Brian Jalaian is a senior Artificial Intelligence (AI) research scientist at ARL and a adjunct assistant professor at Virginia Tech. He has obtained his Ph.D. from the Bradley Department of Electrical and Computer Engineering in 2016 at Virginia Tech. He has 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 is a subject matter expert on machine learning assurance, safety, and security. His research interests are the broad area of robust and resilient machine learning algorithms including uncertainty quantification, adversarial machine learning, test, evaluation, verification, and validation (TEV&V) of machine learning algorithms. Dr. Jalaian has experience on 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 in national laboratories. Particularly, he formed and led a machine learning research team focusing on uncertainty quantification, safe, robust, and resilient artificial intelligence on the Internet of Battlefield Things Collaborative Research Alliance, which has been very successful and contributed to several knowledge products and highlighted the importance of risk-aware artificial intelligence at U.S. national laboratories and government.
PhD in Electrical Engineering - Network Optimization, 2016
Virginia Tech
M.Sc. in Operation Research, 2014
Virginia Tech
M.Sc in Electrical Engineering - Communication Systems, 2013
Virginia Tech
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Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include: