LK

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

ORCID iD 0000-0002-8602-0533

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

Education

Projects & Funding

  • Development of Computed Tomography (CT)-Ultrasound (US) Derived Fusion for Cardiovascular Imaging Ministry of Science Technology and Innovation, Malaysia
    2014 - 2016
  • Ultrasound Knee Biomarker Feature Extraction for Early Osteoarthritis Detection University Malaya Research Grant
    2013 - 2016
  • Investigation of One Dimensional Ultrasound's Sensitivity as a Monitoring Method of Minimally Invasive Thermal Therapy Ministry of Education
    2013 - 2015

Publications (214)