Jacob Yoo has started his master’s program in the fall, 2019. His research focuses on deep learning, computer vision, point cloud.
Projects:
Jacob is part of 3DMMAI project, which is supported by the NSERC (Natural Sciences and Engineering Research Council of Canada) Collaborative Research Development (CRD) program and Teledyne Optech in Toronto and OnTRAC: Safe and Robust Obstacle Detection for Autonomous Rail funded by the OCE, Autonomous Vehicle Innovation Network – AV R&D Partnership Fund and collaborate with Neptec (Lead), Thales Transportation, York University and TrackGen. [Details]
Publications:
Sunghwan Yoo, Masoom A. Haider, and Farzad Khalvati. “Prostate Cancer Detection using Deep Convolutional Neural Networks (Under Review).” Scientific Reports
Sunghwan Yoo, Masoom A. Haider, and Farzad Khalvati. “Estimating Optimal Depth of VGG Net with Tree-Structured Parzen Estimators.” Annual Conference on Vision, 2017
Education:
Master of Sciences (MS), in Earth and Space Science, York University
Bachelor of Science (BS), Statistics and Astro-Physics, University of Toronto.
2019 – Present
2012 – 2018
Experience:
Research:
Graduate Research Assistant, GeoICT/ AUSMLab, York University Canada
Research Assistant, GeoICT/ AUSMLab, York University Canada
Research Assistant, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Canada
Research Assistant, Sunnybrook Health Science Centre Image Processing Lab, Canada
Sep, 2019 – Present
April, 2019 – Sep, 2019
Jan, 2018 – Mar, 2019
May, 2017 -Dec 2017
Teaching:
Teaching Assistant, York University, Canada
Sep, 2019 – Present
Professional:
Junior Geological Data Technician,Bounty Developments LTD
Jul, 2015 – Aug, 2015