World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
6593
World Ranking
4685
National Ranking
1648

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to decentralized signal processing in sensor networks and interference management of wireless networks

Overview

Biao Chen is affiliated with Syracuse University in the United States and has contributed to research primarily in engineering and computer science. Their work spans several interconnected subfields including computer vision and pattern recognition, electrical and electronic engineering, artificial intelligence, mechanical engineering, and geophysics.

Their recent publications reflect a diverse range of topics, with papers appearing in venues such as arXiv (Cornell University), Advanced Electronic Materials, IEEE Transactions on Neural Networks and Learning Systems, Journal of Alloys and Compounds, and Finance Research Letters. Notable recent papers include:

  • FOCUS: Dealing with Label Quality Disparity in Federated Learning, 2020, arXiv (Cornell University)
  • Low-Cost Fabricated MgSnO Electrolyte-Gated Synaptic Transistor with Dual Modulation of Excitation and Inhibition, 2022, Advanced Electronic Materials
  • Harvesting Ambient RF for Presence Detection Through Deep Learning, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Advanced tensile properties and strain rate sensitivity of titanium matrix composites reinforced with CaTiO3 particles, 2021, Journal of Alloys and Compounds
  • Government investment in science and technology, digital transformation, and innovation in manufacturing enterprises, 2024, Finance Research Letters

Biao Chen's research topics include indoor and outdoor localization technologies, geological and geochemical analysis, geochemistry and geologic mapping, millimeter-wave propagation and modeling, anomaly detection techniques and applications, network security and intrusion detection, and smart parking systems research.

Frequent coauthors in their research collaborations are Ruixia Wang, Yabo Zhang, Hailong Jin, Yang Liu, and Tiexing Wang.

They have published multiple papers in distinctive venues with the most recurrent being arXiv (Cornell University) and SSRN Electronic Journal, followed by IEEE Transactions on Information Theory, Advanced Electronic Materials, and IEEE Transactions on Neural Networks and Learning Systems.

Biao Chen was recognized as an IEEE Fellow in 2015 for contributions to decentralized signal processing in sensor networks and interference management of wireless networks.

Best Publications

  • Deriving private information from randomized data

    Zhengli Huang;Wenliang Du;Biao Chen

  • A New Outer Bound and the Noisy-Interference Sum–Rate Capacity for Gaussian Interference Channels

    Xiaohu Shang;G. Kramer;Biao Chen

  • Channel aware decision fusion in wireless sensor networks

    Biao Chen;Ruixiang Jiang;T. Kasetkasem;P.K. Varshney

  • Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks

    Ruixin Niu;Biao Chen;P.K. Varshney

  • Channel-aware distributed detection in wireless sensor networks

    Biao Chen;Lang Tong;P.K. Varshney

  • Fusion of censored decisions in wireless sensor networks

    Ruixiang Jiang;Biao Chen

  • On the optimality of the likelihood-ratio test for local sensor decision rules in the presence of nonideal channels

    Biao Chen;P.K. Willett

  • Maximum likelihood estimation of OFDM carrier frequency offset

    Biao Chen;Hao Wang

  • Maximum likelihood estimation of OFDM carrier frequency offset

    Biao Chen

  • MIMO communications in ad hoc networks

    Biao Chen;M.J. Gans

  • Decision fusion rules in multi-hop wireless sensor networks

    Ying Lin;Biao Chen;P.K. Varshney

  • Blind estimation of OFDM carrier frequency offset via oversampling

    Biao Chen;Hao Wang

  • Multiuser MISO Interference Channels With Single-User Detection: Optimality of Beamforming and the Achievable Rate Region

    Xiaohu Shang;Biao Chen;H V Poor

  • A New Framework for Distributed Detection With Conditionally Dependent Observations

    Hao Chen;Biao Chen;P. K. Varshney

  • A Bayesian sampling approach to decision fusion using hierarchical models

    Biao Chen;P.K. Varshney

  • Capacity Regions and Sum-Rate Capacities of Vector Gaussian Interference Channels

    Xiaohu Shang;Biao Chen;Gerhard Kramer;H Vincent Poor

  • Capacity Bounds for Broadcast Channels With Confidential Messages

    Jin Xu;Yi Cao;Biao Chen

  • Channel-optimized quantizers for decentralized detection in sensor networks

    Bin Liu;Biao Chen

  • Cryptographic link signatures for spectrum usage authentication in cognitive radio

    Xi Tan;Kapil Borle;Wenliang Du;Biao Chen

  • Detection of hidden Markov model transient signals

    B. Chen;P. Willett

  • Decision fusion rules in multi-hop wireless sensor networks

    Lin Ying;Biao Chen;Pramod K. Varshney

  • Multi-User MISO Interference Channels with Single-User Detection: Optimality of Beamforming and the Achievable Rate Region

    Xiaohu Shang;Biao Chen;H. Vincent Poor

Frequent Co-Authors

Pramod K. Varshney
Pramod K. Varshney Syracuse University
Gerhard Kramer
Gerhard Kramer Technical University of Munich
H. Vincent Poor
H. Vincent Poor Princeton University
Peter Willett
Peter Willett University of Connecticut
Lang Tong
Lang Tong Cornell University
Yingbin Liang
Yingbin Liang The Ohio State University
Rui Zhang
Rui Zhang National University of Singapore
Rick S. Blum
Rick S. Blum Lehigh University
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Electronics and Electrical Engineering often opens doors to diverse career opportunities. For working professionals, flexible options like online degree programs for working adults offer a convenient way to balance education with career demands. These programs are designed to accelerate learning while accommodating busy schedules.

Beyond traditional engineering roles, interdisciplinary paths such as an instructional design masters degree online can blend technical expertise with education, preparing graduates to develop training materials and learning systems within tech industries.

Many students also explore what is a competency based masters degree, a format that emphasizes mastering skills over time spent in class. This method is ideal for those wanting to demonstrate proficiency quickly and efficiently, especially in technical fields.

Additionally, military families can benefit from tailored options like military spouse online college programs that provide flexibility and support. These pathways help ease challenges of frequent relocations while advancing education and career goals in engineering and related areas.

Best Scientists Citing Biao Chen

Trending Scientists