معرفی
Ashiq Anjum is Professor of Cloud Computing at the University of Derby's School of Computing and Mathematics. He has established himself as a leading researcher in cloud computing, big data analytics, and related fields with over 145 publications spanning from 2003 to 2025. His research has consistently focused on advancing cloud infrastructure, distributed systems, and data analytics techniques.
Professor Anjum's research interests encompass Cloud Computing, Big Data Analytics, Edge Computing, Blockchain, Machine Learning, Video Analytics, Internet of Things, and Distributed Systems. His work bridges theoretical advancements with practical applications, particularly in developing efficient systems for data-intensive computing environments. He has made significant contributions to optimizing cloud resource management, developing novel approaches for blockchain storage, and creating efficient machine learning architectures for edge devices.
His recent publications reveal a strong trend toward integrating AI/ML techniques with cloud and edge infrastructure, with particular emphasis on explainable AI, physics-informed neural networks, and energy-efficient computing. His work spans both theoretical foundations and practical implementations across various application domains including healthcare, security, and industrial IoT systems.
Professor Anjum has collaborated extensively with researchers worldwide, with notable long-term collaborations with Richard McClatchey, Lu Liu, Richard Hill, and Nick Antonopoulos. His research has appeared in top-tier journals including Future Generation Computer Systems, IEEE Transactions on Cloud Computing, and Journal of Cloud Computing.
His research group has developed innovative approaches for video analytics in cloud environments, blockchain-based storage solutions, and edge-enhanced deep learning systems. Current projects appear to focus on digital twin technologies, explainable AI for decision systems, and adaptive resource management for distributed computing environments.
