Contact: amartya@cse.iitm.ac.in
GoogleScholar GitHub CV

Amartya Basu

Amartya Basu

I am a final year MS by Research scholar advised by Dr. Ayon Chakraborty at the Department of Computer Science and Engineering, IIT Madras, India. I am a member of the Sensing and Networked Systems Engineering (SENSE) Group at IIT Madras. My research interest lies in the broad spectrum of wireless based sensing and radio tomography, centered towards design and implementation of intelligent mobile devices that performs real-time interaction with the physical world. Prior to joining IIT Madras, I completed my B.Tech in Computer Science and Engineering from Government College of Engineering and Leather Technology, Kolkata, India.

Latest News

  • Qualified the IIT M pre-incubation startup challenge for Jul-Nov'24 cohort.

  • SpecNeRF has been selected to appear in the ACM Showcase on Kudos.

  • Received the Institute Research Award (sole recipient in IIT Madras in MS category for Jul-Nov'24).

  • Serving on the Artifact Evaluation Committee for the 22nd ACM Conference on Embedded Networked Sensor Systems (SenSys'24).

  • SpecNeRF accepted at the ACM AIoT@MobiHOC, 2024.

  • UBIQMAP accepted at the IEEE Transactions on Mobile Computing, 2024.

Research Work

Description Image 1

Radio Tomographic Imaging
We design UBIQMAP, a lightweight RTI-based end-to-end system capable of mapping indoor spaces in real-time, with minimal to zero reliance over pre-deployed infrastructure.
IEEE Transactions on Mobile Computing, 2024
A system and method for mapping indoor spaces in real-time, Amartya Basu and Ayon Chakraborty. Patent(India) Applied.
Technology translation- PCB design and full prototype development are currently underway as part of the startup initiative.

UAV based Connectivity

SpecNeRF - Spectrum Neural Radiance Field
SpecNeRF: An innovative Radio Environment Map (REM) estimation technique utilizing Neural Radiance Field (NeRF) for enhanced scalability and efficiency.
ACM AIoT@MobiHOC 2024

UAV based Connectivity

JATAYU - UAV based video calling
Leveraging UAV technology to establish reliable communication networks, enabling real-time video calls and critical connectivity in emergency zones.

STEPMATE
A piezo electric based step counter to monitor user activity on an android application.
CS6650 : Smart Sensing for IoT, Spring'23