letters, Discrete Optimization, Journal of Scheduling, Omega and Discrete Applied Mathematics. I have also published several articles in proceedings of international conferences, such as IPCO, ISCO, INOC, CPAIOR and many others.

 

Undefined
event_date: 
Vendredi, 23 Mars, 2018 - 10:30 to 11:30


Laboratoire Informatique d'Avignon

Université d'Avignon et des Pays de Vaucluse
339 chemin des Meinajaries, Agroparc BP 91228, 84911 Avignon cedex 9
+33 (0)4 90 84 35 00