Yagiz Aksoy
Area: Computer Vision, Computer Graphics
Area: Computer Vision, Computer Graphics
Area: Medical Image Analysis
Area: Natural Language Processing, Computer Vision, Computer Graphics
Area: Robotics
Area: Machine learning, Neural architecture search
Area: Neuroscience
Area: Knowledge Representation
Area: Computer Vision, Computer Graphics, Geometric Deep Learning
Area: Medical Image Analysis, Computer Vision, Machine Learning
Area: Machine learning, Computer Vision, Algorithms & Complexity, Computer Graphics
Area: Robotics, HCI, Machine Learning
Area: Visual Computing, Artificial Intelligence
Area: Reinforcement Learning, Computer Animation, Robotics
Area: Natural Language Processing
Area: Machine Learning, Logic & Reasoning
Area: Logic & Reasoning, Knowledge Representation, Algorithms & Complexity
Area: Human-Computer Interaction
Area: Computer Animation, Humanoid Robotics
Area: Computational Biology, Machine Learning
Area:Deep learning, Trustworthy machine learning
Area: Robotics
Area: Algorithms & Complexity, Logic & Reasoning
Area: Natural Language Processing
Area: Computer Graphics, Computer Vision, Geometric Deep Learning
Area: Computer Graphics, Computer Vision, Geometric Deep Learning
Area: Machine Learning
Area: Computational Biology, Evolutionary Computation, Machine Learning
Area: Computer Graphics, Computer Vision, Computational Design & Fabrication, Geometric Deep Learning
The explosion of huge biological and medical data sets creates the opportunity to drive innovations in the life sciences through computational approaches such as machine learning, sequence algorithms, image analysis and others. Computational biology researchers at SFU CS are working to develop tools for analysis of genome sequencing data, gene regulation, epigenomics, single-cell assays, medical images, medical records, and others.
Area: Medical Image Analysis
Area: Computational Biology, Machine learning
Area: Medical Image Analysis, Computer Vision, Machine Learning
Area: Computational Biology, Evolutionary Computation, Machine Learning
In many application domains, such as social networks, business, and healthcare, increasingly large amounts of data are being collected requiring sophisticated computational tools to discover the hidden "golden nuggets."
Our researchers in data science, databases, and data mining address the corresponding research challenges with a broad range of methods and systems from data collection, storage, cleaning, management, analytics, knowledge extraction, and representation. They are international leaders in topics such as data cleaning, big data systems, database query answering, graph and network mining, privacy preserving data analytics, spatial and temporal data processing, and various applications.
Area: Databases, Data Mining
Area: Databases, Data Mining
Area: Databases, Data Mining
Area: Database Systems, Data Management, Data Curation and Integration, Data Provenance
Area: Database Systems
Area: Databases, Distributed Systems
The group focuses on applied research in systems, networking and computer architecture. Primary subareas covered include network modelling, network security, operating systems, parallel and distributed computing, real-time systems, wireless, multimedia, and peer-to-peer communication. Research in programming languages and software covers subareas such as Formal Verification, Static Program Analysis and Model Checking, Concurrent and Mobile Systems, Functional and Logic Programming.
Area: Computer Architecture, Computer Security
Area: Software Engineering
Area: Computer Networks
Area: Software Engineering, Programming Languages
Area: Computer Networks, Algorithms & Complexity
Area: Mobile Computing, Software Engineering
Area: Computer Networks, Mobile Computing
Area: Computer Networks, Algorithms and Complexity
Area: Software Engineering, Computer Security
Area: Computer Security
Area: Programming Languages
Area: Software Engineering
Area: Multimedia Systems, Computer Networks
Area: Programming Languages
Area: Computer Architecture
Area: Distributed Systems, High-Performance Computing, Operating Systems
Area: Database Systems, Distributed Systems
Area: Systems Security and Privacy, Formal Analysis, Machine Learning Security and Privacy
The Algorithms and Complexity Group is interested in the theoretical aspects of computing science and in the application of this theory to modern industrial uses. Important subareas include computational geometry, parallel algorithms, distributed algorithms, operations research, and graph algorithms. We have a particular interest in the development of algorithms for optimization problems. Some of our current projects have applications in the areas of biomedical image processing, geographical information systems, communication networks, scheduling, robot motion planning, pattern recognition, and VLSI layout. In addition to our own research, we consult for industry and advise other academic researchers.
Area: Quantum Computing
Area: Algorithms & Complexity, Logic & Verification
Area: Network Communications and Algorithms
Area: Algorithms and Complexity
Area: Algorithms & Complexity, Logic & Reasoning
Area: Algorithms & Complexity
Area: Quantum Computing
Area: Algorithms & Complexity
Area: Machine learning, Computer Vision, Algorithms & Complexity, Computer Graphics
Area: Algorithms & Complexity
Area: Logic & Reasoning, Knowledge Representation, Algorithms & Complexity
Area: Computer Networks, Algorithms and Complexity
Visual computing encompasses all scientific and computational disciplines that deal with visual data such as images, videos, 3D shapes, and virtual environments. Core areas of visual computing include computer graphics, computer vision, image processing, computational photography, computational design and fabrication, and data and information visualization. Interactive computing encompasses areas of computing that involve human interaction or interactive computational systems. Core areas are human-computer interaction, multimedia systems, user-centered software, and interactive visualization.
Learn more about VINCI.
Area: Computer Vision, Computer Graphics
Area: HCI, Visualization
Area: Natural Language Processing, Computer Vision, Computer Graphics
Area: HCI
Area: Computer Vision
Area: Computer Vision, Computer Graphics, Geometric Deep Learning
Area: Human-Computer Interaction, Human-Robot Interaction
Area: Robotics, HCI, Machine Learning
Area: Reinforcement Learning, Computer Animation, Robotics
Area: Computer Graphics, Computer Vision, Geometric Deep Learning
Area: Human-Computer Interaction
Area: Computer Graphics, Computer Vision, Computational design & Fabrication, Geometric Deep Learning
Area: Computer Graphics
Area: Medical Image Analysis, Computer Vision, Machine Learning
Area: Machine Learning, Computer Vision, Algorithms & Complexity, Computer Graphics
Area: Computer Graphics, Computer Vision, Computational Design & Fabrication, Geometric Deep Learning
Area: Computer Graphics, Computer Vision, Deep Learning
Area: Human-Computer Interaction
Area: Computer Graphics, Machine Learning