Supervision

PhD Students

Prospective PhD Students

Two fully funded PhD positions are available in the context of the MSCA Joint Doctorate program GreenFieldData project.

Deadline for applications is April 15, 2026. For more information see this announcement.

Current PhD Students

Antonios Kontaxakis, ULB and UPC, 2021–

• PhD Topic: Optimization of Machine Learning Workflows
  • In co-supervision with Alberto Abelló, Universitat Politècnica de Catalunya (UPC); and Sergi Nadal, Universitat Politècnica de Catalunya (UPC)
• Funded by the MSCA Joint Doctorate program DEDS

Md Ataur Rahman, ULB and UPC, 2021–

• PhD Topic: Semantic-Aware Heterogeneity Management
  • In co-supervision with Oscar Romero, Universitat Politècnica de Catalunya (UPC); and Sergi Nadal, Universitat Politècnica de Catalunya (UPC)
• Funded by the MSCA Joint Doctorate program DEDS

Ikthiyor Nematov, ULB and AAU, 2022–

• PhD Topic: Data Attribution in Machine Learning and Large Language Models
  • In co-supervision with Katja Hose, TU Wien; and Tomer Sagi, Aalborg University (AAU)
• Funded by the MSCA Joint Doctorate program DEDS

Petros Skoufis, ULB and Athena RC, 2024–

• PhD Topic: Exploring synergies between LLMs, Knowledge Graphs and Data Lake
  • In co-supervision with Dimitrios Skoutas, Athena Research Center

Christos Daoulas, ULB, 2024–

• PhD Topic: Leveraging Blockchain for Transparent and Accountable Deforestation Monitoring and Carbon Market Integration

Elizaveta Kuzmenko, ULB, 2025–

• PhD Topic: Designing responsible and explainable LLMs for sensitive domains

Graduated PhD Students

Carine Mukamakuza, TU Wien, 2016–2020

• PhD Thesis: Analyzing Social Influence in Recommender Systems
  • In co-supervision with Hannes Werthner, TU Wien
• Now: Assistant Teaching Professor, Carnegie Mellon University Africa

Master’s Students

Interested students on a Master’s thesis, Computing Project, or Preparatory Work are encouraged to reach out via email. My current research interests are:

• counterfactual explanations;
• optimization of machine learning workflows;
• lie and hallucination detection in LLMs;
• source and context attribution in LLMs.

Read more about my research interests here.