Farajollah (Fred) completed his PhD in Computer Science at Ulster University in 2024, where his research focused on multi-objective evolutionary algorithms through the integration of reinforcement learning and hybrid structures to enhance optimization processes. This expertise is further complemented by his work as a research assistant at the National Center for Food Manufacturing (NCFM) at the University of Lincoln, where he developed predictive models and applied machine learning techniques, using data visualization and GIS-based analytics to generate actionable insights.
His research interests include nature-inspired algorithms and data-driven solutions for complex system optimization. Since November 2024, Fred has been working as a Research Associate at the University of York within the REID program, to focus on challenges related to optimizing complex systems.