2. Second-place award for Best 3-Minute Presentation at EDEE Scientific Day at EPFL in October 2024.
3. Best Poster Award at Math-ML for Image Analysis summer school in Bologna, Italy, in June 2024.
4. Third-place award for Best Oral Presentation at ISBI 2024 in Athens, Greece, in May 2024.
Research Experience
Conducting research at the Biomedical Imaging Group at EPFL, focusing on Machine Learning for Computational Imaging, particularly in using Attention Mechanisms for Image Restoration.
Education
PhD: École polytechnique fédérale de Lausanne (EPFL), Advisor: Prof. Michael Unser; BSc: Sharif University of Technology (SUT), Electrical Engineering.
Background
Research Interests: Machine Learning for Computational Imaging, particularly in Attention Mechanisms for Image Restoration. Professional Areas: Deep learning, data analysis, scientific computing. Brief Introduction: PhD student at EPFL, with multiple publications in top venues such as ICML, IEEE TCI, and IEEE ISBI, and has received several awards.
Miscellany
Career Vision: Interested in using machine learning to solve real-world problems, especially diffusion models and attention-based architectures. Wants to continue working on these in a broader ML context.