Reza Sabbagh, PhD

Adjunct Professor, Faculty of Engineering - Mechanical Engineering Dept

Contact

Adjunct Professor, Faculty of Engineering - Mechanical Engineering Dept
Email
Reza.Sabbagh@ualberta.ca

Faculty of Engineering - Mechanical Engineering Dept
Email
Reza.Sabbagh@ualberta.ca

Overview

Area of Study / Keywords

microfluidics; physical separation processes; hydrocyclones; optical measurements; biomechanics of livestock


About

I'm Reza Sabbagh, a Ph.D. graduate in Mechanical Engineering from the University of Alberta. My academic journey has been fueled by a strong passion for innovation, research, and practical problem-solving in engineering.

Beyond academia, I’m a social and engaged individual who enjoys connecting with professionals across disciplines. I occasionally organize and lead scientific events, deliver talks, and participate in professional gatherings aimed at fostering collaboration, sharing knowledge, and sparking innovation within the engineering and research communities.

I'm also actively involved in a startup company, where I leverage my technical expertise and entrepreneurial mindset to drive growth, tackle real-world challenges, and transform impactful ideas into practical solutions. Working at the intersection of research and industry allows me to stay on the cutting edge of technology while making meaningful contributions across both domains.


Research

I am a multidisciplinary researcher focused on microfluidics, physical separation processes, and biomechanics. My work integrates optical measurement techniques, hydrocyclone optimization at both macro and micro scales, and fluid dynamics modeling to enhance industrial and environmental systems.

Recently, I have expanded into the application of computer vision and AI in livestock biomechanics, developing automated tools for motion analysis and health monitoring. My broader research interests also include biomedical transport phenomena, biofluid mechanics, and experimental flow analysis. By combining experimental techniques with data-driven methods, I aim to develop practical, scalable solutions across engineering, biomedical, and agricultural domains.