Dr. Jeff Gostick

Professor

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Biography

Jeff Gostick is a Professor in the Department of Chemical Engineering at the University of Waterloo. He specializes in porous materials, particularly in the fields of energy storage and transport phenomena. His research includes various aspects of image processing, pore network modeling, and computational multiphysics, aimed at better understanding objectives in porous media and multiphase flow. Gostick has been recognized with several awards for his contributions to the field, including the Azzam-Dullien Professor in Transport in Porous Media and the Faculty of Engineering Research Excellence Award. He has also received honor from the Canadian Society for Chemical Engineering as an “Emerging Leader” and has been awarded several fellowships and scholarships throughout his academic career.

Research Interests

Porous Materials Electrodes Energy Storage Transport Phenomena Image Processing Pore Network Modeling Computational Multiphysics Porous Media Multiphase Flow Electrochemical Energy Conversion

Awards

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Azzam-Dullien Professor in Transport in Porous Media

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Faculty of Engineering Research Excellence Award

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Waterloo Institute for Nanotechnology Achievement Award

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Canadian Society for Chemical Engineering “Emerging Leader” Honoree

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Dean’s Scholarship for Active Learning Development

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NSERC Postdoctoral Fellowship

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Park M Reilly Medal for Best PhD Thesis in the Department

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Japan Society for the Promotion of Science Visiting Scholarship

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NSERC PGS-D2 Graduate Fellowship

Courses

CHE 181 - Chemical Engineering Design Studio 2 CHE 200 - Equilibrium Stage Operations CHE 614 - Capillary and Transport Phenomena in Porous Media NE 111 - Introduction to Programming for Engineers

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.