Intelligent Technologies for Healthcare Business Applications

Dr. Athina Bourdena received her Doctoral degree from the Department of Information & Communication Systems Engineering of the University of the Aegean in 2013. She acts as a research associate at the Department of Business Administration & Tourism of Hellenic Mediterranean University (HMU) and as a member of the Research and Development of Telecommunications Systems laboratory. Her research interests are in the fields of network resource optimisation techniques and their exploitation over cognitive radio systems, intelligent technologies, dynamic spectrum access technologies and transport mechanisms. She has more than 50 publications in international journals, conference and workshop proceedings, in the above areas.

Dr. Constandinos X. Mavromoustakis is currently a Professor at the Department of Computer Science at the University of Nicosia, Cyprus. He received a five-year dipl.Eng in Electronic and Computer Engineering from Technical University of Crete, Greece, MSc in Telecommunications from University College of London, UK, and his Ph.D. from the department of Informatics at Aristotle University of Thessaloniki, Greece. Dr. Mavromoustakis is leading the Mobile Systems Lab. (MOSys Lab) at the Department of Computer Science at the University of Nicosia, dealing with design and implementation of hybrid wireless testbed environments, high performance cloud and mobile cloud computing (MCC) systems, IoT/IoE, modeling and simulation of mobile computing environments and protocol development and deployment for large-scale heterogeneous networks as well as new 'green' mobility-based protocols. He has worked as a Research Associate and Postdoctoral Researcher at the Computer Architecture and Communications Lab at the PDSG (Parallel and Distributed Systems Group) at the Department of Informatics, Aristotle University of Thessaloniki, Greece. He has also worked as a Visiting faculty/Special Expert Scientist (2009-2010) at the Cyprus University of Technology at the Department of Electrical Engineering and Information Technologies (EEIT) and he has been appointed for a semester as a visiting Assistant Professor (2011) at the Coventry University, at the Faculty of Engineering, at the Department of Computing and the Digital Environment, UK. He has authored/edited four Books to-date, whereas he is a management member of IEEE Communications Society (ComSoc) Radio Communications Committee (RCC) and served as track Chair and co-Chair of various IEEE International Conferences (including AINA, IWCMC, IEEE Internet of Things etc). He is the recipient of various grants including the highly competitive European grant of Early Stage Researcher (ESR), for the excellent research output and research impact, in December 2013 (EU secretariat/Brussels).

Dr. Evangelos Markakis holds a PhD in P2P Constellations in Broadcast Networks from the Department of Information & Communication Systems Engineering of the University of the Aegean and serves as an Assistant Professor in the Department of Electrical and Computer Engineering at the Hellenic Mediterranean University, Greece. He has actively participated in more than 40 EU FP5/FP6/FP7/Horizon2020, Horizon Europe funded projects (IST/ICT/Health/ Security) and over 20 Greek funded research and Development projects. Evangelos is the Technical Manager for the Horizon Europe TRUSTEE Project and in the past, he was the Technical Manager for the HORIZON 2020 DRS-19-2014 "EMYNOS". He has worked Numerous times as WP Leader in European funded projects. His research activities include Cybersecurity, Wireless Networks, distributed systems and P2P applications, design of large-scale Heterogeneous Networks, Fog Computing & Networking, as well as in network management and virtualisation techniques, including SDN/NFV concepts. He has more than 90 publications in international journals, conference, and workshop proceedings, in the above areas. He is a Member in EENA a Member of IEEE and IEE

Introduction.- Introduction of AI and healthcare.- Architectures and intelligent systems for AI and healthcare convergence.- IoT with Machine Learning and Artificial System technologies.- AI and 6G mobile systems.- AI enabled healthcare systems.- Performance Evaluation of Deep Learning and IoT-related mechanisms.- Conclusion.