Salzburg Research
Stefan Kranzinger is a researcher and data scientist with extensive experience in data science, machine learning, and economics. Currently serving at Salzburg Research since February 2019, Stefan specializes in methods such as Random Forests, AdaBoost, and Neural Networks, focusing on classification, prediction, and data visualization using human motion and traffic data. Additionally, Stefan has been a lecturer at WU (Wirtschaftsuniversität Wien) since December 2015, teaching courses on economic and financial policy, and has held various academic positions, including a lecturer role at Seeburg Castle University. With a robust educational background, including a PhD in Economics from WU and multiple degrees from Johannes Kepler Universität Linz, Stefan combines practical data analysis experience from roles at Wüstenrot Gruppe with academic rigor in empirical and econometric studies.
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Salzburg Research
People, products and machines are on the move and increasingly wirelessly connected. This enormous dynamic offers new opportunities for business and society. With Motion Data Intelligence we make the movement of things measurable, link them reliably, develop algorithms for meaningful analyses and thus increase added value and efficiency. As an independent research institute, Salzburg Research offers know-how and sustainable solutions for complex challenges in the Internet of Things. We are a think tank for innovative companies from a wide range of industries and the public sector – internationally oriented and committed to the region. Furthermore, Salzburg Research hosts competence centres in the domains of media and web technologies, tourism as well as transport and traffic management.