Matthew Marshall
Associate Dean
Matthew Marshall
Associate Dean
Education
BS, Rochester Institute of Technology; MS, Ph.D., University of Michigan
Bio
Dr. Matthew Marshall received his B.S. Industrial and Manufacturing Engineering and M.S. in Industrial and Operations Engineering from the Rochester Institute of Technology, and his Ph.D. in Industrial and Operations Engineering from the University of Michigan. He joined the Industrial and Systems Engineering faculty in 2001. His teaching and research focus on integrating people into systems. He teaches courses in the areas of Human Factors, Ergonomics, Biomechanics, and Safety Engineering.
Dr. Marshall’s research involves the evaluation of upper extremity biomechanics. He collaborates frequently with industry to address a wide range of applied ergonomic problems. In addition, he conducts research on the biomechanics of sign language interpreting in order to understand how to minimize the likelihood of interpreters developing musculoskeletal disorders. He has also received funding from National Science Foundation to develop an approach for improving problem solving skills among students who are deaf or hard of hearing. His work has appeared in Ergonomics, Human Factors, Applied Ergonomics, and WORK. He collaborates frequently with industry to address a wide range of applied ergonomic problems, and his work has been supported by both OSHA and the NY State Department of Labor.
Selected Recent Publications and Presentations
Grieshaber, C.G., Marshall, M.M., and Fuller, T.J. (2012). “Symptoms of musculoskeletal disorders among tattoo artists,” Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 56(1), 1158-1162.
Fischer, S., Marshall, M., and Woodcock, K. (2012). “Musculoskeletal disorders in sign language interpreters: A systematic review and conceptual model of musculoskeletal disorder development,” WORK: A Journal of Prevention, Assessment and Rehabilitation, 42(2), 173-184.
Lux, M.M., Marshall, M.M., Ertak, E., and Joseph, J.V. (2010). “Ergonomic Evaluation and Guidelines for Use of the Da Vinci Robot System,” Journal of Endourology, 24(3), 371-375.
Marshall, M.M., Lux, M.M., and Joseph, J.V. (2010). “Anthropometric assessment of the Da Vinci surgical robot,” Proceedings from the Human Factors and Ergonomics Society Annual Meeting, 54(12), 899-903.