Brian Jalaian
Dr. Brian Jalaian is currently AI Test Tool Lead at DoD Joint Artificial Intelligence Center. He is a... | Washington DC-Baltimore Area, Washington DC-Baltimore Area, United States
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Brian Jalaian’s Emails br****@vt****.edu
Brian Jalaian’s Phone Numbers No phone number available.
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Brian Jalaian’s Location Washington DC-Baltimore Area, Washington DC-Baltimore Area, United States
Brian Jalaian’s Expertise Dr. Brian Jalaian is currently AI Test Tool Lead at DoD Joint Artificial Intelligence Center. He is a senior Artificial Intelligence (AI) research scientist at ARL and an adjunct assistant professor at Virginia Tech. He obtained his Ph.D. from the Bradley Department of Electrical and Computer Engineering in 2016 at Virginia Tech. He obtained his MS in Electrical Engineering (Network and Communication Systems) and MS in Industrial System Engineering (Operation Research) in 2013 and 2014 at Virginia Tech, respectively. He has been serving as a subject matter expert on AI assurance, safety, and security for mission-critical applications. His research interests are the broad area of robust and resilient AI including uncertainty quantification for machine learning, adversarial machine learning, test, evaluation, verification, and validation (TEV&V) for deep learning-based intelligent systems. Brian has experience in forming and leading cross-functional machine learning teams to pursue research and development on cutting-edge technologies. His research experience, skills, and technical leadership impact the basic research on developing unique capabilities for artificial intelligence for Army Research Laboratory. Particularly, he formed and led a technical machine learning research team focusing on uncertainty quantification, safe, robust, and resilient artificial intelligence on the Internet of Battlefield Things Collaborative Research Alliance.
Brian Jalaian’s Current Industry DoD Chief Digital and Artificial Intelligence Office
Brian
Jalaian’s Prior Industry
National University of Singapore
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Virginia Tech
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U.S. Army CCDC Army Research Laboratory
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DoD Joint Artificial Intelligence Center
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DoD Chief Digital and Artificial Intelligence Office
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Work Experience
DoD Chief Digital and Artificial Intelligence Office
T&E Lead
Wed Jun 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
U.S. Army CCDC Army Research Laboratory
Senior Artificial Intelligence Research Scientist
Mon Mar 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Feb 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
DoD Joint Artificial Intelligence Center
T&E Lead
Mon Feb 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Virginia Tech
Adjunct Assistant Professor
Fri Jan 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Virginia Tech
Adjunct Assistant Research Professor
Fri Jun 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Dec 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
U.S. Army CCDC Army Research Laboratory
Research Scientist
Mon Jan 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Jan 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
U.S. Army CCDC Army Research Laboratory
Postdoctoral Fellow
Mon Feb 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Jan 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time)
Virginia Tech
Research Assistant at Complex Network and Security Research Group
Mon Aug 01 2011 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Jan 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time)
National University of Singapore
Research Associate
Tue Jan 01 2008 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Jan 01 2011 00:00:00 GMT+0000 (Coordinated Universal Time)Skills
Languages
Brian Jalaian Email Addresses
FAQ About Brian Jalaian
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Brian Jalaian is located at
Washington DC-Baltimore Area, Washington DC-Baltimore Area, United States -
Brian Jalaian is a
Dr. Brian Jalaian is currently AI Test Tool Lead at DoD Joint Artificial Intelligence Center. He is a senior Artificial Intelligence (AI) research scientist at ARL and an adjunct assistant professor at Virginia Tech. He obtained his Ph.D. from the Bradley Department of Electrical and Computer Engineering in 2016 at Virginia Tech. He obtained his MS in Electrical Engineering (Network and Communication Systems) and MS in Industrial System Engineering (Operation Research) in 2013 and 2014 at Virginia Tech, respectively. He has been serving as a subject matter expert on AI assurance, safety, and security for mission-critical applications. His research interests are the broad area of robust and resilient AI including uncertainty quantification for machine learning, adversarial machine learning, test, evaluation, verification, and validation (TEV&V) for deep learning-based intelligent systems. Brian has experience in forming and leading cross-functional machine learning teams to pursue research and development on cutting-edge technologies. His research experience, skills, and technical leadership impact the basic research on developing unique capabilities for artificial intelligence for Army Research Laboratory. Particularly, he formed and led a technical machine learning research team focusing on uncertainty quantification, safe, robust, and resilient artificial intelligence on the Internet of Battlefield Things Collaborative Research Alliance. DoD Chief Digital and Artificial Intelligence Office -
Brian Jalaian currently works in the
DoD Chief Digital and Artificial Intelligence Office -
Brian Jalaian specializes in
Dr. Brian Jalaian is currently AI Test Tool Lead at DoD Joint Artificial Intelligence Center. He is a senior Artificial Intelligence (AI) research scientist at ARL and an adjunct assistant professor at Virginia Tech. He obtained his Ph.D. from the Bradley Department of Electrical and Computer Engineering in 2016 at Virginia Tech. He obtained his MS in Electrical Engineering (Network and Communication Systems) and MS in Industrial System Engineering (Operation Research) in 2013 and 2014 at Virginia Tech, respectively. He has been serving as a subject matter expert on AI assurance, safety, and security for mission-critical applications. His research interests are the broad area of robust and resilient AI including uncertainty quantification for machine learning, adversarial machine learning, test, evaluation, verification, and validation (TEV&V) for deep learning-based intelligent systems. Brian has experience in forming and leading cross-functional machine learning teams to pursue research and development on cutting-edge technologies. His research experience, skills, and technical leadership impact the basic research on developing unique capabilities for artificial intelligence for Army Research Laboratory. Particularly, he formed and led a technical machine learning research team focusing on uncertainty quantification, safe, robust, and resilient artificial intelligence on the Internet of Battlefield Things Collaborative Research Alliance. -
Brian Jalaian speaks the following languages:
No languages available. -
Brian Jalaian has prior experience in the following industries:
U.S. Army CCDC Army Research Laboratory , Virginia Tech , U.S. Army CCDC Army Research Laboratory , U.S. Army CCDC Army Research Laboratory , Virginia Tech , National University of Singapore -
Brian Jalaian has the following professional experience:
DoD Chief Digital and Artificial Intelligence Office , U.S. Army CCDC Army Research Laboratory , DoD Joint Artificial Intelligence Center , Virginia Tech , Virginia Tech , U.S. Army CCDC Army Research Laboratory , U.S. Army CCDC Army Research Laboratory , Virginia Tech , National University of Singapore . -
You can view Brian Jalaian’s
LinkedIn profile at LinkedIn URL. -
Brian Jalaian’s work email addresses are
[email protected] . -
Brian Jalaian works at
DoD Chief Digital and Artificial Intelligence Office
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