Stream 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: Bart van Parys, Utsav Sadana
  • 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 Wiesemann
  • Stochastic Optimization: Merve Bodur, Johannes Royset