2025 SPS Student Paper Prize Finalists

Dear Stochastic Programming Society,


We are pleased to announce the finalists for the 2025 Dupačová-Prékopa Best Student Paper Prize in Stochastic Programming. We received 27 excellent nominations this year, so the committee had a very difficult time choosing just 5 finalists. We appreciate and recognize the great work in all the nominations we received.

 

The finalists will present their work in a dedicated session at ICSP 2025 (icsp2025.org) this summer, where also the winner and 2nd place will be announced. In alphabetical order, the finalists are:

 

Maria Carolina Bazotte, for the paper “Solving Two-Stage Programs with Endogenous Uncertainty via Random Variable Transformation”, co-authored with Margarida Carvalho and Thibaut Vidal.

 

Mengmeng Li, for the paper “Towards Optimal Offline Reinforcement Learning,” co-authored with Daniel Kuhn and Tobias Sutter.

 

Haoming Shen, for the paper “Convex Chance-Constrained Programs with Wasserstein Ambiguity”, co-authored with Ruiwei Jiang.

 

Tianyu Wang, for the paper “Optimizer’s Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization”, co-authored with Garud Iyengar and Henry Lam.

 

Xian Yu, for the paper “Multistage distributionally robust mixed-integer programming with decision-dependent moment-based ambiguity sets”, co-authored with Siqian Shen.

 

Sincerely,

The 2025 Dupačová-Prékopa Best Student Paper Prize in Stochastic Programming Committee:

Jim Luedtke (University of Wisconsin-Madison, chair)
Miloš Kopa (Charles University in Prague)
Karmel Shehadeh (USC)

Nordic Winter School on Advanced Stochastic Optimization 2026

By SPS Wolfram • August 26, 2026
We invite PhD students to participate in the Nordic Winter School on Advanced Stochastic Optimization at NTNU in Trondheim, Norway from 7-11 December 2026 . The course consists of (guest) lectures by experts in the field, teaching about their expertise. The list of speakers is: Daniel Kuhn (EPFL) Alois Pichler (TU Chemnitz) Ward Romeijnders (University of Groningen) Stein-Erik Fleten (NTNU) Ruben van Beesten (NTNU, Erasmus University Rotterdam) Participation is free of charge. Students can receive 5 EC upon completion of a short essay after the course. For more registration information, see the brochure .

Joint European Conference on Stochastic Optimization (ECSO) and Computational Management Science (CMS) 2027

August 25, 2026
The next joint European Conference on Stochastic Optimization (ECSO) and Computational Management Science (CMS) 2027 will be held at Lancaster University, UK, from 20–23 June 2027. The conference will bring together researchers and practitioners working on optimisation, and decision-making under uncertainty. We welcome contributions covering a broad range of topics, including (but not limited to): Stochastic programming Robust and distributionally robust optimisation Stochastic modelling and simulation–optimisation Combinatorial optimisation Exact and heuristic methods Machine learning for optimisation and decision-making Applications in transportation, finance, energy, healthcare, hospitality, marketing, and supply chain management The conference programme will include invited plenary lectures, invited and contributed sessions, tutorials, and a Best Student Paper Competition. A limited number of financial grants will be offered to support attendance of PhD Students, Early Career Researchers, and Delegates with Caring Responsibilities. Important dates Tutorial proposal deadline: 15 Dec 2026 Abstract submission deadline: 4 Feb 2027 Notification of acceptance: From date of submission to 11 Mar 2027 Travel grant application: 18 Mar 2027 Conference: 20–23 June 2027 Full details, including submission guidelines and registration information, are available on the conference website .