Dr Ibrahim Fikry is a SyMeCo postdoctoral fellow with Lero@UoG, undertaking his fellowship under the supervision of Prof Kieran Conboy. He received his PhD in Industrial Engineering and Systems Management in 2022 from the Egypt-Japan University of Science and Technology (E-JUST). He also holds a Master’s degree in Mechanical Engineering from Ain Shams University, Egypt, and has a solid background in industrial engineering. His research interests focus on optimisation, supply chain management, and simulation of industrial systems. Before joining Lero, Ibrahim served as an Assistant Professor at the Faculty of Engineering, Ain Shams University. He has also taught at several Egyptian universities, including Galala University, the Arab Academy for Science, Technology & Maritime Transport, and NOVA University (international campus hosted by TKH in Cairo). Ibrahim has published research on agro-food supply chains, robust optimisation, and the application of Discrete Event Simulation (DES) in industrial environments.

Ibrahim’s SyMeCo research project, titled “Business Analytics for Resilient and Optimised Supply Chains”, investigates how supply chain performance changes under different types of disruption. The project adopts a Digital Twin (DT) approach to evaluate current performance through simulation and to analyse how performance shifts under a variety of disruption scenarios. The aim is to identify operational strategies that can enhance supply chain responsiveness and resilience.

Project impact – The project seeks to develop a DT-based foundation that integrates operational data across supply chain echelons. It focuses on designing strategies that enable supply chains to respond effectively to disruptions, improving decision-making by revealing how unexpected events affect system performance. The project ultimately delivers advanced analytics-driven insights into responsiveness and resilience.

Interdisciplinary aspects: The research adopts a multidisciplinary methodology, drawing from information systems, operations research, and supply chain management. This integrative approach provides a comprehensive understanding of how analytical and computational tools can be used to design, assess, and enhance fluid and adaptive supply chains.