报告人：Rajiv Ranjan, Newcastle University

报告题目：Data and Resource Management Challenges for Digital Twins

报告时间：2024年10月16日14:00-15:00

报告地点：金沙集团1862cc橙色二楼报告厅201

Abstract:

Digital twins are revolutionizing industries by providing real-time simulation, monitoring, and predictive analytics capabilities. However, their success hinges on overcoming significant data and resource management challenges. This keynote will explore four key issues critical to the advancement and scalability of digital twins. First, we will discuss the complexities of real-time data processing within the edge-cloud-IoT continuum, emphasizing the need for seamless integration and efficient resource allocation across distributed systems. Second, we will explore the use of Large Language Models (LLMs) for dynamic verification of the resilience of digital twins, highlighting their potential to enhance adaptability and real-time decision-making. Third, we will examine end-to-end monitoring strategies to ensure data integrity, transparency, and reliability, enabling trust in automated decision processes. Finally, we will address the integration of emerging computational technologies, such as quantum accelerators (e.g., Quantum Brilliance) and neuromorphic chips (like Intel Loihi and BrainChip Akida), at the edge network to accelerate data processing and improve the responsiveness of digital twins. This talk will provide insights into how these advancements can be leveraged to develop robust, scalable, and intelligent digital twin ecosystems, driving innovation and efficiency in real-world applications.

Biography:

Professor Rajiv Ranjan is an Australian-British computer scientist, of Indian origin, known for his research in Distributed Systems (Cloud Computing, Big Data, and the Internet of Things). He is University Chair Professor for the Internet of Things research in the School of Computing of Newcastle University, United Kingdom. He is an internationally established scientist in the area of Distributed Systems (having published about 350 scientific papers). He is a fellow of IEEE (2024), Academia Europaea (2022) and the Asia-Pacific Artificial Intelligence Association (2023). He is also the Founding Director of the International Centre (UK-Australia) on the EV Security and National Edge Artificial Intelligence Hub, both funded by EPSRC. He has secured more than $64 Million AUD (£32 Million+ GBP) in the form of competitive research grants from both public and private agencies. He is an innovator with strong and sustained academic and industrial impact and a globally recognized R&D leader with a proven track record. He serves on the editorial boards of top quality international journals including IEEE Transactions on Computers (2014-2016), IEEE Transactions on Cloud Computing, ACM Transactions on the Internet of Things, The Computer (Oxford University), and The Computing (Springer) and Future Generation Computer Systems. He led the Blue Skies section (department, 2014-2019) of IEEE Cloud Computing, where his principal role was to identify and write about the most important, cutting-edge research issues at the intersection of multiple, inter-dependent research disciplines within distributed systems research area including Internet of Things, Big Data Analytics, Cloud Computing, and Edge Computing. He is one of the highly cited authors in computer science and software engineering worldwide (h-index=80+, g-index=250+, and 31000+ Google Scholar citations, h-index=60+ and 16000+ Scopus citations, and h-index=50+ and 10000+ Web of Science Citations).