Portrait of Dr. Mohamed R S Amar

Dr. Mohamed R S Amar

  • Assoc Professor of Instruction at Department of Engineering Technology, College of Science & Engineering
  • Assoc Professor of Instruction at Department of Engineering Technology, College of Science & Engineering
  • Program Faculty at Department of Engineering Technology, College of Science & Engineering

Biography

Dr. Mohamed Amar serves as the Director of the Engineering Management Doctoral Program and is an Associate Professor of Instruction in the Department of Engineering Technology at Texas State University. In this role, he provides academic leadership for the doctoral program while teaching, mentoring, and advising graduate students in engineering management. He is responsible for advancing the program's strategic vision, curriculum development, and student success while fostering interdisciplinary research and industry engagement.
Dr. Amar's teaching and research interests span engineering management, risk and resilience, sustainability, data analytics, decision sciences, and operations management. He teaches graduate-level courses in Risk Management and Resilience Analysis, Industrial Sustainability and the Circular Economy, Engineering Data Analytics, Decision Making Under Uncertainty, Supply Chain Management, and Research Methods. His work emphasizes the application of data-driven decision-making, resilient systems, and sustainable engineering practices to address complex organizational and industrial challenges.
Dr. Amar holds two Ph.D. degrees: a Ph.D. in Construction Engineering and Management (2017) and a Ph.D. in Industrial/Biomedical Engineering (2015). He also earned two master's degrees: an M.S. in Construction Engineering and Management (2016) and an M.S. in Industrial Engineering (2010). He completed his undergraduate education with a Bachelor of Science in Industrial Engineering (2004).

Research Interests

Dr. Amar’s research and scholarly interests include risk management and resilience in engineering and organizational systems; uncertainty modeling and stochastic quantitative modeling; probabilistic risk assessment and decision theory; supply chain and operational risk; sustainability and performance metrics in industrial systems; system reliability and performance analysis; human factors management; and safety and occupational performance.

Teaching Interests

Risk Management and Resilience Analysis, Engineering Data Analytics, Decision-Making Under Uncertainty, Research Methods, Operations and Supply Chain Management, Industrial Sustainability and Circular Economy, Decision and Risk Analysis, Project Management, Data Analytics, Strategic Management and Planning, Teamwork for Organizational Commitment and Collaboration, Stochastic Quantitative Modeling, Human Factors Management, and Safety and Occupational Performance.