International Conference on Artificial Intelligence and Statistics · 2022
Cited
7
Resume (English only)
Academic Achievements
Publications:
- Preprint: 'Deep Multi-Task Learning Has Low Amortized Intrinsic Dimensionality', January 2025.
- 'More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms', accepted to ICML 2024, May 2024.
- 'Communication-Efficient Federated Learning With Data and Client Heterogeneity', accepted to AISTATS 2024, January 2024.
- 'PeFLL: Personalized Federated Learning by Learning to Learn', accepted to ICLR 2024, January 2024.
Research Experience
Conducted research in the field of machine learning as a Ph.D. student at ISTA.
Education
Ph.D. in Computer Science from Institute of Science and Technology Austria (ISTA), supervised by Prof. Christoph Lampert; B.Sc. in Computer Engineering from Sharif University of Technology.
Background
Research interests: Theory and applications of machine learning, particularly in meta-learning, lifelong learning, and continual learning. Professional field: Computer Science.
Miscellany
The personal website is built using Jekyll with the al-folio theme and hosted on GitHub Pages.