Sunghwan (Jacob) Yoo

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:


MSc in Mechatronics Engineering, York University

B.Sc., 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