I’m attached to the Machine Learning Research Group, School of Engineering, University of Guelph, ON Canada headed by Graham Taylor. I have worked on Deep Learning Multimodal Deep Learning with a focus on fusion structure optimization. My current research involves deep semantic segmentation of medical images.
Prior to joining the University of Guelph, I used to be an Associate Professor at the School of Computer Sciences, Universiti Sains Malaysia (USM) from 2003-2015. My background is rather diverse encompassing the fields of Computer Science, Mechatronics Engineering, and Industrial Technology (Instrumentation and Quality Control).
My past research projects include Visual Positioning of Robots using Neural Networks, Segmentation of Multiple Sclerosis Lesions in MRI, Context in Object Class Recognition, Kernel Methods in Machine Learning and Ensemble Classifiers for Object Class Recognition, Video Tracking and Target Recognition in Synthetic Aperture Radar Imagery.
I am a proponent of the Open Source Software Model and I’ve been using GNU/ Linux since 1998.
My other passion is photography .
Machine Learning and Pattern Recognition
Deep Multimodal Learning, Ensemble Classifiers, Bayesian Models, Data Mining, Big Data
Visual Tracking, Object Recognition, Machine Vision and Inspection Systems, Content-based Image Retrieval
Medical Image Analysis
Medical Image Segmentation, Medical Image Retrieval, Collaborative Frameworks in Teleradiology