Abstract

The evolution from traditional cloud architectures to brain-inspired neuromorphic systems represents a fundamental shift in computing paradigms. This keynote explores this transformation through advances in cybersecurity, AI, and healthcare applications. Beginning with the multi-layered Cloud Computing Adoption Framework that established secure foundations, we track how edge computing brought intelligence closer to data sources. The talk examines AI-driven healthcare platforms that achieve 90%+ diagnostic accuracy and cybersecurity innovations, including a Deep-IFS fog computing framework that improves threat detection by 25%. We will explore how federated learning techniques secure 6G networks while preserving privacy and how explainable AI builds trust in critical environments. The presentation concludes by examining software-defined neuromorphic computing’s potential to overcome the von Neumann bottleneck, integrating memory with computation to create more efficient, adaptive systems capable of emulating cognitive processes while dramatically reducing energy consumption. Through case studies spanning multiple industries, this keynote demonstrates how neuromorphic computing can revolutionize both cybersecurity approaches and healthcare analytics.

Speaker Biography

Prof. Victor Chang is a Professor of Business Analytics at Aston University and an internationally recognized expert in AI, cybersecurity, and healthcare technologies. He has been involved in projects exceeding £14 million in value, including over £3 million as a PI. His pioneering works on the Cloud Computing Adoption Framework (CCAF), Deep-IFS intrusion detection system, and AI-driven Internet of Medical Things (IoMT) platforms have advanced clinical diagnostics and secure cloud architectures globally. Prof. Chang has delivered over 55 keynotes, published over 300 peer-reviewed papers, and served on editorial boards for several leading IEEE journals, e.g., IEEE TII, TSC, and others, e.g., Information Fusion, Scientific Reports, etc. His solutions have been used by in the UK and Asia, with over 90% healthcare diagnostic accuracy and 99% malware defense in edge environments. As a Fellow of IET, BCS, numerous societies, and a recipient of the 2024 UK Inspirational Individual Award, Data Leader of the Year 2025 (In-House), his leadership in applied AI continues to shape real-world innovation in data science and cyber-physical systems. Some of his projects are available on https://www.youtube.com/@novelresearchandtalks2144/videos.