Scholar
Mina Rezaei
Google Scholar ID: gwQH-xUAAAAJ
LMU Munich
Citations & Impact
Citations
3,614
H-index
18
i10-index
24
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in international conferences such as ICLR, TMLR, etc. Involved in various research projects, including 'Calibrating LLMs with Information-Theoretic Evidential Deep Learning' and 'A Dual-Perspective Approach to Evaluating Feature Attribution Methods'.
Research Experience
- Worked as a research fellow at Harvard Medical School and Mass General Hospital in Boston, focusing on probabilistic deep learning and robust representation learning for clinical data analysis.
Education
- Ph.D. from the Hasso Plattner Institute (HPI) at Potsdam University, supervised by Prof. Christoph Meinel; M.Sc. in Artificial Intelligence from the Department of Computer Science, Shiraz University; Bachelor's degree in Computer Science, Software Engineering, from Shiraz University.
Background
- A junior group leader and university lecturer at the Chair of Statistical Learning and Data Science, Department of Statistics, LMU Munich. Currently, serves as the teaching coordinator for the Munich Center for Machine Learning (MCML) and leads the "Methods Beyond Supervised Learning" focus group at LMU Munich's Statistics Department. Research interests include both technical and theoretical skills of machine learning with a focus on its transformative applications within the realm of computer vision, natural language processing (NLP), and healthcare.
Miscellany
- Personal website, LinkedIn, Google Scholar, X
