World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
88
Citations
35191
World Ranking
674
National Ranking
360

Electronics and Electrical Engineering

D-Index
87
Citations
34481
World Ranking
343
National Ranking
163

Overview

Bhaskar Krishnamachari is affiliated with the University of Southern California in the United States. Their academic contributions span primarily the field of Computer Science, with a significant focus on subfields such as Computer Networks and Communications, Artificial Intelligence, and Information Systems. Other areas of interest include Electrical and Electronic Engineering and Management Science and Operations Research.

Their research topics include:

  • Blockchain Technology Applications and Security
  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Spam and Phishing Detection
  • Cloud Computing and Resource Management
  • Network Security and Intrusion Detection
  • Auction Theory and Applications

Bhaskar Krishnamachari has authored and co-authored numerous papers published in various venues. Their frequent publication venues include:

  • arXiv (Cornell University)
  • 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
  • ACM Computing Surveys
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE/ACM Transactions on Networking

Recent notable papers include:

  • Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities, 2022, IEEE Internet of Things Magazine
  • A Survey of Blockchain-Based Strategies for Healthcare, 2020, ACM Computing Surveys
  • Artificial Intelligence of Things: A Survey, 2024, ACM Transactions on Sensor Networks
  • Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities, 2024, ACM Computing Surveys
  • Solving Math Word Problems concerning Systems of Equations with GPT-3, 2023, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors who have collaborated with Bhaskar Krishnamachari include:

  • Arvin Hekmati
  • Jared Coleman
  • Mingyu Zong
  • Mehrdad Kiamari
  • Gowri Ramachandran

Best Publications

  • The impact of data aggregation in wireless sensor networks

    L. Krishnamachari;D. Estrin;S. Wicker

  • An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks

    G. Lu;B. Krishnamachari;C.S. Raghavendra

  • Analyzing the transitional region in low power wireless links

    M. Zuniga;B. Krishnamachari

  • Modelling Data-Centric Routing in Wireless Sensor Networks

    Bhaskar Krishnamachari;Deborah Estrin;Stephen Wicker

  • Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks

    B. Krishnamachari;S. Iyengar

  • Complex Behavior at Scale: An Experimental Study of Low-Power Wireless Sensor Networks

    Deepak Ganesan;Deborah Estrin;Alec Woo;David Culler

  • Toward dynamic energy-efficient operation of cellular network infrastructure

    Eunsung Oh;B Krishnamachari;Xin Liu;Zhisheng Niu

  • The impact of spatial correlation on routing with compression in wireless sensor networks

    Sundeep Pattem;Bhaskar Krishnamachari;Ramesh Govindan

  • Networking wireless sensors

    Bhaskar Krishnamachari

  • A framework of energy efficient mobile sensing for automatic user state recognition

    Yi Wang;Jialiu Lin;Murali Annavaram;Quinn A. Jacobson

  • Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks

    Karim Seada;Marco Zuniga;Ahmed Helmy;Bhaskar Krishnamachari

  • Base Station Operation and User Association Mechanisms for Energy-Delay Tradeoffs in Green Cellular Networks

    Kyuho Son;Hongseok Kim;Yung Yi;B. Krishnamachari

  • Energy-latency tradeoffs for data gathering in wireless sensor networks

    Yang Yu;B. Krishnamachari;V.K. Prasanna

  • Dynamic Base Station Switching-On/Off Strategies for Green Cellular Networks

    Eunsung Oh;Kyuho Son;B. Krishnamachari

  • Performance evaluation of the IEEE 802.15.4 MAC for low-rate low-power wireless networks

    Gang Lu;B. Krishnamachari;C.S. Raghavendra

  • The impact of spatial correlation on routing with compression in wireless sensor networks

    Sundeep Pattem;Bhaskar Krishnamachari;Ramesh Govindan

  • An analysis of unreliability and asymmetry in low-power wireless links

    Marco Zúñiga Zamalloa;Bhaskar Krishnamachari

  • The ACQUIRE mechanism for efficient querying in sensor networks

    N. Sadagopan;B. Krishnamachari;A. Helmy

  • Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks

    Shangxing Wang;Hanpeng Liu;Pedro Henrique Gomes;Bhaskar Krishnamachari

  • Combinatorial network optimization with unknown variables: multi-armed bandits with linear rewards and individual observations

    Yi Gai;Bhaskar Krishnamachari;Rahul Jain

  • Power consumption in telecommunication networks: overview and reduction strategies

    Willem Vereecken;Ward Van Heddeghem;Margot Deruyck;Bart Puype

Frequent Co-Authors

Qing Zhao
Qing Zhao Cornell University
Stephen B. Wicker
Stephen B. Wicker Cornell University
Fan Bai
Fan Bai General Motors (United States)
Zhisheng Niu
Zhisheng Niu Tsinghua University
Sheng Zhou
Sheng Zhou Tsinghua University
Ahmed Helmy
Ahmed Helmy University of North Carolina at Charlotte
Murali Annavaram
Murali Annavaram University of Southern California
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
John Heidemann
John Heidemann University of Southern California
Mingyan Liu
Mingyan Liu University of Michigan–Ann Arbor

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