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Tiong-Sik Ng 황충식 ン・ティオング・シーク

Assistant Professor | Artificial Intelligence, Biometrics, Computer Vision, Cryptography, Secure Machine Learning

Curriculum Vitae

About Me

  • Last Updated:

  • I am an Assistant Professor at Xiamen University Malaysia, working in the areas of artificial intelligence, biometrics, computer vision, and secure machine learning. My research focuses on flexible and privacy-aware biometric recognition, particularly systems that remain reliable under practical conditions such as occlusion, modality mismatch, low image quality, and deployment constraints. The biometric modalities include, but are not limited to, face and periocular biometrics.

  • I received my Doctorate in Engineering from Yonsei University, where my doctoral research investigated conditional periocular-face biometrics for flexible deployment. My broader research interests include deep representation learning, biometric template protection, multimodal learning, and the security aspects of AI-enabled recognition systems.

  • Alongside research, I teach and supervise undergraduate students in computing and cybersecurity-related areas, including biometrics, cryptanalysis, computer architecture, and AI-based research projects.

    • Research Interests

    Flexible Biometric Recognition Secure Biometric Template Protection Multimodal Learning Cryptography and Provable Security

    Latest News

    • 2026 — Published a survey on flexible and secure biometrics in Information Fusion.
    • 2026 — Joined Xiamen University Malaysia as an Assistant Professor.
    • 2025 — Joined Placa Inc. as AI and Software Technology Development Engineer.
    • 2025 — Published work on flexible secure biometric recognition in IEEE Transactions on Information Forensics and Security.
    • 2025 — Graduated from Yonsei University.

    Employment Experience

    Academic, research, and industry roles across artificial intelligence, cybersecurity, software systems, and applied research.

    Xiamen University

    Assistant Professor

  • Teach undergraduate courses in computing and cybersecurity, including biometrics, cryptanalysis, computer architecture, and related technical modules.
  • Supervise undergraduate research projects, final-year projects, and internship students in AI, computer vision, cybersecurity, and software development topics.
  • Contribute to academic administration, assessment preparation, curriculum support, student mentoring, and research grant development.

    • 주식회사 플라카 (Placa Inc.)

    AI and Software Technology Development Engineer

  • Architected and deployed an Amazon Connect + Lex V2 (ko_KR) automated call system integrating Lambda, S3, DynamoDB, and CloudWatch, enabling real-time utterance capture, AI-powered response handling, and natural conversational flows for Korean-speaking users.
  • Built and adapted TTS pipelines using FishSpeech, OpenVoice, ElevenLabs, XTTS, and VALL-E for Korean voice generation.
  • Fine-tuned an insurance-domain Korean chatbot with intent classification, retrieval-augmented generation, and evaluation tooling.
  • Configured FreeSWITCH and SIP-based telephony workflows for RTC bridging, internal routing, and hybrid call automation.

    • 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

    My academic training and research foundations in engineering, biometrics, and cryptographic security.

    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

    Selected research and development projects in biometrics, cryptography, AI systems, and secure applications.

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

    Researched deep learning-based face and periocular biometric recognition for flexible deployment under occlusion and cross-modality settings. Developed conditional embedding and biometric template protection methods for privacy-preserving recognition.

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

    Co-developed the TNC Signature Scheme, a Malaysian digital signature algorithm proposal compatible with Schnorr signatures. Contributed to formal security proofs and C/Libgcrypt implementation under discrete logarithm and elliptic curve settings.

    Slides for Technical Report

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

    Investigated tight security reduction techniques for digital signature schemes and cryptographic primitives. Applied formal reduction-based analysis to improve provable security guarantees under standard model assumptions.

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

    Implemented a secure digital medical certificate prototype using identity-based signatures, ECC-based encryption, QR code generation, and server-side verification. The system was demonstrated at ITEX 2016 and received a Gold Award.

    Selected Publications

    Selected publications in biometric recognition, computer vision, secure machine learning, and cryptographic security.

    [Journal] Tiong, L. C. O., Sigmund, D., Ng, T. S. & Teoh, A. B. J.
    From unimodal to flexible: A survey of generalized biometric systems.
    Information Fusion, vol.133, pp. 104267, 2026.
    [Book Chapter] Krivokuća Hahn, V., Valenti, M., Talreja, V., Nasrabadi, N., Ng, T. S. & Teoh, A. B. J.
    Using Neural Networks to Learn Biometric Template Protection.
    Handbook of Biometric Template Protection, pp. 171–201, 2025.
    [Journal] Kim, J., Ng, T. S., Kim, T. & Teoh, A. B. J.
    Cross-Model Face Recognition via Guided Alignment Mutual Decoupled Distillation.
    IEEE Signal Processing Letters, vol.33, pp. 466–470, 2025.
    [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 and tools used across research, teaching, software development, and AI system implementation.

    Technical Skills

    Deep Learning Model Development

    Languages

    Others

    Get in Touch

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