Stevan Rudinac

Dr. Stevan Rudinac is a Researcher at the University of Amsterdam's Faculty of Economics and Business, Section Business Analytics. His work focuses on interactive learning systems and multimodal data analysis, particularly in urban contexts and multimedia modeling.

• Education: PhD in Multimedia and Information Retrieval from Delft University of Technology (2013).

Research Interests: Stevan specializes in multimedia modeling, hypergraph learning, and interactive video search. He develops frameworks for scalable analysis of social networks, urban imagery, and large multimodal datasets, bridging machine learning with practical applications in city planning and financial social media.

Recent Trends: His 2024-2025 publications highlight large language model optimization, diffusion model evaluation, and dynamic graph embedding for meme stocks. Collaborative projects include the CASTLE 2024 dataset and Exquisitor, a system for 100 million image exploration.

Labs & Teams: He contributes to the Business Analytics group at UvA, collaborating with Prof. Marcel Worring and Dr. Björn Þór Jónsson. He co-organized the UrbanMM'21 workshop and participates in ACM Multimedia and MMM conferences.