Plenary speakers

Prof Hande Yaman

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Hande Yaman received her B.S. and M.S. degrees in Industrial Engineering from Bilkent University in 1997 and 1999, and her Ph.D. degree in Operations Research from Universite Libre de Bruxelles in 2002. She worked at the Department of Industrial Engineering at Bilkent University from 2003 to 2018. She is currently a professor of Operations Research at the Faculty of Economics and Business at KU Leuven. Her research interests are in polyhedral approaches for mixed integer programming with applications in production planning, logistics, and network design.

 

Prof Matteo Fischetti

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Matteo Fischetti is full professor of Operations Research at the University of Padova, Italy. He is Associate Editor of the journals “Operations Research” and “Mathematical Programming Computation”. He won the "Best PhD Dissertation on Transportation” prize awarded by ORSA (1987) and the INFORMS Edelman award (2008). In 2015 he won the Harold Larnder Prize awarded by the Canadian Operational Research Society. His research interests include Integer Programming, Combinatorial Optimization, Railway Optimization, Vehicle and Crew Scheduling Problems. He published more than 130 papers on top-level international journals of the field.

 

Prof Jacek Gondzio

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The research interests of Professor Jacek Gondzio (School of Mathematics, Edinburgh University) include the theory and implementation of algorithms for very large-scale optimization. He is best known for his contributions in the area of interior point methods. His joint work with Andreas Grothey led to a development of the Object Oriented Parallel Solver (OOPS) which was applied in 2005 to solve a financial planning problem with more than a billion decision variables.His joint work with Kimonas Fountoulakis led to a development of efficient low-complexity methods for solving huge scale optimization problems arising in machine learning and signal/image processing. Recently, he has been working also on combining column generation with interior point methods to solve difficult combinatorial optimization problems. This work has led to a development the Primal-Dual Column Generation Method (PDCGM): http://www.maths.ed.ac.uk/~gondzio/software/pdcgm.html For his contributions to continuous optimization Professor Gondzio was awarded the EUROPT Fellowship in 2019. He is a Member of Editorial Boards of four leading optimization journals: Computational Optimization and Applications, Mathematical Programming Computation, Optimization Methods and Software and European Journal of Operational Research. 

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