Parham Shahidi is a Research Scientist in the System Sciences Lab at PARC. His research focus is on artificial intelligence for cyber-physical systems and predictive analytics systems for safety-sensitive applications.
Parham has been working in the area of condition monitoring and analytics since 2007, starting with the development of a speech-based condition evaluation system for operators for his doctoral research. In 2011, he joined Amsted Rail Company Inc., where he worked on bringing predictive maintenance to the freight rail industry with data from on-board monitoring hardware. His major projects include the development of machine learning algorithms for vehicle instability detection, wheel wear prediction, onboard weighing and bearing condition monitoring.
Parham holds a Ph.D. in Mechanical Engineering from Virginia Tech, where we worked at the Center for Vehicle Systems and Safety, and a B.S. in Mechanical & Process Engineering from TU Darmstadt in Germany. He has served as an adjunct professor at Virginia Commonwealth University, and is a board member of the German Engineers Association (VDI) in North America. He is an active contributor to professional organizations including ASME, VDI, JVC and the PHM Society. In 2015 he received the Best Technical Paper Applied award of the Prognostics and Health Management Society.
In his spare time, Parham enjoys traveling around the world, cooking and working out.
events view all
Railway Prognostics and Health Management (panel)
12 July 2017 - 15 July 2017 | Jeju, Korea
How Artificial Intelligence Will Change Freight Rail Maintenance
4 April 2017 - 7 April 2017 | Philadelphia, PA
2016 Annual Conference of the Prognostics and Health Management Society
5 October 2016 - 6 October 2016 | Denver, CO