Tiong-Sik Ng

About Me

(Updated 16th March, 2025.)

Yonsei University, South Korea - Doctorate in Engineering. (연세대학교, 대한민국 - 공학 박사 학위.)

Fields: Deep Learning, Biometrics Security, Cryptography and Security

아직 한국어 시험을 쳐본적은 없지만, 한국생활을 더 잘하고 싶어서 한국어를 매일 공부하고 있어요. 올해 TOPIK 3 시험도 칠거에요 (2025년5월).

Employment Experience

Recogine Technology Sdn. Bhd.

Research and Development Engineer

Worked on vehicle classification using TensorFlow and Keras. Helped train and test license plate recognition (LPR) models and created scripts for preparing datasets and analyzing model performance.

Hitachi Hokenso Sdn. Bhd.

Application Engineer

Worked as a back-end developer using the Java Spring Framework, handling debugging and server deployment with Oracle WebLogic Server. Created reports utilizing Jasper Framework and SQL stored procedures.

Multimedia University

Research Assistant

Served as a research assistant, focusing on cryptographic digital signatures and security proofs, analyzing signature schemes to enhance their security through tight reduction techniques.

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 (유연한 배포를 위한 조건부 눈 주위-얼굴 생체인식의 구현)

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 - Master 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

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.
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.
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.
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.
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.
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.
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.
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.
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.

About Me

Employment Experience

Recogine Technology Sdn. Bhd.

Research and Development Engineer

Hitachi Hokenso Sdn. Bhd.

Application Engineer

Multimedia University

Research Assistant

NetEon Sdn. Bhd.

Technical Assistant (Internship)

Education

Yonsei University

Doctorate of Engineering

Multimedia University

Master of Science in Information Technology

Multimedia University

Bachelor of Engineering (Hons.) Electronics Majoring in Computer

Projects

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

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

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

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

Selected Publications

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