IEEE International Conference on E-health Networking, Application & Services
17-20 September 2018 // Ostrava, Czech Republic

Keynote speakers

professor Mounir Mokhtari

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Dr. Mounir Mokhtari, Professor at Institut MINES TELECOM in France, Director of IPAL-CNRS (UMI 2955) French-Singaporean joint lab in Singapore, and Research Associate at CNRS LIRMM Montpellier, France; received a PhD in Computer Science in the field of Human-Machine interaction in 1997 and a Research Habilitation in 2002 both from the University Pierre & Marie Curie in Paris. Mounir Mokhtari’s background is mainly in human-machine interaction in the domain of Ambient Assistive Living and semantic reasoning. Prof. Mokhtari, who has conducted several European and national projects, has supervised 13 Ph.Ds in this topic, direct supervision, where 10 have been successfully completed. He has over 200 publications in journals, books and conferences. Prof. Mounir Mokhtari was holding the Chair Quality of Life on Aging people 2011-2016, which was funded by a major health insurance companies in France Mutuelle Generale and AG2R - La Mondiale. Mounir Mokhtari is Principal Investigator in 2 European projects City4Age and PULSE under HORIZON 2020 Programme and is coordinating an industrial contract with PSA Peugeot-Citroen on smart mobility and wellbeing. Mounir Mokhtari is the founder of ICOST conference (International Conference On Smart homes and health Telematics), annual event moving regularly between Europe, Asia and North America. ICOST’2018 will be chaired by Mounir Mokhtari and hosted in Singapore, and will be co-located with World Cities Summit. Mounir Mokhtari received Palmes Academiques recognition from French Minister of Education and Research in 2015 “Chevalier des Palmes Académiques”.

Smart living based IoT and semantic reasoning for aging with mild dementia

Internet of thing (IoT) devices have radically transformed the daily lives of modern man ranging from monitoring one’s health and wellness to creating a “smart” living environment for optimal quality of life. We are interested in studying data generated from large number of IoT devices and using IoT readouts to accurately recapitulate the daily lives of man dwelling in an urban environment. Such information is extremely helpful in streamlining day to day processes and most importantly, to help reveal the patterns of human behavior for the design of a better environment for the population to dwell in. However, one of the key question in investigation is, how can we better define the type and architecture of IoTs required? Which are the unmet needs? It is thus of interest of research to define such IoT architecture, and corresponding user modeling, for better data analytics which is integral in enhancing the way we study human mobility. Our ambition is to design a real time service provisioning system for Ambient Assited Living focusing particularly on aging people with mild dementia.