Jeffrey Graham has nearly 30 years experience as a software engineer, concentrated almost exclusively in scientific applications on a variety of commercial and research projects for NASA, DARPA, Oak Ridge National Labs, the Naval Surface Warfare Center, the National Institutes of Health and others.
At TRACLabs, he develops autonomy, control and monitoring software in support of various research and commercial projects. As the Agile Team and Software Project Lead for Bruker Optics, he established, grew and managed a small software team developing portable scientific spectrometers on embedded linux platforms. Jeff was a developer on the DARPA F6 project focused on resilient communications infrastructure. At Behavioral Recognition Systems, he developed performance-critical software for video analytics and machine learning. As a robotics engineer at NASA, he designed and implemented a reusable robot software architecture successfully deployed on a variety of different field robots and tested in difficult outdoor analogue conditions: these robots provided HRI via gesture and speech recognition and each had its own recognizable synthesized voice and name to help them assimilate into the EVA team. Also at NASA, he developed evolutionary algorithms for recognizing and categorizing asteroid surface composition. As a founder, vice-president and principal researcher at Intelligenta, Inc, he performed research for the NIH focused on evolutionary algorithms to detect motion intent from noisy myoelectric signals for below elbow amputees and command artificial prosthesis based on that intent. At Computer Sciences Corporation working on Aegis software for the Navy, he researched and developed neural networks for predicting overall software quality metrics and defects. At Oak Ridge National Labs, he developed real-time interruptible expert systems for robots working in nuclear reactor accident sites.
1987, B.S. Computer Science, Louisiana State University, Baton Rouge, LA
1991, All But Dissertation towards M.S. in Systems Science with A.I. focus, Louisiana State University, Baton Rouge, LA
1. “Are you talking to Me? Dialogue Systems Supporting Mixed Teams of Humans and Robotics,” John Dowding, William Clancey, Jeffrey Graham. Submitted to the AAAI Fall Symposium 2006.
2. “Science Crew Operations and Utility Testbed,” Rochlis, J., Delgado, F., and Graham J. Industrial Robot, 2006, Vol 33, pp 443-450.
3. “Intelligence for Human-Assistant Planetary Surface Robots,” Robert Hirsh, Jeffrey Graham, et al. In Intelligence for Space Robotics, Ayanna Howard and Eddie Tunstel (eds.), May 2006.
4. “Human Assistant Planetary Exploration Robots, ”Robert Hirsh, Jeffrey Graham, Jennifer Rochlis. Tenth ASCE Aerospace Division International Conference on Engineering, Construction, and Operations in Challenging Environments, Houston, TX 05-08 Mar 2006.
5. “The Mobile Agents Integrated Field Test: Mars Desert Research Station April 2003,” William J. Clancey, Maarten Sierhuis, Rick Alena, Sekou Crawford, John Dowding, Jeffrey Graham, Charis Kaskiris, Kimberly Tyree & Ron van Hoof. The Seventeenth International Florida Artificial Intelligence Research Society (FLAIRS) Conference. Miami Beach, Florida, 17-19 May 2004.
6. “A Space-based end-to-end prototype geographic information network for lunar and planetary exploration and emergency response (2002 and 2003 field experiments),” Richard A. Beck et al. Computer Networks, Volume 47, Issue 5. April 2005, pp. 765-783.
7. “Experiments with an EVA Assistant Robot,” Robert Burridge, Jeffrey Graham, et al. International Symposium on Artificial Intelligence, Robotics and Automation in Space, Nara, Japan, May 2003.
8. “Automating Asteroid Surface Composition Identification from Reflectance Spectra,” K. Farry, J. Graham, F. Villas, K. Jarvis. 29th Lunar and Planetary Science Conference, Houston, March 16-20, 1998, pp. 1661-1662.
9. “A Concurrent Control Architecture for Autonomous Mobile Robots using Asynchronous Production Systems,” S. Iyengar, J. Graham, V. Hedge, P. Graham, F. Pin. Automation in Construction, 1993 V1, pp. 371-401.
US Patent #6272479 “Method of Evolving Classifier Programs for Signal Processing and Control”
US Patent #20110044536 “Pixel-Level Based Micro-Feature Extraction”