Dr. Ali Akbar ForouzeshNejad is a Senior Lecturer at the University of Portsmouth and holds a PhD in Artificial Intelligence from the same institution. His research focuses on Explainable Artificial Intelligence (XAI), interpretable and trustworthy machine learning, and AI-supported decision-making in complex socio-technical environments. His work develops transparent, human-interpretable AI approaches, with particular emphasis on hierarchical XAI, concept-based models, predictive analytics, and emerging applications of reinforcement learning. These methods are applied to Agile project delivery, software engineering, FinTech, digital transformation, and organisational decision-making. He brings more than two decades of professional experience in technology, telecommunications, FinTech, Agile delivery, and project management, bridging AI research and real-world implementation. Dr. ForouzeshNejad serves as an Associate Editor and contributes to Special Issues and peer-review activities across AI, machine learning, software engineering, and computational intelligence. His current research agenda focuses on advancing explainable, trustworthy, and human-centred AI for responsible, high-impact applications across UK industry and society.