HCIS Springer (IF:1.967, Q2) - Call for papers: Thematic Issue on BIG
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Human-centric Computing and Information Sciences
(ISSN: 2192-1962, 2017 IF: 1.967)

Editor-in-Chief: James J. (Jong Hyuk) Park, SeoulTech, Korea

https://hcis-journal.springeropen.com/


** 2017 Journal Metrics**
-Citation Impact-
1.967 - 2-year Impact Factor
(http://jcr.incites.thomsonreuters.com/JCRJournalProfileAction.action?pg=JRNLPROF&journalImpactFactor=undefined&year=2017&journalTitle=undefined&edition=SCIE&journal=HUM-CENT%20COMPUT%20INFO)
2.653 - Source Normalized Impact per Paper (SNIP)
0.653 - SCImago Journal Rank (SJR)
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==Thematic Issue on Big data, IoT, and Cloud Computing for Human-centric Computing ==


Human-centric Computing and Information Sciences welcomes submissions to the thematic series on ' Big data, IoT, and Cloud computing (BIC) for Human-centric Computing'. This thematic series aims to publish high quality articles, which cover the various theories and practical application related with the BIC for human-centric computing.

For BIC-based enhanced human-centric computing infrastructures, diverse kinds of approaches such as artificial intelligence, security, signal processing, imaging processing, and etc. are developed and integrated. Therefore, articles that propose enhanced human-centric BIC approaches can be submitted. In particular, we expect articles that examine the challenges that arise in developing novel edge BIC applications and services. We also welcome high-quality review articles, which cover the analysis of the state of the art and the state of the practice in the BIC area.

All submitted papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the thematic series on ' Big data, IoT, and Cloud computing (BIC) for Human-centric Computing'.



Topics of interest include but are not limited to:
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-Big Data Algorithms, Models, Applications, and Services
-Big Data Processing and Programming Techniques
-Infrastructures and Systems for Big Data Analytics and Management
-Machine Learning based on Big Data
-Reliability and Availability in Big Data
-Security, Privacy, and Legal Issues for Big Data
-IoT and Block-chain
-IoT Interoperability and Multi-Platform Integration
-IoT systems collaboration and cooperation mechanisms
-Sensors Data Management, IoT Mining, and Analytics
-Wearables, Body Sensor Networks, Smart Portable Devices
-Design Space Exploration Techniques for IoT Devices and Systems
-Security, Privacy, and Trust for IoT



Submission Instructions
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Before submitting your manuscript, please ensure you have carefully read the submission guidelines for Human-centric Computing and Information Sciences. The complete manuscript should be submitted through the Human-centric Computing and Information Sciences submission system. To ensure that you submit to the correct thematic series please select the appropriate special issue in the drop-down menu upon submission. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
https://hcis-journal.springeropen.com/datacloudiotforhci



Deadline for submissions: 31st October, 2018
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Guest Editors
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==Lead Guest Editor==
Prof. Doo-Soon Park
Soonchunhyang University, South Korea
Email: parkds2013@gmail.com


==Guest Editors==
Arun Kumar Sangaiah, VIT University, India
M. Younas, Oxford Brookes University, UK
Sherali Zeadally, University of Kentucky, USA
Stefanos Gritzalis , University of the Aegean, Greece


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Submissions will also benefit from the usual advantages of open access publication:

Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient

High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article

No space constraints: Publishing online means unlimited space for figures, extensive data and video footage

Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed.


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