Dr. Yong Zeng is a Professor in the Concordia Institute for Information Systems Engineering at Concordia University. He was an NSERC Chair in Aerospace Design Engineering program (2015 - 2019). He was the Canada Research Chair (Tier II) in design science (2004 - 2014). Prior to joining in Concordia in August 2003, he was a research associate in the Integrated Manufacturing Technologies Institute at the National Research Council of Canada for about two years after he received his Ph.D. from Department of Mechanical and Manufacturing Engineering at the University of Calgary in 2001. He obtained another PhD degree in Computational Mechanics from Dalian University of Technology in 1992, where he also received his Master's degree in 1989. Between his two PhD studies, he was a faculty member in the Department of Civil and Architectural Engineering at the Institute of Logistics Engineering, where he completed his B.Eng degree in Structural Engineering in 1986.
Zeng’s research aims to understand and improve creative design activities. He has proposed a new design theory called Environment-Based Design. Specific topics of his research include the science of design, methodology for innovative and creative design, neurocognitive model of design creativity, computer-aided conceptual design, and interplay between linguistics and design creativity. He has been developing formal and experimental approaches to design research. He has been an Editor-in-Chief of Journal of Integrated Design and Process Science since January 2012 (IOS), Associate Editor of International Journal of Product Development (September 2011 - 2016, Inderscience), and an editorial board member of Computers in Industry since October 2011 (Elsevier). He collaborates and consults with aerospace industry, medical device design companies, construction companies, recruitment industry, and municipality for the applications of his research results.
Education
Ph.D. (2001) Design Engineering, University of Calgary, Canada
Ph.D. (1992) Computational Mechanics, Dalian University of Technology, China
Research interests
Innovative and creative design: theory and methodology, cognitive experiments, and computational technologies
Doctoral study
We are recruiting multiple PhD students to work on industrial and healthcare project, with the following background:
- Strong background in Natural Language Processing or EEG data analysis;
- Outstanding knowledge in machine learning, AI algorithms, formal language and logic, discrete mathematics, and graph theory;
- Excellent ability to develop models and/or algorithms;
- Experienced in Python programming or C#; and
- Excellent technical/scientific writing ability.
Master's study
We are recruiting multiple Master's students to work on a health care project with the following background:
- Education in computer science or computational engineering;
- Excellent programming abilities, preferably in Python; and
- Very good scientific writing ability.
Application conditions
Please note that we will not reply to e-mails for general inquiries regarding graduate studies. Serious candidates please send a critical review of at least 1 related article published by us, in addition to your resume and other materials you judge to be necessary, to the following contact:
Dr. Yong Zeng
E-mail: yong.zeng@concordia.ca
