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Thu, 23 Nov 2017 11:28:28 +0000
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CASPer 2018 Publicity <[log in to unmask]>
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********************************************************************
5th International Workshop on Crowd Assisted Sensing, Pervasive Systems and
Communications (CASPer 2018)
http://casper2018.uns.ac.rs
in conjunction with The 16th IEEE International Conference on Pervasive
Computing and Communications (PerCom 2018)
Athens, Greece - March 19-23, 2018
********************************************************************

Dear colleagues,

We are two days away from the deadline for the 5th International Workshop
on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer
2018). The workshop will be 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 25, 2017 *** (FIRM)
* Author Notification: December 23, 2017
* Camera ready due: January 12, 2018 (FIRM)

Committee

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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