Dr. James Craig

Professor

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Biography

James R. Craig is a Professor in the Department of Civil and Environmental Engineering at the University of Waterloo. His expertise includes numerical analytical modeling of water resource systems, focusing on surface water hydrology, regional-scale groundwater flow, and subsurface heat transfer and phase change simulation. Professor Craig's research program bridges the divide between fundamental theory and practical applications, developing robust and accurate modeling approaches used in water management, operations, and policy. His work advances a toolkit of hybrid analytical-numerical methods addressing a diverse range of problems within fields such as discontinuous permafrost hydrology, carbon sequestration, geothermal loop design, and oil sands remediation. He is the lead software developer of the open-source Raven Hydrological Modeling framework, which is adopted by organizations across Canada for water resources assessment and flood forecasting. Over his career, Professor Craig has received multiple prestigious awards recognizing his research, service, and teaching excellence, including the Ontario Early Researcher Award in 2011 and the Faculty of Engineering Distinguished Performance Award in 2012.

Research Interests

Awards

#2011

Ontario Early Researcher Award

#2002

Don Rennie Memorial Award

#2004

IGERT Fellowship

#2004

CSEE Chair's Recognition Award

#2012

Faculty of Engineering Distinguished Performance Award

#2018

UW Engineering Society Teaching Excellence Award

Courses

CIVE 680 - Water Management CIVE 781 - Principles of Hydrologic Modelling ENVE 279 - Energy and Environment ENVE 280 - Fluid Mechanics

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.