Dr Sin Wee Lee is a Senior Lecturer in Computer Science and Programme Leader for BSc (Hons) Software Engineering , within the School of Architecture, Computing and Engineering (ACE). From Sept 2005 – Sept 2006 he was a part - time lecturer and UEL Research Fellow, with responsibility in developing Diagnostic Feedback for Virtual Learning Environment using Neural Networks. Previous to this he was a Part-time lecturer and Research Assistant at Leeds Metropolitan University, working on the improvement and development of connectionist language parser. Sin Wee graduated with first class honours in BEng (Hons) in Electronics Engineering and Computing from The Nottingham Trent University and was awarded his PhD from Leeds Metropolitan University.

Sin Wee’s main areas of expertise are in the field of Artificial Intelligence and Artificial Neural Networks (ANN), Green IT and Innovative Higher Education Technologies; focusing on innovative applications in Pattern Recognition, Natural Language Processing, Intelligence Data Analysis, Green IT policy and sustainability in Higher Education. 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