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个人简介
Frederic Stahl received the Dipl.-Ing. (FH) degree in bioinformatics from the University of Applied Science, Weihenstephan, Germany, in 2006, and the Ph.D. degree in computer science from the University of Portsmouth, U.K., in 2010.
From 2010 to 2012, he was a Senior Research Associate at the Department of Computer Science, University of Portsmouth. In 2012, he worked as a Lecturer at the Department of Design Engineering and Computing, Bournemouth University, U.K. From 2012 to 2019, he was a Lecturer and an Associate Professor at the University of Reading, U.K. Since 2019, he has been the Deputy Head, a Team Leader, and a Senior Researcher for Subject Area Marine Perception at the German Research Centre for Artificial Intelligence (DFKI GmbH). He has published over 60 articles in peer-reviewed conferences, journals, and book chapters. He has been working in the field of data mining for more than ten years focusing on the research domain of big data analytics. His particular research interests are lie in (i) developing scalable algorithms for building adaptive models for real-time streaming data; (ii) developing scalable parallel data mining algorithms and workflows; and (iii) applications in big data analytics.
Dr. Stahl is a member of the British Computer Society (BCS) and has been elected three times as a Committee Member of the BCS’s Specialist Group on Artificial Intelligence (SGAI), servicing on the committee, since 2013.
研究兴趣
论文共 94 篇作者统计合作学者相似作者
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European Conference on Modelling and Simulationpp.381-386, (2024)
2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)pp.779-786, (2024)
ARTIFICIAL INTELLIGENCE XL, AI 2023 (2023): 3-15
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)pp.01-06, (2023)
Daniel Lukats,Frederic Stahl
ARTIFICIAL INTELLIGENCE XL, AI 2023 (2023): 204-209
Iring Paulenz, Daniel Lukats,Janina Schneider, Elmar Berghöfer,Frederic Theodor Stahl,Lars Nolle,Oliver Zielinski
Umweltinformationssysteme – Vielfalt, Offenheit, Komplexitätpp.149-165, (2022)
Zenodo (CERN European Organization for Nuclear Research) (2022)
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)pp.513-517, (2022)
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作者统计
#Papers: 94
#Citation: 1214
H-Index: 23
G-Index: 32
Sociability: 4
Diversity: 2
Activity: 16
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