Research Groups
There are currently three groups within the SVI Lab - the Information Systems Group, the Intelligent Systems Group and the Software Quality Research Group.
Information Systems Group
:: leader: Dr. Ken Pu
The Information Systems Group conducts research covering a wide range of information systems, including but not limited to:
- structured and semi-structured database systems
- information systems on the Web
- novel query languages and information retrieval methods
- environmental sensors and RFID technology
- extreme data processing environments from mobile devices to computing cluster
Some of the active projects are keyword search for database driven Web sites, natural language based query interface for business intelligence and analytics, information space exploration using touch screen technology, self-organizing information system for sensor networks, statistical localization of RFID tags.
Intelligent Systems Group
:: leader: Dr. Faisal Qureshi
Our scientific and engineering focus centers on the study and development computational models of autonomous, purposeful behavior in the context of self-organizing sensor networks, unmanned space robotics, and intelligent virtual characters. We are inspired by the amazing biological systems around us, which are capable of sustained, unsupervised, sophisticated behavior in a world that is notoriously difficult to model. Building smart autonomous systems capable of purposeful behavior in unpredictable, dynamic environments that defy complete and accurate modeling is a formidable problem, one whose solution rests upon efficient, tractable, and robust computational models of synthetic intelligence, persistent perception, and life-like motor skills. We are interested in all these facets of a smart system, be it perception, motor control, or decision making.
Thus far our focus has been on the integration of these sub-problems in order to solve challenging problems in camera sensor networks and space robotics. More recently we are working at the intersection of machine vision, computer graphics, distributed systems, and sensor networks.
Current active projects include: Autonomous virtual characters, self-organizing camera networks, occlusion modeling and analysis for visual surveillance applications, reality emulators on high performance computing.
Software Quality Research Group
:: leader: Dr. Jeremy Bradbury
:: website: http://faculty.uoit.ca/bradbury/sqrg/
The Software Quality Research Group focuses on software quality of concurrent and distributed systems. In particular we are interested in:
- using experimentation and visualization to better understand the trade-offs between testing, model checking and static analysis
- the development of new software quality assurance techniques for testing and analyzing concurrent and distributed systems
- mutation testing for concurrent and distributed systems
Current active projects include: visualization of mutation testing data, testing concurrent software, empirical studies of quality assurance techniques for concurrent software.