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PROFILE:

 

Parham Shahidi
Research Scientist

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. 

 

PARC publications

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2017

 

 

other publications

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2016

2015

Railcar Bogie Performance Monitoring using Mutual Information and Support Vector Machines

2015 Prognostics and Health Management Society Conference

19 October 2015

2014

Estimation of Bogie Performance Criteria Through On-Board Condition Monitoring

2014 Prognostics and Health Management Society Conference

29 September 2014

Lateral Instability Detection

American Society of Mechanical Engineers Joint Rail Conference

2 April 2014

2010

Analysis of Speech Metrics to Estimate Crew Alertness Using Fuzzy Logic

Association of American Railroads Technology Digest

1 October 2010

Estimating Crew Alertness from Speech

American Society of Mechanical Engineers Joint Rail Conference

27 April 2010

2008

Estimation of Temporal Word Boundaries: A Building Block for Determining Human Alertness

Association of American Railroads Technology Digest

1 December 2008

 

 

 

 

competencies

 

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