Doctor of Philosophy in Centre for Computer Vision and Deep Learning

Welcome to the Centre for Computer Vision and Deep Learning (CCVDL) (formerly known as Computer Vision and Sensing Systems Laboratory) Department of Electrical and Computer Engineering. CCVDL is an organized research unit founded in 2006 that serves as a focus for quality research in computer vision, deep learning, wireless sensor networks and sensor data fusion techniques. At CCVDL we are trying to explore both theoretical and practical frameworks for optimal data analysis in the research fields.The laboratory was formed as a specialized group to coordinate advanced research in all aspects of artificial intelligence, sensor systems, image analysis, computer vision and machine learning, and to facilitate collaboration and interaction with industry sponsors and federal government research agencies. This website gives a brief introduction to the research currently underway, academic programs and opportunities available.

Graduates of recognized universities may apply for admission. In general, admission to graduate study is granted only to those students who have good academic records and who are adequately prepared to undertake graduate work in their field of specialization. In particular, an applicant for admission to a graduate program leading to the degree of Doctor of Philosophy must have either a Master's degree or, in exceptional cases, a four-year Bachelor's degree, or the equivalent; with a minimum average of 77% (or equivalent). Possession of the minimum requirements does not ensure admission.