基本信息
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Bio
Sotiris K. Tasoulis received the Diploma degree in mathematics and the M.Sc. degree in mathematics of computers and decision making from the University of Patras, Greece, in 2006 and 2009, respectively, and the Ph.D. degree from the Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece, in 2013. In 2013, he joined the Helsinki Institute for Information Technology (HIIT) and the Department of Computer Science, University of Helsinki, Finland, as a Postdoctoral Researcher in knowledge discovery in big data. In September 2015, he was assigned as a Lecturer (an Assistant Professor) with the Department of Applied Mathematics, Liverpool John Moores University, U.K. In 2017, he joined the Department of Computer Science and Biomedical Informatics, University of Thessaly, as a Senior Postdoctoral Researcher, where he was assigned as an Assistant Professor in June 2019. His research focuses on developing statistical approaches to cope with the central challenges associated with data analysis and big data, while his teaching concern courses on data mining and artificial intelligence. He has organized several workshops regarding advances in big data and has received several funding awards and scholarships. Finally, on many occasions, he has collaborated with the industry as a Consultant in machine learning applications.
Research Interests
Papers共 84 篇Author StatisticsCo-AuthorSimilar Experts
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International Conference on Engineering Applications of Neural Networkspp.369-378, (2024)
JOURNAL OF APPLIED STATISTICS (2024)
CoRR (2024)
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International Conference on Engineering Applications of Neural Networkspp.544-557, (2024)
CoRR (2023): 33-39
2023 IEEE International Conference on Big Data (BigData)pp.4567-4574, (2023)
JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONSno. 1 (2023)
Giorgos Skoufos,Panos Kakoulidis,Spyros Tastsoglou,Elissavet Zacharopoulou,Vasiliki Kotsira,Marios Miliotis, Galatea Mavromati,Dimitris Grigoriadis, Maria Zioga, Angeliki Velli, Ioanna Koutou,Dimitra Karagkouni,
NUCLEIC ACIDS RESEARCHno. D1 (2023): D304-D310
Studies in health technology and informatics (2023): 282-286
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