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As Professor Mahmoud Barghash at the University of Jordan, my research endeavors are deeply rooted in the fields of optimization and supply chain management, with a particular focus on multi-echelon inventory systems. I am dedicated to advancing the theoretical and practical understanding of these complex systems, exploring how reinforcement learning can be employed to optimize inventory decisions across multiple layers of the supply chain. By leveraging modern computational techniques and algorithms, my work seeks to address challenges such as demand variability, cost efficiency, and resource allocation in dynamic and uncertain environments. Through this research, I aim to develop robust models that not only enhance operational efficiency but also provide valuable insights for strategic decision-making in supply chains. Beyond the realms of supply chain management and risk assessment, I am also actively engaged in research that addresses global challenges, particularly in the context of food security. My recent work involves the implementation of hydroponic systems in arid regions as a sustainable solution to food production. This research not only focuses on the technological aspects of hydroponics but also encompasses broader considerations such as economic feasibility, environmental impact, and employability. By conducting comprehensive gap analyses and feasibility studies, I strive to identify the optimal strategies for technology transfer and the successful adoption of hydroponics in desert areas. My ultimate goal is to contribute to global food security efforts by advancing innovative agricultural practices that are both sustainable and scalable.