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Elpiniki Papageorgiou |
Contact information University of Thessaly, Dept. of Energy Systems, email: |
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Field of expertise: Expert Systems, Fuzzy Cognitive Maps and Knowledge Representation (Artificial Intelligence) Short CV: Dr. ELPINIKI I. PAPAGEORGIOU is a Professor in the Department of Energy Systems at the University of Thessaly (Gaiopolis Campus, Larissa), with a specialization in "Expert Systems, Fuzzy Cognitive Maps and Knowledge Representation." She holds a Ph.D. in Electrical and Computer Engineering from the University of Patras (2004), as well as an M.Sc. in Medical Physics (2000) and a B.Sc. in Physics (1997), from the same university. Her research interests lie in the fields of Artificial Intelligence, Machine Learning and Deep Learning, Explainable AI (XAI), Fuzzy Cognitive Maps (FCMs), Expert Systems, Knowledge-Based Systems, Intelligent Decision Support Systems, Data Mining and Knowledge Discovery. She is the Director of the Artificial Intelligence, Computational Systems and Technological Applications Laboratory (ACTA Lab) at the Department of Energy Systems. With over 23 years of research experience, she has actively participated in 29 R&D projects (Horizon 2020, FP7, HFRI, GSRT, etc.), focusing on the development of innovative AI models, intelligent systems, and advanced learning algorithms, with emphasis on Fuzzy Cognitive Maps and explainable AI (XAI). She has been a collaborating faculty member of the Centre for Research and Technology Hellas (CERTH) for the past eight years, serving as Project Manager and/or Scientific/Technical Coordinator in numerous European Horizon 2020 projects, including ENCIRCLE (2025), KYKLOS 4.0, NAIADES, BACCHUS, OACTIVE, PROCETS, and ISS-EWATUS. She also coordinated the Z-FACT0R H2020 project (2018–2021) on behalf of CERTH. At the University of Thessaly, she served as Scientific Coordinator of the H2020 project OPTIMAI (2021–2024), which focuses on AI applications in smart industry. She is currently the Scientific Coordinator of the national project EMERALD (emerald.uth.gr), funded by the Hellenic Foundation for Research and Innovation (HFRI), selected 6th out of 56 funded proposals in the field of Life Sciences. The project addresses explainable AI models for knowledge and data management in Nuclear Medicine. International Recognition and Distinctions: For five consecutive years (2020–2024), she has been ranked among the world’s top 2% most influential scientists in the field of Artificial Intelligence, according to the Stanford University study by Prof. John Ioannidis (Updated science-wide author databases of standardized citation indicators). Specifically, in her core field, Artificial Intelligence, she is ranked in the top 1% globally. She also ranks first among all faculty members across departments and schools at the University of Thessaly (DOI: 10.17632/btchxktzyw.7). In addition, she has been listed among the top Computer Science researchers by Guide2Research(https://www.guide2research.com/scientists/GR). She is internationally recognized as the leading researcher in the area of Fuzzy Cognitive Maps based on publications and h-index, according to Microsoft Academic Search (as of 14/08/2021). Her contributions have significantly advanced the application of FCMs in diverse scientific domains. Awards and Innovation Activities
Research and Publication Output She has published more than 300 scientific papers in peer-reviewed journals, international conferences, and book chapters, with an h-index of 60 and over 13,400 citations (Google Scholar). She is the author of the book "Fuzzy Cognitive Maps for Applied Sciences and Engineering – From Fundamentals to Extensions and Learning Algorithms," Springer, 2014. Dr. Elpiniki Papageorgiou organized for first time worldwide the First Summer School for Fuzzy Cognitive Maps in July 2016 at Volos, Greece. Furthermore, she organized a number of Special Sessions on Fuzzy Cognitive maps entitled as “Methods and Applications of Fuzzy Cognitive Maps” in FUZZ-IEEE conferences 2011, 2012, 2013, WCCI2014 (IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014), FUZZ-IEEE2015, WCCI2016 and FUZZ-IEEE2017, and she was Chair in 6 of them. She is IEEE Senior Member, an active member of IEEE in Women in Computational Intelligence, and in IEEE CIS. Her research interests include intelligent systems, expert systems, fuzzy cognitive maps, knowledge representation, soft computing methods, decision support systems, cognitive systems, prediction, medical decision making, data mining and machine learning. She has also held key academic leadership positions, including serving as Head of the Department of Energy Systems at the University of Thessaly (2021–2022), Director of the MSc Program in “Energy Technologies and Automation Systems” (2019–2023), and Coordinator of the Undergraduate Program in Electrical Engineering (2019–2020). |
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