/* Apologies for Multiple Copies */

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CALL FOR PAPERS

The Elsevier Journal of Future Generation Computer Systems (Impact Factor: 2.8)

Special Issue on
Internet-of-Things and Big Data for Smarter Healthcare: From Device to 
Architecture, Applications and 
Analytics<http://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/special-issue-on-internet-of-things-and-big-data-for-smarter/>

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The interaction between technology and healthcare has a long history. However, 
the rapid growth of Internet of Things (IoT) and Big Data, as well as the 
public embracement of miniature wearable biosensors have generated new 
opportunities for personalized eHealth and mHealth services. The advantages of 
these services include the availability and accessibility, ability to 
personalize and tailor content, and cost-effective delivery. Still, many 
challenges need to be addressed in order to develop consistent, suitable, safe, 
flexible and power-efficient systems fit for medical needs. To enable this 
transformation, it requires a large number of significant technological 
advancements in the hardware and software communities to come together. This 
special issue addresses all important aspects of novel IoT technologies for 
smart healthcare-wearable sensors, body area sensors, advanced pervasive 
healthcare systems, and Big Data analytics that are aimed at providing 
tele-health interventions to individuals for healthier lifestyles. Authors are 
invited to submit high quality papers containing original work from either 
academia or industry reporting novel advances in (but not limited to) the 
following topics:

TOPICS (non-exclusive)
* Internet of things for medical and healthcare applications
* Novel devices and circuits, and architectural support for healthcare-aware IoT
* Nano-CMOS and Post-CMOS based sensors, circuits, and controller
* Wearable and implantable computing and biosensors
* Cloud-enabled body sensor networks
* Secure middleware for eHealth and IoT
* Energy-efficient PHY/MAC and networking protocols for eHealth applications
* Reprogrammable and reconfigurable embedded systems for eHealth
* eHealth traffic characterization
* eHealth oriented software architectures (Agent, SOA, Middleware, etc.)
* Big-data analytics, machine learning algorithms and 
scalable/parallel/distributed algorithms
* Theory and practice of engineering semantic e-health systems, especially 
methods, means and best cases
* Fog computing/Edge clouds for health care cloud resource allocation and 
monitoring
* Privacy preserving and Security approaches for large scale analytics
* Fault tolerance, reliability and scalability
* Case studies of smart eHealth architectures (telemedicine applications, 
health management applications, etc.)
* Autonomic analysis, monitoring and situation alertness

Guest Editors:
* Farshad Firouzi, KU Leuven, Belgium 
([email protected]<mailto:[email protected]>)
* Philip Wong, Stanford University, USA 
([email protected]<mailto:[email protected]>)
* Amir M. Rahmani, University of Turku, Finland 
([email protected]<mailto:[email protected]>)
* Kunal Mankodiya, University of Rhode Island, USA 
([email protected]<mailto:[email protected]>)
* Geoff V. Merrett, University of Southampton, UK 
([email protected]<mailto:[email protected]>)
* Bahar Farahani, Pirouzan Group, Iran 
([email protected]<mailto:[email protected]>)
* Mustafa Badaroglu, Qualcomm, USA 
([email protected]<mailto:[email protected]>)

Important Dates:
Manuscript due: June 1st, 2016
Acceptance/rejection notification: September 15th, 2016
2nd round check: November 15th, 2016
Final manuscript due: December 15th, 2016

Submissions:
Submitted manuscripts will be reviewed according to the peer review policy of 
FGCS as available on-line at 
http://www.journals.elsevier.com/future-generation-computer-systems. Previously 
published conference papers should be clearly stated by the authors and an 
explanation should be provided how such papers have been extended to be 
considered for this special issue. Manuscripts should be formatted and be 
submitted online according to the instructions for FGCS at  
https://www.elsevier.com/journals/future-generation-computer-systems/0167-739X/guide-for-authors.
 As papers are uploaded, authors should make sure to select the correct special 
issue (select "SI: IoT for eHealth" when reaching the Article Type step).
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