IJCLR 2024, "Benchmarking in Neuro-Symbolic AI"
Mathematical Programming, "Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming" (pdf)
Michel Woo, MSc, graduated on "A Hybrid Genetic Search Approach to Optimizing Last-Mile Vehicle Routing"
Siddhartha Sen, MSc, graduated on "Golf Course Routing Using Artificial Intelligence"
Vincent Bockstael, MSc, graduated cum laude on "Spectral Modularity: Conceptual Challenges, Algorithmic Enhancements and Systematic Benchmarking"
Martin Michaux, MSc, graduated on "A Scalable Knowledge Graph-Powered System for Multi-Document Query-Answering"
Lars van Koetsveld van Ankeren, MSc, graduated cum laude on "Real-time Monitoring of Building Energy Systems"
Bertold Kovacs, BSc, graduated from the honours programme
Yehor Kozyr, BSc, graduated from the honours programme
ITEC 2024, "Multiobjective System Sizing for Heavy-Duty Electric Vehicle Charging Stations"
Jeroen Groenheide, MSc, graduated on "On Learning for Node Selection in the Branch-and-Bound Algorithm using Reinforcement Learning"
Octav Pocola, MSc, graduated on "Optimal Battery Sizing and Control in a Stacked Revenue Model Incorporating a Renewable Energy Community"
EWRL 2024, "Epistemic Bellman Operators"
SMS 2024, "Enhancing Predictions for Self-Compacting Mortar Properties with Multilayer Perceptron and Data Augmentation"
Tim Huisman, MSc, graduated on "Algorithmic Solutions for Improved Carrier-Shipper Matching in a Competitive Transport Marketplace"
Luca Cras, MSc, graduated on "Evaluating the Impact and Opportunities of Physics-Informed Machine Learning on the Task of Greenhouse Humidity Prediction"
INFORMS Journal on Computing, "Multi-Objective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks" (pdf)
Isa Rethans, MSc, graduated on "Predictive Analysis and Key Drivers for PostNL's Cost Per Package"
Joost Commandeur, Shell e-Mobility
TRC-30 symposium, "Psychological Factors in Travel Behaviour Interpretation with Social Media Data"
DSO 2024 workshop at IJCAI'24, "Neural Decision Diagrams for Job Shop Scheduling"
ISMP 2024, "Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming" (journal pdf)
ISMP 2024, "Slimming Down and Beefing Up: Multi-Objective Optimization and Training for Few-Bit Neural Networks"
STAR Lab director will speak at TILTing Perspectives 2024 panel on "Values for an Energy Sector in Transition"
Yoshi van den Akker, MSc, graduated on "Creating New Train Timetables in Case of Disruptions"
Sven van der Voort, MSc, graduated on "Sketch-Based Optimisation for Distribution Grid Expansion Planning"
hEART 2024, "Exploring the Impact of Deceleration Rates on Traffic Incident Probability: A Case Study of Motorways in the Netherlands"
EURO XXXIII, "Simultaneous Training and Optimization of Few-Bit Neural Networks through a Multi-Objective MILP"
IJCAI 2024, "Robust Losses for Decision-Focused Learning" (pdf)
Real Estate, "An Agent-Based Market Analysis of Urban Housing Balance in the Netherlands" (pdf)
Wantong Zhang, MSc, graduated on "Crowd Risk Assessment in Scheveningen: Exploring the role of crowd and contextual factors"
CPAIOR 2024, "On Learning CP-SAT Resolution Outcomes Before Reaching Time-Limit"
STAR Lab director elected to IFAAMAS Board of Directors
Simon Mariën, MSc, graduated on "Multi-Objective Differential Evolution Optimization of Ion Beam Analysis Spectra"
Kylian Kropf, MSc, graduated on "Supporting Non-Expert Users in Modelling and Understanding AI: An interactive CP approach"
ALA 2024 workshop at AAMAS'24, "Bayesian Ensembles for Exploration in Deep Q-Learning (pdf)
e-Energy 2024, "Incentives for Accurate Energy Predictions: How to Reduce Epistemic Uncertainty" (pdf)
Computers & Chemical Engineering, "Mixed-integer Optimisation of Graph Neural Networks for Computer-Aided Molecular Design" (pdf)
ECC 2024, "Robust Optimal Control With Binary Adjustable Uncertainties" (pdf)
CPAIOR 2024, "Improving Metaheuristic Efficiency for Stochastic Optimization Problems by Sequential Predictive Sampling" (pdf)
STAR Lab Director will co-chair Data Science Meets Optimization workshop at IJCAI'24
Wytze Elhorst, MSc, graduated on "Exploring the Multi-Objective Dial-A-Ride Problem: An Analysis of Genetic Algorithms and MIP"
International Shipbuilding Progress, "Multi-Fidelity Kriging Extrapolation Together with CFD for the Design of the Cross-Section of a Falling Lifeboat" (pdf)
AAMAS 2024, "Bayesian Ensembles for Exploration in Deep Q-Learning" (pdf)
Marvin Kleijweg, MSc, graduated on "Encouraging Circular Wood-Based Building Practices in Amsterdam"
PhD position "Reinforcement learning for sustainable logistics"
Lucas Veeger, MSc, graduated on "CCS Reservoir Simulation using Graph Neural Networks"
Transportation Research Board Part C, "A Data-driven Time-Dependent Routing and Scheduling for Activity-Based Freight Transport Modelling" (pdf)
Katja Schmahl, MSc, graduated on "Railway Maintenance Scheduling"
NEXT'23, "RSimGNN for long-term CO2 saturation predictions for CCS Reservoir Simulation"
Mahsa Movaghar joins the STAR Lab
Zhongbo Yao, MSc, graduated on "Optimization of Strawberry Supply Chain from the Perspective of Producers"
IEEE Access, "Sequence- and Time-dependent Maintenance Scheduling in Twice Re-entrant Flow Shops" (pdf)
Robin Oosterbaan, MSc, graduated on "Determining the Optimal Route for a Tethered Manure Applying Robot"
Gautham Venkataraman, MSc, graduated on "Reduce, Reuse, Recycle: On exploration of solution reuse in VRPTW"
Angelos Zoumis, MSc, graduated on "How Can the Behaviour of Specialized Heuristic Solvers Assist Constraint Solvers for Optimization Problems?"
Artificial Intelligence, "Maintenance Commitments: Conception, Semantics, and Coherence" (pdf)
EWRL 2023, "Bayesian Deep Q-Learning via Sequential Monte Carlo" (pdf)
CDC 2023, "Unlocking Energy Flexibility From Thermal Inertia of Buildings: A Robust Optimization Approach" (pdf)
Koen du Buf, MSc, graduated on "Model Stacking Performance Comparisons for Lifetime Estimation of CMOS ICs"
Robert Wenink, MSc, graduated on "Multi-Fidelity Kriging Extrapolation"
Joaquin van Loon, MSc, graduated on "Short-Term Vessel Trajectory and Manoeuvre Prediction"
Pascal van der Vaart, Best Poster, ELLIS Unit Delft poster day
Casper Pennings, MSc, graduated on "Scheduling a Flexible Manufacturing System: A reinforcement learning based approach"
Tilburg University, "Trustworthy, Just and Fair AI-enabled Energy Systems"
Leila Ashkezari
ICAPS 2023, "Online Learning of Variable Ordering Heuristics for Constraint Optimisation Problems" (journal abstract) (journal pdf)
STAR Lab hosts Ambrogio Bernardelli and Simone Milanesi (Pavia)
MABS 2023 workshop at AAMAS'23, "Adaptive Parallelization of Multi-Agent Simulations with Localized Dynamics" (preprint)
LION 2023, "Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens" (preprint)
Journal of Air Transport Management, "Fleet Planning Under Demand and Fuel Price Uncertainty Using Actor-Critic Reinforcement Learning" (pdf)
IFAC 2023, "Robust Optimal Control With Inexact State Measurements and Adjustable Uncertainty Sets"
MT-ITS 2023, "Augmenting Ridership Data with Social Media Data to Analyse the Long-term Effect of COVID-19 on Public Transport"
ICAPS 2023, "Solving the Multi-Choice Two Dimensional Shelf Strip Packing Problem with Time Windows" (pdf)
ICAPS 2023, "Parallel Batch Processing for the Coating Problem" (pdf)
Sami Ullah
PLOS ONE, "Optimal Training of Integer-Valued Neural Networks with Mixed Integer Programming" (pdf)
CPAIOR 2023, "Predicting the Optimal Period for Cyclic Hoist Scheduling Problems" (pdf)
STAR Lab Director joins the editorial board of Urban Planning
STAR Lab Director will serve as Area Chair for ECAI 2023
AAMAS 2023, "Fair Pricing for Time-Flexible Smart Energy Markets" (pdf)
Tom McDonald, MSc, graduated on "Mixed Integer (Non-)Linear Programming Formulations of Graph Neural Networks"
Imperial College London, "Linear and Bi-Linear Mixed Integer Formulations of Graph Neural Networks"
STAR Lab Director will serve as General Co-Chair for BNAIC/BeNeLearn 2023
Dirk van Bokkem, MSc, takes second place of the 2022 KNVI/KIVI Scriptieprijzen voor Informatica en Informatiekunde
STAR Lab Director will speak at the ELLIIT Focus Period Workshop on Hybrid AI
Flexible Services and Manufacturing, "Berth Planning and Real-Time Disruption Recovery: A Simulation Study for a Tidal Port" (pdf)
BNAIC 2022, "Machine Learning for the Cyclic Hoist Scheduling Problem" (pdf)
STAR Lab Director will serve as Proceedings and Video Co-Chair for RecSys 2023
BNAIC 2022, "Optimisation of Annual Planned Rail Maintenance" (journal abstract) (pdf)
Tilman Hinnerichs
IAAI 2023, "Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation" (pdf)
NeurIPS 2022, "Learning to Branch with Tree MDPs" (pdf)
Wouter Morssink, MSc, graduated on "Automatically Designing Diverse Golf Course Routings"
Sterre Noorthoek, MSc, graduated on "Detecting Dish Types in Picnic Deliveries"
Annals of Mathematics and Artificial Intelligence, "Online Learning of Variable Ordering Heuristics for Constraint Optimisation Problems" (pdf)
Shixun Wu, MSc, graduated on "Fine-grained Scheduling of Real-Time Recurrent DAG Tasks upon Multiprocessor Platforms"
North Carolina State University, "Towards a Framework for Certification of Reliable Autonomous Systems"
Nikolaos Efthymiou, BSc, graduated from the honours programme
STAR Lab hosts Tom Dietterich (OSU)
Daan Goslinga, MSc, graduated on "A Two-Stage 3D Bin Packing Algorithm for Groceries at Online Supermarket Picnic"
Sarah de Wolf, MSc, graduated on "A Machine Learning Approach for 3D Load Feasibility Prediction"
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"
EURO 2022, "A Machine Learning Approach for 3D Load Feasibility Prediction"
Engineering Structures, "Long-Term Viscoelastic Deformation Monitoring of Concrete Dams: A Multi-Output Surrogate Model Approach for Parameter Identification" (pdf)
STAR Lab director will speak at the 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" (pdf)
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" (pdf)
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" (pdf)
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