Jaswinder Lota

University of East London

Papers

1

Total Citations

2

H-Index

1

About

Jaswinder Lota is a researcher at the forefront of low-power signal processing and the Internet of Things (IoT), with a particular focus on enabling efficient sensing for mobile and industrial applications. His work addresses the critical challenge of computational efficiency in resource-constrained environments, such as autonomous vehicles, drones, and robots, which are increasingly central to the Mobile Industrial Internet-of-Things (MI²oT). A key contribution is his development of low-computational sensing techniques using Goertzel filtering, a method that reduces processing demands while maintaining reliable performance. This approach, detailed in his 2020 paper on the subject, has garnered attention for its potential to extend battery life and reduce latency in mobile IoT devices. Though his citation count is still growing, Lota’s work is notable for its practical impact on real-time data acquisition and edge computing, offering a pathway to more sustainable and responsive industrial systems. His research bridges the gap between theoretical signal processing and tangible hardware constraints, making him a valuable voice in the evolution of smart, mobile-connected infrastructure.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Low Computational Sensing with Goertzel Filtering for Mobile Industrial IoT Devices
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of East London

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago