Theses

đź“– Open Theses

The following projects are available for students. If you are interested or want more details, please contact me.

  • Implementing a Low‑Code Web Application for the Development of Fair Learning‑Based Systems
    Extend and improve the MANILA web application to make fairness-aware model development more accessible. Key objectives:

    • Enable specification of custom fairness metrics
    • Add import/export of fairness configurations using a simple domain‑specific language (DSL)
    • Improve the user interface for clarity and usability
    • Provide an in‑app tutorial and examples to help users get started

  • Automating the Compression of Large Language Models of Code
    Research and implement search‑based strategies to identify effective model compression pipelines that reduce model size while preserving performance. The work involves designing search procedures, evaluating compression candidates, and benchmarking tradeoffs between size, speed, and accuracy.



🧑‍💻 Theses in Progress

  • A.Y. 2025-2026

    • Enhancing Fairness in Image Generation Models Through Modified Prompt Embeddings
      • Candidate: Asmita Anand
      • Supervisor: Prof. Federica Sarro – University College London



âś… Co-Supervised Theses

  • A.Y. 2024-2025

    • The Moral Cost of Visual Bias: Intersectionality in AI Image Generation Across Religion, Ethnicity, and Gender
      • Candidate: Tabatha Adorno Correa
      • Supervisor: Dr. Donatella Donati – University of L’Aquila


    • How Do Generative Models Draw a Software Engineer? Investigating and Mitigating Bias in Stable Diffusion Models

      • Candidate: Tosin Fadhaunsi
      • Supervisor: Prof. Federica Sarro – University College London


    • Improving Energy Consumption of Text2Image Generation Models

      • Candidate: Jay Choy
      • Supervisor: Prof. Federica Sarro – University College London


    • Towards Fair and Sustainable Machine Learning: A Multi-Objective Ensemble Optimization Approach

      • Candidate: Vayk Mathrani
      • Supervisor: Prof. Federica Sarro – University College London