Overview

Intelligent Systems Research Group in the Department of Mechanical Engineering started in the February of 1999 with activities expanding rapidly into the present wide range from biomedical engineering research into the industrial monitoring and control system design. Generally speaking, the major research interests of the group include:

Basic Research:
Fuzzy Logic, Neural Network and Genetic Algorithms
Neuro-Fuzzy System and Genetic-Fuzzy System
Supervisory Hierarchical System
Bio-signal Processing

Applied Research:
Fuzzy Logic, Neural Network and Genetic Algorithms in Anaesthesia, Pain analysis and Control, Neurosurgical intensive @care unit.
Intelligent Analyses of EEG signals and Vital Signs for Medical Automation
Research & Development of a monitoring system for automobile operations using EEG signals
Research & Development of a Patient Simulator
Quantitative and Qualitative analysis in Human Performance
Quantitative and Qualitative analysis in the Mind/Body energy
Supervisory Hierarchical Monitoring and Control the Printed Circuit Board (PCB) plant

The Intelligent Systems Research Group comprises:
Head of the Group: Prof. J.S. Shieh
Research Students: