Team

I am the director of the AI-enabled Software Engineering (AISE) research lab at TU Delft (Linkedin, X, HuggingFace, and Github.) I’ve had / am having the privilege of (co)supervising the following students:

PhD

  • Daniele Cipollone (Sep 2024), TU Delft.
  • Agnia Sergeyuk (Apr 2024), TU Delft-JetBrains.
  • Egor Bogomolov (Mar 2024), TU Delft-JetBrains.
  • Jonathan Katzy (Jan 2023), TU Delft.
  • Ali Al-Kaswan (Sep 2022), TU Delft.

MSc and/or Scientific Developers

  • 2024 (TU Delft): Roham Koohestani (Scientific developer) working on improving LLMs4Code.
  • 2024 (TU Delft): Fabio Salerno visited my lab for 5 months to do his thesis on LLMs4Code.
  • 2024 (TU Delft): Five MSc students working on improving LLMs4Code.
  • 2023 (TU Delft): Aral De Moor (Scientific developer) working on improving LLMs4Code.
  • 2021 (TU Delft): Ali Al-Kaswan worked on binary code summarization using Transformers. Now PhD candidate at TU Delft.
  • 2020 (SUT): Mahtab Nejati worked on recommender systems using semantically-enhanced knowledge graphs for software development. Now PhD candidate at University of Waterloo, Canada.
  • 2020 (SUT) Pooya Rostami Mazrae worked on improving traceability among software artifacts using ensemble methods. Now PhD candidate at University of Mons, Belgium.
  • 2019 (SUT): Kiana Akbari, worked on issue report prioritization.

BSc Students

  • 2024 (Spring): Three 5-member teams working on LLM4Code, TU Delft.
  • 2023 (Spring): Two 4-member teams working on cross-lingual LLMs4Code and compressing LLMs4Code, TU Delft.
  • 2022 (Spring): A 5-member team working on automatic code completion using LLMs, TU Delft.
  • 2022 (Spring): A 4-member team working on recommender systems for software artifacts leveraging the SED topics, TU Delft.
  • 2018: A 7-member team working on data science for software engineering, Sharif University of Technology