Published several papers, including 'CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation' (KDD 2025), 'TSCMamba: Mamba meets multi-view learning for time series classification' (Information Fusion), and more; involved in multiple projects such as low-dose CT perceptual image quality assessment (Medical Image Analysis).
Research Experience
Research intern at Google; Kaggle Competition Expert, enjoys solving practical machine learning problems and learning from the global data science community.
Education
PhD Candidate in Computer Science at the University of Kentucky; BSc in Computer Science and Engineering from RUET; previously served as a lecturer at Green University of Bangladesh.
Background
Research interests include deep learning, multimodal learning, and real-world data challenges. Focuses on building effective and efficient AI solutions that can adapt to diverse domains.
Miscellany
Interested in new ideas and exciting collaborations.