Research Breakthrough Possible @S-Logix
Office Address
- 2nd Floor, #7a, High School Road, Secretariat Colony Ambattur, Chennai-600053 (Landmark: SRM School) Tamil Nadu, India
- pro@slogix.in
- +91-81240 01111
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: 99 University Avenue Kingston, Ontario Canada K7L 3N6
Phone: +1 613-533-2000
Email: records@queensu.ca
Website: https://www.queensu.ca/
University Type: Public 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.)
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
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
Security:
• 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
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
• 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
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
