
Always respectful and encouraging to all.
Creates a collaborative and inclusive space.
Brings enthusiasm to every interaction.
A true inspiration to all who learn.
Creates dynamic and thought-provoking lessons.
Leong Shu Min serves as a Lecturer in the School of Information Technology at Monash University Malaysia. Her academic journey began with a Bachelor of Engineering (Honours) in Electronics majoring in Computer, obtained from Multimedia University in 2018. She then pursued and completed a Master of Engineering Science from the same university in 2020, with her master's research on a Novel Local Binary Pattern-Based Algorithm for Face Recognition. Concurrently, from September 2018 to November 2019, she worked as a research officer at Multimedia University, focusing on security-related image processing techniques. In 2019, she joined Monash University Malaysia to pursue her Doctor of Philosophy in Information Technology under the supervision of Professor Raphaël C.-W. Phan and Associate Professor Vishnu Monn Baskaran. She was awarded her PhD on 31 May 2023 for the thesis titled "Privacy-preserving & Emotional Understanding of Human Faces based on Machine Learning Techniques".
Leong Shu Min's research specializations encompass face analysis, including emotion recognition, facial recognition, face analysis, privacy preservation, security, machine learning, and image processing. She has produced 10 research outputs, comprising 7 conference papers and 3 journal articles. Key publications include "Securing Face ID: Privacy Preservation for Non-Retentive Face Recognition System" (TENCON 2025), "BitRelation: Exploring Bit-Level Dependencies in Neural Cryptanalysis" (TENCON 2025), "Attack-SH: Adversarial Attacks on Self-Healing Material Properties Prediction Model" (TENCON 2025), "Causally Uncovering Bias in Video Micro-Expression Recognition" (ICASSP 2024, 6 citations), and "Distingusic: Distinguishing Synthesized Music from Human" (SMC 2024). As Chief Investigator, she is involved in the project "Æinstein: Adversarial AI amongst Materials Discovery Domains" (June 2024 to May 2026). Her project "Human Face: Unleashing the Unknown" investigates the human face as a biometric authenticator, tackling privacy issues and facial feature analysis for emotion detection. Leong Shu Min accepts PhD supervision from 2020 to 2025, teaches units like FIT5230 Malicious AI and FIT3143 Parallel Computing, and contributes to public discussions on Monash Lens, such as gender equity in technology.