Hi there! I am a PhD student in Computer Science at the National University of Singapore, where I am in the intersection of sensor networks, wireless sensing and low-power wireless communication. My research aims to develop novel solutions for energy-efficient and reliable IoT systems that can address real-world challenges.
My Journey in a Nutshell
Before joining NUS, I gained valuable industry experience as a Digital Design Engineer at Texas Instruments, where I worked on logic synthesis and static timing analysis for various ASIC projects. I completed a dual degree (B.Tech + M.S by Research) in Electronics and Communication Engineering from the International Institute of Information Technology, Hyderabad.
Recent News
[May 2024] Started Summer Internship with the Pervasive Systems Group, Nokia Bell Labs, Cambridge UK.
[Apr 2024] Paper accepted in IEEE RFID’24. Title:”TunnelSense: Low-power, Non-Contact Sensing using Tunnel Diodes”
[Mar 2024] Poster accepted in ACM/IEEE IPSN’24. Title: “Enabling Non-contact, Low-Power Sensing using Tunnel Diodes”
[Oct 2023] Paper accepted in ENSSYS’23.Title: “Beyond Broadcasting: Revisiting FM Frequency-band for Providing Connectivity to Next Billion Devices”
[Aug 2023] Started Ph.D. in Computer Science at the School of Computing, NUS.
Current Projects
- Beyond-backscatter transmitter design for embedded systems
- Opportunistic IoT networks
- Low-power wireless sensing
Publications
- “TunnelSense: Low-power, Non-Contact Sensing using Tunnel Diodes” Paper presented at 18th Annual International Conference on RFID 2024, Paper
- “Poster Abstract: Enabling Non-contact, Low-Power Sensing using Tunnel Diodes” Presented at 23rd ACM/IEEE Conference on Information Processing in Sensor Networks 2024, Poster
- “Beyond Broadcasting: Revisiting FM Frequency-band for Providing Connectivity to Next Billion Devices” Paper presented at 11th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems 2023 (co-located with ACM SenSys 2023), Paper
- “The application of mobile sensing to detect CO and NO2 emission spikes in polluted cities” Published in IEEE Access, Journal
- “Development of End-to-End Low-Cost IoT System for Densely Deployed PM Monitoring Network: An Indian Case Study” Journal accepted in Frontier in Internet of Things.
- “Maximum Frequency based Adaptive Sensing for Particulate Matter Nodes in IoT Network” Paper presented at IEEE 7th World Forum on Internet of Things 2021, Paper
- “Hierarchical Clustering based Spatial Sampling of Particulate Matter Nodes in IoT Network” Paper presented at The IEEE 8th International Conference on Future Internet of Things and Cloud 2021, Paper
- “Improving Spatio-Temporal Understanding of Particulate Matter Using Low-Cost IoT Sensors” Paper presented at 31st IEEE International Symposium on Personal, Indoor and Mobile Radio Communications 2020, Paper
- IoT Network Based Analysis of Variations in Particulate Matter due to COVID-19 Lockdown Paper presented at IEEE 7th International Conference on Electronics, Computing and Communication Technologies 2021, Paper