Jaime Campos

Associate professor
Department of Informatics Faculty of Technology
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Jaime Campos is an Associate Professor in Informatics at Linnaeus University, Sweden. His research focuses on industrial informatics and human-centered digital transformation, with particular emphasis on decision support and the application of data-driven and AI-based systems in real-world organizational contexts. His work has been applied primarily in industrial maintenance and asset management, as well as in healthcare and eHealth settings.

He has an interdisciplinary background in Informatics and Business Economics. He studied Informatics at the University of Gothenburg and Business Economics at the School of Business, Economics and Law at the University of Gothenburg.

His doctoral research was conducted within the EU-funded DYNAMITE (Dynamic Decisions in Maintenance) project, in collaboration with VTT Technical Research Centre of Finland. Within this project, he developed and evaluated applications based on web, mobile, embedded, and agent-based technologies for industrial maintenance and production environments.

His current research explores the integration of artificial intelligence, including machine learning, explainable AI (XAI), and large language model–based approaches, into socio-technical systems that support organizational and business decision-making. His work emphasizes interpretability, usability, and informed human decision-making in AI-enabled solutions.

He is the author and co-author of scientific publications in industrial informatics, maintenance and asset management, healthcare and eHealth, and applied data analytics. In addition, he is the coordinator of the Master’s Programme in Information Systems at Linnaeus University and teaches courses such as AI for Competitive Advantage, Digital Capability for Organizational Agility, Big Data in Organizations, and Business and Society. He also serves as examiner for master’s theses.

Publications

Article in journal (Refereed)

Conference paper (Refereed)

Chapter in book (Refereed)

Article, review/survey (Refereed)

Conference paper (Other academic)

Doctoral thesis, comprehensive summary (Other academic)