
Registered user since Fri 1 May 2020
2025 update: Although I won’t be able to attend ICSE 2025, my team will present our work at several sessions, including ICSE, MSR, FORGE, LLM4Code, and IDE. I encourage you to stop by their presentations/posters and speak with them. If you would like to get in touch with me directly, please feel free to send me an email. I am looking for a strong #postdoc to work at the intersection of LLMs and SE. If you’re interested, don’t hesitate to reach out.
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Dr. Maliheh Izadi is an assistant professor in the Faculty of Electrical Engineering, Mathematics, and Computer Science at Delft University of Technology, the Netherlands. She leads the AISE (AI-enabled Sofwater Engineering) research lab at TU Delft. Her work has been supported by various funding including Amazon Research Award and industry collaborations such as JetBrains Research. Lastly, she is also the scientific manager for the TU Delft/JetBrains Collaboration, AI4SE.
Maliheh’s research focuses on enhancing software development tools through building smarter software and tailoring machine learning and NLP techniques to source code. Currently, she is working on the challenges of tailoring large language models (LLMs) to source code such as evaluation, benchmarking, model memorization, IDE integration, in-IDE Human-AI interaction, and extending models’ capabilities to low-resource programming languages.
If interested, feel free to have a chat at the conference or send an email to “m [DOT] izadi [AT] tudelft [DOT] nl”.
Contributions
2026
2025
ESEC/FSE
- Author of A Multi-agent Onboarding Assistant based on Large Language Models, Retrieval Augmented Generation, and Chain-of-Thought within the Demonstrations-track
- Author of HyperSeq: A Hyper-Adaptive Representation for Predictive Sequencing of States within the Ideas, Visions and Reflections-track
- Committee Member in Program Committee within the Research Papers-track
- Author of Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks within the Research Papers-track
ICSE
NLBSE
- Session Chair of Session 2 - Tool competition (part of Natural Language Based SE)
- Author of Workshop closing within the Natural Language Based SE-track
- Session Chair of Opening (part of Natural Language Based SE)
- Session Chair of Session 1 - Research papers (part of Natural Language Based SE)
- Author of Opening within the Natural Language Based SE-track
Mining Software Repositories
2024
ICSME
ICSE
NLBSE
- Author of Panel Introduction within the NLBSE 2024-track
- Session Chair of Session 1 - Language and code dynamics (part of NLBSE 2024)
- Session Chair of Discussion Panel - Challenges and Opportunities of LLMs (part of NLBSE 2024)
- Session Chair of Opening (part of NLBSE 2024)
- Author of Panel discussion within the NLBSE 2024-track
- Session Chair of Session 2 - Frontiers of collaborative development (part of NLBSE 2024)
Mining Software Repositories
Forge
- Author of An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets within the Research Track-track
- Author of Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study within the Research Track-track
2023
Mining Software Repositories
NLBSE
- Author of The (Ab)use of Open Source Code to Train Language Models within the NLBSE 2023-track
- Tool Competition Co-chair of Closing within the NLBSE 2023-track
- Tool Competition Co-chair of Opening & Issue Report Classification Competition within the NLBSE 2023-track
- Tool Competition Co-chair in Organizing Committee within the NLBSE 2023-track
- Author of STACC: Code Comment Classification using Sentence Transformers within the NLBSE 2023-track