M.Sc. (Computing; Queen’s University)
B.Sc. (Soft. Eng. Specialist, Co-op, Honours; University of Toronto)
Yani joined IATSL in March 2011. He has been since been working on the development of the Intelligent Personal Emergency Response System (PERS) and Fall Detection System. With his background in Computer Vision and programming for the Linux environment, he has been working on building a robust and portable code base for the next iteration of the Fall Detection System.
Yani holds a Masters of Science in Computing from Queen’s University and a Bachelor of Science Honours (Soft. Eng. Specialist Co-op) from the University of Toronto in Computer Science. His Masters project focused on creating and applying new computer vision methods to recognize and segment ground-based LIDAR data with the goal of creating Geographical Information System models of urban areas.
Yani Ioannou, Limin Shang, Robin Harrap and Michael Greenspan. (2009). Local Potential Well Space Embedding. IEEE International Workshop on 3-D Digital Imaging and Modeling. Kyoto, Japan, October 3-
M.Sc. Thesis: Automatic Urban Modelling using Mobile Urban LIDAR Data, Queen's University, 2010.