Lai, Khin Wee
Taylor's University, University of Technology Malaysia, Technische Universität Ilmenau
Research areas: Computer Science · Computer Vision and Pattern Recognition · Medical Image Segmentation Techniques · Artificial Intelligence in Healthcare and Education · Medical Imaging and Analysis
About
Professor Ir. Ts. Dr. Lai Khin Wee is a Professor in the School of Engineering at Taylor’s University, Malaysia, and formerly served as Head of Biomedical Engineering and Deputy Dean (Research) at Universiti Malaya.
His research focuses on artificial intelligence in medicine, deep learning, medical image analysis, multimodal fusion of electronic medical records and clinical imaging, trustworthy AI, and intelligent biomedical technologies. He has authored over 200 scholarly publications (Scopus h-index: 36; Google Scholar h-index: 43) and contributed to 17 patents and intellectual property outputs.
He is recognised among the World’s Top 2% Scientists by Stanford University–Elsevier, in Artificial Intelligence and Image Processing, and was named a Top Research Scientist Malaysia (TRSM) 2025 by the Academy of Sciences Malaysia. His distinctions also include the BEM Most Prominent Young Engineering Leader Award 2022 and IEM Young Engineer Award 2021.
He is a Fellow of Engineers Australia and the Institution of Engineers Malaysia, a registered Professional Engineer with Practising Certificate (Malaysia), a UK Chartered Engineer, an Australian Chartered Professional Engineer, and a Senior Member of IEEE.
He serves on the Executive Committee of the TWAS Young Affiliates Network and as Associate Editor of IET Image Processing. His research encompasses international scientific collaborations and industry-funded healthcare technology development, particularly in AI-driven diagnostics, smart health monitoring and biomedical device innovation.
Employment
-
Taylor's University Professor2026 - Present
Education
-
Technische Universitat Ilmenau PhD, DAAD Sandwich Program
Projects & Funding
-
Development of Computed Tomography (CT)-Ultrasound (US) Derived Fusion for Cardiovascular Imaging Ministry of Science Technology and Innovation, Malaysia2014 - 2016
-
Ultrasound Knee Biomarker Feature Extraction for Early Osteoarthritis Detection University Malaya Research Grant2013 - 2016
-
Investigation of One Dimensional Ultrasound's Sensitivity as a Monitoring Method of Minimally Invasive Thermal Therapy Ministry of Education2013 - 2015
Publications (214)
- Privacy-preserving machine learning with homomorphic encryption for diabetes mellitus detection Save
- Multimodal late fusion for heart failure diagnosis using tabular and chest X-ray data: A comparative study of fusion strategies Save
- Robust source-free few-shot brain tumor segmentation via style perturbation and heatmap-guided consistency Save
- Predicting heart failure using MIMIC-IV and MIMIC-IV-ED: a comparative study of machine learning and deep learning models Save
- Distribution entropy regularized multimodal subspace support vector data description for anomaly detection Save
- Robust Few-Shot segmentation for multi-modal medical images using Fourier-Guided style fusion and prototype alignment Save
- High-throughput thickness analysis of 2D materials enabled by intelligent image segmentation Save
- Multivariant interfacial/ferroelectric/dipole polarization strengthened microwave-catalysis eradicates deep bacteria-infected osteomyelitis Save
- State-of-the-art artificial intelligence approaches for anomaly detection and remaining useful life prediction: a review Save
- ANALYSIS OF ELECTROMYOGRAPHY (EMG) SIGNALS AND FORCE OUTPUT PRE- AND POST-FATIGUE DUE TO REPEATED PEDAL PRESSING MOTION IMITATING A HEAVY TRAFFIC DRIVING Save
- Eco-friendly multifunctional CeO2/ZnMn2O4 heterojunction with robust photocatalysis for rapid bacteria-killing and highly effective eradication of formaldehyde simultaneously Save
- Trapezoidal Step Scheduler for Model-Agnostic Meta-Learning in Medical Imaging Save
- EXAMINING PAIN REDUCTION AND PHYSIOLOGICAL CHANGES WITH FAR-INFRARED GRAPHENE-BASED THERMOTHERAPY IN LOW BACK PAIN MANAGEMENT Save
- A Novel Centralized Federated Deep Fuzzy Neural Network with Multi-objectives Neural Architecture Search for Epistatic Detection Save
- BrainAdaptNet: A few-shot learning model for brain tumor segmentation in low-quality MRI Save
- Evaluating fine-tuned GPT models on different datasets in the healthcare domain Save
- Learning-Driven Algorithm With Dual Evolution Patterns for Solving Large-Scale Multiobjective Optimization Problems Save
- Multisource and Hidden Source-Based Knowledge Transfer for Solving Dynamic Multiobjective Optimization Problems Save
- Predicting Medical Device Life Expectancy and Estimating Remaining Useful Life Using a Data-Driven Multimodal Framework Save
- Spinal Alignment Analysis for Mattress Selection Across Different Age Groups and BMI Categories: A Preliminary Study Save