Vision 

To excel in developing multimodal ambient intelligent systems for crowd monitoring and resource management in smart buildings and cities, pioneering cooperative learning at the edge, innovating edge-driven CPS architectures for diverse applications such as food safety, agriculture, and disaster response, optimizing real-time systems at the edge, and advancing cooperative robotics and drone technologies.

Mission 

To leverage advanced computing paradigms such as edge and fog computing, along with intelligent algorithms like machine learning and deep learning, to enhance the functionality, scalability, and security of various cyber-physical systems.