York University is a public research institution located in Toronto, Ontario, Canada, established in 1959. York University is Canada-s fourth-largest university and comprises 11 faculties, such as the Faculty of Liberal Arts and Professional Studies, Faculty of Science, Lassonde School of Engineering, Schulich School of Business, Osgoode Hall Law School, Glendon College, Faculty of Education, Faculty of Health, Faculty of Environmental and Urban Change, Faculty of Graduate Studies, School of the Arts, Media, Performance and Design.
York University delivers various programs that receive notable recognition nationally and internationally. York University is dedicated to providing students with a high-quality, research-intensive learning environment by offering programs in various areas of study such as Science, Business, Law, Engineering, Health, Environmental Studies, Liberal Arts & Professional Studies, Education, Arts, Media, Performance, and Design.
As a leading international teaching and research university, York University drives a force for positive change enriched by a welcoming and diverse community with a distinctly global perspective. Along with leading programs, York University imparts diverse experiential and innovative educational opportunities such as internships, community placements, co-ops, and capstone projects, beneficial to equip students for meaningful careers, extended success, and the crucial knowledge to work toward a better future.
York University also performs persistent research with an intensive commitment to developing knowledge and bringing positive change worldwide.
Address: 4700 Keele Street Toronto, ON M3J1P3
Phone: 416 736 2100
Email: exchange@yorku.ca
Website: https://www.yorku.ca/
• Computer Science (BSc; MSc; and Ph.D.)
• Database Systems (BSc and MSc)
• Algorithms and Complexity (BSc; MSc; and Ph.D.)
• Theory of Computation (BSc; MSc; and Ph.D.)
• Computer Graphics (BSc and MSc)
• Computer Networks (BSc and MSc)
• Artificial Intelligence (BSc; MSc; and Ph.D.)
• Information Security and Privacy (BSc; MSc; and Ph.D.)
• Human-Computer Interaction (BSc and MSc)
• Programming Languages (BSc and MSc)
• Software Engineering (BSc; MSc; and Ph.D.)
• Computational Science (BSc and MSc)
• Bioinformatics (BSc and MSc)
• Computer Vision (BSc and MSc)
• Robotics (BSc and MSc)
• Natural Language Processing (BSc and MSc)
• Network Science (BSc and MSc)
The York University of Toronto in Canada has a vibrant computer science research community that produces leading-edge research in a variety of research areas such as
• Applied Computing
• Artificial Intelligence
• Big Data
• Biomedical Engineering
• Communication hardware; interfaces and storage
• Computer Graphics
• Computer Security
• Computer Vision
• Data Science
• Distributed Systems
• Emerging Technologies
• Human-centered Computing
• Information Systems
• Integrated Circuits
• Micro/Nanoelectronics
• Networks
• Power and Renewable Energy Systems
• Robotics
• Security and Privacy
• Software and its engineering
• Theory of Computation
• Virtual Reality
Computer science research topics at York University with its research areas are listed below;
Applied Computing:
• Automation of Health Care Systems
• Intelligent Agents in Human-Computer Interaction
• Machine Learning for Pattern Recognition in Business Processes
• Smart Grid Technologies
Artificial Intelligence:
• Natural Language Processing
• Knowledge Representation and Reasoning
• Machine Learning for Decision Making
• Neural Networks for Machine Perception
Big Data:
• Business Intelligence and Data Mining
• Data Visualization and Analytics
• Real-time Stream Processing
• Scalable Machine Learning Algorithms
Biomedical Engineering:
• Medical Device Design and Development
• Biomechanical Modeling of Human Organs
• Computer-Aided Surgery
• Regenerative Medicine
Communication Hardware, Interfaces, and Storage:
• High-Speed Network Design
• Wireless Network Security
• Cloud Computing
• Storage Systems and Data Management
Computer Graphics:
• 3D Modeling and Rendering
• Real-time Rendering and Animation
• Image Synthesis and Animation
• Visualization of Complex Data
• Augmented Reality
Computer Security:
• Intrusion Detection and Prevention
• Access Control Mechanisms
• Cryptography and Secure Protocols
• Network Security and Firewalls
• Malware Analysis and Defense
Computer Vision:
• Object Detection and Recognition
• Motion Tracking and Estimation
• Image Retrieval and Indexing
• 3D Reconstruction from Images
Data Science:
• Big Data Analytics
• Predictive Modeling
• Recommender Systems
Distributed Systems:
• Fault Tolerance and Replication
• Distributed Data Storage and Processing
• Distributed System Security
• Simulation of Distributed Systems
Emerging Technologies:
• Blockchain and Smart Contracts
• Autonomous Vehicles
Human-Centered Computing:
• Affective Computing and its Applications
• Design and Evaluation of Intelligent Tutoring Systems
• Natural Language Processing in Human-Computer Interaction
Information Systems:
• Data Analytics in Healthcare
• Cloud Computing and its Security Issues
• Predictive Analytics for Business Process Design
Integrated Circuits:
• Low-Power VLSI Circuits
• Design Automation of VLSI Circuits
Micro/Nano Electronics:
• Microelectromechanical Systems
• Nanoscale Electronic Circuits
• Lab-on-Chip Systems
Power and Renewable Energy Systems:
• Optimization of Renewable Energy Systems
• Smart Grid Technologies
Robotics:
• Humanoid Robotics
• Robot Motion Planning and Control
Security and Privacy:
• Cyber Security
• Cryptography
• Privacy-Aware Systems
Virtual Reality:
• Immersive Environments
• Augmented Reality
The York University of Toronto in Canada has top-class computer science research labs and facilities that enable students and faculty to explore the latest developments in the field. Such research labs and groups are
• Centre for Innovation in Computing @ Lassonde
• The Centre for Research in Earth and Space Science (CRESS)
• The York Centre for Vision Research (CVR)
• The High Bay Lab
• York University Microfabrication Facility (YMF)
• Centre for Innovation in Information Visualization and Data-Driven Design (CIVDDD
• Laboratory for Active and Attentive Vision (LAAV)`
• Adaptive System Research Lab
• Biologically Inspired Sensor and Actuator (BioSA) Lab
• Centre for Vision Research (CVR)
• Data Mining Lab
• Database Lab
• DisCoVeri group
• The Elder Laboratory
• Electronic Machine Intelligence (EMI) Lab
• Electronics Additive Manufacturing (E-AM) Lab
• Graphics and Media at York (GaMaY) Lab
• HEATED (HEAT transport in Electronic Devices) lab
• Laboratory for Neural Computing for Machine Learning (NCML)
• Interactive Systems Research Group
• Mixed Mode Integrated Circuits Lab
• Performant and Available Computing Systems (PACS) Lab
• QUANTIMB Lab
• Signal Processing and Communications (SPC) Lab
• SCALE Lab
• Software Engineering Research Group
• Theory of Computing Group
• virtual reality and perception lab
• Vision, Graphics, and Robotics (VGR) Laboratory
• Security Research at York (SecRAY) Group
• York University-s Advanced Power Electronics Laboratory
• Vision Lab
• Ontario Graduate Scholarship (OGS)
• York International Tuition Awards
• York Entrance Awards
• York Graduate Scholarships
• The Joseph Armand Bombardier Canada Graduate Scholarships Program
• Faculty of Science Study Awards
• Dean-s Graduate Scholarships
• Faculty of Graduate Studies Research Awards
• York Research Chairs
• Faculty of Graduate Studies Awards
• York International Doctoral Research Fellowships
• York University Graduate Fellowships
• York University Research and Teaching Awards
Some of the funded projects in computer science research at the York University of Toronto are
• Automated Abstractive Summarization of Clinical Documents
• Cybersecurity Risk Management for Smart Cities
• Automated Discovery and Composition of Workflows
• Machine Learning for Optimizing Network Performance
• Cognitive-based Model to Enable Autonomous Decision Making
• Automated Analysis of Clinical Time Series Data
• Generative Models for Natural Language Processing
• Automated Detection and Analysis of Network Intrusions
• Augmenting Human Intelligence with Machine Learning
The York University of Toronto in Canada delivers a Doctor of Philosophy (Ph.D.) degree in Computer Science. The admission requirements for the program are given as follows:
• A bachelor-s degree in Computer Science or a relevant field from a recognized university with a minimum overall average of B+ in the prior two full-time years of undergraduate or graduate studies
• Official transcripts from all post-secondary institutions pursued
• Three letters of reference with information about the applicant-s academic ability, research experience, and potential to succeed in the program
• Proof of English language proficiency for applicants whose English is a non-native language
• A statement of research interests
• With all the above requirements, applicants must submit an online application and upload supporting documents.
• Subsequently, the interview will be conducted for the applicants, and based on the applicant-s academic performance, research experience, and the interview, admission will be done.
