Ali Elkamel, PEng

Ali Elkamel is a Professor Emeritus in the Department of Chemical Engineering and an Adjunct Professor and is cross-appointed to Systems Design Engineering and Management Science & Engineering.

• Process Systems Engineering (PSE)

My research has focused on advancing Process Systems Engineering (PSE) to address critical challenges in sustainability, carbon management, and optimal design of complex chemical and energy systems. Through a systems approach, my team and I have developed innovative models and decision-support tools for CO₂ mitigation, environmentally conscious process planning, and sustainable energy production pathways. We collaborated extensively with industry (e.g., Ontario Power Generation, Enbridge, Virox Technologies) and received multiple international awards and research spotlights for work in areas such as power-to-gas systems, hydrogen economy, and pollution reduction strategies in power generation, refining, and cement sectors.

Our research contributions span the development of optimization methods for air quality monitoring, integrated water and hydrogen networks, enterprise-wide energy planning, and green product design using biotechnology, nanotechnology, and renewable materials. These efforts reflect a commitment to creating economically viable and environmentally responsible solutions. Collaboration has been central to my work both with academic colleagues and industrial partners leading to impactful real-world applications and the mentoring of a new generation of researchers in modeling, optimization, and sustainability-driven innovation.

• Doctorate Chemical Engineering

• BME 213 - Statistics and Experimental Design
  • Taught in 2022, 2023
• CHE 220 - Process Data Analysis
  • Taught in 2021, 2022
• CHE 322 - Numerical Methods for Process Analysis and Design
  • Taught in 2023
• CHE 341 - Introduction to Process Control
  • Taught in 2022
• CHE 521 - Process Optimization
  • Taught in 2022, 2023
• CHE 571 - Industrial Ecology
  • Taught in 2020
• NE 215 - Probability and Statistics
  • Taught in 2020, 2021, 2022

* Only courses taught in the past 5 years are displayed.