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philsaurabh/README.md

Saurabh Sharma

Typing intro

Website LinkedIn ORCID ResearchGate X

Profile views Followers Open to collaborations

👨🏻‍🔬 About Me

Coding

I'm an Institute Postdoctoral Fellow at the Department of Computational and Data Sciences, Indian Institute of Science (IISc), Bengaluru, building foundation models in federated settings for medicine and healthcare.

  • 🧠 Program Manager, IndiNeuroFM: a sovereign Indian foundation model for the human brain (TANUH AI-CoE, with 12 medical partners)
  • 🎓 Ph.D., CSE, IIT Patna (Efficient Techniques for Knowledge Distillation) · PMRF fellow, 2021–2024
  • 🔬 Working on knowledge distillation, federated & privacy-aware learning, medical image analysis, deepfake detection in medical imaging and uncertainty estimation
  • 🏥 Earlier: TANUH Breast Cancer vertical and the Medical Imaging Group (MIG) at IISc · Assistant Professor at KIET · DevOps intern at Myntra
  • 🤝 Open to collaborations in medical AI, efficient/distributed learning and trustworthy AI
  • ⚡ Fun fact: I love classical music 🎶

🗺️ My research map (click to expand) 
mindmap
  root((Saurabh's Research))
    Efficient AI
      Knowledge Distillation
      Self-Distillation
      Model Compression
    Trustworthy AI
      Uncertainty Estimation
      Noise-Resilient Learning
      Deepfake Detection in Medical Images
    Federated & Distributed Learning
      Non-IID Federated KD
      Multi-institution Foundation Models
    Healthcare AI
      Brain MRI Foundation Models
      Breast Cancer Imaging
      Medical Image Classification
    Graph Learning
      GNN Self-Distillation
      Hierarchical Attention GNNs
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📰 Recent News

When Update
🗓️ 2026 🎉 Joined IISc Bengaluru as an Institute Postdoctoral Fellow (CDS)
🗓️ 2026 📄 Memory Augmented Self Distillation for GNNs published in Data Mining and Knowledge Discovery
🗓️ 2026 📄 Physics-Inspired Fuzzy Self Ensembling published in Biomedical Signal Processing and Control
🗓️ 2026 💡 Patent application filed (IISc × Accenture): determining authenticity of a medical image
🗓️ 2025 🎓 Defended my Ph.D. at IIT Patna
🗓️ 2024 🏅 MICCAI 2024 paper + MICCAI RISE grant

📚 Selected Publications

Journals and conferences
  • Taking lessons from history: Memory Augmented Self Distillation for Graph Neural Networks
    Data Mining and Knowledge Discovery, 2026 · DOI
  • Walking the Energy Lines: Physics-Inspired Fuzzy Self Ensembling for Medical Image Classification
    Biomedical Signal Processing and Control, 2026 · DOI
  • Confidence Matters: Uncertainty-Driven Contrastive Self-Distillation for Medical Image Classification
    MICCAI, 2024 · DOI
  • StAlK: Structural Alignment based Self Knowledge Distillation for Medical Image Classification
    Knowledge-Based Systems, 2024 · DOI
  • NoRD: Noise-Resilient Self-Distillation through Relative Supervision
    Applied Intelligence, 2025 · DOI
  • SCL-IKD: Intermediate Knowledge Distillation via Supervised Contrastive Representation Learning
    Applied Intelligence, 2023 · DOI

➡️ Full list on my website and ORCID.

🛠️ Languages & Tools

Skills

Keras Mathematica Tableau

📊 GitHub Analytics

GitHub stats Top languages

GitHub streak

Contribution snake

👣 Digital Footprints

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If something here helped you, please ⭐ the repository, it really helps!
For collaborations, reach out on LinkedIn. Please don't spam. 🙏

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  1. MASD_DMKD MASD_DMKD Public

    Official code for "Taking lessons from history: Memory Augmented Self Distillation for graph neural networks" Published at Data Mining and Knowledge Discovery Journal

    Jupyter Notebook 1

  2. STARK_TCSS STARK_TCSS Public

    Official code for "STARK: Enhancing Traffic Prediction Through Spatiotemporal Adaptive Refinement With Knowledge Distillation" Published at IEEE Transactions on Computational Social Systems

    Python 1

  3. StAlK_KBS StAlK_KBS Public

    Official Code for "StAlK: Structural Alignment based Self Knowledge distillation for Medical Image Classification" Published at Knowledge Based Systems Journal

    Python 2

  4. UDCD_MICCAI UDCD_MICCAI Public

    Official Code for "Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-distillation" accepted at MICCAI2024

    Python 6

  5. B.Tech_Project_and_Thesis B.Tech_Project_and_Thesis Public

    Mathematical Modelling using MATLAB and Wolfram Mathematica

    TeX 1

  6. M.Tech_Project_and_Thesis M.Tech_Project_and_Thesis Public

    Deep Learning Approach for Heart Sound Segmentation and Classification

    Python 1