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Director of the Institute of Advanced Research in Artificial Intelligence. He is also the head of the Institute for Machine Learning and the LITAI Lab and a professor at the Johannes Kepler University of Linz, Austria.
Director of the Institute of Advanced Research in Artificial Intelligence. He is also a professor at Boku University Vienna, Austria. He runs a bioinformatics research group that focuses on analysing, calibrating, and bench-marking genome-scale quantitative assays.
Researcher at HERE Technologies and a director of the Institute of Advanced Research in Artificial Intelligence (IARAI). His background is in pure mathematics, mathematical modelling in finance and machine learning. Advancing and applying new strands of the latter to solving real world problems currently occupies his interest.
Researcher and engineer at HERE Technologies. His background is geo-spatial big data processing and analytics, geo-spatial search and transport optimization. As an engineer and researcher he is interested in the intersection between ML for geo-spatial problems and their application at scale.
Researcher and engineer at HERE Technologies. With a back-ground in GIS science and 3 years of working experience in the industry, his main interest lies in the intersection between big data technologies for handling large amounts of geospatial data and machine learning methods to analyze such data.
Henry Martin is a PhD Student in Geoinformatics at the Chair of Geoinformation Engineering at ETH Zurich and at the Institute of Advanced Research in Artificial Intelligence (IARAI). He was was part of the team that won the second place at the NeurIPS 2019 Traffic4cast competition. In his PhD he is interested in applying modern data analysis methods to spatio-temporal problems related to human mobility and investigating the role of mobility in our way towards a more sustainable energy system.
Researcher at HERE Technologies with a background in the geo-spatial and transportation domains. With his research interests lying mainly in the intersection of computational movement analytics and deep learning, he has extensive scientific experience in the field of knowledge extraction from large trajectory datasets.
Professor in machine learning at the Silesian University of Technology, Gliwice, Poland. Her research focuses on predictive models and the integrated analysis of large-scale heterogeneous patient proles. In addition she researches statics for challenging data sets (strong correlation structures, high dimensionality, . . . )
Researcher and machine learning consultant at SEAT, S.A., specializing in modelling for future mobility. He is a pre-doctoral Associate Research Fellow at IARAI, and studying at the Polytechnic University of Catalonia in Barcelona. His research focuses on rule detection and generalization in deep learning applied to geo-spatial data. He also has worked on the objective description of individual lifestyle patterns in egocentric images and their explainability.
Senior Full Stack Developer specialised in WordPress coding, responsible for IARAI web platform development.