معرفی
Dr. Vincent Lee is an Associate Professor in the Department of Data Science & AI at Monash University's Faculty of IT. He specializes in machine learning, deep learning, and healthcare informatics. His research spans signal processing, data mining, and AI-driven solutions for healthcare and finance. Lee has secured over 22 competitive grants and published 200+ peer-reviewed articles in top journals like IEEE Transactions and Neurocomputing. He is a Fellow of the Institute of Engineers, Australia, and a registered electrical engineer in Singapore.
Education:
- PhD in Computer System Engineering (University of Newcastle, 1992)
- MBA (Brunel University London, 1991)
- MSc in Electrical Engineering (NUS, 1984)
- BBus (Hons I) in Economics and Finance (RMIT, 2002)
Research Interests: Lee's work focuses on AI/ML applications in healthcare (e.g., thyroid cancer diagnostics), secure multiparty computation, IoT analytics in precision medicine, and neuro-financial engineering. He has developed decision support systems for ICU patient care and thyroid treatment analytics. Recent projects include ESV-ML OCR pipeline design and Tokopedia's recommendation systems.
Grants & Awards: Recipient of Monash University's 2016 Dean of IT Excellence Award for Supervision. Principal investigator on 12+ projects funded by ARC, A*STAR, and industry partners like Energy Safe Victoria.
Teaching & Supervision: Supervised 30+ PhD and 35+ master's students. Taught courses like FIT3051 (Decision Support Systems), FIT5186 (Intelligent Systems), and FIT5163 (Computer Security).
Labs & Collaborations: Leads research in AI-driven healthcare systems and secure distributed computing. Collaborates with Tsinghua University, Singapore's Infocomm Institute, and industry partners like Tokopedia.
