[ecoop-info] CFP: IEEE ISSNIP 2014 Symposium on Participatory Sensing and Crowdsourcing

ISSNIP 2014 issnip2014 at gmail.com
Wed Oct 30 02:40:42 CET 2013


IEEE Symposium on Participatory Sensing and Crowdsourcing


April 21-24, 2014 - Singapore

in conjunction with IEEE ISSNIP 2014 (http://issnip2014.i2r.a-star.edu.sg)



Abstract Submission Deadline: 17 Nov 2013

Paper Submission Deadline: 24 Nov 2013

Paper Acceptance Notification: 05 Jan 2014

Camera Ready Manuscript Deadline: 02 Feb 2014


The recent wave of sensor-rich, Internet-enabled, smart mobile devices has
opened the door for a novel paradigm for monitoring the urban landscape
known as participatory sensing. Using this paradigm, ordinary citizens can
collect multi-modal data streams (e.g., audio, video, sound, location
coordinates, etc.) from the surrounding environment using their mobile
devices and share the same using existing communication infrastructure
(e.g., cellular services or WiFi access points). The data contributed from
multiple participants can be combined to build a spatiotemporal view of the
phenomenon of interest and also to extract important community statistics.
Given the ubiquity of mobile phones and the high density of people in
metropolitan areas, participatory sensing can achieve an unprecedented
level of coverage in both space and time for observing events of interest
in urban spaces.

The Participatory Sensing and Crowdsourcing symposium at ISSNIP 2014 is
designed to attract diverse participation from researchers and
practitioners working at the leading edge in participatory sensing and
crowdsourcing technologies. This necessarily covers a broad spectrum of
topics, representative of the cross-cutting nature of the area -- from
novel applications, to making sense of large-scale sensor data, to human
computer interaction, to practical experiments.

We solicit original and unpublished manuscripts on various aspects of
participatory sensing, including (but not limited to) the following topics:

- Novel applications
- Participatory sensing, opportunistic sensing and crowdsourcing paradigms
- Middleware support and programming models
- Mining large scale multi-modal sensor data
- Intersections with cloud technologies
- Interactions between mobile devices and humans
- Novel user interfaces
- Energy-efficient sensing
- Activity recognition and high-level inferences
- User privacy issues
- Incentive mechanisms to motivate participation
- Assessing data trustworthiness
- Synergies between online social networks and participatory sensing
- Application deployment issues and experiences with large-scale deployment


Please follow the IEEE ISSNIP 2014 Formatting:


Salil Kanhere, The University of New South Wales, Australia
Tony Tie Luo, Institute for Infocomm Research, Singapore

(in alphabetic order)

Delphine Christin, Technical University Darmstadt, Germany
Chun Tung Chou, The University of New South Wales, Australia
Pradipta De, SUNY, Korea
Raghu Ganti, IBM Research, USA
Vana Kalogeraki, Athens University of Economics and Business, Greece
Ioannis Krontiris, Goethe University Frankfurt, Germany
Kun-Chan Lan, National Cheng Kung University, Taiwan
Archan Misra, Singapore Management University, Singapore
Thanasis Papaioannou, EPFL, Switzerland
Venkataraman Ramakrishna, IBM Research, India
Rajib Rana, CSIRO, Australia
Andreas Reinhardt, The University of New South Wales, Australia
Paul Roe, Queensland University of Technology, Australia
Vijay Sivaraman, The University of New South Wales, Australia
Aniruddha Sinha, Tata Consultancy Services, India
Chen-Khong Tham, National University of Singapore, Singapore
Kuldeep Yadav, Xerox Research, India
Zhixian Yan, Samsung Research, USA
Dejun Yang, Colorado School of Mines, USA
Demetris Zeinalipour, University of Cyprus, Cyprus
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