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 the Government College of Engineering and Leather Technology, Kolkata, India. I occasionally do photography; you can find some of my work here.
Research Work
A system and method for mapping indoor spaces in real-time, Ayon Chakraborty and Amartya Basu.
Patent(India): Applied
Ubiquitous Indoor Mapping using Mobile Radio Tomography
We design UbiqMap, a lightweight RTI-based end-to-end system capable of mapping indoor spaces in real-time,
with minimal to zero reliance on pre-deployed infrastructure.
Technology translation: PCB design and full prototype development are
currently underway as part of the startup initiative.
SpecNeRF: Neural Radiance Field Driven Wireless Coverage Mapping
for 5G Networks
An innovative Radio Environment Map (REM) estimation technique utilizing Neural Radiance Field
(NeRF) for enhanced scalability and efficiency.
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 piezoelectric-based step counter designed to monitor user activity on an Android application. This project was a collaborative
effort by a team of five, developed as part of the course Smart Sensing for Internet of Things (CS6650).
Latest News
- Received the Research Excellence Award from IIT Madras.
- 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 AIoT in conjunction with ACM MobiHoc, 2024.
- UbiqMap accepted at the IEEE Transactions on Mobile Computing, 2024.