Internet of Things
Making dense, low-power IoT deployments reliable and scalable — reliability, scheduling, and lifetime under real constraints.
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.
WiNDS Lab explores the Internet of Things and distributed systems by building real solutions to real problems — then measuring whether they actually hold up.
Based in the Department of Mathematics and Computing at IIT (ISM) Dhanbad, the lab improves the performance, scalability, and efficiency of IoT networks and distributed systems. We work close to the metal — protocols, simulators, and testbeds — and pair that with cutting-edge AI/ML to push what resource-constrained networks can do.
Meet the teamThree of the six problems we keep returning to — from the physical link up to the learning layer.
Making dense, low-power IoT deployments reliable and scalable — reliability, scheduling, and lifetime under real constraints.
Squeezing more range, throughput, and mission-critical reliability out of the wireless edge, including UAV networks.
Rigorous, reproducible evaluation of IoT protocols — building simulators and testbeds to see what really happens.

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.
The lab welcomes motivated Master’s and PhD students, preferably with a Computer Science background. If IoT, wireless networks, or AI/ML for systems is your thing, we’d love to hear from you.