NavSense Lab

Navigation & Sensing Laboratory · Independent AI/IoT Research · Edge AI · TinyML · Federated Learning · Autonomous Systems

NavSense Lab (Navigation & Sensing Laboratory) is an independent research lab focused on building intelligent systems for the edge — from IoT localization to autonomous multi-robot coordination.

Founder & Principal Researcher: Dr. Rathin Chandra Shit Ph.D. in Computer Science & Engineering · 638+ citations · h-index 10 · i10-index 10
📍 Bhubaneswar, Odisha, India · ✉️ rathin@navsenselab.org

Research Focus

  • Edge AI & TinyML — deploying ML on constrained IoT hardware
  • IoT Localization — fingerprinting, ray-tracing, crowdsourced methods
  • Federated & Continual Learning — privacy-preserving distributed training
  • Autonomous Systems — path coordination, multi-robot task allocation

Recent News

  • Apr 2026 — Paper accepted in Elsevier (camera-ready in progress)
  • 2025 — arXiv preprints on Path-Coordinated Continual Learning

selected publications

  1. AI-Enabled Fingerprinting and Crowdsource-Based Vehicle Localization for Resilient and Safe Transportation Systems
    Rathin Chandra Shit, Suraj Sharma, Kumar Yelamarthi, and 1 more author
    IEEE Transactions on Intelligent Transportation Systems, Jul 2021
    DOI
    32 Google Scholar citations
  2. Ubiquitous Localization (UbiLoc): A Survey and Taxonomy on Device Free Localization for Smart World
    Rathin Chandra Shit, Suraj Sharma, Deepak Puthal, and 5 more authors
    IEEE Communications Surveys & Tutorials, 2019
    DOI
    143 Google Scholar citations
  3. Location of Things (LoT): A Review and Taxonomy of Sensors Localization in IoT Infrastructure
    Rathin Chandra Shit, Suraj Sharma, Deepak Puthal, and 1 more author
    IEEE Communications Surveys & Tutorials, 2018
    Awarded DOI
    279 Google Scholar citations
  4. Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance
    Rathin Chandra Shit
    2025
    Awarded DOI
    1 Google Scholar citations