Dr Waleed Abo-Hamad

My research interests centre on the integration of Artificial Intelligence, advanced analytics, and simulation-based optimisation within business processes, operations management, and supply chain management. I examine how machine learning, process mining, and hybrid modelling approaches—combining discrete event simulation and system dynamics—can be embedded into intelligent decision support systems to enhance operational performance across healthcare and complex service networks. My work aims to develop AI-enabled frameworks that improve capacity planning, resource allocation, process redesign, and end-to-end supply chain optimisation. A key focus is the design of adaptive, data-driven operational platforms that move organisations from reactive performance management toward predictive and autonomous decision-making ecosystems.

I have extensive experience teaching across undergraduate and postgraduate programmes in operations management, supply chain management, business analytics, and project management. My teaching approach combines analytical rigour with applied problem-solving, integrating real-world case studies, simulation tools, and data-driven decision frameworks to enhance student learning. In addition to curriculum design and module leadership, I have held programme management responsibilities, contributing to academic quality assurance, programme development, and strategic academic planning. I actively supervise postgraduate research and mentor students in applied consultancy and industry-linked projects, fostering both scholarly excellence and professional impact.