Eric L. Demirjian
Missile and Space Intelligence Center (MSIC)/Defense Intelligence Agency
Director of the Test and Evaluation Threat Resource Activity (TETRA)
Since joining DIA in 2002, Mr. Demirjian has been a key DIA, MSIC, and DOT&E analyst, engineer, and leader providing support to U.S. acquisition programs, operational test, Services, warfighters, and policymakers. His areas of expertise include modeling and simulation, surface-to-air missiles systems, State and Non-state missile tactics and training, missile event analysis, air warfare, integrated threat assessment, cognitive threats, and neural networks has been briefed at the highest national level, including the President and foreign heads of state. Mr. Demirjian has been a leader in FVEY and NATO collaboration, hardware and software modeling, cognitive and autonomous threats, agile development, country analysis, and Cyber/Air/Space Warfare technologies. In addition, from 2010-2013, Mr. Demirjian served as a Diplomat within the United Kingdom as a U.S. Exchange Officer. Away from DIA, Mr. Demirjian is a father to three exceptional children, serves as the coach of the first High School water polo team in Alabama, and is an Assistant Scoutmaster.
Mr. Demirjian earned a Bachelor of Science in Aerospace Engineering from the Georgia Institute of Technology and a Master of Science in Management from the Florida Institute of Technology. Academically, Mr. Demirjian’s expertise includes electro-optical and infrared guidance technologies, infrared and radar countermeasures, signature suppression, and antenna and radar technologies. Mr. Demirjian is in the final year of his doctoral program at the Florida Institute of Technology, focusing on artificial intelligence, team augmentation, human-machine teaming, and AI Superteaming. Mr. Demirjian’s dissertations is an exploratory sequential mixed-methods analysis examining high-functioning virtual team members as proxies for A.I. and human teaming, the augmentation of low-, moderate-, and high-functioning virtual teams with A.I., defining an A.I. investment roadmap based on fundamental job tasks, and establishing a scholarly definition of A.I. Superteams.