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Assistant Professor

Pai Chet Ng

Assistant Professor
Ph.D. in Electronic and Computer Engineering , Hong Kong University of Science and Technology, Hong Kong SAR China
Cluster:
Infocomm Technology
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Biography

I am currently an Assistant Professor at the Singapore Institute of Technology (SIT). Prior to this role, I served as a Postdoctoral Fellow at the Department of Electrical and Computer Engineering, University of Toronto. I obtained my Ph.D. degree from the Hong Kong University of Science and Technology.

During my time as a Postdoctoral Fellow, I actively collaborated with Ph.D. students and industry research scientists, spearheading diverse projects ranging from human activity recognition to human stress detection. As a project manager, I undertook the responsibilities of coordinating meetings, assimilating research inputs, and providing progress updates to sponsors.

My research during my Ph.D. studies yielded over 10 publications in top-tier IEEE journals and conferences, including the IEEE IoT Journal, the IEEE Transactions on Mobile Computing, and the IEEE Transactions on Wireless Communications. My research pursuits are centered around the application of artificial intelligence techniques to hyperspectral imaging on consumer devices, applied AI for applications in Internet of Things (IoT) and physiological signal processing, multimodal sensing and federated learning, wireless positioning and sensing, and human-robot interaction.

SIT Appointments

  • Assistant Professor
    – Present

Education

  • Ph.D. in Electronic and Computer Engineering
    Hong Kong University of Science and Technology , Hong Kong SAR China

Achievements

  • HKUST Overseas Research Award
    –
  • HKTIIT Post-Graduate Excellence Scholarships
  • IEEE R10 Paper Contest Special Price for WIE
  • SENG (School of Engineering) Academic Award
    –
  • IEEE ComSoc Student Travel Grant Award
  • SmartSens Postgraduate Scholarship
  • SENG (School of Engineering) Top RPg Award
    –

Professional Memberships

  • IEEE Signal Processing Society
    – Present
  • IEEE Council on IEEE Internet of Things Community
    – Present
  • IEEE Computer Society Technical Community on Computer Communications
    – Present
  • IEEE Women in Engineering
    – Present
  • IEEE Young Professionals
    – Present
  • IEEE Member
    – Present

Corporate Experience

  • Reviewer of IEEE TMC, IEEE JIoT, IEEE TMM, ACM TOMM, IEEE Globecom, IEEE ICC, IEEE WCNC, IEEE PIMRC, IEEE Sensor Letter, IEEE Pervasive Magazine, NeurIPS Dataset and Benchmark Track
    Present
  • Judges and Idea Sharing for BLE Beacons Workshop, HKUST and Chungbuk University
    –
  • Helper and Receptionist, Asian Deans' Forum 2018 The Rising Stars Women in Engineering
    –
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Research Interests

  • Applied AI for Internet of Things
  • Computational Hyperspectral Imaging on Consumer Devices
  • Federated Learning for smart home and smart workplace context
  • Driving Behavior and Human-robot Interaction
  • Multimodal sensing and Physiological signal processing
  • Wireless Positioning and Sensing
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Journal Papers

  • L. Zhu, P. Spachos, P. C. Ng, Y. Yu, Y. Wang, K. Plataniotis, and D. Hatzinakos, “Stress detection through wrist-based
    electrodermal activity monitoring and machine learning,” IEEE Journal of Biomedical and Health Informatics, pp.
    1–11, 2023.

  • P. C. Ng, P. Spachos, J. She, and K. Plataniotis, “A Kernel Method to Nonlinear Location Estimation with RSS-based
    Fingerprint,” IEEE Transactions on Mobile Computing, pp. 1–1, 2022.

  • P. C. Ng and J. She, “Remote Proximity Sensing with a Novel Q-learning on Bluetooth Low Energy Network,” IEEE
    Transactions on Wireless Communications, pp. 1–1, 2022.

  • P. C. Ng, P. Spachos, S. Gregori, and K. N. Plataniotis, “Epidemic Exposure Tracking With Wearables: A Machine
    Learning Approach to Contact Tracing,” IEEE Access, vol. 10, pp. 14 134–14 148, 2022.

  • P. C. Ng, J. She, and P. Spachos, “Energy-Efficient Overlay Protocol for BLE Beacon-based Mesh Network,” IEEE
    Transactions on Mobile Computing, pp. 1–1, 2021.

  • P. C. Ng, P. Spachos, S. Gregori, and K. N. Plataniotis, “Personal devices for contact tracing: Smartphones and
    wearables to fight covid-19,” IEEE Communications Magazine, vol. 59, no. 9, pp. 24–29, 2021.

  • P. C. Ng, P. Spachos, and K. N. Plataniotis, “COVID-19 and Your Smartphone: BLE-Based Smart Contact Tracing,”
    IEEE Systems Journal, vol. 15, no. 4, pp. 5367–5378, 2021.

  • P. C. Ng, J. She, and R. Rong, “Compressive RF Fingerprint Acquisition and Broadcasting for Dense BLE Networks,”
    IEEE Transactions on Mobile Computing, pp. 1–1, 2020.

  • P. C. Ng, J. She, and R. Ran, “A Reliable Smart Interaction With Physical Thing Attached With BLE Beacon,” IEEE
    Internet of Things Journal, vol. 7, no. 4, pp. 3650–3662, April 2020.

  • P. C. Ng and J. She, “Denoising-Contractive Autoencoder for Robust Device-Free Occupancy Detection,” IEEE
    Internet of Things Journal, vol. 6, no. 6, pp. 9572–9582, Dec 2019.

  • P. C. Ng, J. She, and R. Ran, “A Compressive Sensing Approach to Detect the Proximity between Smartphones and
    BLE Beacons,” IEEE Internet of Things Journal, pp. 1–1, 2019.

  • K. E. Jeon, J. She, P. Soonsawad, and P. C. Ng, “BLE Beacons for Internet of Things Applications: Survey, Challenges,
    and Opportunities,” IEEE Internet of Things Journal, vol. 5, no. 2, pp. 811–828, April 2018.

  • P. C. Ng, J. She, and S. Park, “High Resolution Beacon-Based Proximity Detection for Dense Deployment,” IEEE
    Transactions on Mobile Computing, vol. 17, no. 6, pp. 1369–1382, June 2018.

  • P. C. Ng, J. She, K. E. Jeon, and M. Baldauf, “When Smart Devices Interact With Pervasive Screens: A Survey,”
    ACM Trans. Multimedia Comput. Commun. Appl., vol. 13, no. 4, pp. 55:1–55:23, Aug. 2017.

Conferences

  • L. Zhu, P. C. Ng, Y. Yu, Y. Wang, P. Spachos, D. Hatzinakos, and K. N. Plataniotis, “Feasibility study of stress
    detection with machine learning through eda from wearable devices,” in ICC 2022 - IEEE International Conference on
    Communications, 2022, pp. 4800–4805.

  • D. Y. Hwang, P. C. Ng, Y. Yu, Y. Wang, P. Spachos, D. Hatzinakos, and K. N. Plataniotis, “Hierarchical Deep
    Learning Model with Inertial and Physiological Sensors Fusion for Wearable-Based Human Activity Recognition,” in
    2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022, pp. 21–25.

  • P. C. Ng, J. She, P. Spachos, and R. Ran, “A Fast Item Identification and Counting in Ultra-dense Beacon Networks,”
    in 2020 IEEE Global Communications Conference (Globecom), Dec 2020, pp. 1–6.

  • P. C. Ng, J. She, and R. Ran, “Towards Sub-Room Level Occupancy Detection with Denoising-Contractive Autoencoder,”
    in 2019 IEEE International Conference on Communications (ICC), May 2019, pp. 1–6.

  • P. C. Ng and J. She, “A Novel Overlay Mesh with Bluetooth Low Energy Network,” in 2019 IEEE Wireless
    Communications and Networking Conference (WCNC), April 2019, pp. 1–6.

  • P. C. Ng, J. She, and S. Park, “Notify-and-interact: A Beacon-smartphone Interaction for User Engagement in
    Galleries,” in 2017 IEEE International Conference on Multimedia and Expo (ICME), July 2017, pp. 1069–1074.

  • P. Soonsawad, K. E. Jeon, J. She, C. H. Lam, and P. C. Ng, “Maximizing Energy Harvesting with Adjustable Solar
    Panel for BLE Beacon,” in 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing
    and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data
    (SmartData), July 2019, pp. 229–234.

  • C. H. Lam, P. C. Ng, and J. She, “Improved Distance Estimation with BLE Beacon Using Kalman Filter and SVM,”
    in 2018 IEEE International Conference on Communications (ICC), May 2018, pp. 1–6.

  • L. Zhu, R. Ran, P. C. Ng, and J. She, “Using Generalized Similarity Filter to Enhance Proximity Detection for Sparse
    Beacon Deployment,” in 2017 International Conference on Information and Communication Technology Convergence
    (ICTC), Oct 2017, pp. 433–438.

  • P. C. Ng, L. Zhu, J. She, R. Ran, and S. Park, “Beacon-based Proximity Detection using Compressive Sensing for
    Sparse Deployment,” in 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia
    Networks (WoWMoM), June 2017, pp. 1–6.

  • P. C. Ng, J. She, M. Cheung, and A. Cebulla, “An Images-Textual Hybrid Recommender System for Vacation Rental,”
    in 2016 IEEE Second International Conference on Multimedia Big Data (BigMM), April 2016, pp. 60–63.

  • P. C. Ng, “Optimization of Spectrum Sensing for Cognitive Sensor Network using Differential Evolution Approach in
    Smart Environment,” in 2015 IEEE 12th International Conference on Networking, Sensing and Control, April 2015, pp.
    592–596.

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