Dr. Carl Haas

Professor

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Biography

Carl T. Haas is a Professor at the University of Waterloo and holds a University Research Chair. His research focuses on areas such as construction human-robotic systems, infrastructure computer vision, capital projects process analytics, construction productivity, and the circular economy in the built environment. He has supported various organizations including National Research Council of Canada, Ontario Power Generation, Construction Industry Institute, and the Natural Sciences and Engineering Research Council of Canada. With over 500 publications, including 215 refereed journal articles, Professor Haas co-edited the book 'Infrastructure Computer Vision' with Ioannis Brilakis from the University of Cambridge. He serves on several editorial boards and professional committees, including the American Society of Civil Engineers and the International Association for Automation and Robotics in Construction. He is a Fellow of the Royal Society of Canada and the Canadian Academy of Engineering, and he is a member of the National Academy of Construction. His accolades include the ASCE Peurifoy Construction Research Award in 2015 and the University of Waterloo Award of Excellence in Graduate Supervision in 2017. He has also received the ASCE Computing in Civil Engineering Award and the Alan Russell Award from the Canadian Society of Civil Engineers in 2019.

Research Interests

Awards

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ASCE Peurifoy Construction Research Award

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University of Waterloo Award of Excellence in Graduate Supervision

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ASCE Computing Civil Engineering Award

Courses

CIVE 596 - Construction Engineering CIVE 700 - Topics in Structural Engineering

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.