{"id":14,"date":"2021-09-29T16:48:13","date_gmt":"2021-09-29T14:48:13","guid":{"rendered":"https:\/\/people.unil.ch\/michalisvlachos\/?page_id=14"},"modified":"2025-09-19T07:23:01","modified_gmt":"2025-09-19T05:23:01","slug":"theses","status":"publish","type":"page","link":"https:\/\/people.unil.ch\/michalisvlachos\/theses\/","title":{"rendered":"Theses"},"content":{"rendered":"\n

<\/p>\n\n\n\n

I have supervised the following theses:<\/p>\n\n\n\n

Master’s Theses<\/h2>\n\n\n\n
    \n
  1. Anis Louati (2025). Stock Picking with Machine Learning Methods using Technical Indicators<\/li>\n\n\n\n
  2. Denizcan Saring\u00fcl (2025). Enhancing LLMs with Retrieval-Augmented Generation Techniques to Improve Accessibility of Complex Texts<\/li>\n\n\n\n
  3. Laurent Sierro (2025). Sentiment and Emotion Analysis on Social Media: A Comparative Study of Transformer Models, Ensemble Techniques, and Few-Shot Prompting<\/li>\n\n\n\n
  4. Dimitri Roulin (2025). Large Language Models for Personalized Language Learning through Video<\/li>\n\n\n\n
  5. Nguyen Huynh (2025). Forecasting Daily Customer Demand in Independent Restaurants: A Machine Learning Approach Applied to Vietnamese Restaurant in Switzerland<\/li>\n\n\n\n
  6. Pierre Devillers (2025). Leveraging Visualization-Oriented Natural Language Interfaces for Enhanced Data Interaction and Visualization in the Financial Sector<\/li>\n\n\n\n
  7. Abderrazak Sa\u00efb (2025). Developing Automated Solutions for Histology Processes: Enhancing Efficiency and Data Management at Labcorp Geneva<\/li>\n\n\n\n
  8. Nabil Ajiach (2025). Automating the ZPSI Report Workflow: A Case Study on SAP-Python-Power BI Integration for Supply Chain Dashboard Optimization<\/li>\n\n\n\n
  9. Feryel Ben Rhaiem (2024). PrivacyBot: Advanced LLM-Powered RAG Techniques to Enhance User Privacy Literacy<\/li>\n\n\n\n
  10. Agon Husejni (2023). The impact of the COVID-19 lockdown on air pollution in Switzerland A region-by-region comparative analysis<\/li>\n\n\n\n
  11. Reza Jabbir (2023). Cr\u00e9ation d’un logiciel d’aide \u00e0 la d\u00e9cision dans le croisement de r\u00e9sultats statistiques pour la caract\u00e9risation de donn\u00e9es g\u00e9or\u00e9f\u00e9renc\u00e9es \u00e0 variables multiples.<\/li>\n\n\n\n
  12. Alexis Erne (2022). Predicting Intelligence from Video: A Deep Learning Approach<\/li>\n\n\n\n
  13. Lo\u00efc Rouiller Monay (2022). Used Boats Price Prediction Using Machine Learning Techniques<\/li>\n\n\n\n
  14. Frederic Spycher (2022). Learning-Based Approaches to Improve Bibliographic Record Linkage<\/li>\n\n\n\n
  15. Inessa Khaneeva (2022). Designing A Dashboard With A User-Centered Approach To Improve Compliance Of Document Management Systems<\/li>\n\n\n\n
  16. Pau Gallardo Campos (2021). Replicating Portfolios: a machine learning approach to replicate AXA\u2019s liabilities under Solvency II<\/li>\n\n\n\n
  17. Marija Krsteska (2021). Outlier detection in business data and application in the Data Quality framework at Philip Morris International<\/li>\n\n\n\n
  18. Samuel Lew (2021) Analysis of process logs using data mining techniques: detecting device failure in a Swiss MedTech start-up<\/li>\n\n\n\n
  19. Alejandro Caballero (2020). Data Standards for Master Data<\/li>\n<\/ol>\n\n\n\n

    PhD Theses<\/h2>\n\n\n\n
      \n
    • Ahmad Ajalloeian (2023). Advanced in Interpretable Machine Learning: Applications, Analytics, Robustness<\/li>\n\n\n\n
    • Marcus Basalla (2023). Opportunities and Challenges of Data Analytics in IS Research (co-supervisor, University of Liechtenstein)<\/li>\n\n\n\n
    • Joshua Handali (2022). Human and Artificial Intelligence Systems\u00a0\u2013\u00a0Transfer of Knowledge (co-supervisor, University of Liechtenstein)<\/li>\n\n\n\n
    • Martin Fadler (2021). Transforming Into A Data-Driven Enterprise: Essays On Managing Big Data & Analytics (Jury de PhD th\u00e8se)<\/li>\n\n\n\n
    • Cl\u00e9ment Labadie (2021). Essays On Data Democratization & Protection In The Data-Driven Enterprise (Jury de PhD th\u00e8se)<\/li>\n\n\n\n
    • Vaibhav Kulkarni (2019). Modeling, Predicting and Capturing Human Mobility.<\/li>\n\n\n\n
    • Kirell Benzi (2016), EPFL, Signal Processing Group. Network Science: from recommender systems to spatio-temporal dynamics<\/li>\n\n\n\n
    • Razen Al-Harbi (2016), KAUST, InfoCloud Group. Accelerating SPARQL Queries and Analytics on RDF Data<\/li>\n\n\n\n
    • Francesco Fusco (2012), ETH Zurich. Dissertation No. 20474. High-Speed Indexing and Archival of Network Measurement Data<\/li>\n<\/ul>\n\n\n\n

      <\/p>\n","protected":false},"excerpt":{"rendered":"

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