Matthew J. Daigle
Artificial Intelligence, Machine Learning, & Data Science
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Curriculum Vitae

Education

Professional Experience

  • Novity, February 2020 - Present
    Principal Scientist
  • PARC, February 2020 - November 2022
    Principal Applied AI Research Scientist, System Sciences Laboratory
  • NIO USA, Inc., June 2017 - February 2020
    Principal AI Scientist, Artificial Intelligence
  • NASA Ames Research Center, September 2016 - May 2017
    Lead, Diagnostics & Prognostics Group, Discovery and Systems Health Area, Intelligent Systems Division
  • NASA Ames Research Center, January 2012 - May 2017
    Research Computer Scientist, Diagnostics & Prognostics Group, Discovery and Systems Health Area, Intelligent Systems Division
  • University of California, Santa Cruz, University Affiliated Research Center (UARC), NASA Ames Research Center, June 2008 - December 2011
    Associate Research Scientist, Diagnostics & Prognostics Group, Discovery and Systems Health Area, Intelligent Systems Division
  • Institute for Software Integrated Systems, Vanderbilt University, Fall 2004 - Spring 2008
    Graduate Research Assistant, Model-based Embedded Systems (ModES) Lab, Modeling and Analysis of Complex Systems (MACS) Group

Teaching

  • “Diagnostics Methods”, PHM Fundamentals Short Course, Annual Conference of the Prognostics and Health Management Society 2018, Philadelphia, PA, October, 2018
  • “Prognostics Methods”, “Prognostics Case Studies”, PHM Fundamentals Short Course, Annual Conference of the Prognostics and Health Management Society 2017, St. Petersburg, FL, October, 2017
  • “Diagnosing Multiple Faults with Qualitative Models”, “Introduction to Prognostic”, International Summer School on Fault Diagnosis of Complex Systems, Terrassa, Spain, July 2017
  • “Prognostics Methods”, “Prognostics Case Studies”, PHM Fundamentals Short Course, Annual Conference of the Prognostics and Health Management Society 2016, San Diego, CA, October, 2016
  • “Model-based Prognostics” (Tutorial), Annual Conference of the Prognostics and Health Management Society 2014, Fort Worth, TX, October, 2014

Publications

See the Publications page.

Awards

  • Individual Awards
    • Elevation to Senior Member, IEEE, 2015
    • NASA Early Career Achievement Medal, NASA Ames Research Center, 2014
    • Ames Contractor Council Excellence Award, NASA Ames Research Center, 2011
    • Staff Recognition and Development Award, University of California, Santa Cruz, 2011
    • Staff Recognition and Development Award, University of California, Santa Cruz, 2009
    • Research Assistantship, Vanderbilt University, 2004–2008
    • University Graduate Fellowship, Vanderbilt University, 2004–2008
  • Group Awards
    • NASA Group Achievement Award, DaSHlink Team, NASA Ames Research Center, 2019
    • NASA Group Achievement Award, Systems-Health & Operations Open-Data Team, NASA Ames Research Center, 2018
    • PHM Society Contributor of the Year Award, Prognostics Center of Excellence, 2016
    • NASA Group Achievement Award, Airspace Real-Time Safety Modeling Team, NASA Ames Research Center, 2016
    • NASA Group Achievement Award, Advanced Ground Systems Maintenance Team, NASA Ames Research Center, 2016
    • NASA Group Achievement Award, Prognostics Flight Demonstration Team, NASA Ames Research Center, 2015
    • NASA Group Achievement Award, Prognostics Team, NASA Ames Research Center, 2014
    • NASA Group Achievement Award, CEV 80-AS Wind Tunnel Test Team, NASA Ames Research Center, 2011
  • Paper Awards
    • IEEE Autotestcon, Best Paper Award: C. Kulkarni, G. Gorospe, M. Daigle, and K. Goebel, “A Testbed for Implementing Prognostic Methodologies on Cryogenic Propellant Loading Systems,” 2014 IEEE Systems Readiness Technology Conference (AUTOTESTCON), pp. 280-289, St. Louis, MO, September 2014.
    • IEEE Aerospace Conference, Best Paper Award: M. Daigle and C. Kulkarni, “A Battery Health Monitoring Framework for Planetary Rovers,” 2014 IEEE Aerospace Conference, Big Sky, MT, March 2014.
    • Annual Conference of the Prognostics and Health Management Society, Best Paper Award, Theory Category: M. Daigle, I. Roychoudhury, S. Narasimhan, S. Saha, B. Saha, and K. Goebel, “Investigating the Effect of Damage Progression Model Choice on Prognostics Performance,” Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, pp. 323-333, Montreal, Quebec, Canada, September 2011.
    • GameOn 2005, Bets Paper Award: S. Bringsjord, S. Khemlani, K. Arkoudas, C. McEvoy, M. Destefano, and M. Daigle, “Advanced Synthetic Characters, Evil, and E,” Game-On 2005, 6th International Conference on Intelligent Games and Simulation, pp. 31-39, Leicester, United Kingdom, November 2005.
  • Competition Awards
    • 2013 Fourth International Diagnostic Competition, Diagnostic Problem I, First Place
    • 2011 Third International Diagnostic Competition, Diagnostic Problem I, First Place