Johné M. Parker, Ph.D.

Associate Professor

Research Areas: , ,

University of Kentucky, College of Engineering
Mechanical Engineering - ME
175 RGAN
Lexington, KY 40506-0503
Phone: 859-257-6336x80647
Fax: 859-257-3304
Email: jparker@engr.uky.edu


Professional Preparation

Ph.D., Mechanical Engineering, Georgia Institute of Technology
M.S., Mechanical Engineering, Georgia Institute of Technology
B.S., Mechanical Engineering, Georgia Institute of Technology

Appointments

2002 – present Associate Professor, Department of Mechanical Engineering, University of Kentucky

2005 – 2006 AAAS/ASME Congressional Fellow (Office of Senator Byron Dorgan, D-ND)

1996 – 2002 Assistant Professor, Department of Mechanical Engineering, University of Kentucky

1996 Woodruff Teaching Fellow, Georgia Institute of Technology

1995 ASME Graduate Teaching Fellow, Georgia Institute of Technology

1990 – 1995 Research/Teaching Assistant, Georgia Institute of Technology

1987 – 1990 Process/Project Engineer, Mobil Chemical Company

1985 – 1987 Engineer/Assoc. Production Engineer, Shell Western Exploration & Production, Inc.

1984 Summer Professional Engineer, Shell Western Exploration & Production, Inc.

1983 Field Engineer, Shell Western Exploration & Production, Inc.

Publications

  1. Gnanaprakasam, P., Parker, J., Ganapathiraman, S. and Hou, Z., 2008, “Efficient 3-D Characterization of Raised Topological Defects in smooth Specular Coatings,” Image and Vision Computing, Volume 27, Issue 4, Pages 319-330.
  2. Hou, Z., Li, J., and Parker, J., 2005, “Real-Time Automated Visual Inspection of Fabric Inhomogeneities,” Proceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM ’05), Monterey, California, July 2005.
  3. Parker, J. M. and Hou, Z. (2002), A Numerical Investigation of Diffuse Images for Effective Defect Detection, Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, Vol. 216, No. 7, 1073 – 1079.
  4. Parker, J. M. (2001), A Robust Machine Vision System Design to Facilitate Effective Surface Appearance Automation, Invited Paper on Motion and Imaging, Proceedings of the 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM ’01), Como, Italy, July, CD Edition, pp. 87-92.
  5. Lai, T. and Parker, J. M. (2000), “Vision System Design for Automated Quality Control of Specular Painted Surfaces,” Mechatronics and Machine Vision, John Billingsley, ed., Research Studies Press.
  6. Parker, J. M. and Lee, K. M. (1999), Physically Accurate Synthetic Images for Machine Vision System Design, ASME Trans. Journal of Engineering for Industry, Vol. 121, No. 4, pp. 763-770.