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Tiong-Sik Ng 황충식 ン・ティオング・シーク

Resume Curriculum Vitae

About Me

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  • Yonsei University, South Korea – Doctorate in Engineering.
  • Fields: Deep Learning, Biometrics Security, Cryptography and Security

    • Employment Experience

    Recogine Technology Sdn. Bhd.

    Research and Development Engineer

  • Developed computer vision models for vehicle classification and license plate recognition (LPR) using TensorFlow and Keras.
  • Automated data preprocessing pipelines with Bash scripts and conducted model performance evaluations.
  • Contributed to real-time visual inference systems deployed in transport monitoring.
  • Integrated Docker to containerize CV workflows for testing and reproducibility.

    • Hitachi Hokenso Sdn. Bhd.

    Application Engineer

  • Maintained and deployed enterprise-grade backend systems using the Java Spring Framework and Oracle WebLogic Server.
  • Designed SQL stored procedures and generated operational reports via Jasper Framework.
  • Applied version control and collaborative development using Git for backend modules.

    • Multimedia University

    Research Assistant

  • Conducted academic research on digital signature schemes and provable security, with a focus on tight reduction techniques.
  • Assisted in formalizing authentication protocols suitable for privacy-preserving or safety-critical systems, contributing to publication-oriented cryptographic analysis.

    • NetEon Sdn. Bhd.

    Technical Assistant (Internship)

    Learnt how to interface computer hardware for industrial purposes, such as soldering and adding components in circuit boards and also configuring radio antennas.

    Education

    Yonsei University

    2020 - 2025

    Doctorate of Engineering

    On the Realization of Conditional Periocular-Face Biometrics for Flexible Deployment

    Multimedia University

    2016 - 2019

    Master of Science in Information Technology

    Design of Tight Security Reduction for Signature Schemes

    Multimedia University

    2012 - 2016

    Bachelor of Engineering (Hons.) Electronics Majoring in Computer

    Secure Digital Medical Certificate System: Identity-Based Signatures

    Projects

    NRF Project (S. Korea): Multimodal Biometrics Conditioning and Data-driven Template Hashing (Member - Ph.D. Researcher)

    Researched advanced facial and periocular based recognition techniques using AI. Worked on improving security by protecting biometric data with special encryption methods. Developed innovative methods to recognize faces even when partially covered by masks or sunglasses.

    Malaysian Digital Signature Algorithm Proposal: TNC Signature Scheme (MySEAL)

    Proposed the TNC Signature, compatible with Schnorr signatures, providing full security proof and implementation using C and Libgcrypt for both discrete logarithm and elliptic curve settings.

    Slides for Technical Report

    FRGS Project (Malaysia): Tight Security Reduction Techniques for Cryptography Primitives (Member - M. Sc. Researcher)

    Studied the effectiveness and techniques of security reduction in cryptographic schemes. Applied security reduction methods to enhance the security of existing digital signature schemes.

    ITEX Exhibition 2016: An Online Digital Medical Certificate System Using Identity-Based Signature (Member - Undergraduate Project)

    Implemented Cha-Cheon's IBS and ECC-based ElGamal encryption using Java Applet, integrating QR code-based digital signature generation on Android with web server verification.

    Selected Publications

    [Journal] Gao C., Yang Z., Ng, T. S., Zhu M. & Teoh, A. B. J.
    Bridging the Divide Between Left and Right Palmprints for Cross-Chirality Verification.
    IEEE Internet of Things Journal, vol.12, no.15, pp. 32046–32057, 2025.
    [Journal] Ng, T. S., Kim, J., & Teoh, A. B. J.
    Flexible Secure Biometrics: A Protected Modality-Invariant Face-Periocular Recognition System.
    IEEE Transactions on Information Forensics and Security, vol. 20, pp. 4610–4621, 2025.
    [Journal] Ng, T. S., & Teoh, A. B. J.
    Attention-aware ensemble learning for face-periocular cross-modality matching.
    Applied Soft Computing, vol. 175, pp. 113044, 2024.
    [Conference] Tan, S.Y., Ng, T. S., & Heng, S.H.
    Efficient Fork-Free BLS Multi-signature Scheme with Incremental Signing.
    International Conference on Provable Security (ProvSec), pp. 250–268, 2024.
    [Journal] Ng, T. S., Chai, J. C. L., Low, C. Y., & Teoh, A. B. J.
    Self-Attentive Contrastive Learning for Conditioned Periocular and Face Biometrics.
    IEEE Transactions on Information Forensics and Security, vol. 19, pp. 3251–3264, 2024.
    [Journal] Ng, T. S., Low, C. Y., Chai, J. C. L., & Teoh, A. B. J.
    On the Representation Learning of Conditional Biometrics for Flexible Deployment.
    IEEE Access, vol. 11, pp. 82338–82350, 2023.
    [Conference] Chai, J. C. L., Ng, T. S., Low, C. Y., Park, J., & Teoh, A. B. J.
    Recognizability embedding enhancement for very low-resolution face recognition and quality estimation.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9957–9967, 2023.
    [Conference] Ng, T. S., Low, C. Y., Chai, J. C. L., & Teoh, A. B. J.
    Conditional Multimodal Biometrics Embedding Learning For Periocular and Face in the Wild.
    International Conference on Pattern Recognition (ICPR), pp. 812–818, 2022.
    [Conference] Ng, T. S., & Teoh, A. B. J.
    Fuzzy MP - A Fuzzy Digital Signature Scheme with Biometrics.
    International Conference on Mobile Networks and Management (EAI-MONAMI), pp. 299–315, 2022.
    [Conference] Ng, T. S., Tan, S. Y., & Chin, J. J.
    Improving Signature Schemes With Tight Security Reductions.
    International Conference on Information Security Practice and Experience (ISPEC), pp. 273–292, 2019.
    [Conference] Ng, T. S., Tan, S. Y., & Chin, J. J.
    A Variant of BLS Signature Scheme with Tight Security Reduction.
    International Conference on Mobile Networks and Management (EAI-MONAMI), pp. 150–163, 2017.
    [Conference] Ng, T. S., Tan, S. Y., & Chin, J. J.
    A Variant of Schnorr Signature Scheme with Tight Security Reduction.
    International Conference on Information and Communication Technology Convergence (ICTC), pp. 411–415, 2017.

    Skills

    Technical Skills

    Deep Learning Modeling

    Languages

    Others

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