Welcome to the Algorithmics group, a section of the Department of Software Technology of the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology.
In the Algorithmics group, we aim to design, and understand fundamental properties of, planning and coordination algorithms for intelligent decision making in real world applications, such as for predictive maintenance scheduling, coordinating electrical loads within network constraints, or logistic processes on a container terminal. Apart from dealing with the inherent scalability challenge in such combinatorial domains, we work on two main research objectives. First, we aim to understand how to build predictive models from data that facilitate effective planning and scheduling algorithms dealing with uncertainty, for example to find robust solutions. Our second research objective is to understand how to effectively incorporate behaviour and preferences of stakeholders in the decision-making process.
To realize these objectives we focus on the following research topics:
- Model-based reinforcement learning: How to deal with uncertainty in planning?
- Multi-party optimization: How to account for strategic behaviour in multi‐actor planning?
- Constraint reasoning: How to support individual and group scheduling decisions?
- Meta-heuristics: What are effective general heuristic methods to support decisions taking into account different preferences?
We aim to apply these techniques in sectors such as logistics and transportation, energy, and maintenance. To realise these applications we pay attention to handling large amounts of available data as well as to the development of advanced algorithmic toolboxes based on generic methods and techniques.
- PhD position in a challenging project on algorithms for scheduling under uncertainty, and making these work for the Dutch Railways (NS)
- Our group holds a number of openings for MSc projects.
- If you're among the best students in your class (CS/AI/Math) and interested in obtaining your PhD by contributing to our mission (see above), please send an email to the professor you'd like to be your promotor indicating your topic/direction of interest.
From start to finish
07 October 2019
Team Automatoes reach final of Autonomous Greenhouse Challenge
03 April 2019
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04 December 2018
Delft AI meetup series launched
A series of monthly meetups on Artificial Intelligence has been launched at TU Delft. First meetup will take place on December 13. More information is available via https://www.meetup.com/Delft-AI-Meetup/.
29 June 2018
The ICAPS'18 and the CPAIOR'18 conference at the TU Delft have been a great success
The International Conference on Automated Planning and Scheduling (ICAPS) 2018 and the International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR) 2018 in Delft have been a great success. Thanks to everyone who helped us!
28 March 2018
Neil Yorke-Smith gave an invited talk at the STEP Conference 2018
Neil Yorke-Smith gave an invited talk at the STEP Conference 2018 on Citizenship in the Age of AI (news post at DDFV).
28 March 2018
Simon Mountakis defended his PhD thesis
Simon Mountakis defended his PhD thesis.
19 March 2018
Mathijs de Weerdt won the best poster award at ICT.OPEN 2018
Mathijs de Weerdt won the best poster award at ICT.OPEN 2018 with his work on Intention-Aware Routing for Electric Vehicles.
09 August 2017
PhD student Erwin Walraven released a software toolbox
PhD student Erwin Walraven released a software toolbox containing accelerated algorithms for solving Partially Observable Markov Decision Processes.
17 March 2017
PhD student Rens Philipsen was interviewed
PhD student Rens Philipsen was interviewed by the energiepodium.nl
08 December 2016
PhD student Gleb Polevoy has become doctor of the week.
PhD student Gleb Polevoy has become doctor of the week (defence December 6, 2016)
Mathematics & Computer Science (EE)MCS
Building 28 - Van Mourik Broekmanweg 6