Dr. Dan Ding received her PhD in 2001 in mechanical and automation engineering from the Chinese University of Hong Kong in China. She joined the Human Engineering Research Laboratories in the Pittsburgh VA Health System as a research scientist in November 2001 and began a three year postdoctoral fellowship in rehabilitation engineering at the University of Pittsburgh in the same year. She is now an assistant professor at the University in the Department of Rehabilitation Science and Technology. Dr. Ding’s research interests include assistive device instrumentation and monitoring, modeling and test evaluation of wheelchairs, rehabilitation robotics, and virtual reality.
Dr. Ding has published more than 30 papers in refereed professional journals and international conference proceedings. She is a senior member of the Society of Instrumentation, Systems and Automation (ISA), a member of the Institute of Electrical and Electronics Engineers (IEEE), and a member of the Rehabilitation Engineering and Assistive Society of North America (RESNA).
Dr. Ding is the recipient of several awards and honors including a 2005 research fellowship award from the Paralyzed Veterans of America and a 2004 Switzer fellowship award from the Department of Education and the National Institute of Disability Research and Rehabilitation.
Selected Publications:
Dan Ding, and R.A. Cooper, “A review of the current state of electric powered wheelchairs,” IEEE Control Systems Magazine, vol. 25 no. 2, pp. 22-34, 2005.
R.A. Cooper, Dan Ding, R. Simpson, S. Fitzgerald, and etc. “Virtual reality and computer enhanced training applied to wheeled mobility: an overview of work in Pittsburgh”, Assistive Technology, 2005
Dan Ding, R.A. Cooper, S.F. Guo, T.A. Corfman, “Analysis of driving backwards in an electric-powered wheelchair,” IEEE Transactions on Control Systems Technology, Vol. 12, No. 6, pp. 934-943, 2004.
Y.H. Liu, M.L. Lam, and Dan Ding, “A complete and efficient algorithm for searching 3-D form-closure grasps in discrete domain”, IEEE Transactions on Robotics, Vol. 20, No. 5, pp. 805-816, 2004.
Y. H. Liu, Dan Ding, M. L. Lam, “3-D Grasp Analysis and Synthesis using the Ray-Shooting Technique,” in Robotics Welding, Intelligence and Automation, Lecture notes in control and information sciences, pp. 80-109, 2004, Springer-Verlag Press.
Dan Ding, R.A. Cooper, B.A. Kamniski, J.R. Kanaly, A. Allegretti, E. Chaves, and S. Hubbard, “Integrated control of assistive devices and related technology,” Assistive Technology, vol. 15, pp. 89-97, 2003.
S.F. Guo, R.A. Cooper, T.A. Corfman, and Dan Ding, “Influence of wheelchair front caster wheel on the reverse driving stability”, Assistive Technology, vol. 15, pp. 98-104, 2003.
Dan Ding, Y.H. Liu, M.Y. Wang, S.G. Wang, “Automatic selection of fixturing surfaces and fixturing points for polyhedral workpieces”,IEEE Transactions on Robotics and Automation, Vol. 17, No. 6, pp. 833-841, 2001.
Dan Ding, Y.H. Liu, S.G. Wang, “Computation of 3D form-closure grasps”, IEEE Transactions on Robotics and Automation, Vol. 17, No. 4, pp. 515-522, 2001.
Dan Ding, Y.H. Liu, S.G. Wang, “The synthesis of 3D form-closure grasps”, Robotica, Vol. 18, No. 1, pp. 51-58, 2000, Cambridge University Press.
CONTACT INFORMATION
Dr. Dan Ding
Phone: (412) 365-4885
Email: dad5@pitt.edu