About
Dr. Nathan J. McNeese is the Associate Vice President for Technology & Innovation and the McQueen Quattlebaum Endowed Professor of Human-Centered Computing at Clemson University, where he also serves as the Founding Director of the Clemson University Center for Human-AI Interaction, Collaboration, & Teaming and the Team Research Analytics in Computational Environments (TRACE) Research Group. In his AVP role, he leads university-wide initiatives in artificial intelligence strategy, research, and innovation. He previously held the College of Engineering, Computing and Applied Sciences Dean’s Professorship at Clemson and received his Ph.D. in Information Sciences & Technology from The Pennsylvania State University.
Dr. McNeese's pioneering work in human-AI collaboration and teaming has been instrumental in advancing human-centered approaches to AI research and system development. He has served as PI or co-PI on more than 30 research grants and awards, generating over $41 million in sponsored funding, and is the recipient of the prestigious NSF CAREER Award. His work is supported by major federal agencies including NSF, AFOSR, ONR, and ARO, and he has provided consultation to organizations such as the U.S. military, the United Nations, and NATO, as well as international partners advancing human-centered AI. He serves as a National Academies of Sciences, Engineering, and Medicine (NASEM) board member on the Board on Human-Systems Integration (BOHSI) and is the recipient of Clemson University Researcher of the Year, the HFES William C. Howell Young Investigator Award, and Penn State IST’s Overall Outstanding Alumni Award, among other significant honors. His research has received nine best paper awards/nominations and has been published more than 200 times in leading human-computer interaction and human factors venues.
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How their research is transforming health care
Nathan McNeese’s research seeks to better understand teamwork in health care domains through studying health care teams in context and then developing human-centered collaborative technologies to support specific teamwork activities. He is particularly interested in studying the concepts of team cognition, artificial intelligence, and collaborative technology design and development.
Health Research Expertise Keywords
Faculty Scholar, Human-autonomy, AI teaming, teamwork, collaborative technology, human computer interaction, human factors, computer supported cooperative work, artificial intelligence
