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Kalliopi Kravari

Lecturer, Postdoctoral Researcher, Member of Intelligent Systems Lab of the School of Informatics

Dr. Kalliopi Kravari is an adjunct lecturer at the International Hellenic University (IHU) in Intelligent Systems. At the same time, she is a postdoctoral researcher at the Aristotle University of Thessaloniki (AUTH), where she is a member of the Intelligent Systems Lab of the School of Informatics, and collaborating teaching staff at the Open Hellenic University, Greece. She holds a Postdoc (NSF Grants) and a Ph.D. degree in Artificial Intelligence from the Aristotle University of Thessaloniki, School of Informatics (2015). She received a BSc (2007) and an MSc (2009) degree in informatics and an MSc in Theology (2016) from the AUTH. She also attended the Pedagogical Training Program (EPPAIK) of the School of Pedagogical and Technological Education, Greece (2016). She is member of HAIS (Hellenic Artificial Intelligence Society), Hellenic Committee of the Blue Shield and UNESCO Chair on Conservation and Ecotourism of Riparian and Deltaic Ecosystems, IHU while she is deputy director of ’’Analysis and Management of Natural Disasters and Technological Risks’’ (ASSIST) Lab, IHU. She is also the CEO of RESHUB LTD, a company oriented to AI R&D and project management. She participated in more than 25 research and administrative programs while managing several of them. She has published 12 journal papers, 2 book chapter and 30 conference papers, receiving over 400 citations (h-index 7). She also received two best paper awards, an honor award as well as two excellence AUTH awards. She is reviewer in journals and conferences, she participates in conference committees while she is a invited speaker at academic festivals. Her research interests include among others Artificial Intelligence, Internet of Things and Intelligent Agents, Intelligent information systems and Semantic Web. More specifically, she is interested in Negotiations and Intelligent Multi-Agent Systems issues, including among others Trust Management, IAs in the IoT, Knowledge Representation and Reasoning, Logic, Rule-based and Object-oriented programming, Ontologies and Rules.