Dr Sin Wee Lee
Head of Partnerships and Senior Lecturer
My aim is to develop and deliver high quality programmes that integrate all the expertise available in the school to enable students to have the best learning experience and well prepared for employment. My academic and research interest include Predictive Analytics, Artificial Intelligence and Machine Learning.
He is well experienced in developing and implementing research strategies, managing research and education collaborations either between academic, with academic, or academic with industry; locally and internationally. During his professional career, he has also acquired an in depth skill in generating reports and evaluations on progress and on end results of the development and implementation of research strategies and latest innovation in the field of Artificial Intelligence and Artificial Neural Networks.
During his PhD, Sin Wee developed a new self-optimising reinforcement learning algorithm, known as
snap-drift, when incorporated into a modular neural network system, is capable of rapidly adapting to discover provisional solutions that meet criteria imposed by a changing environment. This is analogous to humans optimising selection according to the options available in the surrounding environment.
Other scholarly activities
Reviewer, Software Quality Journal
Reviewer, Journal of Neurocomputing
Reviewer, Journal of Neural Computing and Applications
Organising Committee for EANN
Programme Committee for International Conference on Neural Computation (ICNC)
BSc (Hons) Computer Science
MSc Computer Science
Business Intelligence Analysis
Artificial Intelligence and Machie Vision
Introduction to Software Development