Research Groups

This area conducts research in areas like molecular computation, empirical algorithm design, algorithmic game theory, optimization and theoretical computer science.

Artificial Intelligence at UBC focuses on decision-making and action, particularly on the design and application of AI systems that cooperate with human decision-makers. This AI research group and the breadth of its work is establishing UBC as leaders in sub-areas like privacy.

The Computer Vision Lab group began as a part of the Laboratory for Computational Vision, which is well-known for creating and developing robot soccer and SIFT features. Today, we develop algorithms in the areas of image understanding, video understanding, multi-modal (vision + language) modeling, 3D computer vision, human pose estimation, and the use of large generative models for computer vision applications.

The data management and mining lab focuses on how to manage or mine data, relational or otherwise. This lab focuses on topics such as data understanding and exploration,  health data analysis, social networks , and web and graph databases.

This group focuses on designing interactive technologies that can be personalized to the needs of individual users. They use a range of methodologies from rich qualitative fieldwork to tightly controlled quantitative experiments, using a very human-centred approach.

Our long term vision is to create ethical AI systems that humans can trust and collaborate with. Our major research areas are user-adaptive visualization, interfaces for decision support, multimedia interactive visualizations for opinion mining, and adaptivity in unstructured and open-ended interfaces.

InfoVis focuses on developing visual representations and interaction techniques to take advantage of the human eye’s broad entry into the mind to allow users to see, explore, and understand large amounts of information at once.

The ISD group is interested in principles, techniques, methodologies, and tools for the specification, design, implementation, and verification of protocols, circuits, and integrated hardware/software systems. 

Machine learning and its applications have been on the rise in recent years, with UBC faculty members from the Departments of Computer Science, Statistics and Mathematics at the Faculty of Science, and the Faculty of Applied Sciences at UBC leading several efforts in this area.

The Natural Language Processing Group conducts research in Computational Linguistics, Text Mining, Machine Learning, and Visual Text Analytics.

This group works in collaboration with partners from across industry and academia to develop production-quality, open-source software with applications in computational neuroscience, image recognition, robotics and AI.

In this lab, researchers develop fast, reliable, and robust numerical algorithms needed for modeling and simulation in many fields, like physics, engineering, life sciences, and data science.  Research areas include numerical linear algebra, optimization, numerical solution of partial differential equations, and applications of scientific computing.

The security & privacy group works on a wide range of topics including systems security, cloud security, privacy, ML, and software engineering.

The lab researches human movement and develops advanced computational models through computer graphics, scientific computing, computational mechanics, robotics, biomechanics, and the neural control of movement.

SPIN is an interdisciplinary group of researchers who design and build innovative physical, touch-based user interactions to solve or advance real human issues.

SOCIUS focuses on enriching computer-mediated social interactions by aligning technology design with human social processes, creating more inclusive and humane user systems through novel design interventions.

This lab is a collection of researchers who want to more efficiently and effectively build better software systems.

We conduct research on a variety of topics, including operating systems, distributed systems, security, data provenance, program analysis, privacy, interpretable machine learning and much more!