On December 3rd, 2024, Dr. Sabari Nathan Anbalagan successfully defended his PhD thesis titled "SPECTRUM: Towards Self-Aware Industrial IoT Systems." This groundbreaking research, conducted within our research group, addresses critical challenges in the Industrial Internet of Things (IIoT) and contributes to the advancement of intelligent, context-aware industrial systems.
The thesis explores the potential of 5G technology, augmented by Artificial Intelligence (AI), to meet the diverse Quality of Service (QoS) requirements of Industry 4.0 applications. These include achieving high data rates, low latency, robust reliability, power efficiency, scalability, and mobility in the complex, dynamic environments typical of manufacturing industries.
Dr. Anbalagan proposed a multifaceted approach to optimize 5G-based IIoT systems, including the analysis/development of innovative Channel Quality Prediction (CQP) techniques and a framework for assessing IIoT system maturity. Their research demonstrates practical solutions for enhancing wireless communication in industrial settings, offering significant insights for current and future advancements in 5G and 6G technologies.
This work represents a significant contribution to the field of industrial wireless communications and underlines the transformative potential of 5G-powered IIoT systems in realizing the goals of the Fourth Industrial Revolution.
Congratulations to Dr. Sabari Nathan Anbalagan on this remarkable achievement!
