26th International Symposium on Mathematical Programming (ISMP 2027)
Amsterdam, The Netherlands
July 25–30, 2027
https://ismp2027.mathopt.nl/
The 26th International Symposium on Mathematical Programming (ISMP 2027) will take place in Amsterdam, The Netherlands, July 25–30, 2027. ISMP is a triennial conference on mathematical optimization held on behalf of the Mathematical Optimization Society, gathering scientists from around the world to present and share their most recent advances and development in the field. It is also a unique opportunity to discuss new challenges and opportunities in practice and theory of mathematical optimization.
The Scientific Committee of ISMP 2027 is pleased to announce the plenaries, semi-plenaries, and streams of the conference.
Plenary Speakers
Daniel Bienstock, Columbia University
Jim Luedtke, University of Wisconsin-Madison
Thomas Rothvoss, University of Washington
Katya Scheinberg, Georgia Tech
Defeng Sun, The Hong Kong Polytechnic University
Semi-Plenary Speakers
David Applegate, Google NYC
Nicolas Boumal, EPFL
René Henrion, Weierstrass Institute Berlin
Patrick Jaillet, MIT
Rahul Mazumder, MIT
Gonzalo Muñoz, Universidad de Chile
Vera Traub, ETH Zürich
Madeleine Udell, Standford University
Lásló Végh, University of Bonn
Streams and Organizers
Approximation and Online Algorithms – Nicole Megow, Mohit Singh
Combinatorial Optimization – Kristof Berci, Britta Peis
Complementarity, Variational Inequalities and Variational Analysis – Tim Hoheisel, Guoyin Li
Conic Programming – Etienne de Klerk, Levent Tuncel
Constraint Programming – Willem van Hoeve, Louis-Martin Rousseau
Contextual Optimization – Utsav Sadana, Bart van Parys
Continuous Optimization with Machine Learning – Nicolas Loizou, Edouard Pauwels
Derivative-free and Simulation-based Optimization – Ana Custodio, Sara Shashaani
Discrete Optimization with Machine Learning – Thiago Serra, Neil Yorke-Smith
Energy and Environment – Lars Schewe, Andy Sun
Finance and Economics – Cagil Kocyigit, Napat Rujeerapaiboon
Game Theory, Bi-level and Multi-Objective Optimization – Gabriele Eichfelder, Uday Shanbhag
Global Optimization – Fatma Kılınç-Karzan, Alper Yıldırım
Implementations and Software – Haihao Lu, Juan Pablo Vielma
Integer and Mixed Integer Programming – Oktay Gunluk, Stefan Weltge
Markov Decision Processes, Reinforcement Learning, and Simulation – George Lan, Enlu Zhou
Mixed Integer Non-linear Programming – Andres Gomez, Jan Kronqvist
Networks, Logistics and Transportation – Beste Basciftci, Cristiana L. Lara
Nonlinear Optimization – Xin Liu, Shoham Sabach
Nonsmooth Optimization – Ying Cui, Dmitriy Drusvyatskiy
Optimal Control, PDE Constrained Optimization, and Multi-level Methods – Justin Sirignano, Thomas Surowiec
Quantum Computing and Quantum Information – Giacomo Nannicini, Tamas Terlaky
Random Methods for Continuous Optimization – Jelena Diakonikolas, Akiko Takeda
Robust and Distributionally Robust Optimization – Karthik Natarajan, Wolfram Wieseman
Stochastic Optimization –Merve Bodur, Johannes Royset
Important Dates
September 1, 2026: Submissions open
January 15, 2027: Early bird registration opens
March 15, 2027: Early bird registration deadline
More details can be found at the conference website at https://ismp2027.mathopt.nl/.
We are looking forward to welcoming you to Amsterdam for ISMP 2027.
The ISMP 2027 Organizing Committee