About me
I am a third year Ph.D. student in Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign, supervised by Mark A. Anastasio. I also closely work with Center for Label-free Imaging
Previously, from 2018 to 2020, I was a Master’s student at the University of Waterloo, under the brilliant supervision of Vasudevan Lakshminarayanan and John Zelek.
I was an undergraduate at Jadavpur University, India in the Department of Electrical Engineering, from 2014 to 2018.
Here is my curriculum vitae.
Research Interests
I have broad interests in solving Medical Imaging problems using advanced computational methods. Specific topics that I am interested in include image-to-image translation problems in medical imaging, interpretable deep learning, and label-free imaging. I am also interested in AI in healthcare, in general.
News and Updates
2024
- Paper on “A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers” accepted to IEEE Transactions on Medical Imaging!
2023
Paper on “[Semi-Supervised Semantic Segmentation of Cell Nuclei via Diffusion-based Large-Scale Pre-Training and Collaborative Learning]” out on arXiv!
Paper on “Revisiting model self-interpretability in a decision-theoretic way for binary medical image classification” accepted to ICML 2023 Workshop Interpretable Machine Learning in Healthcare!
Received the prestigious Bahl Graduate Student Award from the Department of ECE, UIUC!
2022
Paper on “Semi-supervised contrastive learning for white blood cell segmentation from label-free quantitative phase imaging” accepted to SPIE Medical Imaging 2023(Oral Presentation)!
- Paper on “White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS)” accepted to Scientific Reports!
- Passed my PhD Qualification Exam!
2021
Received prestigious NIH T32 Pre-doctoral trainee award !
Paper on “De-speckling of Optical Coherence Tomography Images Using Anscombe Transform and a Noisier2noise Model” accepted to MICCAI 2022 Workshop OMIA!
] Paper on “Analyzing neural networks applied to an anatomical simulation of the breast” accepted to SPIE Medical Imaging 2022(Oral Presentation)!
] Paper on “Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers” accepted to SPIE Medical Imaging 2022!
Outreach
I am a part of “bigyan”, a science outreach group that aims to popularize science in the Bengali language. Please feel free to message me on any social media platform or send me an email if you are interested in contributing to “bigyan” or discussing science outreach more generally.