BioSense2010: Networking and Environmental Sensing meet Epidemiology
and Biology (In conjunction with IEEE MASS 2010)
November 8, 2010, San Francisco, CA, USA
http://www.cl.cam.ac.uk/~ixyl2/biosense10/
Program Chairs
Hamed Haddadi, Royal Veterinary College, University of London
Eiko Yoneki, Computer Laboratory, University of Cambridge
Web Chair
Ian Leung (University of Cambridge)
Manuscripts due: June 18, 2010
Acceptance notification: August 13, 2010
Camera-ready submission: September 3, 2010
Overview
Networking and biology have been closely coupled in the last few
years. From analysis of Protein-Protein Interaction networks, to
social network of badgers and spread of diseases such as TB,
biologists, epidemiologists, computer scientist and sensor network
engineers have been working closely on a number of cross-disciplinary
projects. These efforts have led to the design an ever growing number
of applications, mathematical models protocols, software and hardware
protocols for environment sensing, disease modelling and animal
behaviour theories.
Among different aspects of cross-disciplinary research on networking
and biology, BioSense2010 will focus on measurement-based analysis of
biological and epidemic networks. This is in order to ensure that the
proposed models and arguments can be empirically validated and the
datasets and methods are available to the public community. We
encourage participants to release their dataset upon acceptance of
their papers.
The workshop aims to bring together scientist, academics and students
from a wide range of backgrounds such as mathematics, computer
science, engineering, agriculture, veterinary sciences and
epidemiology. We aim to provide a rich environment to prosper
discussion between experts in these fields on new data mining, data
processing and analysis techniques.
The Workshop solicits contributions on topics related to, but not
limited to, the following:
- Data mining on environmental monitoring sensors
- Analysis of group behaviour in animals using wireless sensors
- Measurements of epidemic spreading of disease
- Bio-inspired networks and robotics
- Delay tolerant and sensor networks
- Large scale data analysis and knowledge discovery
- Novel methods of data collection for wild habitat social networks
Program Committee:
Ian Brown, Oxford Internet Institute
Darren Croft, University of Exeter
Jon Crowcroft, University of Cambridge
David Lusseau, University of Aberdeen
Tristan Henderson, University of St Andrews
Pan Hui, Deutsche Telekom Laboratories
Andrew King, University of London
Albert Lam, University of Hong Kong
Pietro Lio, University of Cambridge
Richard Mortier, University of Nottingham
Mirco Musolesi, University of St Andrews
Andrea Perna, ISC-PIF France
Venus Shum, University College London
Miguel Silveira, Toumaz Technology Ltd
Cedric Sueur, Princeton University
Jim Usherwood, University of London
Authors should prepare a PDF file following the IEEE single-space,
two-column format using at least 10 point size type. The maximum page
limit is 6 pages -- papers longer than 6 pages will be
administratively disqualified and will NOT be reviewed. The paper must
be correctly formatted to fit on U.S. "letter" size page (8.5" by 11")
with at least 1" margins on all 4 sides. Please use only standard
fonts such as Times Roman, Courier, Symbol, and Helvetica. The IEEE
LaTeX and Microsoft Word templates, as well as related information,
can be found at the CPS Formatting page on IEEE Computer Society
website.
Paper submission is managed through EDAS. All papers must be submitted
in PDF format. To submit a paper, please click on the following link:
http://edas.info/conference.php?c=9077
http://www.cl.cam.ac.uk/~ixyl2/biosense10/
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