CMU Auton Lab publicly recognized by a Department of Homeland Security official

[Byron Spice]

Artur says he will get me in touch with the right people at the DNDO.

 

Byron Spice 

412 268 9068

 

From: awmcmu at gmail.com [mailto:awmcmu at gmail.com] On Behalf Of Andrew Moore
Sent: Friday, July 15, 2016 12:33 PM
To: Artur Dubrawski
Cc: users at autonlab.org; hebert; Byron Spice; Manuela Veloso
Subject: Re: CMU Auton Lab publicly recognized by a Department of Homeland Security official

 

Can we talk about this one publicly? I think we could get good venues for this one.

 

 

On Fri, Jul 15, 2016 at 11:44 AM, Artur Dubrawski <awd at cs.cmu.edu> wrote:

Team,

I was surprised but very pleased to hear one of our projects showcased as the sole template of
a success story in a plenary talk by Dr. Joel Rynes, Assistant Director for R&D at the U.S. Department
of Homeland Security, at the DNDO ARI conference earlier this week. 

This was completely unexpected, because the government officials at this level of responsibility 
typically refrain from mentioning any vendor or partner names explicitly in their public appearances. 
In the past, we had prepared numerous batches of presentation and press-releasable materials for 
the use by our government sponsors, from which we had to remove any and all references to CMU, 
the Robotics Institute, or the Auton Lab. 

Dr. Rynes basically said that everyone in the R&D community working in the space of radiation safety
should look at how our CMU team has developed the foundations of ERNIE system and how the results of 
our research are being successfully transitioned to the U.S. Customs practice, and how significant difference
it will make when the system is fully deployed throughout the organization.

Hats go down above all to Saswati who continues to deliver exceptional implementations of our 
algorithms and who makes our partners from Lawrence Livermore National Laboratory and various
groups of our sponsors and end-users very pleased with them.

Cheers!
Artur  

PS ERNIE stands for " Enhanced Radiological Nuclear Inspection and Evaluation". 
This is the project in which we look at the data collected using Radiation Portal Monitors 
at the U.S. ports of entry, and the primary objective is to combine physics of radiation models 
and machine learning to allow dismissing a large number of alerts that are generated 
by non-threatening sources of radiation, while never missing a real threat. 





 

-- 

Andrew Moore <http://www.cs.cmu.edu/~awm/> , Dean, School of Computer Science <http://www.cs.cmu.edu/> , Carnegie Mellon. Twitter feed <https://twitter.com/awmcmu> 

 

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