PhD students

Lindsey van der Aalst

Dynamical systems, Computer assisted proofs, Supervisor: Jan Bouwe van den Berg

Nazanin Abedini

Data assimilation: shadowing, Kalman filter, Particle filter, Supervisor: Svetlana Dubinkina

Parissa Akefi

Early Automatic Detection of Discourse in Information Voids on Social Media, Supervisor: Sandjai Bhulai

Lies Beers

Spectral theory of (hyper)graphs, Supervisors: Raffaella Mulas

Etienne van de Bijl

Machine learning in cybersecurity and social network analysis, Supervisors: Rob van der Mei and Sandjai Bhulai

Hanneke de Boer

Mathematical Network Analyses, Supervisors: Sandjai Bhulai, Rob van der Mei, Roy Lindelauf

Tim de Boer

Data-driven optimization for a vital elderly care system in The Netherlands (DOLCE VITA), Supervisors: Rob van der Mei, Sandjai Bhulai, Rene Bekker, Bianca Buurman-Van Es

Aafko Boonstra

Forensic probability and statistics, Supervisors: Ronald Meester, Klaas Slooten

Ronen Brilleslijper

Floer theory: covariant field theory, mirror symmetry, Supervisor: Oliver Fabert

Fabio Buccoliero

Geometric topology: Topological graphs, Supervisor: Senja Barthel

Samuel Castelo Mourelle

Algebraic topological methods for dynamical systems, Supervisor: Rob van der Vorst

Francesca Cavallini

Mathematical Neuroscience, Uncertainty Quantification, Supervisors: Daniele Avitabile and Svetlana Dubinkina

Alain Chavarri Villarello

Formalizing diophantine algorithms, Supervisor: Sander Dahmen

Riya Dogra

Geometric Topology : Knots, Braids and Topological graph theory, Supervisor: Senja Barthel

Bengi Dönmez

Network Dynamics, Phase Reduction, Supervisor: Bob Rink

Dirk Doorakkers

Spatio-temporal canards and delayed bifurcations in continuous neurobiological networks, Supervisor: Daniele Avitabile

Jasper van Doorn

AI-Boosted Integrated Production and Transport Optimization, Supervisors: Rob van der Mei, Sandjai Bhulai, Joost Berkhout

Maarten Droste

Mathematical Biology: Control of maximal growth rate by single-celled organism, Supervisors: Bob Planqué, Joost Hulshof

Kevin Duijndam

Price Optimisation, Reinforcement Learning, Business Analytics, Supervisors: Ger Koole, Rob van der Mei

Elisabeth Fokker

FTMaaS project, Supervisors: Rob van der Mei, Elenna Dugundji

Arwin Gansekoele

Machine Learning for Combatting Cybercrime, Supervisors: Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn

Elena Garlati

Large Language Models for forecasting, Supervisors: Sandjai Bhulai, Ger Koole

Pengju Guan

Hilde Hummel

Machine learning algorithms for underwater acoustics, Supervisor: Rob van der Mei, Sandjai Bhulai

Tijn Jacobs

High-dimensional Bayesian causal inference for survival analysis, Supervisor: Stéphanie van der Pas

Michael Jung

Differential topology, Supervisor: Thomas Rot

Jullian van Kampen

Models for predicting effects of subway stations on multimodal connections and neighbourhoods in urban areas., Supervisors: Rob van der Mei, Elenna Dugundji, Eric Pauwels

Jeroen van Kasteren

Operation Research and Business Analytics: Queueing Theory, Reinforcement Learning, Data Analytics, Machine Learning, Supervisors: Ger Koole, Sandjai Bhulai

Sophie Klumper

Customized and coordinated solutions for congestion bottlenecks in networks, Supervisors: Guido Schäfer (CWI), Rob van der Mei, Sandjai Bhulai

Julia Kowalska

Causal inference methods, Supervisors: Stéphanie van der Pas

Leon Lan

AI-Boosted Integrated Production and Transport Optimization, Supervisors: Rob van der Mei, Sandjai Bhulai, Joost Berkhout

Alexander Langreiter

Hamiltonian Dynamics and Symplectic Geometry, Supervisors: Gabriele Benedetti

Britt van Leeuwen

Developing and evaluating new methods for the use of artificial intelligence in the context of intelligence services, Supervisors: Rob van der Mei, Sandjai Bhulai

Huixiaqing Liu

Statistical Methods for Assessing Higher-Order Interactions in fMRI Data, Supervisors: Rikkert Hindriks

Adel Magra

Bayesian statistics for semiparametric inverse problems, Supervisors: Harry van Zanten, Eduard Belitser

Berend Markhorst

Robust, effective and adaptable ship design, Supervisors: Rob van der Mei, Joost Berkhout, Jeroen Pruyn (TU Delft)

Luminita Maxim

Statistics: Statistics for Neuroscience, Statistical Inference for EEG/MEG Functional Connectivity , Supervisors: Rikkert Hindriks, Mathisca de Gunst

Moos Middelkoop

Machine Learning for (cyber)security, Supervisors: Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn

Dennis Nieman

Variational methods in Bayesian statistics, Supervisors: Harry van Zanten, Botond Szabo (Bocconi University)

Jesse Nagel

Customized and coordinated solutions for congestion bottlenecks in our infrastructure, Supervisors: Rob van der Mei, Sandjai Bhulai, Guido Schäfer

Mathijs Pellemans

Deep Learning for Supply Chain Optimization in the Mobility Industry, Supervisors: Sandjai Bhulai, Rob van der Mei, Jesper Slik

Yasmin Roshandel

Operations research and AI in supply chain optimization within the mobility industry, Supervisor: Sandjai Bhulai, Rob van der Mei, Jesper Slik

Robin van Ruitenbeek

Computer Vision for the Automotive Industry, Supervisors: Sandjai Bhulai, Ger Koole

Nadja Rutsch

High-dimensional Bayesian causal inference with DAGs, Supervisors: Stéphanie van der Pas

Eric Sandin Vidal

Dynamical Systems, Supervisor: Jan Bouwe van den Berg

Erica van der Sar

Learning and Stochastic Optimization for Power Networks, Supervisors: Alessandro Zocca, Sandjai Bhulai

Alba Sendón Blanco

Algebraic Topology, Homotopy Theory, Cobordism, Category Theory, Supervisor: Renee Hoekzema

Yury Tavyrikov

Mathematical statistics, e-values, multiple testing, Supervisor: Rianne de Heide

Michail Tsironis

Cluster algebras, Supervisor: Ilke Cankci

Alexandra Vegelien

Quantile regression methods to high-dimensional statistical models, Supervisor: Wessel van Wieringen

Lais Wehbi

Reinforcement learning and its applications to mobility-related problems, Supervisor: Sandjai Bhulai, Jesper Slik