She holds a PhD degree in Informatics (Aristotle University), a MSc degree in Computer Science (Purdue University, USA) and a BSc in Mathematics (Aristotle University). Her current research interests include big data mining and analytics, AI algorithms for Next Generation Internet, smart cities data analytics, online social networks mining, as well as on online sources data management on the cloud. Her publication record of over 160 papers received over 8,050 citations (h-index 37 in Google scholar). She has served as a member in the EU Steering Committee for the Future Internet Assembly (2012-14) and she has participated in more than 30 research projects (EU H2020, FP7, Erasmus+, International and national funds) related to ICT, Next Generation Internet, Collective awareness and quality research funds (Marie-Curie). She has acted as the principal investigator in 15 research projects over the last 5 years, while she is currently involved in 9 research and innovation projects. She has co-chaired major Conferences Committees such as IEEE/ACM/WIC Web Intelligence 2019, EAI 2016 Conference on Future Internet Infrastructures, Enablers and EU Internet Science Conference 2015, ACM International Conference on Web Information Systems Engineering, etc.
Prior to that, he was a visiting lecturer with the University of Cyprus, and a researcher with the School of Computer Science of the University of Manchester, UK, and the Centre of Research and Technology Hellas CERTH. A. Gounaris received his Ph.D. from the University of Manchester (UK) in 2005. He was also awarded an MPhil in Computation in 2002 by UMIST (UK) and a BSc in Electrical and Computer Engineering in 1999 from the Aristotle University of Thessaloniki. His research interests are in the area of autonomic, adaptive and wide-area data management, massive parallelism, flow and query optimization, data mining and resource scheduling. He has served as a program committee member in several international conferences and workshops. He has more than 80 publications in international journals and conferences. He is a member of ACM and IEEE (senior). More details can be found at https://datalab.csd.auth.gr/~gounaris/.
He received his Ph.D. in Civil Engineering in 2005 from AUTH and he holds a MSc. in Information Systems since 2011 from Hellenic Open University. He has worked as a freelance engineer and as an IT professional for several years. He possesses skills at project management acquired by supervising various technology projects in academia and innovation research but also with strong experience in the private sector. He has supported dissemination, communication and exploitation planning, development and implementation of both commercial and research activities. He has served as the project manager of previous H2020 and national projects and he is also experienced in designing gamification frameworks where end users are encouraged to engage with commercial systems. He has participated in National and International conferences, published in scientific journals and worked as scientific and laboratory associate in the Technological Educational Institute of Central Macedonia.
He holds a PhD in Computer Science and Networks (2015, from EURECOM, France), and a Diploma in Electrical and Computer Engineering (2011, from the Aristotle University of Thessaloniki, Greece). His research interests include recommendation systems, data analytics, modelling experience, performance analysis and modelling, Internet measurements. He has participated in several European projects, and in organizing committees and technical program committees of ACM/IEEE conferences and workshops.
I.Dimitriadis received his PhD in 2022, working on the field of Graph Mining, Social Network Analysis and Machine Learning, He holds a BSc in Physics, (2012 – Dpt. of Physics, Aristotle University of Thessaloniki) and a MSc in Information Communication Technologies (2015 – International Hellenic University – IHU). His main research interests are focused in the area of Social Network Analysis, using hybrid graph and machine learning methodologies. He has participated in several EU Horizon 2020 and National funded projects during the past 7 years as a developer, researcher and team leader.
T. Toliopoulos received his PhD from Aristotle University of Thessaloniki in 2022 working on the field of big data management and more specifically on big data stream processing. He graduated from the Department of Informatics of the Aristotle University of Thessaloniki in 2013 (BSc) and 2018 (MSc). His main research interests are in the areas of outlier detection and continuous data stream analysis. He has participated as a research assistant in European and Greek projects. He has worked in the private sector for over 5 years as a developer and small team leader.
He holds degrees in Computer Science from the Hellenic Open University, Greece, as well as in Food Technology from the Technological Educational Institute of Thessaloniki, Greece, an MSc in Applied Informatics from the University of Macedonia, Greece and an MSc in Quality Assurance from the University of Reading, UK. His main research interests are in blockchain technologies and decentralized and distributed systems, data science and statistics. He also has extensive software engineering experience, particularly with operating systems development. He has participated as a researcher in several H2020 and Erasmus+ projects. He has published in books, scientific journals as well as international and national conference proceedings.