Dr. Sylvia Sleep

Assistant Professor

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Biography

Sylvia Sleep is an Assistant Professor in the Department of Sustainable Systems Engineering at the University of Calgary. She received her PhD in Civil and Mineral Engineering from the University of Toronto in 2018, where her research focused on utilizing life cycle assessment to evaluate the greenhouse gas mitigation potential of emerging oil sands technologies. Prior to her current faculty position, she completed the Eyes High Postdoctoral Fellowship in Chemical and Petroleum Engineering at the University of Calgary, concentrating on systems-level assessments of carbon capture utilization technologies. Sylvia's expertise lies in the development and integration of assessment tools, including life cycle assessment (LCA) and techno-economic assessment (TEA), along with energy system modeling to evaluate new technologies that could significantly contribute to decarbonization. Presently, her research interests encompass the development of the Canadian Open Energy (CANOE) model using the TEMOA framework, improving early-stage technology assessments, and integrating LCA, TEA, and geospatial modeling to assess the benefits and trade-offs of low-carbon hydrogen technologies, carbon capture, utilization and storage, and carbon dioxide removal strategies. She has been actively involved in the ACCT Network, focusing on carbon capture utilization technologies.

Research Interests

Experience

Assistant Professor

2023-01-01 — Present

University of Calgary • Calgary, AB, Canada

Assistant Professor in the Department of Sustainable Systems Engineering.

Courses

Quantitative Methods for Sustainable Design Life Cycle Assessment Engineering Economics Decision-Making

Requirements for University of Calgary

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:97
GRE General
Verbal
Required:150
Quantitative
Required:159
Analytical Writing
Required:5.5
Overall
Required:5.5
Prerequisites
4-year Bachelor's degree in Computer Science or equivalent 3rd or 4th year course in Theory of Computation 3rd or 4th year course in Software Engineering 3rd or 4th year course in Systems (OS, Compilers, Networking) 3rd or 4th year course in Application (AI, Graphics, Databases)
Application Checklist
  • Unofficial Transcripts
  • Curriculum Vitae
  • Statement of Purpose
  • Two Letters of Reference
Specialization Notes

Department of Computer Science Master's program. GRE scores are expected for international students.