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 at TU Delft

  • 2025: RAzvan Popescu.
  • 2024: Ziyou Li.
  • 2024: Daniele Cipollone.
  • 2024: Agnia Sergeyuk.
  • 2024: Egor Bogomolov.
  • 2023: Jonathan Katzy.
  • 2022: Ali Al-Kaswan.

Research Assistants

  • 2024-2025 (TU Delft): Roham Koohestani (research assistant) working on improving LLMs4Code.
  • 2024 (TU Delft): Fabio Salerno visited my lab for 5 months and worked on memorization in fine-tuned LLM4Code.
  • 2023 (TU Delft): Aral De Moor (Scientific developer) worked on improving trigger models for code completion
MSc students
  • 2025 (TU Delft): Four MSc students working on improving LLMs4Code.
  • 2024 (TU Delft): Five MSc students 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 semantic knowledge graphs for improving SE recommender systems. 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