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Dr. Michael H. Azarian is a research scientist at the Center for Advanced Life Cycle Engineering (CALCE) at the University of Maryland. He holds a Master's and Ph.D. in Materials Science from Carnegie Mellon University, and a Bachelor's degree in Chemical Engineering from Princeton University.

Dr. Azarian’s primary research interests are detection, prediction, and analysis of failures in electronic components and assemblies. He has over 150 publications on electronics reliability and packaging, prognostics and health management, and tribology, and holds 6 U.S. patents.

Prior to joining CALCE, he spent over a dozen years in the disk drive and fiber optics industries, having worked at Bookham Technology, W.L. Gore, Censtor, and Philips Research Laboratories. Dr. Azarian is chair of the SAE G-19A Test Laboratory Standards Development Committee which is responsible for the AS6171 family of standards on the detection of counterfeit electrical, electronic, and electromechanical parts. He is also co-chairman of the Miscellaneous Techniques sub-group of the G-19A committee. He chairs the working group responsible for the IEEE 1624 standard on the organizational reliability capability of suppliers of electronic products. He was previously chair for the IEEE 1332 Standard on reliability programs.

Recent Publications

Effects of Moisture and Temperature on Membrane Switches Laptop Keyboards , Jose Romero, Michael H. Azarian, Carlos Morillo, and Michael G. Pecht, IEEE Transactions on Device and Materials Reliability, August, 2018, DOI: 10.1109/TDMR.2018.2866776.

Failure of Polymer Aluminum Electrolytic Capacitors Under Elevated Temperature Humidity Environments, Anshul, Shrivastava, Michael Azarian, and Michael Pecht, IEEE Transactions on Components, Packaging, and Manufacturing Technology, 2017.

Thermal degradation of Polyimide Insulation and Its Effect on Electromagnetic Coil Impedance, N. Jordan Jameson, Michael H. Azarian, and Michael Pecht, Proceedings of the Society for Machinery Failure Prevention Technology Conference, May 15-18, 2017, Virginia Beach, VA.

Fault Detection in Bearings Using Autocorrelation, Rushit N. Shah, Michael H. Azarian, Michael G. Pecht, Proceedings of the Society for Machinery Failure Prevention Technology Conference, May 15-18, 2017, Virginia Beach, VA.

Rapid Assessment Testing of Polymer Aluminum Electrolytic Capacitors in Elevated Temperature-Humidity Environments, Anshul Shrivastava, Michael Azarian, and Michael Pecht, Journal of Failure Analysis and Prevention, Volume 16, Issue 6, 1059-1066, November, 2016, DOI: 10.1007/s11668-016-0184-0.

Motor bearing fault detection using spectral kurtosis-based feature extraction coupled with k-nearest neighbor distance analysis, Jing Tian, Carlos Morillo, Michael H. Azarian, Michael Pecht, IEEE Transactions on Industrial Electronics, Vol. 63, No. 3, 1793-1803, March 2016.