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2005 Graduate Catalog and 2004 Annual R & D Report - Sirindhorn ...

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<strong>2005</strong> <strong>Graduate</strong> <strong>Catalog</strong> <strong>and</strong> <strong>2004</strong> <strong>Annual</strong> R & D <strong>Report</strong><br />

<strong>Sirindhorn</strong> International Institute of Technology (SIIT)<br />

Computational Intelligence Approaches for<br />

Automated Inspection<br />

For complex forms, the deviation models are highly<br />

nonlinear <strong>and</strong> they may not be differentiable. This<br />

may result in impracticality of gradient-based<br />

nonlinear optimization approaches. Computational<br />

Intelligence approaches are taken into consideration<br />

as alternatives to find minimum zone verification. The<br />

form tolerances algorithms are developed by utilizing<br />

the advantages of these approaches. In addition,<br />

they can be incorporated with CMM controller<br />

software for automated parts inspection.<br />

Dr. George Przybyl-Einstein<br />

Assistant Professor<br />

B.Sc. Mechanical Engineering, College of Engineering, Bydgoszcz, Pol<strong>and</strong><br />

M. Science in Techniques, University of Cracow, Cracow, Pol<strong>and</strong><br />

Ph.D. in Algorithmic Method of Problem Solving, University of Warsaw, Pol<strong>and</strong><br />

Areas of Specialization: Dynamic stress analysis. Robots for industry, medicine <strong>and</strong> space station. Biomedical<br />

instruments for treatment of blood borne diseases <strong>and</strong> abdomen tumors.<br />

Research Interests:<br />

Biomedical Instrumentation<br />

Biomedical instruments & matrix treatment of blood<br />

borne diseases that create vaccine effect <strong>and</strong><br />

stimulate the immune system. Abdomen tumor<br />

treatment instrumentation.<br />

Robotics <strong>and</strong> Mechatronics<br />

Safety alternative solutions versus mechanical or<br />

computer failure of real-time embedded systems.<br />

Environmental robots. Bio-defense robots. Massage<br />

robots. Hospital robots. Space robots for assembly of<br />

solar power stations. Module robots for wheelchairs.<br />

Displacement analysis of spherical joints.<br />

Stress Analysis of Dynamic Systems<br />

Dynamic stress analysis of vessels <strong>and</strong> sailboats<br />

during stormy weather. Dynamic stress analysis of<br />

machinery, aircraft <strong>and</strong> automobiles.<br />

Heuristic <strong>and</strong> Algorithmic Methods<br />

Heuristic <strong>and</strong> algorithmic approach in design <strong>and</strong><br />

innovation.<br />

Dr. Karndee Prichanont<br />

Lecturer<br />

B.Eng. in Industrial Engineering, <strong>Sirindhorn</strong> International Institute of Technology, Thail<strong>and</strong><br />

M.S. in Industrial Engineering, University of Wisconsin-Madison, USA<br />

Ph.D. in Industrial Engineering, University of Wisconsin-Madison, USA<br />

Areas of Specialization: Simulation Modeling, Production <strong>and</strong> Operations Management, Quality <strong>and</strong><br />

Productivity Improvement Measurement, Cost Data for Decision Making.<br />

Research Interests:<br />

Allocation of Heterogenous Workplace<br />

AS the product life cycle becomes shorter, the<br />

production shop floor must be able to effectively<br />

operate <strong>and</strong> switch among different types of products.<br />

Therefore, many organizations are moving toward<br />

greater flexibility in all stages of production in order to<br />

provide customers with greater product variety in less<br />

time. Creating a flexible workforce is one response to<br />

form a flexible organization to meet these market<br />

challenges. However, workers tend to be<br />

heterogeneous according to their productivity levels.<br />

Worker heterogeneity can significantly affact group<br />

performance particularly when workers perform<br />

sequential tasks. The research focuses on how to<br />

select, assign, <strong>and</strong> schedule workers in order to<br />

optimize system efficiency.<br />

Quality Improvements<br />

It is widely recognized that quality is fundamental to<br />

achieving long-term success. A renewed focus on<br />

customers <strong>and</strong> processes sets the stage for<br />

continuous improvement for industry, government,<br />

educational institutions, healthcare, <strong>and</strong> businesses.<br />

All have benefited from higher quality <strong>and</strong> productivity<br />

as well as reduced time <strong>and</strong> cost to develop, produce,<br />

<strong>and</strong> deliver products <strong>and</strong> services. Data-based total<br />

quality methods are the catalyst to help people<br />

achieve these benefits. The research focuses on<br />

designing industrial experiments. This field covers<br />

statistically based quality improvement methods<br />

useful in industrial settings; observational methods<br />

<strong>and</strong> design of experiments; experimentation to<br />

discover influential factors <strong>and</strong> to analyze sources of<br />

variation; <strong>and</strong> robust products.<br />

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