Complex and challenging decisions: the STAR Lab team explores trustworthy fundamental AI to help people make better decisions in situations from sustainable logistics, to robust planning under uncertainty, to fair energy markets.
Complex and challenging decisions: the STAR Lab team explores trustworthy fundamental AI to help people make better decisions in situations from sustainable logistics, to robust planning under uncertainty, to fair energy markets.
Sustainable terminal services
Optimisation
Uncertainty
Simulation
Data-driven building optimisation
Uncertainty
Optimisation
Dr Roland Saur graduated on "Multi-Dimensional Flexibility Integration: Practical and conceptual challenges"
MLxOR 2026 workshop at NeurIPS'26, "RELAGRAM: Recursive Latent Graph Model for the Capacitated Vehicle Routing Problem"
BNAIC 2026, "Modelling Partial Recharging in the EVRPTW: Solution Quality versus Computational Complexity"
BNAIC 2026, "Direct Feature-to-Decision Learning for Contextual Combinatorial Optimization"
Wouter Breedveld, MSc, graduated on "Scheduling Airport Ground Support Equipment"
Lennard Timp, MSc, graduated on "Preference-Guided Metaheuristics for Highly Constrained Multi-Objective Decision Problems"
ITEC-AP 2026, "Energy Management System for Heavy-Duty EV Charging Stations with Dynamic Grid Envelopes"
Miguel Duarte de Antas de Barros, MSc, graduated on "Adaptive Migration Topology Control in Island Models Using Reinforcement Learning"
Developments in the Built Environment, "Toward Intelligent Construction: AI-Driven Autonomous Monitoring of Fresh Concrete Flow Behaviour" (pdf)
STAR Lab Director will serve as Chair for LION 2027 in Spain
Applied Energy, "Planning Highway Charging Networks for Heavy-Duty Electric Vehicles: From Network Design to Station-Level Charging Profiles" (pdf)
Sie Leoi Lee, MSc, graduated on "Probabilistic Forecasting of Cockpit Crew Reserves Demand: A time series approach"
"Solving Highly Constrained Multi-Objective Decision Problems with Preference-Guided Metaheuristics: The IMAP-IGS framework" (arxiv)
Andreas Maniatis, MSc, graduated on "Reactive Scheduling Strategies for Advanced Aircraft Engine Parts Repair"
STAR Lab Director will co-chair a SIKS Advanced Course on "Machine Learning Meets Optimization"
Cristian Turca, BSc, graduated from the honours programme
Ioana-Roxana Băcălie, MSc, graduated on "Robust Satellite Constellation Optimisation"
hEART 2026, "A Bayesian Multi-Source Data Fusion Approach to Mitigate Spatiotemporal Uncertainties in Traffic Accident Records"
Jasper Heijne, MSc, graduated on "Beyond Static Parameters: Adaptive Simulated Annealing in Practice"
Marco Bak, MSc, graduated on "Anomaly Detection in Geostationary Satellites"
DSO 2026 workshop at IJCAI'26, "Scalable Decision-Focused Learning through Cost-Sensitive Regression" (preprint)
WSC 2026, "Dynamic Simheuristics for Stochastic Job Shop Scheduling Problems"
Stefan Stoian, BSc, graduated from the honours programme
