I want to understand intelligence by building it.
I study reinforcement learning methods that mimic human and animal learning. I am currently working on Explainability, Cooperation in Multi-Agent Reinforcement Learning, and Generalization in Model-Based Reinforcement Learning. Click here for our group page

PhD Students

  1. Tyron Offerman (PhD) Business Capabilities (with Joost Visser and Christoph Stettina) 2016-
  2. Danyi Liu (PhD) Interaction models for participatory musing using mobile devices (with Fons Verbeek) 2016-
  3. Daniela Gawehns (PhD) Social networks and elderly care (with Matthijs van Leeuwen) 2018-
  4. Yuchen Lian (PhD) Natural Language Learning (with Tessa Verhoef and Arianna Bisazza) 2019-
  5. Casper Gyurik (PhD) Quantum Algorithms (with Vedran Dunjko) 2019-2023
  6. Lincen Yang (PhD) iModel (with Matthijs van Leeuwen) 2019-2023
  7. Mingrui Lao (PhD) Visual Question Answering (with Michael Lew) 2019-2023
  8. Andrius Bernatavicius (PhD) Deep Reinforcement Learning for RNA (with Wojtek Kowalczyk and Gerard van Westen) [RLG] 2020-
  9. Matthias Müller-Brockhausen (TPhD) Transfer Learning with Procedural Content Generation (with Mike Preuss) [RLG] 2020-
  10. Zhao Yang (PhD) Transfer Learning and Reinforcement Learning (with Mike Preuss and Thomas Moerland) [RLG] 2020-
  11. Michiel van der Meer (PhD) Deliberation in Hybrid Intelligence (with Catholijn Jonker, Pradeep Murukannaiah, Piek Vossen) [RLG] 2020-
  12. Hanjo Boekhout (PhD) Mining patterns in Temporal Networks, with applications in Scientific Collaboration and Dark Web Networks (with Frank Takes and Walter Kosters) 2020-
  13. Amin Abolghasemi (PhD) Natural Language Document Retrieval (with Suzan Verberne and Leif Azzopardi) 2021-
  14. Mike Huisman (TPhD) Meta-Learning (with Jan van Rijn and Thomas Moerland) [RLG] 2021-
  15. Alan Hassen (PhD) Advanced machine learning for Innovative Drug Discovery (with Mike Preuss and Djork-Arne Clevert) [RLG] 2021-
  16. Annie Wong (PhD) Multi-agent Reinforcement Learning (with Anna Kononova and Thomas Bäck) 2021-
  17. Andreas Sauter (PhD) Causal Reinforcement Learning [RLG] (with Erman Acar and Frank van Harmelen) 2021-
  18. Felix Frohnert (PhD) Quantum Reinforcement Learning (with Evert van Nieuwenburg and Vedran Dunjko) 2022-
  19. Marianne Bossema (PhD) Smart Musical Instruments for Therapy (with Rob Saunders and Somaya Ben Allouch) 2023-
  20. Bernhard Hilpert (PhD) Closing the teacher-learner loop: the role of affective signals in interactive reinforcement learning (with Joost Broekens and Kim Baraka) 2023-

Active Projects

  • Sustainable Energy Learning Lab
    People: Aske Plat, Thomas Moerland, Detlef Hohl, Christian Michler, Gosia Kaleta, Kapil Mathur
    In the Sustainable Energy Learning Lab we develop reinforcement learning algorithms that optimize decision making in sustainable energy applications. Renewable energy sources inevitably have strong variation in their production profiles. The sun does not always shine, the wind does not always blow. On the other hand, users expect energy supply when they need it, ideally at the lowest possible cost. The energy market of the future will therefore be filled with intelligent decision-makers. The lab focuses its research on deep reinforcement learning algorithms, where we optimize behaviour through trial and error. The main benefits of deep RL are 1) its ability to learn from data and detect complex patterns, while 2) the relative ease in which we can specify objective (through a reward function). This implies we may eventually outperform human experts on certain decision-making tasks. Deep reinforcement learning has in recent years shown breakthrough empirical performance, especially in games, for example beating the human world champion in the game of Go. The mission of the lab is to transfer these results to the real world, in the domain of sustainable energy, where AI could have a big societal impact. The lab will work on real world problems with real world data.
    People: Joost Batenburg, Mischa Hautvast, Tessa Verhoef, Felienne Hermans, Boudewijn Lelieveldt, Serge Rombouts, Karsten Lambers, Iris Wuisman, Imre Schuurmans, Bart Custers, Gerard van Westen, Bram Klievink, Aske Plaat
    SAILS is the university wide research program of Leiden University for AI, Social Science, and Life Science. Every Faculty of the University participates. The focus is on topics and algorithms in Imaging, Language, Reasoning, Interaction, Life Science, Health, Law, Governance, Ethics, Archeology and Behavior.
    Funding: University Leiden 2020-2023
  • Hybrid Intelligence
    People: Catholijn Jonker, Piek Vossen, Pradeep Murukanniah, Aske Plaat
    Perspectives in Deliberation. As part of the Gravitation program Hybrid Intelligence this project combines reasoning and natural language processing to study deliberation processes and strategic behavior in society.
    Funding: NWO 2020-2030
  • Quantum Software Consortium 
    People: Vedran Dunjko, Carlo Beenakker, Dirk Bouwmeester, Harry Buhrman, Ronald Cramer, Ronald Hanson, Ronald de Wolf, Stephanie Wehner, Marcello Bonsangue, Aske Plaat
    The ministry for Education, Culture and Science has awarded a Gravitation grant for large-scale research on quantum software. This grant of 18.8 million euro unites researchers from QuSoft, CWI, Leiden University, QuTech, TU Delft, UvA and the VU in pursuing state of the art research programs in this new field. LIACS performs research into Quantum Machine Learning.
    Funding: NWO 2017-2027

Past Projects

  • Quantum Annealing Optimization Algorithms
    People: Sheir Yarkoni, Florian Neukart, Thomas Bäck, Aske Plaat
    Industry-relevant optimization problems may have many different forms, for example: continuous, stochastic, high-dimensional, and more. However, commercial quantum annealers can currently only solve QUBO problems, so problems need to be posed to the annealer in this form. Since finding an optimal transformation to QUBO is an NP-hard problem in itself, discovering efficient ways of generating QUBO forms for generic optimization problems is the first step in this research. We will also study Evolutionary Algorithms and Quantum Annealing.
    Funding: LIACS & DWAVE 2017-2022
  • Making Sense of Illustrated Handwritten Archives
    People: Michiel Thijssen, Ernest Suyver, Maarten Heerlien, Lambert Schomaker, Lissa Roberts, Jaap van den Herik, Andreas Weber, Fons Verbeek, Michael Lew, Katy Wolstencroft, Lise Stork, Aske Plaat
    Large and important parts of our cultural heritage are stored in archives that are difficult to access.  The project aims to develop a technologically advanced and user-centered digital environment that provides access to archives containing handwritten notes and illustrations.
    Funding: NWO Creative Industries and Brill Publishers, 2016-2020
  • Grip on Software
    People: Leon Helwerda, Aske Plaat, Fons Verbeek, Jeroen van der Leije, Frank Niessink
    How can we further streamline the development of software for the government? Leiden University and ICTU are to investigate this in a joint research project that was launched on 6 July 2016. The Dutch government uses a lot of software – DigiD, for instance, or software to open and close bridges automatically. Much of that software is developed by ICTU, a Dutch government organization that helps other government institutions in the realisation of digital services.
    Funding: ICTU, 2016-2020
  • The Computer Science challenge of calibrating the ionosphere over the SKA sky
    People: Alexandar Mechev, Huub Röttgering, Huib Intema, Todor Stefanov, Aske Plaat
    The ICT challenges faced by the SKA project are formidable. One of the hardest problems is how to calibrate the ionosphere to the level required by the science. The focus of this project is to build an ionospheric calibration software test-bed with which we will (i) investigate the complexity of the existing algorithms in space and time, (ii) identify bottlenecks that prevent scaling to larger data volumes, (iii) study how to modify an/or replace (parts of) the existing algorithms to overcome malicious scaling, (iv) design, implement and test such modifications or replacements.
    Funding: DOME and NWO Netherlands Science Foundation, 2015-2019
  • Efficient Dependable Space-Borne Computing through Advanced Reconfigurability Concepts
    People: Giorgio Magistrati, Gianluca Furano, Marco Rovatti, Christian Fuchs, Todor Stefanov, Aske Plaat
    A spacecraft’s on-board computer (OBC) and all involved supporting components must perform a growing number of tasks within an increasingly complex system. OBCs must therefore assure consistency of both stored data and system logic at all times during the mission, providing saving and recovery mechanisms. However, hardware-side error detection and correction (EDAC) measures decline in efficiency for modern highly-scaled components due to diminishing returns when compensating with more hardware EDAC.
    Funding: ESA, 2016-2020
    People: Jos Vermaseren, Jaap van den Herik, Aske Plaat, Franz Herzog,  Ali Mirsoleimani, Mathias Ritzmann, Ben Ruijl, Takahiro Ueda
    Topic: The goal of HEPGAME is to solve significantly larger High Energy Physics data sets than is currently possible by using a new class of stochastic, non-heuristic, satisficing algorithms that emerged recently in combinatorial search.
    Funding: Advanced Grant European Research Council. (press-release), 2013-2018
  • Virtual Reality Aggression Prevention Training
    People: Wim Veling, Stefan Bogaerts, Catholijn Jonker, Aske Plaat
    Psychiatric forensic inpatients are frequently victim of aggressive behavior by fellow patients, as well as perpetrators of aggression. In this study, a Virtual Reality Aggression Prevention Training (VRAPT) is developed. VRAPT offers an interactive three-dimensional virtual ‘real-life’ world in which social situations and interactions can be experienced and practiced.
    Funding: NWO Netherlands Science Foundation, 2015-2017

 Grants, Honors, Awards

  • Sustainable Energy Learning Lab. 2022, 1.6M
  • LIACS initiated the University wide SAILS program for Social Science, Artificial Intelligence, and Life Science. 2019, 5.4M
  • LIACS participates in the Hybrid Intelligence Center that received a 10 year Gravitation grant in 2019, 19M
  • LIACS participates in the Ethics of Socially Disruptive Technology project that received a 10 year Gravitation grant in 2019, 17.9M
  • LIACS participates in the Quantum Software Consortium that received a 10 year Gravitation grant in 2017, 18.8M
  • LIACS initiated the University wide Data Science Research Program. 2016, 4M
  • ERC Advanced Grant for the 5 year HEPGAME project (co-author) 2012, 1.7M
  • NWO Medium Equipment Grant: Little Green Machine II (co-author) 2016, 0.5M
  • ICTU Data Mining & Software Engineering (author), 2016, 0.3M
  • NWO Grant Creative Industries: Making Sense of Handwritten Archives (co-author) 2015, 0.9M.
  • NWO Grant VRAPT:  Virtual Reality Aggression Prevention Training (co-author) 2014, 0.7M.
  • KNAW Royal Netherlands Academy of Arts and Sciences evening of science and society, scientific co-host, 2012.
  • Novag Award for the best computer chess publication (author) 1996.
  • Champion Dutch Open Computer Chess Championship for MIT’s chess program Cilkchess (co-author) 1996.

Professional Service

  • Member of the Computer Systems ASCI research school, 2014-
  • Member of the board of the national research school for Artificial Intelligence SIKS, 2016-
  • Member of the national Computer Science Platform IPN, 2016-
  • Member of the PRACE Access Committee, 2016
  • General Chair of the 9th International Conference on Computers and Games 2016, July, 2016, Leiden, the Netherlands
  • Guest-editor Theoretical Computer Science, 2016
  • eScience Integrator at the Netherlands eScience Center, 2015-2018
  • Deputy-Editor of the Journal of the International Computer Games Association, 2011-2015
  • General Chair of the 14th International Conference Advances in Computer Games 2015, July 1-3, 2015, Leiden, the Netherlands
  • Deputy-chair Exam-committee Cyber Security Academy The Hague, 2014-
  • Chair of Symposium Teamwork and Software Quality, October 4, 2013, Tilburg, the Netherlands.
  • Co-chair of 8th International Conference on Computers and Games 2013, August 13-15, 2013, Yokohama, Japan
  • General Chair of RWBIC12 Rijk met Wetenschap: Bestuur is Informatie Conferentie June 7, 2012, Tilburg, the Netherlands
  • Co-chair of 13th International Conference Advances in Computer Games 2011, Nov 20-22, 2011, Tilburg, the Netherlands
  • Co-chair of 7th International Conference on Computers and Games 2010, Sept 24-26, 2010, Kanazawa, Japan
  • External Member of the Advisory Council for Computer Science Education at the Faculty of Science, VU Amsterdam, 2007-2011

Reviewer/Program Committee Member for

  • International Joint Conference on Artificial Intelligence (IJCAI)
  • European Conference on Artificial Intelligence (ECAI)
  • Science
  • ACM Computing Surveys
  • Theoretical Computer Science (TCS)
  • IEEE Transactions on Cybernetics (SMC)
  • IEEE Transactions on Circuits and Systems II
  • Artificial Intelligence (AIJ)
  • Knowledge Discovery and Data Mining (KDD)
  • IEEE eScience
  • Journal of Autism and Developmental Disorders (JADD)
  • Journal of Parallel and Distributed Computing (JPDC)
  • High Performance Distributed Computing (HPDC)
  • International Symposium for Parallel Processing (IPPS)
  • IEEE International Conference on Computer Languages (ICCL)
  • International Symposium on High Performance Computing (HPCS)
  • National Conference on Artificial Intelligence (AAAI)
  • Stichting Informatica Onderzoek Nederland (SION)
  • Journal of the International Computer Games Association (ICGA)
  • Computers and Games (CG)
  • Advances in Computer Games (ACG)
  • Netherlands Organization for Scientific Research (NWO)
  • International Joint Conferences on Ambient Intelligence

MTD(f) Algorithm

PhD promotions

  1. Mohamed Tleis “Image analysis for Gene Expression based Phenotype Characterization in Yeast Cells“, 6 July 2016, Leiden. Promotores: Thomas Bäck and Aske Plaat. Co-promotor: Fons Verbeek
  2. Ben Ruijl Advances in computational methods for Quantum Field Theory calculations“, 2 November 2017, Leiden. Cum Laude. Promotores: Aske Plaat, Jaap van den Herik. Co-promotor: Jos Vermaseren
  3. Esther Kuindersma Cleared for take-off: Game-based learning to prepare airline pilots for critical situations, 24 October 2019, Leiden. Promotores: Aske Plaat, Jaap van den Herik. Co-promotor: Jelke van der Pal
  4. Alexandar Mechev Orchestration of Distributed LOFAR Workflows, 9 December 2019, Leiden. Promotores: Aske Plaat and Huub Röttgering. Co-promotor: Raymond Oonk. 
  5. Christian Fuchs Fault-Tolerant Satellite Computing with Modern Semiconductors, 17 December 2019, Leiden. Promotor: Aske Plaat
  6. Hongchang Shan “Towards High Performance and Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods“, 25 February 2020, Leiden. Promotores: Todor Stefanov and Aske Plaat
  7. Ali Mirsoleimani Structured Parallel Programming for Monte Carlo Tree Search”, 17 June 2020, Leiden. Promotores: Aske Plaat, Jaap van den Herik. Co-promotor: Jos Vermaseren
  8. Thomas Moerland The Intersection of Planning and Learning“, 10 March 2021, TU Delft. Promotores: Catholijn Jonker and Aske Plaat. Co-promotor: Joost Broekens
  9. Lise Stork Knowledge Extraction from Archives of Natural History Collections, 1 July 2021, Leiden. Promotores: Aske Plaat and Fons Verbeek. Co-promotor: Katy Wolstencroft
  10. Hui Wang “Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning“, 7 September 2021, Leiden. Promotores: Michael Emmerich and Aske Plaat. Co-promotor: Mike Preuss
  11. Wei Chen “Exploring Deep Learning for Intelligent Image Retrieval“, 13 October 2021, Promotores: Michael Lew and Aske Plaat
  12. Nan Pu “Exploring Open-World Visual Understanding with Deep Learning“, 8 December 2022, Promotores: Michael Lew and Aske Plaat
  13. Dave Stikkolorum “Studies into Interactive Didactic Approaches for Learning Software Design Using UML”, 14 December 2022, Promotores: Michel Chaudron and Aske Plaat. Co-promotor: Peter van der Putten 
  14. Sheir Yarkoni “Applications of quantum annealing in combinatorial optimization“, 20 December 2022, Promotores: Thomas Bäck and Aske Plaat. Co-promotor: Florian Neukart
  15. Marcello Gomez Maureira “Exploration in and through video games“, 26 April 2023, Promotores: Aske Plaat and Carolien Rieffe. Co-promotor: Max van Duijn



MSc & BSc

  1. Sudarshna Patel (MSc)
  2. Ivan Horokhovskyi (MSc) (with Yuxuan Zhao)
  3. Enrico Bonsu (BSc)


  1. Arup Guha (BSc) (with Charles Leiserson)
  2. Rob van Nieuwpoort (PhD) (with Henri Bal), now at eScience center Amsterdam
  3. Jason Maassen (PhD) (with Henri Bal), now at eScience center Amsterdam
  4. Ronald Veldema (PhD) (with Henri Bal), now at University of Erlangen-Nurnberg
  5. Peter Dozy (MSc) (with Henri Bal), now at Vektis
  6. Mirjam Bakker (MSc) (with Henri Bal), now at ICT beheergroep
  7. Rob Buis (MSc) (with Maarten van Steen), now at Research in Motion
  8. Ronald Blankendaal (MSc) (with Henri Bal), now at Lost Boys International
  9. Monique Dewanchand (MSc) (with Henri Bal), now at Blender
  10. Martijn Thieme (MSc) (with Henri Bal), now at Quince
  11. Christine van der Aa (MA, cum laude) (with Rutger-Jan van der Gaag and Mark Swerts), now at Eindhoven University of Technology, best-thesis prize Hannemieke Foundation
  12. Lotte Wilmer (MA), now at Claeren
  13. Remko Arts (MA) (with Antal van den Bosch and Eric Postma), now at Cognizant Technology Solutions
  14. Nadia Ahmad Awan (MSc) (with Piet Ribbers and Joost Visser), now at Shell
  15. Erik Theunissen (MA) (with Per van der Wijst)
  16. Romy van Sambeek (MA) (with Per van der Wijst)
  17. Natalie Leijnen (MA) (with Willem Stapel, Mike Sabiran, and Pieter Spronck)
  18. Emily Weimar (MA, cum laude) (with Joost Visser, Ariadi Nugroho, Martijn Goudbeek and Alexander Schouten), now at Campina
  19. Suus van de Wijdeven (MA) (with Willem Stapel, Mike Sabiran and Alexander Schouten)
  20. Malou Stillekens (MA) (with Martijn Goudbeek and Alexander Schouten)
  21. Felix Bindels (MA) (with Cas Hoogbergen, Claartje van Ulden and Per van der Wijst)
  22. Jeff de Ruyter (MMI), now at Saxion
  23. Evelyn van Kelle (MSc, cum laude) (with Per van der Wijst and Joost Visser), now at Software Improvement Group
  24. Hein Bijvoet (MMI), now at Hogeschool van Amsterdam
  25. Susanne Finken (MSc) (with Per van der Wijst, Martijn Goudbeek, and Maria Mos)
  26. Coen Vermeij (MSc) (with Christoph Stettina)
  27. Stijn Pielage (MSc) (with Marijke Somers)
  28. Miao He (MSc) (with Ricardo Cachucho)
  29. Lucas van der Meer (MSc, cum laude) (with Joost Visser and Christiaan Ypma)
  30. Mathé Zeegers (MSc) (with Walter Kosters)
  31. Yaxin Zhang (MSc) (with Claudia Bucker)
  32. Tama McGlinn (BSc)
  33. Vasilis Stavropoulos (MSc) (with Ricardo Cachucho and Joost Kok)
  34. Mahya Mirtar (MSc) (with Thomas Baar and Frank Takes)
  35. Arthur van Rooijen (BSc)
  36. Michiel Vos (MSc) (with Walter Kosters)
  37. Laurens Jansma (BSc) (with Matthijs van Leeuwen)
  38. Frank van Rijn (MSc) (with Jonathan Vis and Walter Kosters)
  39. Tim Visser (BSc) (with Bas van Stein)
  40. Kaihua Liu (MSc) (with Irene Martorelli and Janne van Kollenburg)
  41. Deepak Soekhoe (MSc, cum laude) (with Peter van der Putten)
  42. Adriaan van der Helm (MSc) (with Hans Le Fever)
  43. Cong Chen (MSc) (with Cor Veenman)
  44. Florian Treurniet (MSc) (with Kris Rietveld and John Romein)
  45. Yorick van der Vorm (BSc) (with Cor Veenman)
  46. Yorick Bolster (BSc) (with Kris Rietveld)
  47. Matthias Müller-Brockhausen (MSc) (with Mike Preuss)
  48. Zhao Yang (MSc) (with Mike Preuss)
  49. Mathijs Laban (BSc)
  50. Mike Huisman (MSc, cum laude) (with Jan van Rijn)
  51. Jianing Wang (MSc) (with Matthias Muller-Brockhausen)
  52. Joery de Vries (MSc) (with Thomas Moerland)
  53. Pavlos Skevofylax (MSc) (with Thomas Moerland)
  54. Duncan Kampert (MSc) (with Matthias Muller-Brockhausen and Ana-Lucia Varbanescu)
  55. Ken Voskuil (MSc) (with Thomas Moerland)
  56. Kwan Lie (BSc)
  57. Eva van Houten (BSc) (with Simon Portegies Zwart)
  58. Kyran van der Laan (BSc) (with Jonathan Vis)

PhD reading & defense committees:

  1. Tim Rühl “Collective Computation in Object-based Parallel Programming Languages” (VU Amsterdam) 2000
  2. John Romein “Multigame – An Environment for Distributed Game-Tree Search” (VU Amsterdam) 2001
  3. Rob van Nieuwpoort “Efficient Java-centric grid computing” (VU Amsterdam) 2003
  4. Fritz Reul “New Architectures in Computer Chess” (Tilburg) 2009
  5. Bart Bogaert “Cloud Content Contention” (Tilburg) 2011
  6. Reza Haydarlou “Towards Use-Case Driven Self-Management of Distributed Systems” (Delft) 2011
  7. Klaas Huijbregts “Collaborative care for depression in primary care, and the influence of concomitant physical symptoms” (VU Amsterdam) 2013
  8. Giel van Lankveld “Quantifying Individual Player Differences” (Tilburg) 2013
  9. Jeroen Janssens “Outlier Selection and One-Class Classification” (Tilburg) 2013
  10. Diane Nijs “Imagineering the Butterfly Effect” (Groningen) 2014 (defense only)
  11. Peter de Kock “Anticipating Criminal Behavior” (Tilburg) 2014
  12. Jasmina Maric “Web Communities, Immigration, and Social Capital” (Tilburg) 2014
  13. Daniel Gaida “Dynamic Real-Time Substrate Feed Optimization of Anaerobic Co-Digestion Plants” (Leiden) 2014
  14. Paulien Meesters “Intelligent Blauw” (Tilburg) 2014
  15. Shengfa Miao “Structural Health Monitoring Meets Data Mining” (Leiden) 2014
  16. Frank Takes “Algorithms for Analyzing and Mining Real-World Graphs” (Leiden) 2014 (defense only)
  17. Thomas Holzmann “Matchmaking for open innovation” (Leiden) 2014
  18. Yuanyuan Zhao “Modelling the dynamics of the innovation process – a data-driven agent-based approach” (Leiden) 2015
  19. Christoph Stettina “Governance in the Knowledge Worker Society” (Leiden) 2015
  20. Jerome Gard “Corporate Venture Management in SMEs” (Leiden) 2015
  21. Ugo Vespier “Mining Sensor Data from Complex Systems” (Leiden) 2015
  22. Rudy van Vliet “DNA Expressions. A formal notation for DNA” (Leiden) 2015 (defense only)
  23. Sung-Shik Jongmans “Automata-Theoretic Protocol Programming” (Leiden) 2016 (defense only)
  24. Ruud Mattheij “The Eyes Have It” (Tilburg) 2016
  25. Wouter Bronsgeest “Meer vorm dan inhoud: Onderzoek naar evaluaties van ICT-projecten bij de overheid” (Twente) 2016
  26. Zhiwei Yang “Meta-heuristics for Vehicle Routing and Inventory Routing Problems” (Leiden) 2016
  27. Emanuele Canella “Semi-partitioned Scheduling and Task Migration in Dataflow Networks” (Leiden) 2016
  28. Christina Weber “Real-time foresight” (Leiden) 2016
  29. Behrooz Nobakht “Actors at work” (Leiden) 2016 (defense only)
  30. Claudio Sa “Pattern Mining for Label Ranking” (Leiden) 2016 (defense only)
  31. Jan van Rijn “Massively Collaborative Machine Learning” (Leiden) 2016
  32. Jonathan Vis “Algorithms for the Description of Molecular Sequences” (Leiden) 2016
  33. Song Wu “Large Scale Visual Search” (Leiden) 2016
  34. Di Liu “Latency, Energy, and Schedulability of Real-Time Embedded Systems” (Leiden) 2017
  35. Yanming Guo “Deep Learning for Visual Understanding” (Leiden) 2017
  36. Alessio Sclocco “Accelerating Radio Astronomy with Auto-Tuning” (VU Amsterdam) 2017
  37. Jelena Spasic “Improved Hard Real-Time Scheduling and Transformations for Embedded Streaming Applications” (Leiden) 2017
  38. Roy de Kleijn “Control of complex actions in humans and robots” (Leiden) 2017
  39. Kaifeng Yang “Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications” (Leiden) 2017
  40. Fuyu Cai “Fuzzy System and Unsupervised Computing” (Leiden) 2017
  41. Bas van Stein “Data Driven Modeling & Optimization of Industrial Processes” (Leiden) 2018
  42. Hao Wang “Stochastic and Deterministic Algorithms forContinuous Black-Box Optimization” (Leiden) 2018
  43. Yu Liu Exploring Images with Deep Learning for Classification, Retrieval and Synthesis” (Leiden) 2018
  44. Ricardo Cachucho Methods and Tools for Mining Multivariate Time Series (Leiden) 2018
  45. Ana Fernandez “Studying the Benefits of Using UML on Software Maintenance: an Evidence-Based Approach” (Leiden) 2018
  46. Erwin Walraven Planning under Uncertainty in Constrained and Partially Observable Environments” (Delft) 2019
  47. Keyvan Azadbakht “Asynchronous Programming in the Abstract Behavioural Specification Language” (Leiden) 2019 (defense only)
  48. Koen van der Blom “Multi-Objective Mixed-Integer Evolutionary Algorithms for Building Spatial Design” (Leiden) 2019
  49. Behnaz Changizi Constraint-Based Analysis of Business Process Models” (Leiden) 2020
  50. Peng Wang On the Power Efficiency, Low Latency, and Quality of Service in Network-on-Chip” (Leiden) 2020
  51. Marcos Bueno Unraveling temporal processes using probabilistic graphical models (Leiden) 2020
  52. Samineh Bagheri Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems (Leiden) 2020 (online)
  53. Mark Raasveldt Integrating Analytics with Relational Databases” (Leiden) 2020 (online)
  54. Vlad Serbanescu “Software Development by Abstract Behavioural Specification” (Leiden) 2020 (online)
  55. Xiaoqin Tang “Optimization and Application of 3D Reconstruction for Optical Projection Tomography” (Leiden) 2020 (online)
  56. Mark Pijnenburg “Data Science for Tax Administration” (Leiden) 2020 
  57. Sobhan Niknam “Generalized Strictly Periodic Scheduling Analysis, Resource Optimization, and Implementation of Adaptive Streaming Applications” (Leiden) 2020 
  58. Milan Koch Data-Driven Machine Learning and Optimization Pipelines for Real-World Applications” (Leiden) 2020 
  59. Mozhan Soltani “Exploring Means to Facilitate Software Debugging (Leiden) 2020
  60. Pedro Holanda “Progressive Indices: Indexing without Prejudice” (Leiden) 2021
  61. Theodoros Georgiou “Multi-dimensional feature and data mining” (Leiden) 2021
  62. Hugo Proenca “Robust rules for prediction and discovery” (Leiden) 2021
  63. Alexander Hagg “Discovering the Preference Hypervolume” (Leiden) 2021
  64. Yali Wang “Multi-Objective Evolutionary Algorithms for Optimal Scheduling” (Leiden) 2022
  65. Xuhan Liu To explore drug space smarter Artificial intelligence in drug design for G protein-coupled receptors” (Leiden) 2022 (defense only) 
  66. Markus Thill “Machine Learning and Deep Learning Approaches for Multivariate Time Series Prediction and Anomaly Detection” (Leiden) 2022
  67. Matthia Sabatelli “CONTRIBUTIONS TO DEEP TRANSFER LEARNING from supervised to reinforcement learning” (Liege) 2022
  68. Furong Ye Benchmarking Discrete Optimization Heuristics: From Building a Sound Experimental Environment to Algorithm Configuration (Leiden) 2022
  69. Svetlana Minakova System-level Design For Efficient Execution of CNNs at the Edge (Leiden) 2022
  70. Thiago Rios Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization (Leiden) 2022
  71. Qi WangFunctional Representation Learning for Uncertainty Quantification & Fast Skill Transfer (Amsterdam) 2022
  73. Marios KefalasData-driven Predictive Maintenance and Time-Series Applications (Leiden) 2023′
  74. Dennis Soemers “Learning State-Action Features for General Game Playing” (Maastricht) 2023
  75. Helene Plisnier “Guiding the Exploration Strategy of a Reinforcement Learning Agent” (VU Brussel) 2023

Selected Talks