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The integration of cyber, physical, and social spaces in modern societies, has led to the new paradigm of Cyber physical social systems (CPSS). CPSSs present evolving and dynamic environments, exhibiting constraints and interdependencies among the involved subjects. Consequently, behavioral characteristics of subjects become of paramount importance in studying the operation, efficiency, and effectiveness of CPSSs. The CPSS by emphasizing human society and its interaction with other components of the system aims to gather and organize resources in a semantic manner to be used for machines and humans. Our research focuses on incorporating user/human risks and behaviors in the modelling, developing efficient data fusion techniques and content caching strategies, studying information and mis-information (e.g., fake news) propagation models, while adopting data-driven methodologies towards providing efficient, convenient, and personalized services to humans.