EUDRES2.0 Bank of Researchers - researcher details

Highest degree: Doctorate

Degree name: PhD

Area of expertise: Engineering and technology

Skills: Professor and researcher in Information Systems, Artificial Intelligence, Business Intelligence, Data Analytics, and Digital Transformation. Currently pursuing a doctoral thesis at the University of Coimbra, focusing on AI capabilities, data-driven decision making, organizational agility, and digital transformation. His experience includes systematic literature reviews, bibliometric analysis, Structural Equation Modeling (SEM), predictive analytics, and AI-based research methodologies. He has experience coordinating interdisciplinary research projects, developing data-driven solutions, and applying innovative teaching methodologies in higher education. His current research interests include AI adoption, explainable AI, consumer behavior, digital health technologies, and organizational transformation, with a strong emphasis on international collaborative research and applied innovation projects.

Keywords: Artificial Intelligence Business Intelligence Data Analytics Information Systems Digital Transformation Explainable AI Data-Driven Decision Making Organizational Agility Consumer Behavior AI Adoption Health Technologies Digital Health Business Process Agility Data Mining Human-AI Interaction AI in Marketing Digital Innovation Educational Technology AI Governance

Silvio Menezes

Professor & Researcher