Chee Peng Lim
Professor and Associate Director (Research), Institute for Intelligent Systems Research and Innovation, Deakin University, Australia
Designing personalised machine learning systems by embedding user experience and preferences
A machine learning system exhibits several key characteristics of human intelligence, e.g. learning, adaptability, reasoning and decision making. In this keynote, two aspects pertaining to machine learning systems will be discussed, namely, how to model human intelligence and how to design intelligent systems with personalised learning capability. To realise personalised machine learning systems, a human-in-the-loop paradigm that allows users to incorporate their knowledge, experiences and preferences into the underlying learning algorithms is formulated. Specifically, a machine learning system firstly builds a knowledge base through autonomous learning from data samples. The knowledge base is utilised to provide prediction of the target output with respect to the new input data. Then, an interactive human-computer interface for users to visualise and fine-tune the knowledge base with individual experiences and preferences is designed. Application of the resulting personalised machine learning systems to various real-world problems, which include healthcare and manufacturing, will be demonstrated.
Professor Chee Peng Lim completed his PhD degree with the Department of Automatic Control and Systems Engineering, University of Sheffield, UK, in 1997. His research focuses on the design and development of computational intelligence-based systems for data analytics and decision support, with application in medical prognosis and diagnosis, fault detection and classification, and manufacturing process optimisation. He has published over 450 technical articles in journals, conference proceedings and books, and received 8 best paper awards in international conferences. He has also received many prestigious fellowships for international research collaboration, including Australia-India Senior Visiting Fellowship (Australian Academy of Science), Australia-Japan Emerging Research Leaders Exchange Program (Australian Academy of Technology and Engineering), Commonwealth Fellowship (University of Cambridge), Fulbright Fellowship (University of California, Berkeley), and Visiting Scientists Program of US Office of Naval Research Global (Harvard University and Stanford University). In collaboration with co-workers, he has designed and developed innovative software systems that have won over a dozen of awards, which include Gold Medal at Invention and New Product Exposition (INPEX), Pittsburgh, USA, Gold Medal and Special Award at British Innovation Show, UK, Gold Medal at Geneva International Exhibition of Inventions, Switzerland, and Silver Prize at Open Source Software World Challenge, South Korea.