Description

The SeNGIS (Secure Next-Generation Intelligent Systems) Research Group is dedicated to advancing the security, reliability and trustworthiness of intelligent technologies that shape the future. Our research focuses on developing secure cyber-physical systems, including Human Digital Twins and Digital Twin Networks, which are emerging paradigms that mirror real-world entities through real-time, data-driven models. We formulate secure and privacy-preserving mechanisms for data sharing and collaborative intelligence, especially in decentralized, dynamic, and resource-constrained environments. Our work intersects mathematical modelling, security, AI, and cloud-edge-mobile computing to ensure that next-generation systems are not only intelligent but also resilient and ethically aligned. As this field continues to evolve, we aim to stay at the forefront by developing solutions that address both current and future societal needs. Through mentorship, collaboration, and innovation, SeNGIS seeks to be a nurturing environment where ideas flourish and future leaders in intelligent systems are shaped.