Workshop Lecture 1, 10/02/2021, 14:00 - 15:00
Department of Computer Science
University of Milan
Plenary 1
Integrated methods for prescriptive analytics
Data analytics are changing our society. Predictive methods, such as machine learning, are currently playing a major role, but prescriptive (a.k.a. optimization) ones are seen as the next breakthrough. In this talk I briefly discuss the general setting and challenges of prescriptive analytics. Then I focus on recent experiments on combining operations research, machine learning and simulation for achieving effective techniques in real world applications. Finally, I comment on possible future research perspectives in the field.
Biosketch
Alberto Ceselli is currently Associate Professor at the Department of Computer Science, University of Milan.
His research interests include prescriptive data analytics, mathematical programming, computational integer programming, design and experimental analysis of algorithms for combinatorial optimization problems.
He got his M.Sc. Degree in 2002; his thesis has been awarded the Camerini Carraresi prize by the Italian O.R. Society. He received his Ph.D. in Computer Science in 2006. Before joining University of Milan, he has been appointed as visiting fellow in the "Marie Curie" training network "Combinatorics Geometry and Computation" at the Technical University of Berlin (2005) and as postdoc at Politecnico di Milano (2006). He has also been a CNRS "poste rouge" visiting researcher at Univ. Paris XIII (2009). He cares spending at least one month per year doing research abroad: his most recent research visits include Univ. Paris 13 - UPMC Paris 6 - LORIA Nancy (September 2015), INRIA Sophia Antipolis (June - July 2016) and GERAD - Polytechnique Montreal (June - July 2017). Since March 2018 and November 2020 he holds Italian national habilitations for full professorship in Operations Research and Computer Science.