Dr. Zhongchao Tan

Professor

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Biography

Chao Tan is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, where he also serves as the Director of the Research Lab for Green Energy and Pollution Control. He received his Bachelor of Science and Master of Science degrees from Tsinghua University in Beijing in the 1990s and completed his PhD at the University of Illinois at Urbana-Champaign in 2004. Professor Tan has held various leadership roles, including founding Executive Director of the Tsinghua-Waterloo Joint Research Centre for Energy and Environmental Technologies and Associate Dean (International) at Waterloo Engineering. His research interests encompass Green Energy and Pollution Control, Bioenergy, Carbon Emission Control, and related technologies. With over 120 peer-reviewed journal articles and more than 80 conference presentations, he has authored significant publications, including a widely downloaded textbook on Air Pollution and Greenhouse Gases. His academic and teaching contributions have been recognized with several awards, including Fellow of the Canadian Academy of Engineering and the Canadian Society of Mechanical Engineering. Tan has also won multiple teaching awards and has mentored over 100 highly qualified personnel throughout his career.

Research Interests

Awards

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Fellow, Canadian Academy Engineering (FCAE)

2022-01-01
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Fellow, Canadian Society Mechanical Engineering (FCSME)

2022-01-01
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Distinguished Visiting Professorship

2022-01-01
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Outstanding Performance Award

2021-01-01
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Departmental Teaching Award

2009-01-01
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Early Research Excellence Award

2008-01-01

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.