Hussien Hegab

About

Dr. Hegab is an Assistant Professor and Professional Engineer with over 15 years of experience in advanced manufacturing, process optimization, and data-driven engineering. Dr. Hegab focuses on improving manufacturing performance, product quality, equipment reliability, and operational efficiency through process monitoring, analytics, modelling, simulation, optimization, and digitalization. Dr. Hegab’s expertise includes advanced manufacturing, data-driven performance improvement, process and tool condition monitoring, predictive maintenance, quality engineering, continuous improvement, sustainable manufacturing, and resource optimization. Dr. Hegab translates engineering research into practical solutions that improve reliability, reduce losses, strengthen process control, and deliver measurable improvements in quality, productivity, and sustainability. Through the Sustainable Manufacturing & Process Innovation Lab (SMPIL) at the University of Guelph, Dr. Hegab works with students, researchers, and industry partners to address manufacturing challenges through practical engineering methods, measurable results, and a clear path from research to implementation. Dr. Hegab also develops and delivers industry-focused training in quality engineering, continuous improvement, and data-driven decision-making.

Research Directions

1. Advanced Machining of Hard-to-Cut Materials and Sustainable Cooling & Lubrication
   Research on advanced machining of difficult-to-cut materials, sustainable cooling and lubrication, machining performance, tool wear, and resource-efficient manufacturing processes.

2. Data-Driven and Physics-Informed Optimization of Additive Manufacturing
   Research on additive manufacturing and fused deposition modelling, focusing on process monitoring, defect detection, process–property relationships, and data-driven and physics-informed approaches to improve print quality and manufacturing performance.

3. Predictive Maintenance and Data-Driven Condition Monitoring in Manufacturing
   Research on predictive maintenance, condition monitoring, tool condition monitoring, vibration-based monitoring, fault detection, and data-driven approaches for improving equipment reliability and manufacturing performance.

4. Circular Economy and Sustainability Assessment in Manufacturing
   Research on circular manufacturing, sustainability assessment, resource efficiency, life-cycle approaches, and data-driven methods for improving the environmental and resource performance of manufacturing systems.

Publications: Google Scholar – Dr. Hussien Hegab

Laboratory Website: Sustainable Manufacturing & Process Innovation Lab (SMPIL),
sampllab.ca

Courses taught by Dr. Hegab at the University of Guelph include:

• ENGG*2180 – Introduction to Manufacturing Processes
• ENGG*3280 – Machine Design
• ENGG*4030 – Manufacturing System Design
• ENGG*6090 – Special Topics in Engineering: Quality Engineering
• ENGG*6090 – Special Topics in Engineering: Operations Research for Engineers
• ENGG*6415 – Project Management for Engineers
• ENGG*6290 – Special Topics in Mechanical Engineering: Advanced Manufacturing
• UNIV*6090 – AI Applications and Society
• ENGG*6291 – Supply Chain Management
• ENGG*6292 – Quality Control

Research Collaboration and Industry Engagement

Dr. Hegab's industry collaborations are designed around specific manufacturing challenges and may include quality improvement and defect reduction, predictive maintenance and equipment reliability, process and production optimization, manufacturing data analytics, sustainable manufacturing, and digital decision-support.

Dr. Hegab works with industry partners to understand operational challenges, develop appropriate analytical and engineering methods, and validate solutions using realistic manufacturing data and conditions. This approach allows research outcomes to move beyond theoretical development toward practical implementation and measurable industrial impact.

Professional Education and Industry Knowledge Transfer

Dr. Hegab also supports industry through Quality Engineering professional education. A sequence of four stackable micro-credentials has been developed, with each credential approximately 15–20 hours in duration and designed to provide practical tools that professionals can apply directly in the workplace. The sequence covers foundational quality methods, quality control and risk, advanced quality systems, and an applied capstone experience. For more information, check this link: https://www.uoguelph.ca/continuing-studies/quality-engineering