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Professor McAuley specializes in Chemical Engineering with a robust background in mathematical modeling, chemical reaction engineering, applied statistics, and process control. He is renowned for his extensive research focusing on mathematical models for chemical and biochemical processes aimed at enhancing product quality and optimizing production rates. His innovative contributions to parameter estimation techniques have aided companies in effectively scaling-up and optimizing production processes, particularly when faced with complex challenges such as uncertainty in parameter values. McAuley’s work spans several advanced topics including polymer reaction engineering and process monitoring, which are critical in the fields of pharmaceuticals and biomass gasification. His doctoral supervision reflects a dedication to advancing the academic journey of students, where he has nurtured numerous theses related to pharmaceutical modeling and polymer production. Over the years, he has actively contributed to the scientific community with publications in prominent journals showcasing breakthroughs in kinetic modeling and parameter estimation frameworks. McAuley’s commitment to education is demonstrated through a variety of teaching accolades and mentorship awards, recognizing his influential role in fostering the next generation of engineers. His academic journey and achievements position him as a leader in the field of Chemical Engineering at Queen's University.
Queen's University • Kingston, ON, Canada
Teaching and research in the field of Chemical Engineering, with a focus on process optimization and modeling.
Department of Computing offers research-based, project-based, and course-based patterns.