[Photo of Neil Yorke-Smith]

Neil Yorke-Smith

Director, STAR Lab
Associate Professor, Algorithmics group
Electrical Engineering, Mathematics and Computer Science
Delft University of Technology
The Netherlands
 
n.yorke-smith at tudelft dot nl


 

Bio

Publications

Research

Team

Teaching

Contact


Potential MSc and PhD students are welcome to make contact by email.


News (2022)

  • Dec22: Seminar. Imperial College London, "Linear and Bi-Linear Mixed Integer Formulations of Graph Neural Networks"
  • Nov22: Award. Second place, KNVI/KIVI Scriptieprijzen voor Informatica en Informatiekunde
  • Oct22: Speaker. ELLIIT Focus Period Workshop on Hybrid AI, "Machine Learning to Accelerate Solving of Constraint Programs"
  • Oct22: Accepted paper. Flexible Services and Manufacturing, "Berth Planning and Real-Time Disruption Recovery: A Simulation Study for a Tidal Port" (pdf) open access
  • Oct22: Conference. Proceedings and Video Co-Chair for RecSys 2023 in Singapore
  • Oct22: Accepted paper. BNAIC 2022, "Machine Learning for the Cyclic Hoist Scheduling Problem" open access
  • Oct22: Accepted paper. BNAIC 2022, "Optimisation of Annual Planned Rail Maintenance" (journal abstract) (journal pdf) open access
  • Oct22: Participant. Dutch mission to UK on Smart Mobility and AI and Sustainability
  • Oct22: Doctoral student. Tilman Hinnerichs
  • Oct22: Accepted paper. IAAI 2023, "Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation" open access
  • Sep22: Accepted paper. NeurIPS 2022, "Learning to Branch with Tree MDPs" (preprint) open access
  • Sep22: Supervision. Wouter Morssink, MSc, graduated on "Automatically Designing Diverse Golf Course Routings"
  • Aug22: Lab. CaSET ELSA AI Lab website is live
  • Aug22: Supervision. Sterre Noorthoek, MSc, graduated on "Detecting Dish Types in Picnic Deliveries"
  • Aug22: Accepted paper. Annals of Mathematics and Artificial Intelligence, "Online Learning of Variable Ordering Heuristics for Constraint Optimisation Problems" (pdf) open access
  • Aug22: Supervision. Shixun Wu, MSc, graduated on "Fine-grained Scheduling of Real-Time Recurrent DAG Tasks upon Multiprocessor Platforms"
  • Aug22: Seminar. North Carolina State University, "Towards a Framework for Certification of Reliable Autonomous Systems"
  • Jul22: Supervision. Nikolaos Efthymiou, BSc, graduated from the honours programme
  • Jul22: Supervision. Daan Goslinga, MSc, graduated on "A Two-Stage 3D Bin Packing Algorithm for Groceries at Online Supermarket Picnic"
  • Jul22: Visitor. Tom Dietterich from Oregon State University
  • Jun22: Supervision. Sarah de Wolf, MSc, graduated on "A Machine Learning Approach for 3D Load Feasibility Prediction"
  • Jun22: Supervision. Marc Droogh, MSc, graduated on "Optimising Topographical Pillar Placement for Thermal Heat Distribution with Artificial Intelligence"
  • Jun22: Supervision. Daniël van Gelder, MSc, graduated on "Real-Time Passenger Load Estimation using In-Vehicle Data"
  • Jun22: Speaker. EurAI ACAI 2022 / TAILOR summer school 2022, "Reliable Autonomous Systems: Certification, Trust and Hybrid Intelligence"
  • Jun22: Accepted paper. Engineering Structures, "Long-Term Viscoelastic Deformation Monitoring of Concrete Dams: A Multi-Output Surrogate Model Approach for Parameter Identification" (pdf)
  • Jun22: Accepted paper. EURO 2022, "A Machine Learning Approach for 3D Load Feasibility Prediction"
  • Jun22: Lorentz Center participant. Rigorous Automated Planning (2022)
  • May22: Organiser. SIKS Advanced Course on "Machine Learning Meets Optimization"
  • May22: Supervision. Dr Longjian Piao graduated on "Electricity Markets for Direct Current Distribution Systems"
  • May22: Preprint. "Learning to Branch with Tree MDPs" (arxiv) open access
  • May22: Preprint. "Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens" (arxiv) open access
  • May22: Accepted paper. SPARK 2022 workshop at ICAPS'22, "Predictive Maintenance Scheduling in Twice Re-entrant Flow Shops with Due Dates" (pdf) open access
  • May22: Supervision. Dirk van Bokkem, MSc, graduated on "Economic Greenhouse Decision Support"
  • May22: Doctoral student. Yanyan Xu, TULIPS project
  • Apr22: Conference. Publication Co-Chair for AAMAS 2023 in United Kingdom
  • Apr22: Accepted paper. ICAPS 2022, "Optimisation of Annual Planned Rail Maintenance" (journal abstract) (journal pdf) open access
  • Apr22: Supervision. Thomas Barendse, MSc, graduated on "Truck Routing for an Online Grocer"
  • Apr22: Accepted paper. ABMUS 2022 workshop at AAMAS'22, "No Hope for First-Time Buyers? Towards Agent-Based Market Analysis of Urban Housing Balance" (pdf) open access
  • Apr22: Accepted paper. ESICUP 2022, "A Machine Learning Approach for 3D Load Feasibility Prediction"
  • Apr22: Postdoc. Dr Alexandru Babeanu
  • Mar22: Accepted paper. TRISTAN XI 2022, "A Data-driven Time-Dependent Routing and Scheduling for Activity-Based Freight Transport Modelling" (pdf) open access
  • Mar22: Lab. STAR Lab website is live
  • Mar22: Workshop. Co-chair of Data Science Meets Optimization workshop at IJCAI'22
  • Feb22: Accepted demonstration. ICT.OPEN 2022, "Stein Variational Gradient Descent for Deep Ensembles"
  • Feb22: Accepted poster. ICT.OPEN 2022, "Predictive Maintenance Scheduling in Twice Re-entrant Flow Shops with Due Dates"
  • Feb22: Accepted paper. ICAPS 2022, "Talking Trucks: Decentralized Collaborative Multi-Agent Order Scheduling for Self-Organizing Logistics" (pdf) open access
  • Jan22: Examination. PhD examiner for Chaminda Bulumulla, RMIT University
  • Jan22: Supervision. Stefan de Vringer, MSc, graduated on "Offline-Online Reoptimization using a Hybrid Method"
  • Jan22: Accepted paper. Urban Planning, "Market-Led Urbanism and Geographic Crises: A Micro-Simulation Lens on Beirut" (pdf) open access
  • Jan22: Doctoral student. Yun Li, Brains for Buildings project
  • Jan22: Postdoc. Dr Matthias Horn

News (previous years)


 


07nov22   ©2000-2022 N. Yorke-Smith  |  STAR Lab