advisees

I have/had the privilege of advising the following researchers (in alphabetical order):

Current advisees

  • Mado Ntekouli (Postdoc, ongoing): Ecological Momentary Assessment Data
  • Haoyang Gui (PhD, ongoing): Computational Techniques for Social Media Influencers
  • Abderrahmane Issam (PhD, ongoing): Low-resource Neural Machine Translation for non-native speakers
  • Pawel Maka (PhD, ongoing): Context-aware Neural Machine Translation
  • Samyak Sheth (PhD, ongoing): Access to legal information for laypeople
  • Lucas G. Uberti-Bona Marin (PhD, ongoing): Computational techniques to mitigate risks from AI deployment

Former PhD / Postdoc advisees

  • Vageesh Saxena (PhD, defended 01/2026): Connecting online criminal behavior with machine learning: Using authorship attribution to analyze and link potential online traffickers (book)
  • Antoine Louis (PhD, defended 05/205): Machine Learning Solutions for “Machine learning solutions for improving access to law” (book)
  • Mado Ntekouli (PhD, defended 04/2025): Bridging individual and group perspectives in psychopathology: computational modeling approaches using ecological momentary assessment data (book)
  • Constanta Rosca (PhD, defended 12/2024): Digital Arms for Consumer Harms: Mapping Legal and Technical Solutions for Dark Patterns in EU Consumer Law (e-book)
  • Kirill Tumanov (PostDoc, 2020-2021): Combating Childhood Obesity

Thesis & Internship Supervision

I had the opportunity to (co)supervise and work with several students on their thesis/internship projects, several of which have led to publications:

2026

  • Timos Eleftheriou (Research Internship): Short-Horizon Forecasting of EMA Symptoms Using Digital Phenotyping and Wearable Data (2026)

2025

  • Abdulmuizz Abdulrazzak Khalak (Msc): Analyzing Differences And Similarities Between Arabic And Dialectal Arabic Pre-Trained Models (2025)
  • Alexander Prochnow (MSc): Demand Forecasting In Supply Chain Management In The Automotive Aftermarket Industry (2025)
  • Anton Changalidi (MSc): AI Assistant for Regulatory Compliance in Building Designs (2025)
  • Jiska Beuk (MSc): Measuring Bias Against LGBTQ+ Individuals in Dutch Language Models (2025)
  • Leonard Maximilian Eßer (MSc): Linking Transparency And Accountability: Analyzing The Connection Between TikTok’s Terms Of Service And Moderation Decisions (2025)
  • Abdulmuizz Abdulrazzak Khalak (Internship @Law&Tech Lab): Identifying factual, legal reasoning and outcome similarities in legal cases (2025)
  • Bas Görritzer (joint s/v with Pawel Maka, MSc): Sequence Shortening for Autoregressive Language Modeling (2025)
  • Alexei Rosca (joint s/v with Abderrhmane Issam, MSc): Low-Resource Machine Translation for Moroccan Arabic (2025)
  • Chloe Chrombach (MSc): Optimizing Dutch Legal Text Segmentation and Summarization: A Low-Resource Approach to Enhancing Relevance Extraction in Complex Case Law (2025)

2024

  • Amirhossein Jazayeri (joint s/v with Mado Ntekouli, MSc): Clustering and Co-clustering of Multivariate Time-series based on Complex Networks (2024)
  • Yuyang Li (MSc): Investigating conversational AI frameworks for enhanced real-time flight information (2024)
  • Elza Strada (BSc): Dutch CrowS-pairs: Extending a challenge dataset for measuring social bias in language models (2024)
  • Vitalijs Tickovs (BSc): Describing The Language Of Hidden Advertising On Social Media (2024)
  • Shireen Aynetchi (BSc): Designing an Evaluation Framework for assessing answer quality in Large Language Models (2024)
  • Lukas Uberti-Bona Marin (Internship @ FPN, UM): Beat-The-Binge: Predictive modeling for binge moments based on EMA data (2024)
  • Georgios Koutidis (joint s/v with Mado Ntekouli, MSc): Application Of Graph Neural Networks On Multi-Variate Time Series Forecasting (2024)
  • Daniel Röder (MSc): Towards Dynamic Knowledge Grounding for generative Language Models (2024)
  • Arthur Vieillevoye (Internship @ TKH Airport Solutions): Identifying factors that affect the dynamic characteristics of an airport (2024)
  • Aaaron Schapira (Internship @ Deloitte): Absenteeism Analysis and Prediction (2024)

2023

  • Darong de Groot (MSc): Multi-task Multi-modal Product Attribute Prediction in E-commerce (2023)
  • Justus-Jonas Erker (MSc): Self-Regulation through Imaginary Conversations in Many Worlds (2023)
  • Theodoros Giannilias (MSc): MORS: Multi-Output Regression System for Analyzing Airline Customer Satisfaction: A study on Skytrax (2023)
  • Gianluca Vico (MSc): Larth: Dataset and NLP techniques for Etruscan language (2023)
  • Mohammad Fayazi (BSc): Assessing Social Media Communication Strategies Of Airlines (2023)
  • Dumitru Versebeniuc (BSc): Model-Based Clustering Multivariate EMA Time-Series Data (2023)
  • Arun Gade (Internship @ Law & Tech Lab): Statutory Article Retrieval Dutch Dataset in Law-domain (2023)
  • Lena Cabrera Perez (joint s/v with Jan Niehues): Gender Bias In Multilingual Machine Translation (2023)

2022

  • Luc Meels (Internship @ Mediaan): Active learning in NLP classification problems (2022)
  • Justus-Jonas Erker (Internship @ DFKI): Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning (2022)
  • Nikiforos Tsiakiris (MSc): Assisting the early detection of problem gambling using NLP techniques (2022)
  • Francesca Battipaglia (MSc): Investigating the factors of influencer for topic models: documents representation, context and human feedback (2022)
  • Rick van Bellen (MSc): Explainable Detection of Undisclosed Partnerships in Multi-modal Social Media Posts (2022)
  • Shashank Subramanya (MSc): Multilingual Topic Modeling (2022)
  • Tim Debets (MSc, joint s/v with Jan Niehues): Multidomain Story Generation using pre-trained LMs (2022)
  • Bas Marco Göritzer (BSc): Battle of the Keyword Spotters: Comparing various approaches (2022)
  • Alexei Rosca (BSc): Diving deeper: A comparison of deep learning and linear methods on time series data (2022)
  • Lavinia Pulcinella (MSc, joint s/v with Matúš Mihalák): Recommender Systems In Telco – A Graph Representation Learning Approach (2022)
  • Theodoros Giannilias (Internship @ GrAIMatterlabs): Structure pruning, skip convolutions and learning to quantization in Neural Networks (2022)
  • Katharina Erbach (MSc): Semi-Supervised Stance And Sentiment Detection On Crawled EU Twitter Data (2022)
  • Arthur Haas (Internship @ adSoul): Transforming lists of named entities to graph representations (2022)
  • Pranav Bapat (MSc): Toxicity Detection: Does Context Really Matter? (2022)

2021

  • Ana Victoria Ladeira (MSc): A Bayesian Recommender System for Content Supporting the Formation of Healthy Habit (2021)
  • Charatsaris Georgios (MSc): Efficient Aspect Based Sentiment Analysis with Application to Airline Reviews (2021)
  • Valentin Maican (BSc): Automatic classification of binge eating thoughts (2021)
  • Roman Nekrasov (BSc): Exploring the characteristics of Dark Web Data Markets (2021)
  • Csongor Kocsis (BSc): Forecasting the European Air Network Evolution (2021)
  • Fred Bedetse (BSc): Detecting business models of social media influencers (2021)
  • Pietro Piccini (BSc): Identifying strong predictors of engagement in Facebook news posts (2021)
  • Jan-Felix de Man (BSc): On the Evaluation of Music Generation Algorithms Using Music Theory (2021)
  • Vladislav Kolev (BSc): Emotion Classification with Pre-Trained RoBERTa Model for Fake News (2021)
  • Walter Simoncini (BSc): On Adversarial Attacks For Named Entity Recognition (2021)
  • Marcell Ignéczi (MSc, joint s/v with Gerhard Weiss): Creating a trust measure for social media mining for brand perception analysis (2021)
  • Katharina Erbach (Research Internship, joint s/v with Gijs van Dijck): Structuring European Case Law Judgements (2021)
  • George Charatsaris (Research Internship): Investigating topic models over time on different corpora (2021)
  • Pieter Schaap (MSc): Language Aware Neural Text Classifier (2021)
  • Bogdan Covrig (BSc graduating project Saxxion (external)): Revealing Dark Patterns on Commercial Websites in the EU (2021)
  • Attila Herbert (Internship @ neurocat): Neural Network Robustness and Adversarial Attacks (2021)
  • Diego Watanabe Ruiz (Internship @ Viqtor Davis): Creating collections, indexing, annotating, analyzing and visualizing document in a business context (2021)

2020

  • Maxine Hanrieder (MSc, joint s/v with Cameron Browne): Adapting Focused Crawling to Dark Web Marketplaces based on Vendor Popularity (2020)
  • Błażej Dolicki (BSc): Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer (2020)
  • Rodrigo Alejandro Chávez Mulsa (BSc): Evaluating Bias In Dutch Word Embeddings (2020)
  • Thalea Schlender (BSc): ‘Christian is to judgemental, as Muslim is to terrorist’: An Evaluation of Multiclass Debiasing Methods on Word Embeddings (2020)
  • Sarah Waseem (BSc): Investigating Topic Models For Scientific Publications Using Word Embeddings (2020)
  • Kostya Smirnov (BSc, joint s/v with Gerhard Weiss): Early detection of fake news on Twitter by analysing propagation structures (2020)
  • Danni Liu (MSc, joint s/v with Jan Niehues): Low-Latency End-to-End Speech Recognition with Enhanced Readability (2020)
  • Maxine Hanrieder (Internship @ Amsterdam University of Applied Sciences, joint s/v with Jan Niehues): CounterBot: A Conversational Agent to Detect and Address Hate Speech on Twitter (2020)

2019

  • Josephine Rutten (MSc): Convolutional Neural Networks for Sentence Classification in Dutch Language (2019)
  • Danni Liu (Internship @ Nuance): NLP algorithms for building healthcare solutions (2019)
  • Pieter Schaap (Internship @ Mercedes): Automatically generating FAQs (2019)
  • Isabel Pereira Fernandez (BSc): Investigating the Impact of Topic Modelling Techniques on Answer Suggestion Models (2019)
  • Xi Chen (MSc): Assessing the influence of Word Embedding and Architecture on Sentence Representation (2019)
  • Adam Vandor (MSc): Generative Adversarial Networks For Harmony Aware Music Composition (2019)
  • Cedric Oeldorf (MSc): Conditional Style-Based Logo Generation with Generative Adversarial Networks (2019)
  • Sebstian Drenckberg (MSc): Automatic Tracking Of Files Within The Research Data Life Cycle Based On File Properties And Change Histories (2019)
  • Marion Meyers (BSc, joint s/v with Gerhard Weiss): How Do Fake Facts Propogate On Social Media Compared To Fact-Checked Information? (2019)
  • Chinmay Dhawan (Internship @ HousingAnywhere): Recommendation System for housing (2019)
  • Adam Vandor (Research Internship): Classification of artistic compositions (Infinity Games project, 2019)

2018

  • Giona Paolini (BSc): Fuzzy QA System With Recurrent Neural Networks (2018)
  • Xavier Weber (BSc): Extraction of semantic structure on deformed documents via fully convolutional neural networks (2018)
  • Redencio Jozefzoon (MSc): Modelling Career Path For Professional Basketball Players (2018)
  • Sidney Radcliffe (MSc, joint s/v with Kurt Driessens): Forecasting Daily Revenues for a Cafe Chain (2018)
  • Florian Krebs (MSc): Embedding Of Categorical Variables In An Online Learning Context (2018)
  • Richard Polzin (MSc): Rule Extraction for Pen-and-Paper Role-Playing Games (2018)
  • Jade Cock (BSc): Bubble: An Oversampling Technique artificially generating Instances (2018)
  • Iulia Feroli (BSc): Topic Extraction And Tracking: Analyzing And Visualizing The Evolution Of News Stories Over Time (2018)
  • Anik Jacobsen (BSc): It’s a Match! Reciprocal Recommender System for Graduating Students and Jobs (2018)
  • Wouter Leeftink (BSc): Towards Controlled Transformation of Sentiment in Sentences (2018)
  • Matteo Maggiolo (BSc): A Deep Learning model for Univariate and Multivariate Time Series Prediction (2018)
  • Ajkel Mino (BSc): LoGAN: Generating Logos with a Generative Adversarial Neural Network conditioned on colour (2018)
  • Raffaele Piccini (BSc): Using Hierarchical Encoder-Decoder Neural Network models for a context-aware dialogue system (2018)
  • Jose Velasquez Sosa (BSc): Neural Attention and Morphological Word Embedding for Contract Element Extraction (2018)
  • Dominika Celina Woszczyk (BSc): MaaSim: A liveability simulation for the city of Maastricht (2018)
  • Oskar Person (Internship @ APG GroeiFabriek): Sentiment Analysis and Network Discovery (2018)
  • Praveen Sam (Internship @ APG GroeiFabriek): Sentiment Analysis with Convolutional Neural Networks (2018)
  • Dominik Nerger (Internship @ PEM RWTH-Aachen): End-to-End Driving with convolutional neural networks in a simulated environment (2018)
  • Redencio Osewa-Jozefzoon (Internship @ NN): Automating communication process between companies/clients using machine learning (2018)
  • Tom Moka-Petersen (BSc): Multilingual mathematical text processing with deep learning techniques (2018)
  • Stefan Selzer (MSc): Towards a similarity measurement to identify storylines in latent topics (2018)
  • David Natarajan (BSc): Storyline analysis based on news items topics (2018)

2017

  • Joeri Hermans (MSc, joint s/v with Rico Moeckel): On Scalable Deep Learning and Parallelizing Gradient Descent algorithm (2017)
  • Darius Schneider (MSc, joint s/v with Mena Habib): Enriching Tweet Normalization with Neural Word Embeddings (2017)
  • Maarten Weber (MSc, joint s/v with Kurt Driessens): Application of Recurrent Neural Networks on Call Center Data (2017)
  • Paul Disbeschl (BSc): Alleviating congestion at airports through auctions and dynamic pricing (2017)
  • Andreea Iana (BSc): Building a course recommender system based on competences (2017)
  • Tom Rolandus Hagedoorn (BSc): MOOC profiling for dropout prediction (2017)
  • Alexander Bartl (MSc): Simulating Conversation in a Dialogue System by utilizing Recurrent Neural Network Models (2017)
  • Fatimah Mulan Ahmed (MSc): Analysis of european airline networks using community detection techniques (2017)
  • Marcell Ignéczi (BSc): Community detection in Massive Open Online Courses (MOOCs) (2017)

2016

  • Moritz Schlichting (BSc): Designing an auction for airport slot trading (2016)
  • Irme Groothuis (MSc): Adaptive dropout in recurrent neural networks for language generation (2016)
  • Pieter Schaap (BSc): Using deep learning to generate short text data (2016)

2015

  • Nico Petrakis (MSc): Market basket analysis using product networks (2015)
  • Philipp Glock (MSc): Design and Evaluation of an SVM Framework for Scientific Data Applications (2015)
  • Renzo Poddighe (MSc): Topic models for short text data (2015)
  • Christopher Wittlinger (MSc): Investigating Flexible Deep Neural Network applied to Natural Language Processing (2015)

2012

  • Nikos Papasarantopoulos & Georgios Theofilou: Unsupervised entity relation extraction using a greek newspaper corpus (2012)