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Tianci Li is a Lab Instructor in Industrial Systems Engineering at the University of Regina. His research primarily focuses on carbon capture processes, innovative heat exchanger designs, and machine learning applications in engineering systems. He has co-authored several articles that explore the assessment of carbon capture technologies and novel configurations for enhancing energy efficiency. Tianci is actively engaged in research that aims to develop predictive models and optimize processes to reduce environmental impact, particularly in the context of fossil fuel usage. His contributions to the field include studies on gas processing sensitivity, performance assessments of catalytic heat exchangers, and avenues for preventing carbon dioxide emissions.
Standard graduate requirements applicable to most departments including Science, Engineering, and Arts.