Publications: 'CLIPSym: Delving into Symmetry Detection with CLIP' (ICCV 2025); 'Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer' (ICCV 2025). Conferences attended: ICLR 2025 (Singapore); NeurIPS 2024 (Vancouver, Canada).
Research Experience
Summer 2023: NVIDIA Research Intern; Summer 2025: Autodesk Research Intern.
Education
Bachelor's degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET), 2015-2019; Ph.D. in Computer Science at Purdue University, 2021 - Present, guided by Professor Raymond A. Yeh.
Background
A fourth-year Ph.D. student in Computer Science at Purdue University, focusing on the development of robust machine learning models, particularly in the areas of equivariance and geometric machine learning, as well as exploring AI applications in scientific discovery.