Contact InformationMatthew J. Daigle
NIO (NextEV, USA)
3200 N. First St.
San Jose, CA 95134
BiographyI received the B.S. degree in Computer Science and Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY, in 2004, and the M.S. and Ph.D. degrees in Computer Science from Vanderbilt University, Nashville, TN, in 2006 and 2008, respectively. From September 2004 to May 2008, I was a Graduate Research Assistant with the Institute for Software Integrated Systems and Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN. I had been at NASA Ames Research Center 2008 through 2017, first as an Associate Scientist through the University of California, Santa Cruz, and then as a federal employee, as a Research Computer Scientist, since 2012. I had been the lead of the Diagnostics & Prognostics Group from September 2016 through May 2017. Recently, I joined NIO as a Principal Data Scientist. I have an Erdös number of 6, and a Bacon number of 4, resulting in an Erdös-Bacon number of 10.
Research InterestsResearch in machine intelligence and autonomy, specializing in systems health management and real-time safety assurance. Focus on model-based approaches to diagnosis and prognosis. Applications in various domains, such as electric and autonomous vehicles, robotics, unmanned aerial systems, cryogenic systems, and the national airspace system.
- M. Daigle, I. Roychoudhury, and A. Bregon, "Qualitative Event-based Diagnosis Applied to a Spacecraft Electrical Power Distribution System," Control Engineering Practice, vol. 38, pp. 75-91, May 2015.
- S. Sankararaman, M. Daigle, and K. Goebel, "Uncertainty Quantification in Remaining Useful Life Prediction using First-Order Reliability Methods," IEEE Transactions on Reliability, vol. 63, no. 2, pp. 603-619, June 2014.
- M. Daigle, A. Bregon, and I. Roychoudhury, "Distributed Prognostics Based on Structural Model Decomposition," IEEE Transactions on Reliability, vol. 63, no. 2, pp. 495-510, June 2014.
- A. Bregon, M. Daigle, I. Roychoudhury, G. Biswas, X. Koutsoukos, and B. Pulido, "An Event-based Distributed Diagnosis Framework using Structural Model Decomposition," Artificial Intelligence, vol. 210, pp. 1-35, May 2014.
- M. Daigle and C. Kulkarni, "A Battery Health Monitoring Framework for Planetary Rovers," 2014 IEEE Aerospace Conference, Big Sky, MT, March 2014. (best paper award)
- M. Daigle and K. Goebel, "Model-based Prognostics with Concurrent Damage Progression Processes," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 43, no. 4, pp. 535-546, May 2013.
- M. Daigle, J. Boschee, M. Foygel, and V. Smelyanskiy, "Temperature Stratification in a Cryogenic Fuel Tank," AIAA Journal of Thermophysics and Heat Transfer, vol. 27, no. 1, pp. 116-126, January 2013.
Curriculum Vitae (8/19/2016)