Neil Yorke-Smith

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

 

Publications

Research

Team

Teaching

Contact

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

News (2021)

• Feb21: Teaching. New course Algorithms for NP-Hard Problems
• Jan21: Supervision. Eva Verboom, MSc, graduated on "Optimal Steel Temperature Control on the Run-Out Table"
• Jan21: Accepted paper. Learning Network Architecture During Training workshop at AAAI'21, "Training Integer-Valued Neural Networks with Mixed Integer Programming" (pdf)

News (2020)

• Dec20: Senior Member. Association for the Advancement of Artificial Intelligence
• Dec20: Accepted paper. AAAI 2021, "Maintenance of Social Commitments in Multiagent Systems"
• Dec20: Accepted paper. DSO 2020 workshop at IJCAI'20, "On Training Neural Networks with Mixed Integer Programming" (pdf)
• Dec20: Accepted paper. DSO 2020 workshop at IJCAI'20, "Towards Unsatisfiable Core Learning for Chuffed" (pdf)
• Nov20: Conference. Community and Diversity Co-Chair for IJCAI 2020 in Japan (virtual)
• Nov20: Award. Best Student Paper at BNAIC'20
• Oct20: Accepted paper. Journal of Artificial Societies and Social Simulation, "Agent-Based Simulation of West Asian Urban Dynamics: Impact of Refugees"
• Oct20: Grant. EU Horizon 2020, "Epistemic AI"
• Oct20: Accepted paper. Constraints, "A New Constraint Programming Model and Solving for the Cyclic Hoist Scheduling Problem" (pdf)
• Oct20: Accepted paper. BNAIC 2020, "Cooperation in Harsh Environments: The Effects of Noise in Iterated Prisoner's Dilemma" (pdf)
• Sep20: Accepted paper. Energy, "Electricity Markets for DC Distribution Systems: Locational Pricing Trumps Wholesale Pricing" (pdf)
• Sep20: Supervision. Thomas Puppels, MSc, graduated on "An Investigation into Predict-and-Optimize Machine Learning"
• Sep20: Doctoral student. Eghonghon Eigbe, SAM-FMS project
• Sep20: Accepted paper. KEPS 2020 workshop at ICAPS'20, "NLtoPDDL: One-Shot Learning of PDDL Models from Natural Language Process Manuals" (pdf)
• Sep20: Supervision. Koen Snel, MSc, graduated on "Predicting Buckling and Plasticity of Finite Element Models Using Machine Learning"
• Sep20: Preprint. "On Training Neural Networks with Mixed Integer Programming" (arxiv)
• Sep20: Accepted paper. Autonomous Agents and Multi-Agent Systems, "Towards a Framework for Certification of Reliable Autonomous Systems" (pdf)
• Sep20: Conference. Novel Applications Track Co-Chair for ICAPS 2021 in China
• Aug20: Supervision. Floris Doolaard, MSc, graduated on "Deepification: Learning Variable Ordering Heuristics in Constraint Optimization Problems"
• Aug20: Speaker. STEP Anywhere 2020, "Growing Tomatoes with Artificial Intelligence"
• Aug20: Book. Delftse Foundations of Computation v1.2 released
• Aug20: Accepted paper. PTHG 2020 workshop at CP'20, "Towards Unsatisfiable Core Learning for Chuffed" (pdf)
• Jul20: Supervision. Ronald van Driel, MSc, graduated on "Unsatisfiable Core Learning for Chuffed"
• Jul20: Supervision. Jaap-Jan van der Steeg, MSc, graduated on "Berth Planning and Disruption Recovery: A Simulation Approach"
• Jul20: Supervision. Kaan Yilmaz, MSc, graduated on "Learning Efficient Search Approximation in Mixed Integer Branch and Bound"
• Jul20: Supervision. Tomas Þorbjarnarson, MSc, graduated cum laude on "Training Neural Networks with Discrete Optimization Solvers"
• Jul20: Preprint. "Learning Efficient Search Approximation in Mixed Integer Branch and Bound" (arxiv)
• Jul20: Supervision. Rukai Yin, MSc, graduated on "Applying Machine Learning to Learn System Dynamics Models for Urban Systems"
• Jun20: Supervision. Dennis van Peer, MSc, graduated on "Dynamically Pricing Tickets for Cultural Venues"
• Jun20: Accepted paper. INDIN 2020, "Towards Optimal Demand-Side Bidding in Parallel Auctions for Time-Shiftable Electrical Loads" (pdf)
• Jun20: Competition. Team Automatoes won the final of the Autonomous Greenhouses International Challenge 2020
• May20: Open position. PhD position "Constraint Based Real-Time Scheduling for Manufacturing Systems"
• May20: Doctoral student. Lara Scavuzzo, OPTIMAL project
• Apr20: Conference. Co-Chair for IAAI 2021 in Canada (virtual)
• Apr20: Editorial Board. Autonomous Agents and Multi-Agent Systems
• Mar20: Lorentz Center participant. Rigorous Automated Planning
• Mar20: Grant. EU Horizon 2020, "Foundations of Trustworthy AI -- Integrating Reasoning, Learning and Optimization" (TAILOR)
• Feb20: Accepted poster. ICT.OPEN 2020, "Combined Heat and Power Markets by Double-Sided Auction Mechanisms"
• Jan20: Accepted paper. CPAIOR 2020, "A New Constraint Programming Model and Solving for the Cyclic Hoist Scheduling Problem" (abstract | pdf)
• Jan20: Preprint. "Towards a Framework for Certification of Reliable Autonomous Systems" (arxiv)
• Jan20: Supervision. Lara Scavuzzo, MSc, graduated cum laude on "Learning Variable Selection Rules for the Branch-and-Bound Algorithm via Reinforcement Learning"

News (previous years)