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Megan Reissman

Associate Professor

Full-Time Faculty

School of Engineering: Department of Mechanical and Aerospace Engineering

Contact

Email: Megan Reissman
Phone: 937-229-5332
Kettering Laboratories Room 361 G

Selected Publications

  • Reissman, M., Gordon, K., & Dhaher, Y. (2018). Manipulating post-stroke gait: Exploiting aberrant kinematics. Journal of Biomechanics. (in print)
  • Reissman, M., & Reissman, T. (2017). Scaffold approach to teaching experimentation. Proceedings of ASEE Annual Conference and Exposition.
  • Reissman, M., Kinney A., & Hallinan, K. (2017). A capstone engineering modeling course for developing creative problem-solving. Proceedings of ASEE Annual Conference and Exposition.
  • Reissman, M., & Dhaher, Y. (2015). A functional tracking task to assess frontal plane motor control in post stroke gait. Journal of Biomechanics, 48(10), 1782-1788.
  • Reissman, M., & Dhaher, Y. (2014). Evaluating post stroke margins of stability in a step width modification task. Proceedings of Seventh World Congress of Biomechanics.
  • Malone, E., & Berry, (Reissman) M., & Lipson, H. (2008). freeform fabrication and characterization of Zn‐air batteries. Rapid Prototyping Journal, 14(3), 128-140.
  • Berry, (Reissman) M., & Garcia E. (2008). Bio-inspired shape memory alloy actuated hexapod robot. Proceedings of SPIE Active and Passive Smart Structures and Integrated Systems Symposium.

Selected Honors and Awards

  • Kern Entrepreneurial Engineering Network Faculty Fellow, University of Dayton, 2017
  • Sarah Baskin Award for Excellence in Rehabilitation Research, Rehabilitation Institute of Chicago, 2014
  • Searle Center Teaching Assistant Fellow, Northwestern University, 2012

Degrees

  • Ph.D., Mechanical Engineering, Northwestern University
  • M.Eng., Mechanical Engineering, Cornell University
  • B.S., Mechanical Engineering, Cornell University

Courses Taught

  • Engineering Experimentation MEE 341
  • Engineering Analysis MEE 460
  • Multidisciplinary Design II MEE 432L

Research Interests

My research focus is on understanding and improving the movement abilities of people with impairments using experimental biomechanics methods. I seek to develop devices that generate targeted challenges particularly for walking and balance and that provide visual feedback using standard and virtual reality headset displays. My recent work has focused on the advancement of methods to identify underlying impairments in movement ability, to improve abnormal movement patterns through challenge-induced learning and to investigate biomechanics outside the laboratory through the integration of custom smart technology into personal devices.