Vasiliki Vrana is a Professor at the Department of Business Administration, International Hellenic University and Vice-Rector for Personnel, Students Welfare and Life-Long education. She has also been adjunct academic staff at the at the Hellenic Open University and Open University of Cyprus and an Education Consultant at the secondary education for three years. She has participation in many funded national and international research projects and has a long record of leadership in the University. Currently she is the director of M.B.A. in Hospitality and Tourism, International Hellenic University. She holds a BSc in Mathematics, a MSc on information systems from the Hellenic Open University and PhD in Computer Science from the Aristotle University of Thessaloniki Her research interests include Information and Communication Technologies in tourism and hospitality, education assessment and Web 2.0 applications in tourism, health and politics. She is a widely published, two books and more than 150 papers in academic journals, chapters in edited books and in international conferences. Her research interests include Information and Communication Technologies in tourism and hospitality, education assessment and Web 2.0 applications in tourism, health and politics.
(https://scholar.google.com/citations?user=mpNBQIMAAAAJ&hl=en).
Vassilis G. Kaburlasos has received the Diploma degree from the National Technical University of Athens, Greece, in 1986, and the M.Sc. and Ph.D. degrees from the University of Nevada, Reno, NV, USA, in 1989 and 1992, respectively, all in electrical engineering. He currently serves as a Tenured Full Professor in the Department of Informatics, Computer and Telecommunication Engineering (at Serres) of the International Hellenic University (IHU), Greece. During 2019-2024 he served as an elected member of IHU’s Research Committee. He has been the founder and director during 2016-2023 of the HUman-MAchines INteraction (HUMAIN) research Lab (http://humain-lab.cs.ihu.gr/?lang=en) at the Department of Computer Science of IHU in Kavala having accessed projects of total budget over 5M EUR. He has been participant or (principal) investigator in 32 research projects, funded either publicly or privately, in the USA and in the European Union. He has been a member of the technical/advisory committee or an invited speaker in numerous international conferences and a reviewer of more than 50 indexed (WoS) journals. He has (co)authored more than 230 scientific research articles in indexed journals, refereed conferences, edited volumes and books. He is the co-owner of 2 patents in Greece and another 3 in Europe. His research interests include modeling of cyber-physical systems, including intelligent robots, with breakthrough contributions in the “Lattice Computing (LC) information processing paradigm” toward computing with semantics. Dr. Kaburlasos is a member of several professional, scientific, and honor societies around the world including the Sigma Xi, Phi Kappa Phi, Tau Beta Pi, Eta Kappa Nu, and the Technical Chamber of Greece. Since 2019, his name is included in the top 2% of “career long” researchers worldwide in the field “Artificial Intelligence & Image Processing” according to Mendeley Data, http://doi.org/10.17632/btchxktzyw.2 /3 /4 /6 .\
Dr Constantinos Hilas is Professor of Security and Computer Networks in the International Hellenic University (IHU). Has an BSc in Physics (AUTh), MSc in Electronic Physics (Radioelectrology) and MSc in Information Systems. His basic research interests entail the study of network security issues, user characterization, user privacy and data mining techniques in telecommunications. Has more than 30 years working experience and is the author or co-author of several research papers, conference announcements and technical reports (Google Scholar)
Associate Professor at Department of Computer, Informatics and Telecommunications Engineering, International Hellenic University and Director of IHU’s Lifelong Learning Center. Expertise in databases, data mining, pattern recognition, statistical analysis tools, e-learning systems, and security in telecommunications.He holds two PhDs, one in Data Mining (Aristotle University, 2012) and another in Theoretical Chemistry (University of Ioannina, 1997), and a B.Sc. in Physics (1987). His research expertise lies in data mining of time series, feature selection, machine learning, and neuroscience applications, with contributions in EEG analysis, video data mining, and big data analytics. He has coordinated or participated in over 15 funded national and EU research projects (Erasmus+, SEA, EPANEK). Has supervised over 100 theses, and authored over 100 scientific publications. He is active in academic administration and software development.
Dr. Konstantinos Diamantaras received his Diploma in Electrical Engineering from the National Technical University of Athens (NTUA) and his Ph.D. from the Department of Electrical Engineering at Princeton University, USA, in 1992. He subsequently worked as a postdoctoral researcher at Siemens Corporate Research in Princeton, USA, as well as at the Department of Electrical and Computer Engineering of Aristotle University of Thessaloniki (AUTH). Since 1998, he has been a faculty member of the Department of Informatics at the Technological Educational Institute (TEI) of Thessaloniki, where he has held the position of Full Professor since 2006. His research interests include machine learning, signal processing, parallel processing, and image and video processing. Dr. Diamantaras is a Senior Member of IEEE. He served as Chair of the IEEE Signal Processing Society Machine Learning for Signal Processing Technical Committee (MLSP-TC) during 2009–2010 and has been a member of the committee from 2005 to the present. He also served as a member of the IEEE Signal Processing Theory and Methods (SPTM) Technical Committee from 2005 to 2008. He is co-author of the book Principal Component Neural Networks: Theory and Applications, published by John Wiley in 1996, and has also published two additional books in Greek on Neural Networks and Parallel Processing. He currently serves as Associate Editor for the international scientific journals IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, and Journal of Signal Processing Systems (Springer). In the past, he also served as Associate Editor for IEEE Transactions on Neural Networks. In 1997, he received the IEEE Best Paper Award in the field of Neural Networks and Signal Processing. He has also served as a technical committee member and conference chair for various conferences in the fields of Signal and Image Processing, Machine Learning, and Neural Networks.