ESMAC ACADEMY – MACHINE LEARNING WEBINAR
Exploring Machine Learning: Insights from Prof. Bjoern Eskofier and Djordje Slijepčević
Join us for an exploration of the cutting-edge world of Machine Learning with Professor Bjoern Eskofier and Djordje Slijepčević. Explore how AI is transforming healthcare, movement analytics, and more. Don’t miss this opportunity to dive deep into the future of ML with experts in the field. The webinar is scheduled for the 6th of May from 4:30-5:30pm CET and is free for ESMAC members.
Prof. Bjoern Eskofier, PhD
Machine Learning and Data Analytics (MaD) Lab
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Bjoern M. Eskofier (SM, IEEE) heads the Machine Learning and Data Analytics (MaD) Lab at the Friedrich-Alexander-University Erlangen-Nuernberg (FAU). He is also the founding spokesperson of FAU’s Department Artificial Intelligence in Biomedical Engineering (AIBE), spokesperson of the German Ministry of Economic Affairs and Climate Action GAIA-X usecase project “TEAM-X” and co-director of the German Research Foundation collaborative research center “EmpkinS” (www.empkins.de). Since April 2023, he is an associate principal investigator and leader of the research group “Translational Digital Health” at the Helmholtz Zentrum Munich.
Dr. Eskofier studied Electrical Engineering at the FAU and graduated in 2006. He then did his PhD in Biomechanics under the supervision of Prof. Dr. Benno Nigg at the University of Calgary (Canada). He authored more than 400 peer reviewed articles, holds 5 patents, started three spinoff startup companies, and is in a supporting role for further startups. He won several medical-technical research awards, including the “Curious Minds” award 2021 in “Life Sciences” by Manager Magazin and Merck and the “Unipreneurs” award 2023 from the German Minster of Education and Research and the German Minister for Economy. In 2016, he was a visiting professor in Prof. Paolo Bonato’s Motion Analysis Lab at Harvard Medical School (February-March), in 2018, he was a visiting professor in Prof. Alex “Sandy” Pentland’s Human Dynamics group at MIT Media Lab (March-August), and in 2023 (April-August, he was a visiting professor in Prof. Scott Delp’s NMBL lab that is part of Stanford University’s Schools of Engineering and Medicine.
Dipl.-Ing. Djordje Slijepčević
Institute for Creative Media Technologies (ICMT)
St. Pölten University of Applied Science, Austria
Djordje Slijepčević is a researcher at the Institute for Creative Media Technologies (ICMT) at St. Pölten University of Applied Science (Austria). At present, he is completing his doctoral studies in Technical Sciences at TU Wien (Austria), with a focus on the development of machine learning approaches in the field of human gait analysis. His ongoing research primarily centers on automated classification of gait patterns, gait recognition, event detection in gait, and similarity retrieval of gait patterns. With a strong emphasis on developing explainable AI, he aims to bridge the gap between cutting-edge machine learning methods and practical applicability in clinical settings, by ensuring that the developed methodologies are interpretable and transparent to clinical experts.