Klinkhachorn, Powsiri
Professor - Lane Department of Computer Science and Electrical Engineering; Constructed Facilities Center
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
Dr. 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.
Research Interests
Mini/Micro Computer-Based ApplicationsComputer Hardware/Software Development
Neural Networks
Fuzzy Logic
Computer Architecture
Binary and Non-Binary Logic Design
Teaching Interests
Microcomputer and InterfacingDigital Logic Design (Basic/Advanced)
Neural Networks
Fuzzy Logic