About
I am a Doctoral Researcher in Computer Science at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, supervised by Prof. Mike Papadakis.
My research is on AI-enabled software testing: software testing agents, automated program repair, test evolution, and how large language models can be applied to software engineering problems. The through-line is using intelligent techniques to make software quality assurance more effective and less manual.
Before Luxembourg I was a Senior AI Research Assistant at Manchester Metropolitan University and a Data Science Graduate Research Assistant at the University of Leeds. I hold an MSc in Artificial Intelligence (Distinction) from Manchester Metropolitan University, and I have published peer-reviewed work in computer vision and machine learning.
I have also completed more than 150 peer reviews for journals and conferences published by IEEE, ACM, Springer Nature and Elsevier, and hold the UK Global Talent endorsement from Tech Nation.
Research Interests
- Software testing and test evolution
- Automated program repair
- LLMs for software engineering
- Software testing agents
- Applications of AI and computer vision
Elsewhere on this site
- Experience — research and industry roles
- Publications — peer-reviewed journal and conference papers
- Education — degrees, theses and supervisors
- Projects — selected research and engineering work
- Peer Review — review service
- CV — full curriculum vitae
Technical Skills
- Languages: Python · C/C++ · MATLAB · HTML/CSS · LaTeX
- Areas: machine and deep learning · computer vision · software testing · automated program repair · data analysis
- Tools: Git and GitHub
Contact
The best way to reach me is by email at m.a.charoosaei@gmail.com. You can also find me on Google Scholar, ORCID, GitHub, LinkedIn and ResearchGate.