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This profile was last updated on 10/25/10  and contains information from public web pages.

Ms. Melanie Dumas

Wrong Melanie Dumas?

Member, Artificial Intelligence L...

Phone: (858) ***-****  HQ Phone
Email: m***@***.edu
University of California , San Diego
9500 Gilman Drive MC 0657
La Jolla, California 92093
United States

Company Description: The University of California, San Diego, is one of the leading Universities in mixed-signal, microwave and mm-wave RFICs, digital communications, applied...   more
Background

Employment History

Web References
Axion Racing Team
www.axionracing.com, 25 Oct 2010 [cached]
Melanie Dumas
...
The Axion Racing Twins, Melanie Dumas, Josh O'Briant, & Bill Kehaly wait for a perfect sunset.
...
MELANIE DUMAS
Chief Information Officer
...
Melanie Dumas works with the Artificial Intelligence Laboratory at the University of California, San Diego . She has a unique approach to robot building - combining the world class algorithms produced by the university with the practical knowledge acquired from of years of competitive robotics. She currently works for ITT Industries, enhancing speech recognition engines in high noise environments such as M1A2 tanks.
The DARPA Grand Challenge arrives at a point in Melanie's life where she is ready to apply all her years of artificial intelligence, robotics, and psychology studies into a concrete application, culminating into a vehicle that will intelligently traverse the race course DARPA creates.
As Chief Information Officer, Ms. Dumas leads a team that manages the work of all the sub-teams. Utilizing code developed by Melanie's team, Axion Racing is able to quickly manage all of the data provided by the team's UAV toolbox. Weighing, filtering, and manipulating large streams of data will allow Ms. Dumas' team to provide intelligent commands to the systems and mechanical sub-teams. Melanie has four teams of three or more individuals that help her create exciting technology.
Melanie was the only female Chief Information Officer at both the 2004 and 2005 DARPA Grand Challenges. Her leadership allowed the autonomous Spirit to be one of only seven teams to "officially qualify" for the 2004 Grand Challenge and start as the third team in the 2005 Grand Challenge.
Axion Racing Team
www.axionracing.com, 25 Oct 2010 [cached]
Melanie Dumas
...
Melanie Dumas, Josh O'Briant, & Bill Kehaly wait for perfect sunset shot.
...
MELANIE DUMAS
Chief Information Officer
...
Melanie Dumas works with the Artificial Intelligence Laboratory at the University of California, San Diego . She has a unique approach to robot building - combining the world class algorithms produced by the university with the practical knowledge acquired from of years of competitive robotics. She currently works for ITT Industries, enhancing speech recognition engines in high noise environments such as M1A2 tanks.
The DARPA Grand Challenge arrives at a point in Melanie's life where she is ready to apply all her years of artificial intelligence, robotics, and psychology studies into a concrete application, culminating into a vehicle that will intelligently traverse the race course DARPA creates.
As Chief Information Officer, Ms. Dumas leads a team that manages the work of all the sub-teams. Utilizing code developed by Melanie's team, Axion Racing is able to quickly manage all of the data provided by the team's UAV toolbox. Weighing, filtering, and manipulating large streams of data will allow Ms. Dumas' team to provide intelligent commands to the systems and mechanical sub-teams. Melanie has four teams of three or more individuals that help her create exciting technology.
Melanie was the only female Chief Information Officer at the 2004 DARPA Qualifying, Information, and Demonstration (QID) held in Fontana. Her leadership allowed the the autonomous Spirit to be one of only seven teams to "officially qualify" for the March 13, 2004 Grand Challenge.
The Ventura County Star Network
www.axionracing.com [cached]
"It's kind of a mystery," said Melanie Dumas, Chief Information Officer for Axion Racing.
...
As Dumas explains it, all of the car's sensors vote on where the car should go.
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