Julie A. Adams

Dr. Julie A. Adams is Professor of Computer Science in the School of Electrical Engineering and Computer Science and courtesy Professor of Mechanical Engineering and Industrial Engineering at Oregon State University, serving as Associate Director of Research in the Collaborative Robotics and Intelligent Systems Institute. She founded the Human-Machine Teaming Laboratory (HMTLab) at Vanderbilt University before relocating it to Oregon State, where she has led research in human-machine teaming for nearly thirty years.

Dr. Adams received her M.S. and Ph.D. in Computer and Information Sciences from the University of Pennsylvania and her B.S. in Computer Science and B.B.E. in Accounting from Siena College. Her industry experience includes work on manned civilian/military aircraft at Honeywell, Inc. and commercial systems at Eastman Kodak Company.

Her research focuses on distributed artificial intelligence, swarms, and human-machine teaming across domains including first response, archaeology, oceanography, national airspace, and military applications. The HMTLab develops capabilities for humans working with complex systems through two core research elements: human interaction with systems and distributed artificial intelligence for unmanned vehicles.

Dr. Adams' work has been featured in National Geographic, Scientific American Podcast, Der Spiegel, and BBC online. She has received the NSF CAREER Award and served on the DARPA Computer Science Study Panel, while contributing to significant national reports on UUVs and UAV countermeasures.

• NSF CAREER Award recipient
• DARPA Computer Science Study Panel selection
• National Academies report contributor
• Army BAST report contributor
• FAA ASSURE Center of Excellence PI

Dr. Adams has advised numerous doctoral and master's students across Vanderbilt and Oregon State, currently supervising multiple Ph.D. candidates. Her laboratory supports ten major research initiatives including swarm infrastructure development, resilient teaming systems, biologically inspired algorithms, and unmanned aerial/marine vehicle autonomy with applications in disaster response and military operations.