I am currently a PhD student at the National University of Singapore and am currently working as part of the WEISER group headed by Dr. Ambuj Varshney. As a PhD student in Computer Science at the National University of Singapore, I am passionate about exploring the intersections of IoT, AI, and 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 also honed my firmware development skills as an intern at InnoPark. I completed a dual degree (B.Tech + M.S by Research) in Electronics and Communication Engineering from the International Institute of Information Technology, Hyderabad, where I published multiple papers on air quality monitoring using low-cost IoT sensors.

Recent News

[Nov 2023] Presented our paper at ENSSYS’23, in conjunction with ACM SENSYS’23, Istanbul, Turkey.

[Aug 2023] Started Ph.D. in Computer Science at the School of Computing, NUS.

Current Projects

1. Low-power transmitter design for Wireless embedded systems
2. Opportunistic IoT networks
3. Low-power wireless sensing.

Previous Publications

1. “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, Paper
2. “The application of mobile sensing to detect CO and NO2 emission spikes in polluted cities” Published in IEEE Access, Journal
3. “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.
4. “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
5. “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
6. “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
7. 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