Registered user since Fri 1 May 2020
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. Maliheh is an Amazon Research Award recipient for her work on #LLMs4Code. She received her PhD from Sharif University of Technology in 2021.
Her 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 large language models (LLMs) for source code such as evaluation, benchmarks, model memorization, and extending models’ capabilities to various programming languages.
She is currently #hiring PhDs and postdocs in the area of #LLM4Code and in collaboration with JetBrains Research. If interested, feel free to have a chat at the conference or send an email to “m [DOT] izadi [AT] tudelft [DOT] nl”.
Contributions
2025
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