Research Interests
Allan’s current research interests are in information systems engineering, visual computing and human-centered technology.
Bio
Further, Allan Hanbury is head of the Data Science Research Unit, and Faculty Representative (responsible for financial affairs and internationalisation) at the Faculty of Informatics, TU Wien, Austria. He is also faculty member of the Complexity Science Hub Vienna.
He was scientific coordinator of the EU-funded Khresmoi Project on medical and health information search and analysis, and is co-founder of contextflow, the spin-off company commercialising the radiology image search technology developed in the Khresmoi project. Allan Hanbury is coordinator of DoSSIER, a Marie Curie Innovative Training Network, educating 15 doctoral students on domain-specific systems for information extraction and retrieval. He also coordinated the EU-funded VISCERAL project on evaluation of algorithms on big data, and the EU-funded KConnect project on technology for analysing medical text.
Allan Hanbury received following awards, among others: SIGMM Test of Time Paper Award winner in the category “Multimedia Analysis, Retrieval, Query” and also as the overall winner in 2022 for Affective Image Classification using Features Inspired by Psychology and Art Theory (with J. Machajdik), Best Systems Short Paper at the 41st European Conference on Information Retrieval, 2019 for Enriching Word Embeddings for Patent Retrieval with Global Context (with S. Hofstätter, N. Rekabsaz, M. Lupu, and C. Eickhoff), and Best Poster Award at the 32nd ACM SIGAPP Symposium On Applied Computing, 2017 for Finding duplicate images in biology papers (with M. Zlabinger).
He is author or co-author of over 180 publications in refereed journals and refereed international conferences. He contributes to research and innovation strategy development in Austria and Europe, and regularly gives talks on topics related to his research.