Examining how and when designers use prototypes in the development cycle, and how prototypes assist during stakeholder interactions, identification of user requirements, verification of goals and their overall contribution to a successful project outcome.LEARN MORE
Passengers in autonomous vehicles are more likely to feel symptoms of motion sickness than in other forms of public transportation. Our study culminates with the development of methodologies for mitigating motion sickness, informing the future design of autonomous vehicles.LEARN MORE
Barone, V. J., Yuen, M. C., Kramer-Bottiglio, R., Sienko, K. H., “Sensory garments with vibrotactile feedback for monitoring and informing seated posture”, Proceedings of 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft), April 14-18, 2019, COEX, Seoul, Korea, accepted.
I am an Associate Professor in the Departments of Mechanical and Biomedical Engineering and the director of the Sienko Research Group. My research focuses on the design, development, and evaluation of medical devices; design science; and engineering education. I have led efforts at the University of Michigan to incorporate the constraints of global health technologies within engineering design at the undergraduate and graduate levels, and have established field sites in sub-Saharan Africa and Asia at which numerous devices have been conceptualized and refined in collaboration with local stakeholders. I am the recipient of a National Science Foundation CAREER Award, and I hold a doctoral degree (Ph.D. 2007) in Medical Engineering and Bioastronautics from the Harvard-MIT Division of Health Sciences and Technology (HST) program, an S.M. (2000) in Aeronautics & Astronautics from MIT, and a B.S. (1998) in Materials Engineering from the University of Kentucky.
My research interests include biomechanics, rehabilitation and injury prevention. My research aims to develop a data-driven approach to identify and characterize gait abnormalities for people with vestibular disorders, in order to inform the development of effective rehabilitation technologies. I am currently a Ph.D. pre-candidate in Mechanical Engineering at the University of Michigan. I received my Bachelor of Science degree in Mechanical Engineering with a concentration in Controls, Instrumentation, and Robotics (CIT) from the Massachusetts Institute of Technology (MIT).
My research interests include medical devices, biomechanics, sensory feedback, and utilizing machine learning techniques to inform methods promoting rehabilitation and health. At the moment, I am a PhD pre-candidate in Mechanical Engineering. I also received a Bachelor of Science degree in Mechanical Engineering from the University of California, Berkeley.