World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
13211
World Ranking
5022
National Ranking
2335

Research.com Recognitions

  • 2012 - ACM Distinguished Member

Overview

Chen-Nee Chuah is affiliated with the University of California, Davis in the United States. Their research spans multiple fields including Computer Science, Medicine, and Engineering, with a significant concentration on specialized subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Pulmonary and Respiratory Medicine, and Radiology, Nuclear Medicine and Imaging.

The scientist's work encompasses several main topics, notably:

  • Non-Invasive Vital Sign Monitoring
  • AI in cancer detection
  • Respiratory Support and Mechanisms
  • Digital Imaging for Blood Diseases
  • Radiomics and Machine Learning in Medical Imaging
  • Adversarial Robustness in Machine Learning
  • Medical Image Segmentation Techniques

Chen-Nee Chuah has an extensive publication record, with many articles appearing in reputable venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • Journal of Neuropathology & Experimental Neurology
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access

The scientist has collaborated regularly with several coauthors, such as:

  • Zhengfeng Lai
  • Brittany N. Dugger
  • Sen-ching S. Cheung
  • Luca Cerny Oliveira
  • Jason Y. Adams

Selected recent papers include:

  • "Predicting ASD diagnosis in children with synthetic and image-based eye gaze data," 2021, Signal Processing Image Communication
  • "Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care Unit," 2020, IEEE Pervasive Computing
  • "Adversarial Attacks and Defense in Deep Reinforcement Learning (DRL)-Based Traffic Signal Controllers," 2021, IEEE Open Journal of Intelligent Transportation Systems
  • "A Natural Language Processing and deep learning based model for automated vehicle diagnostics using free-text customer service reports," 2022, Machine Learning with Applications
  • "Minimizing L 1 over L 2 norms on the gradient," 2022, Inverse Problems

Chen-Nee Chuah was recognized as an ACM Distinguished Member in 2012. Their work integrates machine learning techniques with diverse applications in medical imaging, patient diagnosis, and intelligent transportation systems, reflecting an interdisciplinary approach to scientific research.

Best Publications

  • Capacity scaling in MIMO wireless systems under correlated fading

    Chen-Nee Chuah;D.N.C. Tse;J.M. Kahn;R.A. Valenzuela

  • Characterization of failures in an IP backbone

    A. Markopoulou;G. Iannaccone;S. Bhattacharyya;Chen-Nee Chuah

  • FIREMAN: a toolkit for firewall modeling and analysis

    Lihua Yuan;Hao Chen;Jianning Mai;Chen-Nee Chuah

  • Knowledge-based opportunistic forwarding in vehicular wireless ad hoc networks

    J. LeBrun;Chen-Nee Chuah;D. Ghosal;M. Zhang

  • Analysis of link failures in an IP backbone

    Gianluca Iannaccone;Chen-nee Chuah;Richard Mortier;Supratik Bhattacharyya

  • Platoon management with cooperative adaptive cruise control enabled by VANET

    Mani Amoozadeh;Hui Deng;Chen-Nee Chuah;H. Michael Zhang

  • Security vulnerabilities of connected vehicle streams and their impact on cooperative driving

    Mani Amoozadeh;Arun Raghuramu;Chen-nee Chuah;Dipak Ghosal

  • Characterization of failures in an operational IP backbone network

    Athina Markopoulou;Gianluca Iannaccone;Supratik Bhattacharyya;Chen-Nee Chuah

  • Unveiling facebook: a measurement study of social network based applications

    Atif Nazir;Saqib Raza;Chen-Nee Chuah

  • ProgME: towards programmable network measurement

    Lihua Yuan;Chen-Nee Chuah;Prasant Mohapatra

  • Adaptive Traffic Signal Control With Vehicular Ad hoc Networks

    Kartik Pandit;Dipak Ghosal;H. Michael Zhang;Chen-Nee Chuah

  • Is sampled data sufficient for anomaly detection

    Jianning Mai;Chen-Nee Chuah;Ashwin Sridharan;Tao Ye

  • BASS: BitTorrent Assisted Streaming System for Video-on-Demand

    C. Dana;D. Li;D. Harrison;C.-N. Chuah

  • Capacity of multi-antenna array systems in indoor wireless environment

    Chen-Nee Chuah;J.M. Kahn;D. Tse

  • Fast local rerouting for handling transient link failures

    Srihari Nelakuditi;Sanghwan Lee;Yinzhe Yu;Zhi-Li Zhang

  • ICEBERG: an Internet core network architecture for integrated communications

    H.J. Wang;B. Raman;Chen-Nee Chuah;R. Biswas

  • Energy-aware node placement in wireless sensor networks

    Peng Cheng;Chen-Nee Chuah;Xin Liu

  • Feasibility of IP restoration in a tier 1 backbone

    G. Iannaccone;Chen-Nee Chuah;S. Bhattacharyya;C. Diot

  • Proactive vs reactive approaches to failure resilient routing

    S. Lee;Yinzhe Yu;S. Nelakuditi;Zhi-Li Zhang

  • Uncovering Privacy Leakage in BLE Network Traffic of Wearable Fitness Trackers

    Aveek K. Das;Parth H. Pathak;Chen-Nee Chuah;Prasant Mohapatra

  • Platoon management with cooperative adaptive cruise control enabled

    Mani Amoozadeh;Chen-Nee Chuah;H. Michael Zhang;Dipak Ghosal

Frequent Co-Authors

Prasant Mohapatra
Prasant Mohapatra University of South Florida
Dipak Ghosal
Dipak Ghosal University of California, Davis
Gene Cheung
Gene Cheung York University
Puneet Sharma
Puneet Sharma Hewlett-Packard (United States)
Christophe Diot
Christophe Diot Google (United States)
Qing Zhao
Qing Zhao Cornell University
Biswanath Mukherjee
Biswanath Mukherjee University of California, Davis
Joseph M. Kahn
Joseph M. Kahn Stanford University
Randy H. Katz
Randy H. Katz University of California, Berkeley
Srihari Nelakuditi
Srihari Nelakuditi University of South Carolina

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