This event is endorsed
and organized by

EAI International Conference on IoT and Big Data Technologies for HealthCare

June 15–16, 2016 | Budapest, Hungary

EAI International Conference on IoT and Big Data Technologies for HealthCare

IoTCare Conference

co-located with eHealth360° Summit

follow us on Twitter! #eHealth360


LAST DAYS TO SUBMIT YOUR CAMERA READY PAPER (May 16th) and to take advantage of the EARLY BIRD FEE (May 13)!!   






We are proud to announce that Prof. Tomohiro Kuroda, Kyoto University Hospital, Japan joined IoTCare as distinguished KEYNOTE speaker! 



The main scope of the conference is the convergence of IoT and Big data technologies for e-health, e-care, life-style, aging population, smart personal living, etc., applications.



  • Accepted papers will be submitted for publication in Springer's LNICST series and will appear in the SpringerLink, one of the largest digital libraries online that covers a variety of scientific disciplines, as well as in EU Digital Library (EUDL).

  • The proceedings are submitted for inclusion to the leading indexing services: DBLP, Google Scholar, Thomson Scientific ISI Proceedings, EI Elsevier Engineering Index, CrossRef, Scopus.

  • A special issue of ACM/Springer MONET will be allocated for selected papers of IoTCare Conference. Accepted authors are invited to Special Issue in EAI Endorsed Transactions on Pervasive Health and Technology

  • The event is endorsed by the European Alliance for Innovation, a leading community-based organization devoted to the advancement of innovation in the field of ICT.



Topics of interest include, but are not limited to:

-IoT and big data platform architecture

-IoT analytics and big data analytics

-Privacy preserving IoT data mining

-IoT and big data integrity and confidentiality

-Data and knowledge as a services

-Security and privacy applications

-Real-time and stream processing techniques and algorithms

-Batch processing engine and techniques

-Real-life case studies of value creation through advanced data analytic

-Proactive/predictive and advanced machine learning model

-Simplified and distributed data processing techniques

-Ubiquitous machine learning

-Smart home and independent living

-Fog and Egde computing of healthcare data

-Healthcare data warehouse