Exposés invités

Sourour Elloumi, ENSTA ParisTech

 

Sourour Elloumi est Professeur de Recherche Opérationnelle à l'Unité de Mathématiques Appliquées de l'Ecole Nationale Supérieure des Techniques Avancées à Paris. Elle est également membre du Centre d'Etudes et de Recherches en Informatique et Communications du Cnam. Auparavant, elle était Maître de Conférences au Cnam puis à l'ENSIIE. Elle a effectué des séjours en tant que professeur invité à l'Université Libre de Bruxelles, à l'Université de Klagenfurt et à l'Université d'Aix-la-Chapelle. Ses travaux de recherche s'intéressent aux aspects méthodologiques de l'optimisation mathématique discrète, avec un focus sur l'optimisation quadratique. Elle s'intéresse également à différentes applications de la Recherche Opérationnelle, en particulier dans le domaine ferroviaire et celui des télécommunications.
 

A snapshot of quantum algorithms for optimization

Giacomo Nannicini, IBM T. J. Watson, New York

Résumé : There is much hype surrounding quantum computing and its potential applications for optimization. However, the technical details are often lost in translation. This talk provides an overview of quantum algorithms that could potentially be useful for continuous or discrete optimization. Most of the discussion will be devoted to the benefits and limitations of algorithms for SDP and LP via faster solution of linear systems, or with the multiplicative weights update method. We will also discuss some fundamental open questions, highlighting what algorithmic limitations need to be overcome for quantum computing to have an impact on the practice of optimization.

 

Giacomo Nannicini is a Research Staff Member in the Theory of Quantum Computing and Information group at the IBM T. J. Watson Research Center. Before joining IBM, he was an assistant professor in the Engineering Systems and Design pillar at the Singapore University of Technology and Design. His main research interest is optimization broadly defined and its applications. Giacomo received several awards, including the 2016 COIN-OR Cup, the 2015 Robert Faure prize, the 2012 Glover-Klingman prize. His algorithms and software are used by one of the largest real-time traffic and mobility information groups in Europe and in IBM Watson Studio.
 

Vehicle Routing under Uncertainty: Recent Advances and Trends

Wolfman Wiesemann, Imperial College Business School, London

 

Wolfram Wiesemann is Professor of Analytics and Operations as well as Fellow of the KPMG Centre for Advanced Business Analytics at Imperial College Business School, London. Before joining the faculty of Imperial College Business School in 2013, he was a post-doctoral researcher at Imperial College London (2010-2011) and an Imperial College Research Fellow (2011-2012). He was a visiting researcher at the Institute of Statistics and Mathematics at Vienna University of Economics and Business, Austria, in 2010, the Computer-Aided Systems Laboratory at Princeton University, USA, in 2011, and the Industrial Engineering and Operations Research Department at Columbia University, USA, in 2012. Wolfram’s research interests revolve around the methodological aspects of decision-making under uncertainty, as well as applications in logistics, operations management and energy.

 

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