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PhD Computer Science in Queens University - Kingston - Canada

Queens University - Kingston - Canada

About Queens University

  Queen-s University is a publically-based research institution in Kingston, Ontario, Canada, established in 1841 through a royal charter from Queen Victoria. Queen-s University is systemized into eight faculties and schools: Faculty of Arts and Science, Faculty of Education, Faculty of Engineering and Applied Science, Faculty of Health Sciences, School of Graduate Studies, Faculty of Law, Smith-s School of Business, and School of Policy Studies. Queen-s University gained the top ranking among Canadian universities. According to the QS World University Ranking, Queen-s University ranked 239th place worldwide. Queen-s University is a part of the prominent U15 group of research all-inclusive universities and attains an international reputation for outstanding academic quality. Queen-s University owns a long history of discovery and modernization that has shaped the knowledge of its students and assisted in contending the world-s deepest, most baffling, and most challenging questions, such as problems of environmental protection, health care, and the evolution of advanced technologies.

Address & Website of Queens University

Address:  99 University Avenue Kingston, Ontario Canada K7L 3N6

Phone:  +1 613-533-2000



University Type:  Public university

Computer Science Courses Offered by Queens University


 •  Computer Science (B.Sc.)
 •  Computer Science (B.Sc. Honours)
 •  Computer Science (M.Sc.)
 •  Computer Science (Ph.D.)
 •  Computing and Software Systems (B.Sc.)
 •  Computing and Software Systems (M.Sc.)
 •  Computing and Software Systems (Ph.D.)
 •  Artificial Intelligence (M.Sc.)
 •  Artificial Intelligence (Ph.D.)
 •  Bioinformatics (M.Sc.)
 •  Bioinformatics (Ph.D.)
 •  Computational Mathematics (M.Sc.)
 •  Computational Mathematics (Ph.D.)
 •  Software Engineering (B.Sc. Honours)
 •  Software Engineering (M.Sc.)
 •  Software Engineering (Ph.D.)

Computer Science Research Areas - Queens University


Queens University conducts groundbreaking research in the field of computer science

pushing the boundaries of the digital world by focusing on its diverse research areas;
 •  Artificial Intelligence
 •  Biomedical Computing
 •  Data Analytics
 •  Human-Computer Interaction and Gaming
 •  Security
 •  Software Engineering
 •  Systems and Networks
 •  Theory of Computation

Research Topics in Computer Science Research - Queens University

Artificial Intelligence:
 •  Machine learning and deep learning
 •  Robotics
 •  Cognitive computing

Biomedical Computing:
 •  Bioinformatics
 •  Image-guided surgery

Data Analytics:
 •  Big Data Analytics
 •  Business Intelligence

Human-Computer Interaction and Gaming:
 •  Accessibility, Usability, and Inclusion
 •  Virtual Reality/Augmented Reality

 •  Software Reliability and Security
 •  Using AI to Address Cybersecurity Threats
 •  Adversarial Analytics

Software Engineering:
 •  Mining Software Repositories
 •  Recommender Systems

Systems and Networks:
 •  5G Wireless Networks
 •  Cloud Computing

Theory of Computation:
 •  Computability Theory
 •  Computational Complexity Theory

Computer Science Research Labs with Specialization - Queens University

Queen-s University in Kingston, Canada, is the center of several computer science research labs and centers that are engaged in pushing the boundaries of technological advancement.
 •  Computational Genomics Laboratory (Duan Lab)
 •  Big-data Analytics and Management Laboratory (BAMLab)
 •  Computer Security Research Lab
 •  EQUIS Collaborative Gaming Technology Lab
 •  Ethics and Technology Lab
 •  iStudio
 •  Joints and Connective Tissues Laboratory
 •  L1NNA
 •  Lab on Maintenance, Construction, and Intelligence of Software (MCIS)
 •  Laboratory for Percutaneous Surgery (Perk Lab)
 •  Machine Intelligence & Biocomputing (MIB) Laboratory
 •  Medical Informatics (Med-i) Laboratory
 •  Modeling and Analysis in Software Engineering (MASE) Group
 •  Mu Lab
 •  Parallel and Unconventional Computation Group
 •  Queen-s Reliable Software Technology (QRST) Group
 •  Reliable and Intelligent Software Engineering (RISE) Research Lab
 •  Simpson Lab
 •  Smart Information Management Laboratory
 •  Software Analysis and Intelligence Lab (SAIL)
 •  Telecommunications Research Laboratory (TRL)
 •  The Tensegrity Research Group
 •  Computational Biology and Biophysics Lab
 •  Constraint Models and Patterns of Software and Security (COMPASS) Group
 •  Discrete-Event Control Systems Group
 •  Software Evolution & Analytics Lab (SEAL)
 •  The Biomotion Lab

Scholarship Programs and Funded Projects for Computer Science - Queens University

 •  Queen-s Faculty of Arts and Science Graduate Awards
 •  Queen-s University Graduate Awards
 •  Queen-s University Doctoral Fellowship
 •  Queen-s University Faculty of Applied Science and Engineering Graduate Awards
 •  Queen-s University Computer Science Graduate Awards
 •  Queen-s University Graduate Entrance Scholarship
 •  Queen-s University Graduate Scholarship in Computer Science
 •  Queen-s University Graduate Fellowship in Computer Science
 •  Queen-s University Doctoral Scholarship in Computer Science
 •  Queen-s University Graduate Entrance Bursary in Computer Science
 •  Queen-s University Graduate Award in Computer Science
 •  Queen-s University Graduate Teaching Assistantship in Computer Science
 •  Queen-s University Graduate Research Assistantship in Computer Science
 •  Queen-s University Graduate Exchange Award in Computer Science
 •  Queen-s University Graduate Access Scholarship in Computer Science

Funded projects in computer science at Queen-s University are

 •  AI-Driven Cloud Computing Research
 •  Quantum Computing for Cyber Security
 •  Augmented Reality for Human-Computer Interaction
 •  Autonomous Vehicle Research using Deep Learning
 •  Visual Analytics and Big Data
 •  Robotics and Autonomous Systems
 •  Network Security and Privacy
 •  Urban Computing
 •  Wearable Computing for Health and Wellness

PhD Admission Procedure for Computer Science -Queens University

 Admission requirements to pursue Ph.D. in computer science at Queen-s University are
 •  A bachelor-s degree in Computer Science, or a relevant field, from an accredited university, with a minimum overall average of 76-79%
 •  Relevant work experience of three years
 •  Demonstrated English language proficiency in IELTS with a score of 6.5 or equivalent
 •  A statement of research with research interests, goals, and objectives
 •  Two letters of reference
 •  Applicants must complete the online application along with supporting documents
 •  Next, an application review and interview will be conducted for the applicants
 •  Applicants who are successful in their admissions process will be offered a place in the Ph.D. program

List of PhD Supervisors:
  Ph.D Supervisors in Queens University