World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
25327
World Ranking
1475
National Ranking
767

Electronics and Electrical Engineering

D-Index
64
Citations
22429
World Ranking
1264
National Ranking
523

Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to networked embedded computing and sensor networks
  • 2006 - ACM Distinguished Member
  • 1994 - Fellow of Alfred P. Sloan Foundation

Overview

Feng Zhao is affiliated with Microsoft in the United States. Their research spans two main fields: Engineering and Computer Science, with a significant focus on subfields such as Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering, and Information Systems.

Their work covers a range of topics, including:

  • Advanced MIMO Systems Optimization
  • Blockchain Technology Applications and Security
  • Cryptography and Data Security
  • Network Security and Intrusion Detection
  • Anomaly Detection Techniques and Applications
  • Advanced Wireless Communication Technologies
  • Vehicular Ad Hoc Networks (VANETs)

Feng Zhao has published extensively in various venues. Frequent publication locations include:

  • arXiv (Cornell University)
  • IEEE Access
  • Wireless Communications and Mobile Computing
  • Research Square (Research Square)
  • Ad Hoc Networks

Recent papers authored or co-authored by Feng Zhao include:

  • "A deep reinforcement learning for user association and power control in heterogeneous networks," 2020, Ad Hoc Networks
  • "wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks," 2021, IEEE Transactions on Wireless Communications
  • "BLOWN: A Blockchain Protocol for Single-Hop Wireless Networks Under Adversarial SINR," 2022, IEEE Transactions on Mobile Computing
  • "Cross-domain identity authentication scheme based on blockchain and PKI system," 2022, High-Confidence Computing
  • "Reference-Driven Compressed Sensing MR Image Reconstruction Using Deep Convolutional Neural Networks without Pre-Training," 2020, Sensors

Frequent co-authors collaborating with Feng Zhao include Xiaoling Tao, Xiaofeng Ai, Changsong Yang, Guoling Liang, and Minghui Xu.

Feng Zhao also contributed to book publications, including the work titled "Strategic Investment for Health System Resilience: A Three-Layer Framework," published by Washington, DC: World Bank eBooks in 2024.

The scientist has received several recognitions, such as:

  • IEEE Fellow (2010), for contributions to networked embedded computing and sensor networks
  • ACM Distinguished Member (2006)
  • Fellow of Alfred P. Sloan Foundation (1994)

Best Publications

  • Wireless Sensor Networks: An Information Processing Approach

    Feng Zhao;Leonidas Guibas

  • Information-driven dynamic sensor collaboration

    Feng Zhao;Jaewon Shin;J. Reich

  • Energy aware consolidation for cloud computing

    Shekhar Srikantaiah;Aman Kansal;Feng Zhao

  • Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks

    Maurice Chu;Horst Haussecker;Feng Zhao

  • A vehicle-to-vehicle communication protocol for cooperative collision warning

    X. Yang;L. Liu;N.H. Vaidya;F. Zhao

  • Energy-aware server provisioning and load dispatching for connection-intensive internet services

    Gong Chen;Wenbo He;Jie Liu;Suman Nath

  • Virtual machine power metering and provisioning

    Aman Kansal;Feng Zhao;Jie Liu;Nupur Kothari

  • A reliable and accurate indoor localization method using phone inertial sensors

    Fan Li;Chunshui Zhao;Guanzhong Ding;Jian Gong

  • Information-Driven Dynamic Sensor Collaboration for Tracking Applications

    Feng Zhao;Jaewon Shin;James Reich

  • Collaborative signal and information processing: an information-directed approach

    Feng Zhao;Jie Liu;Juan Liu;L. Guibas

  • SenseWeb: An Infrastructure for Shared Sensing

    W.I. Grosky;A. Kansal;S. Nath;Jie Liu

  • Epsilon: a visible light based positioning system

    Liqun Li;Pan Hu;Chunyi Peng;Guobin Shen

  • Collaborative in-network processing for target tracking

    Juan Liu;James Reich;Feng Zhao

  • Tiny web services: design and implementation of interoperable and evolvable sensor networks

    Nissanka B. Priyantha;Aman Kansal;Michel Goraczko;Feng Zhao

  • Magicol: Indoor Localization Using Pervasive Magnetic Field and Opportunistic WiFi Sensing

    Yuanchao Shu;Cheng Bo;Guobin Shen;Chunshui Zhao

  • Energy-accuracy trade-off for continuous mobile device location

    Kaisen Lin;Aman Kansal;Dimitrios Lymberopoulos;Feng Zhao

  • Automatically characterizing places with opportunistic crowdsensing using smartphones

    Yohan Chon;Nicholas D. Lane;Fan Li;Hojung Cha

  • Kineograph: taking the pulse of a fast-changing and connected world

    Raymond Cheng;Ji Hong;Aapo Kyrola;Youshan Miao

  • Toward Community Sensing

    Andreas Krause;Eric Horvitz;Aman Kansal;Feng Zhao

  • Semantic streams: a framework for composable semantic interpretation of sensor data

    Kamin Whitehouse;Feng Zhao;Jie Liu

Frequent Co-Authors

Jie Liu
Jie Liu Harbin Institute of Technology
Aman Kansal
Aman Kansal Microsoft (United States)
Suman Nath
Suman Nath Microsoft (United States)
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Guobin Shen
Guobin Shen Hong Kong University of Science and Technology
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Dimitrios Lymberopoulos
Dimitrios Lymberopoulos Microsoft (United States)
Ranveer Chandra
Ranveer Chandra Microsoft (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Xenofon Koutsoukos
Xenofon Koutsoukos Vanderbilt University

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