Computation Models For Marketing & Business Management Research Line

Decision making in management is affected by complexity and emerging phenomena. Complexity science and artificial intelligence methods and technologies can help capture and represent the most important information to make critical decisions effectively and efficiently. A set of diverse techniques such as agent-based modeling, social network analysis, evolutionary game theory, evolutionary algorithms, fuzzy sets, and […]

Educational Data Mining & Learning Analytics Research Line

Educational Data Mining (EDM) and Learning Analytics (LA) use data analysis to enhance education by extracting patterns and trends from student performance, behavior, and interactions. These disciplines optimize learning processes, identify struggling students, and personalize learning experiences. Integrating them promises to revolutionize education and foster student success in the digital age. Current DaSCI research lines:

Artificial Intelligence for Sustainability Research Line

Artificial Intelligence (AI) for sustainability refers to the application of AI technologies and techniques to address environmental, social, and economic challenges with the ultimate goal of promoting sustainable development and preserving the planet’s resources for future generations. AI plays a pivotal role in analyzing vast amounts of data related to climate change, biodiversity, energy consumption, […]

Industry 4.0, Predictive Maintenance & Digital Twin Research Line

Industry 4.0 represents a paradigm shift in manufacturing, driven by the integration of digital technologies and the physical world. Among its transformative aspects are predictive maintenance and digital twins. Predictive Maintenance (PdM) leverages data from sensors and advanced analytics to anticipate equipment failures, optimizing maintenance schedules and reducing downtime. On the other hand, Digital Twins […]

Artificial Intelligence For Digital Health & Medicine Research Line

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in medicine and digital health not only enhances human capabilities but also enriches individuals’ survival skills and improves overall health. Additionally, it serves as invaluable support in forensic medicine decision-making processes.  DaSCI researchers are working on various projects related to early diagnosis and personalized treatment […]