Professor, Frankfurt University of Applied Sciences, Germany
Professor Dr. Jörg Schäfer is a renowned academic and researcher in the field of Computer Science, currently serving at the Frankfurt University of Applied Sciences in Germany. With a distinguished background in mathematics and a dynamic career bridging academia and industry, Dr. Schäfer is celebrated for his expertise in object-oriented programming, distributed systems, databases, and machine learning. His innovative research in artificial intelligence and human activity recognition, paired with decades of experience in technology strategy and complex system architecture, have made him a leading figure in both academic and professional circles.
Publication Profile
🎓 Education Background:
Dr. Schäfer completed his Ph.D. in Mathematics with summa cum laude at Ruhr-Universität Bochum (1991–1993) under the supervision of Prof. Dr. Sergio Albeverio. His doctoral work was part of the elite DFG graduate program “Geometrie und Mathematische Physik” and included an academic travel scholarship to Japan. Before his Ph.D., he earned a diploma in Mathematical Physics with distinction from Ruhr-Universität Bochum (1987–1991), laying the groundwork for his future interdisciplinary research.
💼 Professional Experience:
Dr. Schäfer’s professional career blends deep academic involvement with high-impact industry roles. Since 2009, he has been a professor at Frankfurt University of Applied Sciences, teaching subjects such as object-oriented programming, distributed systems, and machine learning. He is the founding member of the Industrial Data Science (INDAS) research group and serves as Chairman of the B.Sc. Computer Science program. Prior to his academic tenure, Dr. Schäfer held senior positions at Accenture (2005–2009) and Cambridge Technology Partners (2000–2005), where he was responsible for large-scale architecture design, pre-sales, delivery, and enterprise integration strategies. His early career includes project management roles at Westdeutsche Landesbank and a trainee program at Salomon Brothers, as well as scientific assistant roles focused on stochastic analysis.
🏅 Awards and Honors:
Professor Schäfer has received several prestigious accolades throughout his career. Most notably, he was awarded the Hessischer Hochschulpreis in 2022 for excellence in teaching. During his academic formation, he was also a scholar of the Studienstiftung des deutschen Volkes (1987–1991), reflecting his outstanding academic promise from an early stage.
🔬 Research Focus:
Dr. Schäfer’s research is focused on artificial intelligence, machine learning, mobile and distributed systems, and human activity recognition. His work leverages WiFi channel state information (CSI) for device-free activity detection, contributing significantly to the field of pervasive computing. He also has a foundational background in mathematical physics, particularly in Chern–Simons theory and stochastic analysis, which informs his unique approach to computer science problems.
🧩 Conclusion:
With a remarkable blend of academic rigor and real-world application, Professor Dr. Jörg Schäfer stands out as a multifaceted scholar and technology leader. His research continues to shape the future of data science and AI-driven systems, while his dedication to teaching and mentorship inspires the next generation of computer scientists.
📚 Top Publications
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Computer-implemented method for ensuring the privacy of a user, computer program product, device
J Schäfer, D Toma
US Patent 8,406,988, 2013
Cited by: 237 articles
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Device free human activity and fall recognition using WiFi channel state information (CSI)
N Damodaran, E Haruni, M Kokhkharova, J Schäfer
CCF Transactions on Pervasive Computing and Interaction, 2020
Cited by: 109 articles
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Human activity recognition using CSI information with nexmon
J Schäfer, BR Barrsiwal, M Kokhkharova, H Adil, J Liebehenschel
Applied Sciences, 2021
Cited by: 75 articles
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Abelian Chern–Simons theory and linking numbers via oscillatory integrals
S Albeverio, J Schäfer
Journal of Mathematical Physics, 1995
Cited by: 53 articles
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A rigorous construction of Abelian Chern-Simons path integrals using white noise analysis
P Leukert, J Schäfer
Reviews in Mathematical Physics, 1996
Cited by: 43 articles
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Fall detection from electrocardiogram (ECG) signals and classification by deep transfer learning
FS Butt, L La Blunda, MF Wagner, J Schäfer, I Medina-Bulo, et al.
Information, 2021
Cited by: 40 articles
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Device free human activity recognition using WiFi channel state information
N Damodaran, J Schäfer
2019 IEEE SmartWorld Conference
Cited by: 37 articles
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Cloud computing – Evolution in der Technik, Revolution im Business
G Münzl, B Przywara, M Reti, J Schäfer, et al.
Berlin: BITKOM, 2009
Cited by: 37 articles