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个人简介
Jacek M. Czerniak, PhD, DSc - graduated from Szczecin University of Technology, Poland, with M.S.Eng. degree in Computer Science, in 2000. He received Ph.D. degree in Computer Science (2005, Faculty of Information Technology, Szczecin University of Technology) in 2020 – D.Sc. in Computer Science and Telecommunications at Institute of Systems Research, Polish Academy of Sciences in Warsaw. Associate Professor of Computer Science, Head of Department of Intelligent Systems at the Faculty of Computer Science, Kazimierz Wielki University in Bydgoszcz, Poland. Author of more than 70 scientific publications including a monograph and a script Specialist in the field of artificial intelligence. His scientific interests also include Business Intelligence, Big Data and software engineering and cryptology. He completed a research internship at the Data Mining Laboratory, Montana State University, USA. Prof. Czerniak is a founding director the AIRlab Artificial Intelligence and Robotics Laboratory. He is also founding Editor-in-Chief journal of Studies and Materials in Applied Computer Science. Prof. Czerniak has been awarded numerous times by the President of Casimir the Great University in Bydgoszcz.
He has worked at the Systems Research Institute of the Polish Academy of Sciences, Polish Naval Academy and several private universities. Since the beginning of his career, he has been cooperating with the industry, among others as a programmer in Lucent Technologies Poland sp. z o.o. and a data analyst in TelDat sp. z o.o. and data scientist in GGPredict sp. z o.o.
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论文共 68 篇作者统计合作学者相似作者
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ELECTRONICSno. 7 (2024): 1372
Bulletin of the Polish Academy of Sciences: Technical Sciencesno. 1 (2024)
BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCESno. 6 (2023)
Lecture notes in networks and systemspp.67-82, (2023)
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Lecture notes in networks and systemspp.335-342, (2023)
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Lecture notes in networks and systemspp.283-295, (2023)
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FedCSIS (Communication Papers)pp.91-96, (2023)
Lecture notes in networks and systemspp.49-66, (2023)
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UNCERTAINTY AND IMPRECISION IN DECISION MAKING AND DECISION SUPPORT: NEW ADVANCES, CHALLENGES, AND PERSPECTIVES (2022): 241-256
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