Biography

Tiong-Sik Ng is currently an Assistant Professor at Xiamen University Malaysia. He earned his Bachelor of Engineering (Hons.) Electronics Majoring in Computer and Master in Science (Information Technology) at Multimedia University, Malaysia. In 2025, he obtained his Doctorate in Engineering degree from Yonsei University, South Korea.
During his Bachelor’s and Master’s studies, his research was focused on cryptography and its application, alongside provable security. During his Doctoral studies, his research expanded to artificial intelligence and deep learning, with a particular emphasis on biometrics recognition, multimodal biometrics, and biometric template protection.
 

Research Interest

Biometric Recognition, Biometric Template Protection, Multimodal Biometrics, Deep Learning, AI Security, Cryptography, Provable Security

Educational Background

• Doctorate in Engineering, Yonsei University, South Korea (2025)
• Master in Science (Information Technology), Multimedia University, Malaysia (2019)
• Bachelor of Engineering (Hons.) Electronics Majoring in Computer, Multimedia University, Malaysia (2016)

Working Experience

• Assistant Professor, Xiamen University, Malaysia (2026 – Present)

• AI and Software Technology Development Engineer, Placa Inc., South Korea (2025 – 2026)

Research Experience

• Doctoral Candidate Researcher, Yonsei University, South Korea (2020 – 2025)
• Research Officer, Multimedia University, Malaysia (2019 – 2020)
• Research Assistant, Multimedia University, Malaysia (2016 – 2018)

Representative Publications

• Full publication list:  https://scholar.google.com/citations?user=oT2_EAEAAAAJ&hl=en
• V. Krivokuća Hahn, M. Valenti, V. Talreja, N. Nasrabadi, T.-S. Ng, and A. B. J. Teoh, “Using neural networks to learn biometric template protection,” in Handbook of Biometric Template Protection: Motivation, Methods and Metrics, V. Krivokuća Hahn, M. Gomez-Barrero, A. Ross, and S. Marcel, Eds. Singapore: Springer, 2026, pp. 171–201, doi: 10.1007/978-981-95-0995-9_7.
• T.-S. Ng, J. Kim, and A. B. J. Teoh, “Flexible secure biometrics: A protected modality-invariant face-periocular recognition system,” IEEE Trans. Inf. Forensics Security, vol. 20, pp. 4610–4621, 2025, doi: 10.1109/TIFS.2025.3559785.
• T.-S. Ng and A. B. J. Teoh, “Attention-aware ensemble learning for face-periocular cross-modality matching,” Appl. Soft Comput., vol. 175, p. 113044, 2025, doi: 10.1016/j.asoc.2025.113044.
• T.-S. Ng, J. C. L. Chai, C.-Y. Low, and A. B. J. Teoh, “Self-attentive contrastive learning for conditioned periocular and face biometrics,” IEEE Trans. Inf. Forensics Security, vol. 19, pp. 3251–3264, 2024, doi: 10.1109/TIFS.2024.3361216.
• T.-S. Ng, C.-Y. Low, J. C. L. Chai, and A. B. J. Teoh, “On the representation learning of conditional biometrics for flexible deployment,” IEEE Access, vol. 11, pp. 82338–82350, 2023, doi: 10.1109/ACCESS.2023.3301150.
• J. C. L. Chai, T.-S. Ng, C.-Y. Low, J. Park, and A. B. J. Teoh, “Recognizability embedding enhancement for very low-resolution face recognition and quality estimation,” in Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR), 2023, pp. 9957–9967, doi: 10.1109/CVPR52729.2023.00960.
• T.-S. Ng, S. Y. Tan, and J. J. Chin, “Improving signature schemes with tight security reductions,” in Information Security Practice and Experience, S. H. Heng and J. Lopez, Eds., vol. 11879 of Lecture Notes in Computer Science. Cham: Springer, 2019, pp. 273–292, doi: 10.1007/978-3-030-34339-2_15.

Honors / Awards

• Scholarship: Hyundai Motor Company Chung Mong-koo Foundation (2020-2024)

• National Trusted Cryptographic Algorithm List Proposal (MySEAL): Malaysian Digital Signature Algorithm Proposal: TNC Signature Scheme (Finalist)
• International Invention and Innovation Exhibition 2016 (ITEX 2016): An Online Digital Medical Certificate System Using Identity-Based Signature (Gold)