SDATS

Overview

Gathering scientific data in the field can be labour-intensive and expensive. SDATS aims to reduce the cost and increase the effectiveness of scientific data-gathering through application of network-based sensing and computing.

Our purpose is to enhance the ability of scientists to:

1. gather data from their subjects at any location;
2. move data rapidly and securely to permanent storage; and
3. retrieve data efficiently from storage.

The SDATS research group aims to develop innovative, real-world automated data gathering systems for scientists who require data collection in remote, hazardous or challenging environments.

If you have a natural science research project with data-collection challenges please contact Richard Vaughan or Greg Mori.

SDATS Researchers

• Andrei Bulatov (constraint networks)
• Funda Ergun (network quality of service, sublinear algorithms )
• Jiangchuan Lui (data streaming, sensor networks)
• Greg Mori (computer vision)
• Jian Pei (data warehousing, mining and online processing)
• Richard Vaughan (robotics, intelligent sensor networks)

Current Collaborators

• Larry Dill, Biology, SFU.
• Kristina Rothley, Resource and Environmental Management, SFU.
• Scientific Computing and Imaging Research Facility, SFU