Area: Computer Vision, Computer Graphics
Research Areas in Computing Science
Major areas of expertise and the associated faculty include the following:
The AI group at SFU works in several important subareas of the field, including machine learning, computer vision, natural language processing, knowledge representation and reasoning, constraint optimization, and robotics.
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.
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.
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.
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.
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.
Area: Computer Graphics, Computer Vision, Computational Design & Fabrication, Geometric Deep Learning