Harshpreet Kaur

Her research focuses on the integration of Digital Twin technology with advanced wireless communication networks to develop intelligent, adaptive, and resilient cyber-physical systems. The work emphasizes real-time data acquisition, AI-driven predictive analytics to ensure transparency, reliability, and informed decision-making. It includes comprehensive scientometric analyses that examine global research trends, thematic evolution, and emerging directions of Digital Twin across Industry 4.0 and multi-domain applications. Additionally, the research proposes intelligent Digital Twin-driven frameworks for real-time performance assessment in IoT-enabled autonomous systems, incorporating machine learning and deep learning techniques. Contributions span both analytical studies and applied modeling frameworks, with applications in industrial automation, autonomous driving, and smart systems. The overall objective is to advance efficient, scalable, and trustworthy Digital Twin ecosystems through wireless connectivity, interpretable AI, and intelligent automation.