Doctor of Philosophy in Computer Vision - Artificial Intelligence

This scientific field studies how computers can be used to automatically understand and interpret visual imagery. It aims to mimic the astounding capabilities of the human visual cortex using machine vision algorithms. It studies how an image is created, the geometry of the 3D world, and high-level tasks such as object recognition, object detection, and tracking, image segmentation, and action recognition. Computer vision has important applications in augmented/virtual reality, autonomous cars, service robots, biometrics and forensics, remote sensing, and security and surveillance.

Alumni Statistics

The minimum degree requirements for the Doctor of Philosophy in Computer Vision is 60 credits, distributed as follows:

Core courses

The Doctor of Philosophy in Computer Vision is primarily a research-based degree. The purpose of coursework is to equip students with the right skill set, so they can successfully accomplish their research project (thesis). Students are required to take AI701, MTH701 and CV701 as mandatory courses. They can select either CV702 or CV703 along with two electives.

Elective courses

Students will select a minimum of two elective courses, with a total of eight (or more) credit hours. One must be selected from List A and one must be selected from List B based on interest, proposed research thesis, and career aspirations, in consultation with their supervisory panel. The elective courses available for the Ph.D. in Computer Vision are listed in the tables below:

List A

List B

Research thesis

The Ph.D. thesis exposes students to cutting-edge and unsolved research problems in the field of computer vision, where they are required to propose new solutions and significantly contribute towards the body of knowledge. Students pursue an independent research study, under the guidance of a supervisory panel, for a period of three to four years.

CS Rankings in a Glance

• 18th in the field of AI in CS Rankings globally
• 28th in the field of ML in CS Rankings globally
• 16th in the field of CV in CS Rankings globally
• 19th in the field of NLP in CS Rankings globally

Upon completion of the program requirements, the graduate will be able to:

• Master the fundamental knowledge of computer vision and develop expertise in several specialized areas of research in computer vision
• Grow expertise in comprehending existing literature, apply reasoning, and master necessary skills and techniques to develop novel ideas that are recognized by the experts of the computer vision discipline
• Apply advanced problem-solving skills to analyze, design, and execute innovative solutions for the existing and/or new problems faced in both industry and academia
• Highly skilled in initiating, managing, and completing technically challenging computer vision projects, and be able to clearly communicate concepts, highly complex ideas, and key findings in the form of technical reports, scientific publications and oral presentations at relevant technical venues
• Become an expert in selecting and using programming tools, libraries, and other relevant resources to solve real-world computer vision problems
• Develop advanced ability to work independently with substantial authority or in team collaboration with professional integrity to complete highly challenging computer vision projects in a timely manner
• Develop deep understanding of existing body of knowledge and the ability to develop new knowledge in computer vision that makes students suitable for a role in academia or industry
• Practice research ethics and commit to professional responsibilities while conducting cutting edge advancements in computer vision discipline
• Understand legal, ethical, environmental, and socio-cultural ramifications of computer vision technologies, and be able to take a lead in making informed and fair decisions on complex issues

STEM major students with GPA above 3.2/4.0

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