Theses

I have supervised the following theses:

Master’s Theses

  1. Anis Louati (2025). Stock Picking with Machine Learning Methods using Technical Indicators
  2. Denizcan Saringül (2025). Enhancing LLMs with Retrieval-Augmented Generation Techniques to Improve Accessibility of Complex Texts
  3. Laurent Sierro (2025). Sentiment and Emotion Analysis on Social Media: A Comparative Study of Transformer Models, Ensemble Techniques, and Few-Shot Prompting
  4. Dimitri Roulin (2025). Large Language Models for Personalized Language Learning through Video
  5. Nguyen Huynh (2025). Forecasting Daily Customer Demand in Independent Restaurants: A Machine Learning Approach Applied to Vietnamese Restaurant in Switzerland
  6. Pierre Devillers (2025). Leveraging Visualization-Oriented Natural Language Interfaces for Enhanced Data Interaction and Visualization in the Financial Sector
  7. Abderrazak Saïb (2025). Developing Automated Solutions for Histology Processes: Enhancing Efficiency and Data Management at Labcorp Geneva
  8. Nabil Ajiach (2025). Automating the ZPSI Report Workflow: A Case Study on SAP-Python-Power BI Integration for Supply Chain Dashboard Optimization
  9. Feryel Ben Rhaiem (2024). PrivacyBot: Advanced LLM-Powered RAG Techniques to Enhance User Privacy Literacy
  10. Agon Husejni (2023). The impact of the COVID-19 lockdown on air pollution in Switzerland A region-by-region comparative analysis
  11. Reza Jabbir (2023). Création d’un logiciel d’aide à la décision dans le croisement de résultats statistiques pour la caractérisation de données géoréférencées à variables multiples.
  12. Alexis Erne (2022). Predicting Intelligence from Video: A Deep Learning Approach
  13. Loïc Rouiller Monay (2022). Used Boats Price Prediction Using Machine Learning Techniques
  14. Frederic Spycher (2022). Learning-Based Approaches to Improve Bibliographic Record Linkage
  15. Inessa Khaneeva (2022). Designing A Dashboard With A User-Centered Approach To Improve Compliance Of Document Management Systems
  16. Pau Gallardo Campos (2021). Replicating Portfolios: a machine learning approach to replicate AXA’s liabilities under Solvency II
  17. Marija Krsteska (2021). Outlier detection in business data and application in the Data Quality framework at Philip Morris International
  18. Samuel Lew (2021) Analysis of process logs using data mining techniques: detecting device failure in a Swiss MedTech start-up
  19. Alejandro Caballero (2020). Data Standards for Master Data

PhD Theses

  • Ahmad Ajalloeian (2023). Advanced in Interpretable Machine Learning: Applications, Analytics, Robustness
  • Marcus Basalla (2023). Opportunities and Challenges of Data Analytics in IS Research (co-supervisor, University of Liechtenstein)
  • Joshua Handali (2022). Human and Artificial Intelligence Systems – Transfer of Knowledge (co-supervisor, University of Liechtenstein)
  • Martin Fadler (2021). Transforming Into A Data-Driven Enterprise: Essays On Managing Big Data & Analytics (Jury de PhD thèse)
  • Clément Labadie (2021). Essays On Data Democratization & Protection In The Data-Driven Enterprise (Jury de PhD thèse)
  • Vaibhav Kulkarni (2019). Modeling, Predicting and Capturing Human Mobility.
  • Kirell Benzi (2016), EPFL, Signal Processing Group. Network Science: from recommender systems to spatio-temporal dynamics
  • Razen Al-Harbi (2016), KAUST, InfoCloud Group. Accelerating SPARQL Queries and Analytics on RDF Data
  • Francesco Fusco (2012), ETH Zurich. Dissertation No. 20474. High-Speed Indexing and Archival of Network Measurement Data