The 2022 Parts and Materials Management Conference (PMMC) will be held in Aurora, Colorado in March 2022. CALCE graduate students, Hirbod Akhavantaheri and Devon Richman will be presenting their work on counterfeit electronic parts at this conference.
Devon Richman will be presenting on 
"Comparative Assessment of Side Channel, Machine Vision, and Standards-Based Methods for Counterfeit Detection and Prevention." In 2019, CALCE began a DMEA-sponsored project to investigate techniques for detection and authentication of counterfeit microelectronic parts which concluded in December 2020 and included a comparative evaluation of side-channel methods, machine vision technologies, and conventional laboratory testing based on the SAE AS6171 standard. This presentation will summarize the results of all three forms of counterfeit identification and authentication.
Mr. Devon Richman is a third-year Ph.D. student at the Center for Advanced Life Cycle Engineering (CALCE) at the University of Maryland College Park. He received his Bachelor's degree in Mechanical Engineering from the University of Maryland. He is an active member of the SAE G-19A Test Laboratory Standards Development Committee as well as a technical expert for the ANSI Nation Accreditation Board for SAE AS6171. Mr. Richman’s primary research interests are the detection of counterfeit microelectronics and failure analysis of electronics. He has worked on the analysis of current standards-based methods as well as newly developing detection systems. He has performed failure analysis for industry leaders including General Electric.
Hirbod Akhavantaheri will be presenting on 
"An Enterprise Network Model for Understanding and Disrupting Illicit Counterfeit Electronic Part Supply Chains." Counterfeit electronics pose a great threat to the availability and functionality of critical infrastructures such as health care and energy. Most solutions to this day have focused on the detection of counterfeit parts. Although necessary, detection addresses the symptom of the problem, not the cause. Developing an agent-based network model can assist in understanding the complex socio-technical system of the counterfeit electronics supply chain. Using the model the efficacy of policies such as buyback and debarment to disrupt the flow of counterfeit parts can be tested and optimized.
Hirbod is currently a Mechanical Engineering Ph.D. student at the University of Maryland, College Park, concentrating in design and system reliability. He received his Bachelor of Science degree in Mechanical Engineering from the University of Maryland in 2019. Hirbod’s research interest is in applying engineering concepts to solve problems associated with human societies, organizations, interactions, and behaviors. He is currently researching in the area of applicability of agent-based modeling to address the global counterfeit electronics problem. He has also previously worked on designing the architecture of novel mesh reflectors for space-based radar systems at L3Harris Technologies.
For more information about CALCE research in the areas of counterfeit electronics, contact Dr. Diganta Das.
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