After graduating from Western Michigan University, I was given the opportunity to serve in various industries. I started my career as Personnel Assistant in the hotel industry in 1998. Then, I pursued a similar career as Human Resources Executive in the manufacturing and insurance industries in 2000 and 2001, respectively. I ended my career in human resources after leaving the insurance industry in 2003 and continued my studies in Diploma in Education (TESL) (KPLI/KPM) at the International Languages Teacher Training Institute (IPBA) in 2004. I began my career in teaching in 2005 at two government polytechnics in Kota Kinabalu and Port Dickson prior to my transfer to Universiti Malaya as Language Teacher DG41 in 2007. Presently, I hold the post as Language Teacher DG48 in the English Language Department, Faculty of Languages & Linguistics, Universiti Malaya.

Azian bin Madun is a senior lecturer at the University of Malaya. He received his Phd in Finance from the University of Bath, United Kingdom in 2009. He has vast experience in the financial industry after serving the Malaysian stock exchange for ten years in the areas of finance and management research from 1993 to 2003. Since 2009 he has been teaching as well as undertaking research in the areas of finance and management as well as Islamic finance.

P. Raveendran received the B.Sc and M.Sc degrees in electrical engineering from South Dakota State University, Brookings, South Dakota, USA in 1984 and 1985 respectively. He was a systems designer with Daktronics, U.S.A before joining the Department of Electrical Engineering at University of Malaya, Kuala Lumpur, as a lecturer in 1986. In 1992, he received a Ronpaku scholarship from Japan to pursue Doctorate in Engineering, which he completed in 1994 at University of Tokushima, Japan. He was promoted to Associate Professor in 1995 and was promoted to Professor in 2003. His research areas include image and video analysis, formulation of new image descriptors for image analysis, fast computation of orthogonal moments, analysis of EEG signals, and data modeling of substance concentration acquired from non-invasive methods. His contributions can be seen in the form of journal publications, conference proceedings, chapters in books and an international patent to predict blood glucose levels using non-parametric model. He has successfully supervised to completion 17 Ph.D students and 13 students in M.Eng.Sc (Masters by research). He is currently a Senior IEEE member and also a member of the Signal Processing Society.