Fatima Afifah is a research associate with expertise in transportation planning and systems analysis, specialising in mathematical modelling, predictive analytics, and reinforcement learning to enhance urban mobility, incident management, and sustainable transportation systems. Her current role at the University of Strathclyde involves developing innovative transportation tools, notably OseMobility, which integrates zone-based analysis and comprehensive mode-choice modelling to address transportation challenges in low- and middle-income countries. Fatima’s interdisciplinary skillset includes proficiency in deep learning, reinforcement learning, optimisation, and web development, supported by experience in SUMO simulations, data analytics, and accessibility metrics. With a keen interest in sustainability and transport equity, Fatima has contributed to several high-impact projects, proposals, and scholarly publications, focusing particularly on the integration of AI-driven solutions to enhance urban mobility and reduce environmental impacts. She is dedicated to creating innovative, data-driven solutions, bridging advanced research methodologies with practical applications in transportation management, infrastructure planning, and decarbonisation strategies.