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 coordinating electrical loads within network constraints, or logistic processes on a shunting yard or 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 preferences and possibly 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.
- Dr Matthijs Spaan and Dr Neil Yorke-Smith have two openings for PhD positions on uncertainty in AI. The positions are part of the FET Open project Epistemic AI. The aim is to develop novel reinforcement learning and constraint programming algorithms under non-probailistic uncertainty. Deadline for applying is the end of February 2021.
- Mathijs de Weerdt and Matthijs Spaan have two openings for PhD positions in the AI4B.io project: one on smart plant scheduling with Dr. De Weerdt and one on reinforcement learning for a self-driving lab with Dr. Spaan. Deadline for application is March 15, 2021.
- Our group holds a number of openings for MSc projects for TU Delft students.
- If you're among the best students in your class (CS/AI/Maths) 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.
Research and Education for Master Students
01 november 2014
BNAIC Best Demo Award 2014 for Peter Novák
Peter Novák received the BNAIC Best Demo Award 2014 for his demonstration Enhancing Operational Work in Maritime Safety-and-Security Tasks.
01 juli 2014
Erwin Walraven received the Ngi-NGN Informatie Scriptieprijs 2014
Erwin Walraven received the Ngi-NGN Informatie Scriptieprijs 2014 for his thesis Traffic Flow Optimization using Reinforcement Learning.
20 juni 2014
Honorable Mention for the ICAPS 2014 Outstanding Paper Award
Frits de Nijs and Tomas Klos received an Honorable Mention for the ICAPS 2014 Outstanding Paper Award for their paper A Novel Priority...
20 juni 2014
Honorable Mention for the ICAPS Best Dissertation Award 2014
Leon Planken received an Honorable Mention for the ICAPS Best Dissertation Award 2014 for his thesis Algorithms for Simple Temporal Reasoning.
01 juni 2014
Nomination for the Science Award of the Erasmus Energy Forum 2014
Frits de Nijs, Mathijs de Weerdt, and Matthijs Spaan were nominated for the Science Award of the Erasmus Energy Forum 2014 with their paper Efficient...
Mathematics & Computer Science (EE)MCS
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