معرفی
Joshua Fagan is a Teaching Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a BS in Computer Science with a double major in Mathematics from the University of Richmond (2014), an MS (2017), and a PhD (2022) in Computer Science from UT. His research focuses on Artificial Intelligence, Machine Learning, Robotics, and Human-Robot Collaboration, conducted during his PhD in the Distributed Intelligence Lab. He has also interned at the National Transportation Research Center and the Army Research Lab.
Education:
- PhD in Computer Science, University of Tennessee, Knoxville, 2022
- MS in Computer Science, University of Tennessee, Knoxville, 2017
- BS in Computer Science (double major in Mathematics), University of Richmond, 2014
Research Interests: Fagan’s work bridges machine learning and robotics, emphasizing human-robot collaboration. He explores applications in robotics systems and AI-driven solutions for real-world challenges. His projects at the National Transportation Research Center and Army Research Lab highlight his focus on applied robotics and intelligent systems.
Teaching Focus: He prioritizes innovative teaching methods for distance learning and hands-on projects to foster curiosity and creativity in students. He has taught courses in Computer Science and Engineering Fundamentals at UT.
Awards: None explicitly listed.
Advising & Grants: No specific grants or advising roles mentioned.
Labs & Affiliations: Formerly part of the Distributed Intelligence Lab (UT) and internships at National Transportation Research Center and Army Research Lab.
