Scholar
Karine Even-Mendoza
Google Scholar ID: NlynffMAAAAJ
King's College London
Citations & Impact
Citations
242
H-index
8
i10-index
7
Publications
20
Co-authors
34
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published numerous conference papers and journal articles, including but not limited to 'AccelerQ: Accelerating Quantum Eigensolvers With Machine Learning on Quantum Simulators', and developed the dataset/database titled 'LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution (ASE 2025 V1)'. Additionally, has received at least 3 prizes.
Research Experience
- Serves as a Lecturer in Systems & Programming Languages at King's College London; involved in multiple research projects, such as using machine learning to accelerate quantum eigensolvers.
Education
- Specific educational background details are not provided in the given HTML content.
Background
- Research interests include large language models, fuzzing, and program verification within the field of computer science.
Miscellany
- No information regarding personal interests or hobbies is available from the provided HTML content.
