We bring together data and models to solve complex combinatorial optimisation problems. By tackling real-world problems in socio-technical situations, we gain fundamental insights into the complementary interplay of machine learning and model-based search.
We design scalable computational models using micro-simulation, behavioural and spatial data, and participatory modelling, to understand the trade-offs of policy interventions, particularly in urban settings.
Marc Droogh, MSc, graduated on "Optimising Topographical Pillar Placement for Thermal Heat Distribution with Artificial Intelligence"
Daniël van Gelder, MSc, graduated on "Real-Time Passenger Load Estimation using In-Vehicle Data"
Engineering Structures, "Long-Term Viscoelastic Deformation Monitoring of Concrete Dams: A Multi-Output Surrogate Model Approach for Parameter Identification"
STAR Lab director will speak at EurAI ACAI 2022 / TAILOR summer school
Dr Longjian Piao graduated on "Electricity Markets for Direct Current Distribution Systems"
SPARK'22 @ ICAPS 2022, "Predictive Maintenance Scheduling in Twice Re-entrant Flow Shops with Due Dates"
Dirk van Bokkem, MSc, graduated on "Economic Greenhouse Decision Support"
Yanyan Xu, TULIPS project
STAR Lab director will serve as Publications Co-chair for AAMAS 2023
ICAPS 2022, "Optimisation of Annual Planned Rail Maintenance" (journal abstract) (journal pdf)
Thomas Barendse, MSc, graduated on "Truck Routing for an Online Grocer"
ABMUS'22 @ AAMAS 2022, "No Hope for First-Time Buyers? Towards Agent-Based Market Analysis of Urban Housing Balance" (pdf)
ESICUP 2022, "A Machine Learning Approach for 3D Load Feasibility Prediction"
Dr Alexandru Babeanu, DCSE / TAILOR project
TRISTAN XI 2022, "A Data-driven Time-Dependent Routing and Scheduling for Activity-Based Freight Transport Modelling"
STAR Lab director will co-chair Data Science Meets Optimization workshop at IJCAI'22
ICT.OPEN 2022, "Stein Variational Gradient Descent for Deep Ensembles"
ICT.OPEN 2022, "Predictive Maintenance Scheduling in Twice Re-entrant Flow Shops with Due Dates"
ICAPS 2022, "Talking Trucks: Decentralized Collaborative Multi-Agent Order Scheduling for Self-Organizing Logistics"
Stefan de Vringer, MSc, graduated on "Offline-Online Reoptimization using a Hybrid Method"
Urban Planning, "Market-Led Urbanism and Geographic Crises: A Micro-Simulation Lens on Beirut" (pdf)
Yun Li, Brains for Buildings project
Dr Matthias Horn, Voestalpine project
Data-driven building optimisation