Dr.-Ing. Malamati D. Louta is Associate Professor and Director of Telecommunication Networks and Advanced Services Laboratory of the Department of Electrical and Computer Engineering, School of Engineering, University of Western Macedonia, Greece. She is co-founder of OMEGA INNOVATIONS PC, a spin-off SME of University of Western Macedonia. Her research interests include telecommunication networks and advanced services engineering. She is the author of over 100 peer-reviewed publications in the above areas. She serves as associate editor (IEEE Communications Magazine, International Journal of Communication Systems -IJCS, Security and Privacy Journal- SPY, Transactions on Emerging Telecommunication Technologies- ETT, WILEY), general chair, technical program committee chair and member, session organizer and a reviewer for a number of international conferences and journals. She serves as a series editor of Data Science and Artificial Intelligence for Communications Series of IEEE Communications Magazine (2020-onwards). She has contributed to several national and international research and development programs as a researcher, task leader, workpackage leader, principal investigator and coordinator. She is currently participating at 6 research & development programs as a principal investigator and/or coordinator. She has been a Senior Member of IEEE since 2014, member of the ACM and the Technical Chamber of Greece.
Human-centric NG-IoT: challenges and potential solutions
Human Centric based Next Generation Internet of Things (HC based NG-IoT) paradigm exploits the power and the wisdom of the crowd, as stemming from human mobility and intelligence, for the benefit of the crowd. Humans are empowered to contribute data, allowing for cost- and time-efficient monitoring of different large-scale phenomena, while advanced AI mechanisms are expected to enable accurate knowledge extraction and provision of new insights from the vast amount of data generated, albeit in an interpretable and explainable way. In order for Human Centric based NG-IoT systems to reach their full potential, bringing humans to the foreground in a trustable and sustainable way, a number of research challenges should be efficiently addressed. Without being exhaustive, data integrity and quality in conjunction with privacy concerns and security aspects, transparency, interpretability enhancing human trustability to the proposed approaches as well as incentives provisioning, promoting humans contribution / involvement to the data collection, analysis, action, evaluation loop, constitute some of the core issues that should be solved for realizing HC-based NG-IoT systems. Different constituent elements of a trust-aware NG-IoT system will be discussed, aiming to lay the foundations for new intelligent services and environments.
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