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Björn Eskofier is a leading researcher in the field of Artificial Intelligence and Biomedical Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg, where he heads the Machine Learning and Data Analytics Lab. His academic journey includes roles as a DFG-Heisenberg Professor and Assistant Professor, significantly contributing to the Digital Sports Group. Eskofier has an extensive background in machine learning, particularly in applications related to human performance analysis and classification software development, collaborating with notable institutions such as Harvard Medical School. His research interests encompass temporal trajectory-aware video quality measures and perceptually motivated video quality assessments, reflecting his expertise in mobile content quality experience and pattern recognition. Eskofier's academic foundation was built during his studies in Electrical Engineering at FAU, followed by a Ph.D. at the University of Calgary, where he was mentored by Dr. Benno Nigg. He has been actively involved in various projects and has published numerous papers in prestigious journals, establishing himself as a prominent figure in both academia and industry.
Friedrich-Alexander-Universität Erlangen-Nürnberg • Erlangen, Germany
Leading the Department of Artificial Intelligence and Biomedical Engineering.
Motion Analysis Lab, Harvard Medical School • Boston, USA
Contributed to research on motion analysis.
Friedrich-Alexander-Universität Erlangen-Nürnberg, Pattern Recognition Lab • Erlangen, Germany
Head of the Digital Sports Group focusing on sports analytics.
adidas AG • Germany
Developed classification software for sports applications.
University of Calgary, Human Performances Lab • Calgary, Canada
Conducted research in human performance analysis under the supervision of Dr. Benno Nigg.
Friedrich-Alexander-Universität Erlangen-Nürnberg, Digital Sports Group • Erlangen, Germany
Contributed to various research projects in the field of digital sports.
Department of Computer Science. Program involves a Qualification Assessment Process (QAP).