People
Principal Investigator
Ph.D. Students
Mason Ma
Mason is studying human-AI teaming approach for modeling, control, diagnosis, and metrology of nonlinear dynamics in hybrid manufacturing in collaboration with NSF ERC-HAMMER and AI TENNessee Initiative.
M.S., Industrial Engineering, University of Wisconsin-Madison
M.S., Management Science and Engineering, Peking University
B.S., Automation, Tsinghua University
Email: hma19@vols.utk.edu
Alisa Ren
Alisa is studying interpretable and robust machine learning for uncovering the governing equations of nonlinear dynamic systems with highly nosie data in collaboration with SEAMTN and AI TENNessee Initiative.
B.S., Financial Mathematics and Statistics, University of California Santa Barbara
Email: mren5@vols.utk.edu
Jiajie Wu
Jiajie is studying modeling, control, and optimization for additive friction stir deposition based hybrid manufacturing in collaboration with NSF ERC-HAMMER and AI TENNessee Initiative.
M.S., Business Analytics, University of Nottingham
B.S., Pure and Applied Mathematics, Jinan University
Email: jwu71@vols,utk.edu
Abir Ray
Abir is studying system-driven AI methods for the fundamental research in spectrum management, systems science and engineering, and human-AI teaming.
D. Eng., Cybersecurity Analytics, George Washington University
M.A., Software Engineering, Harvard University
M.Eng., Systems Engineering, Cornell University
B.A., Interdisciplinary Study, University of Virginia
Email: aray49@vols.utk.edu
Andrew Strick
Andrew is studying human-AI teaming for human skill learning, manufacturing workforce development, and scientific coaching to improve human learning behavior and performance in collaboration with AI TENNessee Initiative and NSF ERC-HAMMER.
Ph.D., Kinesiology (Sports Psychology and Motor Behavior), University of Tennessee, Knoxville
M.S., Kinesiology (Sports Psychology and Motor Behavior), University of Tennessee, Knoxville
B.S., Sports Medicine, Pepperdine University
Email: astrick@vols.utk.edu
Alumni
Chase Post
Chase studied machine learning for manufacturing as an Undergraduate Research Assistant of SAIL, Fall 2022 - Spring 2024.
Franklin Zhang
Franklin studied interpretable machine learning method for modeling dynamic systems with control as an Undergraduate Research Assistant of SAIL, Fall 2022 - Spring 2023.
Joined Mathematics and Computer Science Department at University of Illinois Urbana-Champaign
Sarah Von Hollen
Sarah studied data-driven method for milling dynamics as an Undergraduate Research Assistant of SAIL, Spring 2022.