معرفی
John Salmon is an Associate Professor in the Mechanical Engineering department at Brigham Young University's College of Engineering. He holds a B.S. and M.S. in Electrical Engineering from the University of Calgary and Utah State University respectively, followed by an M.S. and Ph.D. in Aerospace Engineering from Georgia Institute of Technology. Prior to his academic career, he worked for four years as a Research Engineer at the Aerospace Systems Design Laboratory collaborating with industry and government partners including NASA, Lockheed Martin, and General Electric.
His research spans multiple interdisciplinary domains including: systems engineering and design integration, multi-disciplinary optimization, operations research, visual and data analytics, modeling/simulation, multi-agent decision making, sports analytics, virtual reality, and uncertainty analysis. Current projects include the Good Idea or Bad Idea initiative exploring innovative engineering solutions.
Analysis of his recent publications reveals strong focus on three primary clusters: (1) Human-robot collaboration and soft robotics control strategies, (2) Optimization techniques for autonomous aerial systems, and (3) Data-driven sports analytics frameworks. His work consistently combines theoretical modeling with practical applications in aerospace, robotics, and sports engineering.
Dr. Salmon maintains an active advising program with 4 current MS students (Jonathan Sadler, Carsten Christensen, Landon Willey, Ryan Day) and 10 graduated advisees since 2016. He teaches core mechanical engineering courses including ME 273 (Scientific Computing), ME 335 (Dynamic Systems), ME 578 (CAD/CAM), and ME 579 (Global Product Development).
