Six years of research experience in computer vision and image processing algorithms for 3D Optical Metrology with a strong publication record in journals.Developed new methods and systems that permit full-field, high-accuracy real-time 3D surface measurement using low-cost devices to make this technology more accessible. https://uwaterloo.ca/engineering/news/new-3d-system-may-improve-accuracy-surgeryExperienced in multi-view stereo and machine learning algorithms and implementations. A conference paper was published at IJCNN 2016, using the convolutional neural network in content-based medical image retrieval.Experienced in collaborating with companies and developing optical metrology systems for industrial needs.Excellent laboratory skills and programming skills in C++, Python, and Matlab. Experienced in OpenCV, OpenGL, and Qt, and CUDA C on GPUs.A full publication list available at https://www.scopus.com/authid/detail.uri?authorId=53663855700