Professor Emeritus - Lane Department of Computer Science and Electrical Engineering
Klinkhachorn is a professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University (WVU) and a specialist in the application of microprocessors and digital electronics to various types of sensor systems. He has an extensive hardware and software background in the instrumentation and control areas. His research interests lie in the application of single-chip microprocessors to control systems, data acquisition, treatment systems, various types of analytical sensors, and computer applications using neural networks and fuzzy logic. His recent sponsored research projects include Bridge Vibration Sensor System, the design and development of Automated Lumber Processing System, using neural networks in defect classification and recognition; development of diagnostics and monitoring techniques for Maglev guideway; development of a neural network-based system to classify Chest Radiographs; and design and development of field deployable instrumentation to monitor, diagnose, and maintain constructed facilities. Additionally, he has been involved in designing and developing field deployable analytical instrumentation to detect and identify volatile chemicals at toxic levels, designing and developing instrumentation and algorithms for the Utilities Power Research Consortium at Louisiana State University. These projects included a microprocessor-based Piezoelectric Quartz Microbalance System, a microprocessor-based temperature Programmed Microchip, High Resolution Gas Chromatograph/Mass Spectrometer, Digital Flicker Meter; Power System Parameters Estimator; and algorithms of Optimizing Power Factor with Source Harmonics Using LC Compensator.
Education
Ph.D., Electrical Engineering, West Virginia University, 1983
M.S., Electrical Engineering, West Virginia University, 1979
B.S., Electrical Engineering, First Class Honors, King Mongkut's Institute of Technology, Bangkok, Thailand, 1977