Mani B. Srivastiva

University of California, Los Angeles

Papers

1

Total Citations

3

H-Index

1

About

Mani B. Srivastava is a pioneering researcher in the Internet of Things (IoT), cyber-physical systems, and embedded machine learning, with a focus on energy-efficient sensing and human-centric computing. His work has fundamentally advanced how low-power devices collect, process, and communicate data in resource-constrained environments, particularly for health monitoring and battlefield applications. Among his most notable contributions is the development of IoBT-MAX, a multimodal analytics experimentation testbed for Internet of Battlefield Things research, which provides a distributed edge-node infrastructure for real-time sensing and decision-making. With over 30,000 citations across his career, Srivastava's impact is reflected in his highly influential papers on wearable sensor systems, adaptive power management, and context-aware computing. He is a Fellow of the IEEE and ACM, and his research has been recognized with multiple best paper awards. Srivastava continues to shape the field through his leadership at UCLA, where he directs the Networked and Embedded Systems Laboratory, mentoring the next generation of innovators in IoT and AI at the edge.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of California, Los Angeles

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago