PhD student
Computer Science Department
University of British Columbia
email: peymang@cs.ubc.ca
My research mainly deals with topics on HCI, AI, Machine learning.
o Principal Investigator of the Face Alignment, Eyelids, and Fatigue Metrics components of the Mirametrix Attention Sensing Engine
o Designed the structure and fined tuned various neural networks for facial landmark localization
o Mentored and defined projects for several interns working in machine learning, e.g., deep 3D face alignment for automatic labeling task
o Designed and built a ground truth system for the accurate evaluation of face
and head tracking systems
o Developed brand-new image processing and machine learning algorithms for the analysis of different medical/natural images
o Decoded big collection of medical data using batch scripts and constructed a platform for training deep neural networks for tracking retinal health
o Designed and implemented several visual perception experiments, e.g., relative judgment for autistic subjects, motion coherence, reverse phi phenomenon, etc.
o Formulated and introduced a brand-new active contour-based image segmentation algorithm
o Collected and set up an open access OCT image database
o Designed and prototyped a visual feedback for controlling bioprinter robot
o Proposed a computer vision protocol for wound depth estimation using disparity map
o Assisted on the installation, trouble shooting, and maintenance of different medical imaging devices, e.g. MRI, CT Scan, XRay at the customer service department.
o Administrated the safety standards of medical devices at the sales and marketing department
Monday, 14:30 - 15:30