Suren Jayasuriya is an assistant professor jointly between the departments of Arts, Media and Engineering (AME) and Electrical, Computer, and Energy Engineering (ECEE). His research focuses on designing new types of computational cameras, systems, and visual computing algorithms that can extract and understand more information from the world around us.
Total projects: 7
Analyzing the interaction between the visual and audio aspects of a violin will allow for a better understanding of the violin and its sound.
Developing energy-efficient localization and mapping methods will help low-power devices navigate.
Implementing hardware and software for a lensless camera system will improve privacy compared to current surveillance technology.
Researching energy-efficient autonomous algorithms will enable a robot to map heat-related threats in the environment.
Detecting and tracking objects out of line-of-sight using a light source and camera will help make autonomous vehicles safer.
Coupling video information to speech will help people with ALS and Parkinson’s disease recover their speaking ability.