CS and CSCommunity: LinkedIn group, an Internship and the CAM repository.

I have decided to create a LinkedIn Group for people that are interested about Compressive Sensing. While the current community includes many researchers, this situation is bound to change as more engineers know about these techniques. If you are on LinkedIn you may want to join the Compressive Sensing Study Group.





A description of it is:

The group's purpose is to foster exchange between researchers and engineers on the rapidly evolving field of Compressive Sensing. The current implementation of this technology spans a wide range of Technology Readiness Levels across a wide variety of engineering fields (Imaging, Oil/gas exploration, Electrical Engineering....) as well as Theoretical Computer Science and Mathematics.

If you have a better description or logo, please let me know.


What would you do if you were a student or looking for a job in the Cambridge (US) area and are reading this blog often ? maybe you could be interested in taking up the following internship. Amit Agrawal whom I featured here before has an opening for Fall Internship (2008) at Mitsubishi Electric Research Labs (MERL)

Aug 2008 - Jan 2009

We are looking for a student with experience and interest in one or more of the following topics

Computational Imaging/Photography
Active illumination
LightFields and Applications
Motion Deblurring
Coded Aperture Techniques

Project details are at http://www.merl.com/people/agrawal/index.html

• The student research background should include computer vision and image processing projects.
• Programming experience in Matlab, C/C++
• The student may also submit his/her own proposal for a research project.
• Competitive pay, fun working environment.

Please send email to agrawal at merl dot com with resume, dates of availability and area of interest.

Even though, it is not a requirement to know about Compressive Sensing, I added this internship to CSjobs.

Stanley Osher reminded me I should link to the repository of Recent reports of the Computational and Applied Mathematics department at UCLA since it has a many papers on "Bregman, L1, TV, compressed sensing, NL means." I just set my webcrawler to look at it everyday.