Researches and develops computer vision and sensing technologies including 3D vision, image analysis, biometrics, sensing, and machine learning for autonomous vehicles, manufacturing, factory automation, and bio-medical imaging.Core technology areas include object recognition, event detection and recognition, tracking, 3D scene modeling, multimedia big-data analysis, computational imaging, and data fusion techniques.Real-world applications include human machine interfaces, unmanned aerial vehicles, cross-border monitoring and safety, security and surveillance, vision-guided robotics, and intelligent transportation systems
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.
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