Saurabh Sharma

About

Saurabh Sharma is currently a Postdoctoral Researcher as Institute Postdoctoral Fellow in the Medical Imaging Group at the Indian Institute of Science (IISc) Bangalore. He earned his Ph.D. as Prime Minister's Research Fellow (PMRF) in Computer Science and Engineering from IIT Patna, where his research focused on efficient techniques for knowledge distillation in deep learning. His academic background includes an integrated B.Tech and M.Tech degree in Information Technology from IIITM Gwalior. His research interests include model compression, self-distillation, and robust medical image analysis, with several publications in top-tier journals and conferences such as MICCAI, Knowledge-Based Systems, and Applied Intelligence. He has been recognized with prestigious honors including the Prime Minister’s Research Fellowship and the SERB ANRF Grant.

Employment

• Indian Institute of Science Bangalore Postdoctoral Researcher
  2025 - Present
• KIET Group of Institutions Assistant Professor
  2019 - 2020
• Myntra Designs Pvt. Ltd. System Engineer Intern
  2018 - 2018

Education

• Indian Institute of Technology Patna PhD
  2020 - 2025

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Taking lessons from history: Memory Augmented Self Distillation for graph neural networks
  Data Mining and Knowledge Discovery 2026 DOI: 10.1007/s10618-026-01258-z
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• Walking the energy lines: Physics-inspired fuzzy self-ensembling for medical image classification
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2026.110425
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• STARK: Enhancing Traffic Prediction Through Spatiotemporal Adaptive Refinement With Knowledge Distillation
  IEEE Transactions on Computational Social Systems 2026 DOI: 10.1109/TCSS.2026.3650920
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• Federated Knowledge Distillation under Non‑IID Data for Intelligent Edge Systems
  2025 International Conference on Networking, Sensing and Control, Oulu, Finland: ICNSC IEEE 2025
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• Healing with hierarchy: Hierarchical attention empowered graph neural networks for predictive analysis in medical data
  Artificial Intelligence in Medicine 2025 DOI: 10.1016/j.artmed.2025.103134
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• NoRD: A framework for noise-resilient self-distillation through relative supervision
  Applied Intelligence 2025 DOI: 10.1007/s10489-025-06355-y
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• StAlK: Structural Alignment based Self Knowledge distillation for Medical Image Classification
  Knowledge-Based Systems 2024 DOI: 10.1016/j.knosys.2024.112503
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• Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-distillation
  2024 DOI: 10.1007/978-3-031-72117-5_13
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• SCL-IKD: intermediate knowledge distillation via supervised contrastive representation learning
  Applied Intelligence 2023 DOI: 10.1007/s10489-023-05036-y
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• Identification of Emotions from Sentences Using Natural Language Processing for Small Dataset
  Advances in Intelligent Systems and Computing 2021 DOI: 10.1007/978-981-33-6919-1_3
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