Dr. Nauman Riaz Chaudhry is a distinguished individual with a robust academic and professional background in the realm of Computer Science. Commencing his teaching career in 2005 at the University of Gujrat. He is an accomplished researcher with a Ph.D. in Cloud-based Modeling and Simulation, Cloud-based Distributed Simulation, and Big Data Analytics from Brunel University London. His expertise spans a diverse range of domains, including Advanced Computing Infrastructures for Modeling and Simulation, Open Science for Simulation, Hybrid Distributed Simulation, Machine and Deep Learning, and Big Data Analytics. With over 19 years of dedicated teaching experience at esteemed academic institutions, Dr. Chaudhry has demonstrated a commitment to fostering the intellectual growth of students from diverse social and cultural backgrounds. His expertise extends beyond academia, encompassing more than 20 years of service as a senior software engineer, team lead, and head. His extensive analytical skills and broad computer expertise have been honed through years of practical experience. Dr. Chaudhry is recognized for his exceptional problem-solving abilities, showcasing a talent for quickly grasping complex systems and identifying opportunities for improvement. His administrative, verbal communication, and writing skills are exemplary, complemented by constructive and effective teaching methods that create a stimulating learning environment. During the pursuit of his Ph.D., Dr. Chaudhry actively contributed to the academic community by engaging in the teaching of M.Sc. Data Science at Brunel University London. These encompassed teaching modules such as Big Data Analytics and High-Performance Computing Infrastructure. His educational influence extends to the London School of Science and Technology, London. Since 2014, Dr. Chaudhry has been a key figure in numerous interdisciplinary research and development projects. Collaborating with stakeholders from diverse sectors such as manufacturing, healthcare, defense, and food supply chains, he has applied his expertise to address critical challenges. His participation in European research-funded projects, including the Cloud-based Simulation for Manufacturing & Engineering (CloudSME) project and the ICT for Governance and Policy Modelling project, further exemplifies his dedication to advancing technology and addressing real-world issues through innovative research and development initiatives.