Research Experiences
Postdoctoral Research Fellow (02/2008 – 02/2009)
Center for Intelligent Material Systems and Structures (CIMSS)
Dept. of Mechanical Engineering, Virginia Polytechnic Institute and State University
Director: Prof. Daniel J. Inman (dinman@vt.edu)
- Fatigue crack detection using nonlinear impedance features
- Multi-scale structural health monitoring incorporating vibration, impedance, and guided waves
- Structural damage detection using a DSP-based online guided wave generation/reception system
Adjunct Researcher (04/2008 – 06/2008)
Intelligent IT System Research Center
Korea Electronics Technology Institute
Director: Dr. Hyung-Su Lee (hslee@keti.re.kr)
- Developing a ubiquitous sensor network(USN)-based structural health diagnosis system
- Developing a USN-GIS (geographic information system)-based intelligent management/ monitoring system
for underground facilities
Visiting Scientist (06/2006 – 07/2006)
The Engineering Institute, Los Alamos National Laboratory
Director: Dr. Charles R. Farrar (farrar@lanl.gov)
- Developed an electro-mechanical impedance model for piezoelectric sensor self-diagnosis
Visiting Scholar (Supported by KRF-Internship Fellowship) (09/2005 – 08/2006)
Center for Intelligent Material Systems and Structures (CIMSS)
Dept. of Mechanical Engineering, Virginia Polytechnic Institute and State University
Director: Prof. Daniel J. Inman (dinman@vt.edu)
- Embedded an outlier analysis-based damage detection algorithm into a miniaturized impedance measuring chip
device
- Embedded a principal component analysis (PCA)-based data compression algorithm for wireless data transmission
into the active sensor node
- Applied a wireless digital signal processor (DSP) module to impedance measurements
- Incorporated impedance and guided waves-based damage detection techniques for real-time structural health
monitoring of railroads
- Performed numerical simulations for piezoelectric impedance measurements using ANSYS
Research Graduate Student (03/2002 – 01/2008)
Smart Infra-Structures Technology Center (SISTeC)
Dept. of Civil and Environmental Engineering, KAIST
Advisor/Director: Prof. Chung-Bang Yun (ycb@kaist.ac.kr)
- Developed piezoelectric active sensor network system to diagnose structural damage on the welded zone of a steel
truss bridge member
- Developed a wireless active sensor node for impedance-based structural health monitoring
- Developed temperature compensation techniques on piezoelectric impedance measurements
- Developed statistical pattern recognition tools including neural networks, support vector machine and outlier
analysis to detect and classify structural damages
- Incorporated PZT-induced Lamb waves and statistical pattern recognition tools (probabilistic neural network and
support vector machine) for on-line health monitoring
- Performed both experimental and analytical studies for impedance-based structural health monitoring of reinforced
concrete structures