We design, implement, and stress-test IoT and distributed systems, making resource-constrained networks measurably faster, more scalable, and more resilient, and rethinking them with AI/ML.
Based in the Department of Mathematics and Computing at IIT (ISM) Dhanbad, WiNDS Lab improves the performance, scalability, and efficiency of IoT networks and distributed systems.
We work close to the metal, with protocols, simulators, and testbeds, and pair that with AI/ML to push what resource-constrained networks can do.
Reproducible simulators such as 6TiSCH-Sim explore protocol behaviour at scale, before touching hardware.
Our IoT testbed grounds every result in real radios, real interference, and real energy budgets.
Deep RL and ML turn measurements into controllers that adapt scheduling, routing, and control.
From the physical link up to the learning layer: six directions the lab keeps returning to.
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The hardware behind our experiments: IoT nodes, gateways, robots, and drones that let us test ideas on real radios.
Papers, patents, grants, and awards: the running record of what the lab has been up to.
A small, hands-on group of researchers working across IoT, wireless networks, and AI for systems.
Assistant Professor
Department of Mathematics and Computing, IIT (ISM) Dhanbad
Ph.D. from IIT Guwahati, with prior roles as a Lecturer at SUTD and a Postdoctoral Research Fellow at NUS, Singapore. IEEE Senior Member. Recipient of the INAE Innovative Student Projects Award (equivalent to Best Thesis) for his doctoral work on the IoT.
A snapshot of recent work. The complete, always-current list is on Dr. Kalita’s personal website.
Competitive and institutional funding that powers the lab’s students, hardware, and IoT testbed.
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The lab welcomes motivated Master’s and PhD students, preferably with a Computer Science background. Curiosity, persistence, and a taste for hands-on systems work matter more than a perfect CV.
Look through our research directions and recent publications to find where your interests overlap with ours.
Email Dr. Kalita your CV, a short note on what you’d like to work on, and any relevant projects. Specific is better than generic.
PhD applicants follow the official admissions process. We’re happy to guide you along the way.