Intelligent Systems for Sustainable Urban Mobility (ISSUM) is a multisectoral collaborative effort with funding and support from the Ontario Research Fund, York University, University of Waterloo, and private sector partners (Esri Canada, Fugro Roadware, Miovision, Mircom, Teledyne Optech, Exascale Solutions, Trans-Plan).
ISSUM's mission is to research and develop integrated intelligent systems for sensing, analysis, simulation and 3D visualization of urban population mobility. The research efforts and outcomes will help strengthen the technology sector in Ontario, increase efficiency, reduce greenhouse gases and enhance the livability of urban regions for all Ontarians.
News
-
- Call for Participation: ICCV 2021 Doctoral Consortium
- CIG-YorkU: GeoTalks Webinar Series: 3pm, January 13th, 2021
- Postdoctoral Fellowship Position in Computer Vision available in Elderlab
- Elder lab leads collaborative team awarded CFI Exceptional Opportunities grant to develop Agile AI-Powered
- Postdoctoral Fellowship Position in Deep Learning for Computer Vision available in Dr. Gunho Sohn’s Lab
- Postdoctoral Fellowship Position in Computer Vision available in Human and Computer Vision laboratory of James Elder
- PhD student Gong Chen (Elder lab) receives Best Computer Vision paper award at the 2020 Conference on Computer and Robot Vision (CRV)
- Multiple Postdoctoral Fellowship Positions in Computer Vision, Machine Learning and SLAM available in Dr. Gunho Sohn's Laboratory
- James Elder: Single-View 3D Shape from Contour - keynote at the BMVA Symposium: 3D Worlds from 2D Images in Humans and Machines
James Elder awarded York
Research Chair
Research Chair
CRV 2018 15th Conference on
Computer and Robot Vision
Computer and Robot Vision
Sustainable Urban Mobility
Researchers
James Elder
Gunho Sohn
Petros Faloutsos
John L. Lewis
Liping Fu