MBZUAI
Mohamed Bin Zayed University of Artificial Intelligence Mohamed Bin Zayed University of Artificial Intelligence

Program details

Introduction

This scientific field studies how computers can be used to automatically understand and interpret visual imagery. It aims to mimic the astounding capabilities of 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.

Program
Competence

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

 

  1. Master the fundamental knowledge of computer vision and develop expertise in several specialized areas of research in computer vision.
  2. 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.
  3. 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.
  4. 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.
  5. Become an expert in selecting and using programming tools, libraries and other relevant resources to solve real-world computer vision problems.
  6. Develop an 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.
  7. Develop a deep understanding of the 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.
  8. Practice research ethics and commit to professional responsibilities while conducting cutting edge advancements in computer vision discipline.
  9. 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.

 

The minimum degree requirements for the PhD in Computer Vision are 59 Credits, distributed as follows:

Core Courses
Number of Courses
Credit Hours
Core Courses
4
15 Credit Hours
Elective Courses
2
8 Credit Hours
Research Thesis
1
36 Credit Hours

Core Courses

PhD in Computer Vision is primarily a research-based degree. The purpose of coursework is to equip students with the right skillset, so they can successfully accomplish their research project (thesis). Students are required to take COM701, as a mandatory course. They can select three core courses from a concentration pool of eight in the list provided below:

Code
Course Title
Credit Hours
COM701

Research Communication and Dissemination*

3 Credit Hours
CV701

Human and Computer Vision

4 Credit Hours
CV702

Geometry for Computer Vision

4 Credit Hours
CV703

Visual Object Recognition and Detection

4 Credit Hours
CV704

Advanced Computer Vision

4 Credit Hours
CV705

Advanced 3D Computer Vision

4 Credit Hours
CV706

Neural Networks for Object Recognition and Detection

4 Credit Hours

Elective Courses

Students will select a minimum of two elective courses, with a total of eight (or more) credit hours (CH) from a list of available elective courses based on interest, proposed research thesis, and career perspectives, in consultation with their supervisory panel. The elective courses available for the PhD in Computer Vision are listed in below table:

Code
Course Title
Credit Hours
MTH701

Mathematical Foundations for Artificial Intelligence

4 Credit Hours
MTH702

Optimization

4 Credit Hours
AI701

Artificial Intelligence

4 Credit Hours
AI702

Deep Learning

4 Credit Hours
DS701

Data Mining

4 Credit Hours
DS702

Big Data Processing

4 Credit Hours
HC701

Medical Imaging: Physics and Analysis

4 Credit Hours
ML701

Machine Learning

4 Credit Hours
ML702

Advanced Machine Learning

4 Credit Hours
ML703

Probabilistic and Statistical Inference

4 Credit Hours
ML704

Machine Learning Paradigms

4 Credit Hours
ML705

Topics in Advanced Machine Learning

4 Credit Hours
ML706

Advanced Probabilistic and Statistical Inference

4 Credit Hours
NLP701

Natural Language Processing

4 Credit Hours
NLP702

Advanced Natural Language Processing

4 Credit Hours
NLP703

Speech Processing

4 Credit Hours
NLP704

Deep Learning for Language Processing

4
NLP704

Deep Learning for Language Processing

4
NLP705

Topics in Advanced Natural Language Processing

4
NLP706

Advanced Speech Processing

4

Research Thesis

The PhD 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 3 - 4 years.

Code
Course Title
Credit Hours
CV799

PhD Research Thesis

36 Credit Hours