Stevan Rudinac

Stevan Rudinac is an Associate Professor of Artificial Intelligence for Business at the University of Amsterdam Business School, which is part of the Faculty of Economics and Business. He also serves as a guest researcher at the Informatics Institute of the University of Amsterdam. His academic career focuses on advancing multimedia analytics with applications to societal challenges.

Rudinac's primary research interests include multimedia analytics, computer vision, information retrieval, machine learning, and artificial intelligence with specific applications in urban computing. His work aims at enabling large-scale multimedia analytics based on higher semantic level relevance criteria by jointly analyzing visual content with heterogeneous associated information including text, metadata, and social network data. What particularly fascinates him is the potential of artificial intelligence in addressing important societal challenges, such as liveability and security.

His recent publication trends (2020-2025) demonstrate a strong focus on interactive multimedia systems, particularly the Exquisitor framework for interactive learning and search, hypergraph learning techniques, urban computing applications, and the integration of large language models with multimedia systems. His work spans both theoretical advancements in multimodal learning and practical applications addressing real-world challenges.

Rudinac has been actively involved in academic service, particularly in organizing workshops and conferences in the Multimedia Modeling (MMM) series, and has contributed to advancing the field through his editorial work on special issues focused on content-based multimedia indexing.

He currently advises multiple PhD students working on diverse topics including art market analysis, marketing applications of AI, urban computing, and multimedia forensics, demonstrating the breadth of his research impact across different domains.