Brian Jalaian

Dr. Brian Jalaian is an Associate Professor in the Department of Intelligent Systems and Robotics at the University of West Florida, part of the Hal Marcus College of Science and Engineering. He is also a research scientist at the Institute for Human-Machine Cognition (IHMC), blending academic and applied research in artificial intelligence. His work is deeply rooted in robust, safe, and resilient AI systems with applications in defense and complex real-world environments.

Education:

• Ph.D. in Electrical Engineering, Virginia Tech
• M.S. in Industrial Systems Engineering, Virginia Tech
• M.S. in Electrical Engineering (Communication & Network Systems), Virginia Tech

Dr. Jalaian's research focuses on advancing the reliability and trustworthiness of AI systems. Key areas include robust machine learning, uncertainty quantification, adversarial machine learning, neuro-symbolic AI, and Bayesian deep learning. His work aims to develop AI systems that are not only powerful but also safe, explainable, and resilient to real-world uncertainties and attacks. He has led cross-functional teams at the Army Research Laboratory and the Department of Defense’s Joint Artificial Intelligence Center, contributing to foundational knowledge in risk-aware AI.

His research has been published in top-tier conferences such as NeurIPS, ICML, AAAI, and in prestigious IEEE journals, highlighting the impact and rigor of his contributions. While specific publications are not listed, the breadth of his research suggests a strong emphasis on both theoretical and applied aspects of machine learning and AI assurance.

Scientific Awards:

Dr. Jalaian has extensive experience in leading research initiatives and interdisciplinary teams. He previously served as the AI Test & Evaluation Tools Lead at the DoD Joint Artificial Intelligence Center (now CDAO) and led critical research on AI robustness at the Army Research Laboratory. His leadership has driven innovation in the Internet of Battlefield Things Collaborative Research Alliance, resulting in multiple knowledge products and influencing DoD priorities in trustworthy AI. Although specific grants are not mentioned, his government affiliations indicate significant funding and project leadership.

He is affiliated with the Institute for Human-Machine Cognition (IHMC), a leading research institute in human-centered AI and robotics, further enhancing his research ecosystem and collaborative opportunities.