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Computer Science
USA
2026
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Computer Science

D-Index
117
Citations
68920
World Ranking
165
National Ranking
96

Electronics and Electrical Engineering

D-Index
114
Citations
66938
World Ranking
83
National Ranking
40

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2017 - ACM Fellow For contributions to sensor networks, mobile personal sensing, and cyber-physical systems

Overview

Mani Srivastava is affiliated with the University of California, Los Angeles in the United States. Their research primarily spans the field of computer science, with a focus on several specialized subfields including artificial intelligence, signal processing, computer vision and pattern recognition, electrical and electronic engineering, and computer networks and communications.

Their work covers various topics, notable among them are anomaly detection techniques and applications, time series analysis and forecasting, adversarial robustness in machine learning, explainable artificial intelligence (XAI), indoor and outdoor localization technologies, music and audio processing, and neural networks and applications.

Some of the recent papers authored or co-authored by Mani Srivastava include:

  • Machine Learning for Microcontroller-Class Hardware: A Review (2022), published in IEEE Sensors Journal
  • Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI (2020), published in Patterns
  • Wearable sensors for monitoring marine environments and their inhabitants (2023), published in Nature Biotechnology
  • AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading (2022), published in Proceedings of the 30th ACM International Conference on Multimedia
  • Incorporating physics into data-driven computer vision (2023), published in Nature Machine Intelligence

Mani Srivastava has collaborated frequently with several colleagues, including Lance Kaplan, Federico Cerutti, Sandeep Singh Sandha, Alun Preece, and Luis Antonio Ribot García.

Their publications often appear in venues such as arXiv (Cornell University), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Sensors Journal, ACM Transactions on Privacy and Security, and Patterns.

In recognition of their contributions, Mani Srivastava was named an ACM Fellow in 2017, cited specifically for their work in sensor networks, mobile personal sensing, and cyber-physical systems.

Best Publications

  • Timing-sync protocol for sensor networks

    Saurabh Ganeriwal;Ram Kumar;Mani B. Srivastava

  • Guest Editors' Introduction: Overview of Sensor Networks

    D. Culler;D. Estrin;M. Srivastava

  • Energy-aware wireless microsensor networks

    V. Raghunathan;C. Schurgers;Sung Park;M.B. Srivastava

  • Coverage problems in wireless ad-hoc sensor networks

    S. Meguerdichian;F. Koushanfar;M. Potkonjak;M.B. Srivastava

  • Overview of sensor networks

    David Cruller;Deborah Estrin;Mani Srivastava

  • Power management in energy harvesting sensor networks

    Aman Kansal;Jason Hsu;Sadaf Zahedi;Mani B. Srivastava

  • Design considerations for solar energy harvesting wireless embedded systems

    Vijay Raghunathan;Aman Kansal;Jason Hsu;Jonathan Friedman

  • Instrumenting the world with wireless sensor networks

    D. Estrin;L. Girod;G. Pottie;M. Srivastava

  • Reputation-based framework for high integrity sensor networks

    Saurabh Ganeriwal;Laura K. Balzano;Mani B. Srivastava

  • Energy efficient routing in wireless sensor networks

    C. Schurgers;M.B. Srivastava

  • The bits and flops of the n-hop multilateration primitive for node localization problems

    Andreas Savvides;Heemin Park;Mani B. Srivastava

  • Using mobile phones to determine transportation modes

    Sasank Reddy;Min Mun;Jeff Burke;Deborah Estrin

  • Optimizing sensor networks in the energy-latency-density design space

    C. Schurgers;V. Tsiatsis;S. Ganeriwal;M. Srivastava

  • Wireless Sensor Networks for Healthcare

    JeongGil Ko;Chenyang Lu;Mani B Srivastava;John A Stankovic

  • Generating Natural Language Adversarial Examples

    Moustafa Alzantot;Yash Sharma;Ahmed Elgohary;Bo-Jhang Ho

  • A dynamic operating system for sensor nodes

    Chih-Chieh Han;Ram Kumar;Roy Shea;Eddie Kohler

  • Power optimization of variable-voltage core-based systems

    I. Hong;D. Kirovski;Gang Qu;M. Potkonjak

  • Reputation-based framework for high integrity sensor networks

    Saurabh Ganeriwal;Mani B. Srivastava

  • Cyclops: in situ image sensing and interpretation in wireless sensor networks

    Mohammad Rahimi;Rick Baer;Obimdinachi I. Iroezi;Juan C. Garcia

  • Predictive system shutdown and other architectural techniques for energy efficient programmable computation

    M.B. Srivastava;A.P. Chandrakasan;R.W. Brodersen

  • Editorial: wireless sensor networks

    Erdal Cayirci;Ramesh Govindan;Taieb Znati;Mani Srivastava

Frequent Co-Authors

Deborah Estrin
Deborah Estrin Cornell University
Aman Kansal
Aman Kansal Microsoft (United States)
Jeff Burke
Jeff Burke University of California, Los Angeles
Vijay Raghunathan
Vijay Raghunathan Purdue University West Lafayette
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
Gregory J. Pottie
Gregory J. Pottie University of California, Los Angeles
Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Rajesh Gupta
Rajesh Gupta University of California, San Diego
Curt Schurgers
Curt Schurgers University of California, San Diego
Lance Kaplan
Lance Kaplan United States Army Research Laboratory

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