ASSOCIATE PROF. IR. TS. DR. LAI KHIN WEE
Department of Biomedical Engineering
Faculty of Engineering
lai.khinweeum.edu.myView CV | |
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Biography | |
Dr. Lai received his Ph.D. from Universiti Teknologi Malaysia (UTM) and Technische Universität Ilmenau under the DAAD Ph.D. Sandwich Programme, and was conferred the prestigious Chancellor Award by the Queen of Johor. He is currently an Associate Professor and Head of the Department of Biomedical Engineering at Universiti Malaya, as well as the Chief Technology Officer (CTO) of BioSight Sdn Bhd, a spin-off company of Universiti Malaya. Dr. Lai has been instrumental in fostering industry-academic collaborations, leading multiple industrial consultation projects. His contributions to science and technology, particularly in medical engineering, have been significant. His research focuses on the development of innovative biomedical devices, including a portable, non-invasive scoliosis detection system and a point-of-care device for knee osteoarthritis diagnosis using vibroarthrography (VAG). More recently, he has pioneered novel machine learning approaches for automated cartilage pattern recognition in magnetic resonance imaging (MRI), reducing the need for extensive human intervention. His work has gained substantial interest from both local and international industries. Recognized for his excellence in research and education, Dr. Lai has received more than 30 prestigious international and national awards. These include multiple Special Awards and Gold Medals, as well as Best of the Best Awards from ITEX, MTE, i-ENVEX, AiNEX, PECIPTA, and BioMalaysia Expo, among others. He has also represented Universiti Malaya in global competitions such as iCREATe in Singapore, Thailand, and Japan. Additionally, he has been honored with accolades such as the Best Presentation Award from Fukuoka University (Japan), the Best Sustainable Prototype Award at Digital Wonderland Singapore Expo 2019, an Honorable Mention Award at NSIEC 2020 (Taiwan), and the First Runner-Up Award at the Brunei Crown Prince CIPTA 2021 competition. In recognition of his achievements, he was elected as a Member of the Young Scientists Network - Academy of Sciences Malaysia (YSN-ASM) in 2021 and as a board member of the World Academy of Sciences (TWAS) Young Affiliates Network (TYAN). Dr. Lai has authored over 140 peer-reviewed publications indexed in ISI/Web of Science (WoS) and Scopus, with an h-index of 22. His work has led to the granting of 17 patents and intellectual property rights. As principal investigator or co-researcher, he has successfully completed 22 funded projects and is currently leading 13 ongoing research initiatives supported by government agencies, industry partners, and international collaborators. As a credentialed engineer, Dr. Lai is a registered Professional Engineer with a Practicing Certificate (PEPC) at the Board of Engineers Malaysia (BEM) and holds several esteemed engineering titles, including Fellow of Engineers Australia (FIEAust), APEC Engineer (IntPE Australia), Chartered Professional Engineer (CPEng, NER Australia), Fellow and Council Member of the Institution of Engineers Malaysia (IEM), Senior Member of IEEE (USA), Member of the Institution of Engineering and Technology (IET), Chartered Engineer (CEng, UK), and Professional Technologist at the Malaysia Board of Technologists (MBOT). Dr. Lai is actively involved in academic and professional service, serving as a Technical Programme Committee (TPC) member and reviewer for over 50 international conferences, workshops, and journals. He has delivered more than 20 keynote and invited talks at international conferences. Additionally, he serves on the editorial boards of several indexed journals, including as Associate Editor of IEEE Access and IET Image Processing, and as Lead Guest Editor for journals such as Multimedia Tools and Applications and Current Medical Imaging. Beyond his academic and research endeavors, Dr. Lai plays a pivotal role in engineering education. He is the key resource person for curriculum development and accreditation reviews (EAC/MQA/QMEC) in his department and serves as an Accreditation Panel member under the Board of Engineers Malaysia. In 2018, he was appointed as a Fellow under the Ministry of Education Malaysia’s CEO@Faculty Programme, working with C-suite executives at PLUS Malaysia Berhad on digital innovation strategies for IR4.0 transformation. He played a key role in developing commercial strategies for the PLUS Video Analytics (VA) Infrastructure, a project with an investment exceeding RM20 million. Dr. Lai’s research excellence has been recognized with numerous awards, including the ACU Fellowship by the Association of Commonwealth Universities (UK) in 2021 for his research on hospital readmission risks among recovered COVID-19 patients. He was also honored with the IEM Young Engineer Award 2021, the IEEE-EMBS Early Career Achievement Award 2021, and the BEM Malaysia Most Prominent Young Engineering Leader Award (Tokoh Muda) 2022, presented by the Prime Minister of Malaysia. In 2024, he received the Anugerah Penyelidik Muda Cemerlang (Bidang Sains) from Universiti Malaya. As the head of the Advanced Analytics Research Group at the Medical Imaging Laboratory, Dr. Lai has supervised 62 postgraduate students (18 PhD, 8 MSc, and 19 MEng completed; 15 PhD and 2 MSc ongoing). His research team has secured over RM4 million in funding for healthcare technology, medical imaging, and bioinstrumentation projects. His innovations have led to the development of clinically impactful diagnostic prototypes, including OsteoKneeKit™ and Scoltech™, both of which are currently undergoing commercialization. The Scoltech™ project has been approved under the UM Deep Tech Accelerator Programme with RM50,000 in seed funding, with Dr. Lai serving as CTO. Additionally, Dr. Lai contributes as an external examiner for PhD and MSc dissertations, both locally and internationally, and serves as a professional mentor for IEM (Malaysia) and Engineers Australia. He is also an external assessor for higher learning accreditation frameworks, an advisor for industry-academic liaison units, and a board member for Universiti Sains Islam Malaysia’s (USIM) new technologist programme. Furthermore, he serves on the Disciplinary Committee Panel of the Advocates and Solicitors Disciplinary Board (ASDB) under the Bar Council Malaysia.
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Finance
Project Title | Progress | Status |
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Advanced Diagnostic Technologies Using Deep Learning, Graph Neural Networks, And Medical Imaging, Biosensors, And Biomems |
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new |
Transformative Generative AI-Based Patient-Centric Healthcare in the Era of Climate Change |
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new |
Elucidating Knee Osteoarthritis Multi-biomarkers For Pain Associated Radiological Features Prediction In Response To Nonpharmacological Interventions Using Multi-task Deep Hybrid Learning |
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on going |
This information is generated from Research Grant Management System |
Trapezoidal Step Scheduler for Model-Agnostic Meta-Learning in Medical Imaging
A Novel Centralized Federated Deep Fuzzy Neural Network with Multi-objectives Neural Architecture Search for Epistatic Detection
Electroencephalography (EEG) based epilepsy diagnosis via multiple feature space fusion using shared hidden space-driven multi-view learning
A modified single image dehazing method for autonomous driving vision system
Medical Imaging Technology: Reviews and Computational Applications, Lecture Note in Bioengineering. Springer, DOI 10.1007/978-981-287-540-2 ISBN 978-981-287-539-6 ISBN 978-981-287-540-2 (eBook) Library of Congress Control Number: 2013934273
Advances in Medical Diagnostic Technology. Lecture Notes in Bioengineering. Springer
Detection of Fetal Abnormalities Based on Three Dimensional Nuchal Translucency
Images Quality Enhancement System for Low End Ultrasound Machine: and its application using Matlab
Measurement of Ultrasound Attenuation and Protein Denaturation Behavior During Hyperthermia Monitoring
Position Tracking Systems for Ultrasound Imaging: A Survey
B-Mode Ultrasound Imaging Contrast Enhancement for Osteoarthritis Early Detection
Review on Image Guided Lung Biopsy