You Don't Know What You Don't Know

Emanuel is working on AI-stuff in Infobip with a current focus on Generative AI and analyzing the impact of Large Language Models. He joined Infobip after almost a decade working as the Operations Area Manager and Key Researcher at the Know-Center, one of Europe's leading research centers for trustworthy AI, and Graz University of Technology. He received his PhD (with distinction) in Computer Science from Graz University of Technology and his M.Sc. as well as B.Sc. in Software Engineering and Information Systems from the Faculty of Electrical Engineering and Computing at the University of Zagreb. He is a former Marshall Plan fellow and has been working as a visiting researcher at the Computer Science department of the University of California, Los Angeles (UCLA). He is the special issue editor of Frontiers in Big Data - Recommender Systems section, and his main research interests are in the Information Retrieval field of Recommender Systems and a specific focus on algorithmic accuracy, real-time performance, privacy, fairness and biases. His research on fairness in AI and bias in recommender systems was awarded with the Mind-the-gap gender and diversity award of Graz University of Technology in 2022.