Keynote speakers

Michael A. Trick

Harry B. and James H. Higgins Professor of Operations Research at Carnegie Mellon’s Tepper School of Business

Twelve Years of Scheduling Major League Baseball Teams and Umpires

Abstract: Since 2005, my colleagues and I have provided the schedules for the teams and umpires of Major League Baseball. Finding good, playable, schedules is a difficult computational task, and our approaches have used practically every modern idea in optimization, including large scale local search, Benders decomposition, column generation, and more. I discuss the various approaches we have taken and the effect of the many league changes that have taken place during the past 12 years.

Short CV: Michael Trick is the Senior Associate Dean, Faculty and Reseach and the Harry B. and James H. Higgins Professor of Operations Research at Carnegie Mellon’s Tepper School of Business. Professor Trick's academic focus is in applied operations research, computational combinatorial optimization and applications in scheduling and distribution. He joined the University's faculty in 1989.
In 2002, he served as President of the Institute for Operations Research and the Management Sciences and has since been named a Fellow of that society. From 2016-2018, he is President of the International Federation of Operational Research Societies, an umbrella organization of operational research societies whose total member exceeds 30,000 researchers and practitioners.
Professor Trick is the author of more than fifty professional publications and is the editor of six volumes of refereed articles. Trick has consulted extensively with the U.S. Postal Service on supply chain design, with Major League Baseball on scheduling issues, and with companies such as Motorola and Sony on machine scheduling.
Professor Trick earned his bachelor's degree in mathematics at the University of Waterloo in 1982 and his Ph.D. in industrial Engineering from Georgia Tech in 1987.

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Gerhard Tutz

Professor em. at Ludwig-Maximilians-Universität, Institut für Statistik, Munich

Explaining Success in Sports Competitions: Paired Comparison Methods with Explanatory Variables

Abstract: In paired comparison models, the inclusion of covariates is a tool to explain the dominance of one of the teams or players in a competition. There are three different types of covariates that can occur in paired comparisons, the covariates can either vary over the matches (subjects), the teams (objects) or both. A general framework to include covariate effects into Bradley-Terry models is presented. For each type of covariate, appropriate penalty terms that allow for sparser models and therefore easier interpretation are proposed. The whole framework is implemented in the R-package.
The approach is illustrated by using data from the German Bundesliga season 2015/16. The objective is to identify the on-field variables that are connected to the sportive success or failure of the single teams. The extended Bradley-Terry model that is proposed uses an ordinal response and (possibly team-specific) home effects. It is able to take into account on-field covariates and, therefore, allows for match-specific abilities of the teams depending on the values of the on-field covariates.

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Nicola Parolini

Professor of Numerical Analysis at the MOX Laboratory of the Dipartimento di Matematica at Politecnico di Milano

Mathematical models for sport: America's Cup, Olympic Rowing and more

Abstract: Based on different research projects carried out in the past few years on sailing, rowing and swimming, we will describe the role that mathematics and scientific computing can play in sport competitions. In particular, through the discussion of practical examples, we will show how mathematical models and numerical simulations have been successfully employed in the design of sport devices, the analysis of performances and the optimization of athletic actions.

Short CV: Nicola Parolini is Associate Professor of Numerical Analysis at the MOX Laboratory of the Math Department of Politecnico di Milano. He received a master degree in Aerospace Engineering from Politecnico di Milano in 2000, and a Ph.D. in Applied Mathematics from the Ecole Politechnique Fédérale de Lausanne in 2004.
His research focuses on the development of numerical models for the simulation of flow problems in different applications, including free-surface ship hydrodynamics and industrial fluid-structure interaction problems.

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Fabrizio Renzi

Director of technology and innovation at IBM Italy

Innovative usage of cognitive solutions and analytics for Sport

Abstract:We will discuss some innovative application of artificial intelligence and analytics for sport. Two main areas will be explored. The first is the usage of advanced analytics to forecast and prevent injures in professional athletes. In the second part the focus will be around the usage of an artificial intelligence powered cognitve coach to push the proper behaviour of professional athletes and non-athletes for physical exercise and nutrition. For both cases results with real data and use-cases will be described in depth.

Short CV: Fabrizio Renzi is the Director of technology and innovation of IBM Italy. In this role he leads all the technical activities of IBM to works together with italian companies for their digital transformation. He is also in charge of connecting Research to Business by bringing IBM laboratories capabilities into Italian markets.
From 2011 to 2013 he was Director of technology and innovation for Italian banks, insurances and financial institutions. In 2009-2010 he was, based in Dubai, IBM Director of Systems and Technologies for emerging markets (Russia, Eastern Europe, Middle East and Africa).
Since 1997 he worked with increasing responsibilities on leading edge technologies and transformation initiatives for IBM, covering different managerial roles in areas such as: ondemand, ebusiness, ecommerce, network computing solutions, client server.
He joined IBM in 1990 as System Engineer in charge of introducing in Italy new products technologies and solutions developed in IBM R&D labs in USA, where he also spent some years of his professional life in international assignments.
Master degree in Biomedical Engineering from Politecnico di Milano, he also got an International Executive Program MBA from INSEAD in Paris.
Speaker in several scientific congresses and technology related events, Renzi is also author of several papers and publication in technology and scientific topics. He cooperated with Italian and international university as lecturer and contract professor.

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