[BioSense 2010] Networking and Environmental Sensing meet Epidemiology and Biology

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 25, 2010 - EXTENDED

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/