From October 25 to 29, the INFORMS Annual Meeting 2025 took place in Atlanta, Georgia (USA). Together with Prof. Stefan Minner, several members of the chair attended the conference. In addition to listening to inspiring keynotes and practical sessions, and networking with researchers from around the world, they also had the opportunity to present their latest research: 

Patrick Helm presented joint work with Prof. Stefan Minner and Prof. Gudrun Kiesmüller titled “Optimization of Multi-Product (R,S,Q) Spare Parts Inventory Policies Under Aggregate Service Level Constraints”. The presentation was part of the invited session „Emerging Technologies in Integrated Risk Management“ in the MSOM iForm Track, which was organized by Danko Turcic (University of California Riverside) and Ye Liu (Syracuse University).

Nicolas Kuttruff presented joint work with Golman Rahmanifar (Eindhoven University of Technology) and Mostafa Mohammadi (Norwegian University of Science and Technology) titled “Data-Driven Real-Time Online Platform Food Delivery Optimization: The Meituan Case.” The paper was nominated as a finalist in the first TSL Data-Driven Research Challenge and presented during the Award Session. The team developed a scalable continuous-time Markov decision process framework capturing order postponement, and behavioral variability in food delivery operations.

Yuxhuan Zhu presented his working paper titled “1+1>2-Adaptive Learning System for Human-AI Integrated Forecasting”, providing initial results on a promising method for integrating human and AI forecast results for better precision and efficiency.

Suri Liu presented „Stochastic Bilevel Optimization for the Network Design of Multimodal Transit Systems with Heterogeneous Rider Preferences under Uncertain Travel Times and Demand“, where a new single-level reformulation for addressing bilevel network design problem is proposed. The presentation was part of the invited session „Theory and Application in Stochastic Integer Programming.“