Photo for Herb Yang

Herb Yang, PhD

Phased Post Retirement-Faculty, Faculty of Science - Computing Science

Contact

Phased Post Retirement-Faculty, Faculty of Science - Computing Science
Email
herberty@ualberta.ca

Overview

About

Education

  • B.Sc. (First Class Honours), Physics, University of Hong Kong
  • M.Sc., Physics, Simon Fraser University
  • M.S., Electrical Engineering, University of Pittsburgh
  • Ph.D., Electrical Engineering, University of Pittsburgh

Bio

Dr. Yang is a Life Senior Member of the IEEE and has served as an Associate Editor for the journal Pattern Recognition for over 35 years. He has published more than 160 papers in international journals and conference proceedings. In addition, he has served as a reviewer for numerous international journals and conferences. 


Research

Areas

Computer Graphics
Computer Vision and Multimedia Communications

Summary

Dr. Yang’s research interests cover a wide range of topics in computer graphics and computer vision. In computer graphics, his interests include fluid and character animation, environment matting, hardware-accelerated graphics, motion editing, physics-based modelling, texture analysis and synthesis, and static and dynamic image-based modeling and rendering. In computer vision, his research includes light source estimation, motion estimation, human motion analysis, camera calibration, 3D reconstruction, stereo and multiview stereo, underwater imaging, and medical imaging, particularly the development of biomarkers for ALS.


Teaching

Dr. Yang has taught undergraduate and graduate courses across all levels of computer science.

Courses

CMPUT 300 - Computers and Society

Social, ethical, professional, economic, and legal issues in the development and deployment of computer technology in society. Prerequisites: Any introductory-level Computing Science course or SCI 100, and any 200-level course.


CMPUT 495 - Honors Seminar

This weekly seminar brings students, researchers, and practitioners together to examine a variety of topics, both foundational and leading edge. Content varies over successive offerings of the course. Successful completion required of all Honors Computing Science students during each Fall/Winter semester of their degree program. Prerequisite: Restricted to Honors Computing Science students, or permission of the Department.


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