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soumitri2001/README.md

Hi there! 👋

I am a 3rd year Ph.D. student at UC San Diego, Dept. of Computer Science and Engineering. I am a part of UCSD Biomedical Image Analysis Group, advised by Prof. Marc Niethammer. I transferred to UCSD from UNC Chapel Hill in Fall '25, where I was a PhD student since 2023. Previously, I completed my Bachelors (B.E.) in June '23 majoring in Information Technology at Jadavpur University, India.

Research Interests

Currently, I am broadly working on foundational models for 3D medical image analysis (segmentation and registration). My interests broadly encompass multimodal learning (Vision + X) for computer vision, medical image analysis and fine-grained representation learning. I also collaborate with Prof. Praneeth Chakravarthula on unified image restoration and Prof. Josep Llados on document understanding.

Prior to starting PhD, my research background focused on self-supervised learning for various computer vision applications, particularly on low-resource data (medical imaging, human sketches, signatures etc.). I also occasionally work on audio or language processing.

Recent updates

  • New!! [Sept '25]  Transferred to UC San Diego to continue my PhD at the Computer Science and Engineering department!
  • New!! [Jul '24]  One paper accepted at BMVC 2024 for Oral presentation!!
  • [Aug '23]  One paper accepted at BMVC 2023!

Ways to reach out to me:
Email  /  Google Scholar  /  Blogs  /  Website  /  LinkedIn

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  1. GCPL GCPL Public

    Towards Generative Class Prompt Learning for Fine-grained Visual Recognition, BMVC 2024 (Oral)

    JavaScript 5

  2. SmallDataSSL SmallDataSSL Public

    Exploring Self-Supervised Learning for Low-Resource Medical Image Analysis, ICIP 2023

    Python 9 3

  3. IDEAL IDEAL Public

    Forked from Rohit-Kundu/IDEAL-ICASSP23

    IDEAL: Improved DEnse LocAL Contrastive Learning for Semi-Supervised Medical Image Segmentation", ICASSP 2023

    Jupyter Notebook

  4. SWIS-Self-Supervised-Learning-for-Offline-Signature-Verification SWIS-Self-Supervised-Learning-for-Offline-Signature-Verification Public

    SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification", ICIP 2022 (Oral)

    Python 11

  5. SURDS-SSL-OSV SURDS-SSL-OSV Public

    SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification", ICPR 2022

    Python 17 4

  6. SnapEnsemFS SnapEnsemFS Public

    Based on our paper "SnapEnsemFS: A Snapshot Ensembling-based Deep Feature Selection Model for Colorectal Cancer Histological Analysis" published in Scientific Reports, Nature (2023).

    Python 2