معرفی
Dr. Mohammed K.S. Al-Mhdawi is a Lecturer (Assistant Professor) in Engineering Project Management at the School of Computing, Engineering, and Digital Technologies (SCEDT), Teesside University, UK. With over 13 years of professional experience, he specializes in integrating risk and safety management across various industries including construction, manufacturing, mining, oil and gas, finance, space, and healthcare systems.
Dr. Al-Mhdawi earned his Ph.D. in Risk Management from the University of Southampton and holds a PgCert in Learning and Teaching in Higher Education from Teesside University. His academic journey has equipped him with expertise in quantitative risk modeling techniques and practical industry applications.
His research primarily focuses on modeling risk behavior, capturing dependencies between risk factors, and examining the roles of digitalization and sustainability in risk engineering. He develops risk-based decision support systems for complex settings, with particular emphasis on hazard recognition, safety risk perception, safety culture parameters, and managing diversity in the construction workforce. His methodological expertise includes Fuzzy Sets Theory, Artificial Neural Networks, Bayesian Networks, Analytical Hierarchy Process, Discrete Event Simulation, and Structural Equation Modeling.
Dr. Al-Mhdawi's publication record demonstrates strong trends in applying advanced quantitative methods to sustainability challenges, particularly using Bayesian networks for risk assessment across various domains including construction, healthcare, and global supply chains. His recent work increasingly integrates AI and digital transformation concepts with traditional risk management frameworks.
As an active researcher, Dr. Al-Mhdawi has secured multiple funded projects as Principal or Co-Principal Investigator with total funding exceeding £300,000. This includes a £164,000 project funded by the European Space Agency (ESA) to develop a CubeSat safety risk management platform, a £50,000 grant from the Association for Project Management investigating AI-driven digital transformation, and projects funded by the American University of Sharjah focused on sustainable risk management in oil and gas construction.
Dr. Al-Mhdawi currently supervises eleven PhD students working on diverse topics including fire risk design, AI in construction risk management, occupational health in aviation, and digital technologies for safety risk management in biogas industries. He also collaborates with multiple institutions including Trinity College Dublin, University of Southampton, and industry partners like Plastron UK Ltd on developing agile compliance frameworks for space standardization.
