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CASPer 2018 Publicity <[log in to unmask]>
Sat, 16 Sep 2017 11:01:59 -0400
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[Apologies for cross and multiple postings]

5th International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer 2018)
in conjunction with The 16th IEEE International Conference on Pervasive Computing and Communications (PerCom 2018)
Athens, Greece - March 19-23, 2018

Dear colleagues,

We would like to invite you to submit your work to the 5th International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer 2018), held in conjunction with the 16th IEEE International Conference on Pervasive Computing and Communications (PerCom 2018). We would appreciate if you could circulate this email to colleagues and relevant mailing lists.

Call for Papers

With smart-phones in their pockets, more than 1 billion people now have access to sensing, computation, and connectivity, making it possible to harness the power of the crowd to collect and share data about their surroundings and experiences on a massive scale. Crowdsensing/crowdsourcing is a novel data collection paradigm that leverages this vast mobile sensor network, making it possible to expand the scope of research endeavors and address civic issues without requiring the purchase of specialized sensors or the installation and maintenance of network infrastructure. Data collected using such applications may come from unexpected yet interesting and valuable sources and may allow for collecting data in previously inaccessible locations and contexts.

This new data collection paradigm introduces several research challenges. Privacy is a primary concern for users who contribute sensitive or personally identifiable information (PII). Incentive mechanisms for participation may be needed to encourage people to volunteer their resources to collect data. Methods are needed for processing large-scale, user-generated data sets into meaningful information, and for assessing and understanding the quality of information to help guide decision-making. Approaches which involve the crowd in such data analysis tasks, with humans serving as a source of semantic information, interpretation, and evaluation of crowdsensing/crowdsourcing data, can also help to build an understanding of the physical, computational, and socio-technical environment.

The objective of this workshop is to provide a forum for discussion, debate, and collaboration focused on ideas, trends, techniques, and recent advances in crowdsensing and crowdsourcing. We invite original research contributions that advance the state of the art as well as position papers that pose a new direction or present a controversial point of view. Topics of interest include, but are not limited to:

* Algorithms to handle, process, and visualize large-scale crowdsensing/crowdsourcing data sets
* Data integrity, security, privacy, and provenance for crowdsensing/crowdsourcing data
* Trust and reputation systems for crowdsensing/crowdsourcing applications
* Determining and assessing Quality of Information for crowdsensing/crowdsourcing data
* Crowd-assisted (human-in-the-loop) approaches to analyzing crowdsensing/crowdsourcing data
* Context modeling and reasoning in crowdsensing/crowdsourcing applications
* Incentive mechanisms for participation in crowdsensing/crowdsourcing applications
* Supporting crowdsensing/crowdsourcing in heterogeneous networks
* Crowd assisted pervasive systems and communications
* Novel use of sensors for crowdsensing/crowdsourcing applications
* Energy-efficient mechanisms for crowdsensing/crowdsourcing applications
* Programming abstractions and middleware for crowdsensing/crowdsourcing applications
* Novel large-scale crowdsensing/crowdsourcing applications

Paper Submission

Submitted papers must be original contributions that are unpublished and are not currently under consideration for publication by other venues. Submissions are limited to a maximum length of 6 pages and must adhere to IEEE format (2 column, 10 pt font). Papers can be submitted via the EDAS submission portal for CASPer 2018 (will be available soon). Templates are available via the workshop website. Workshop papers will be included and indexed in the IEEE digital libraries (Xplore). Note, that each accepted workshop paper requires a full PerCom registration (no registration is available for workshops only).

Important Dates

* Submission deadline: November 11, 2017
* Author Notification: December 23, 2017
* Camera ready due: January 12, 2018 (FIRM)


General Chairs
Yu Wang, The University of North Carolina at Charlotte, USA
Imre Lendak, University of Novi Sad, Serbia

Programme Chairs      
Salil Kanhere, The University of New South Wales, Australia
Raghu Ganti, IBM - Thomas J. Watson Research Center, USA

Publicity Chair
Waldir Moreira, Fraunhofer AICOS, Portugal

Steeing Committee  
Károly Farkas (Chair), Budapest University of Technology and Economics / NETvisor Information and Communication Ltd., Hungary
Luke Dickens, University College London, UK
Miguel Labrador, University of South Florida, USA
Emil Lupu, Imperial College London, UK
Jamie Payton, Temple University, USA
Thomas Silverston, National Institute of Information and Communications Technology, Japan

Technical Programme Committee
Luciano Baresi, Politecnico di Milano, Italy
Paolo Bellavista, University of Bologna, Italy
Antonio Corradi, University of Bologna, Italy
Luke Dickens, University College London, UK
Karoly Farkas, Budapest University of Technology and Economics, Hungary
Jonathan Fürst, IT University of Copenhagen, Denmark
Avik Ghose, Tata Consultancy Services, India
Bin Guo, Northwestern Polytechnical University, China
Qi Han, Colorado School of Mines, USA
Miguel Labrador, University of South Florida, USA
Qinghua Li, University of Arkansas, USA
Seng Loke, Deakin University, Australia
Tony Luo, Institute for Infocomm Research, Singapore 
Emil Lupu, Imperial College, UK 
Paulo Mendes, COPELABS / University Lusofona, Portugal 
Jamie Payton, Temple University, USA
Swati Rallapalli, IBM Research, USA 
Theofanis Raptis, National Research Council, Italy 
Thomas Silverston, National Institute of Information and Communications Technology, Japan
Dragan Stojanovic, University of Nis, Faculty of Electronic Engineering, Serbia 
Umair ul Hassan, Insight Centre of Data Analytics, Ireland
Alexander Zipf, University of Heidelberg, Germany  

Kindest regards,

Waldir Moreira,
Publicity Chair 
CASPer 2018

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