School of Engineering

Lin-Ching Chang, D.Sc.

Assistant Professor
Electrical Engineering and Computer Science
202-319-4691 phone
202-319-5195 fax
changl@cua.edu


Education
B.Sc., Information and Computer Engineering, Chung-Yuan Christian University, Taiwan, 1991
M.Sc., Computer Science, George Washington University, 1993
D.Sc., Computer Science, George Washington University, 1998

Biography
Lin-Ching Chang's research interests include medical informatics, modeling and simulation, pattern recognition, combinatorial design, information retrial, parallel processing, and telecommunication applications. During her career at the National Institutes of Health (NIH), she was working on several computational neuroscience projects focusing on quantitative image analysis of diffusion tensor magnetic resonance imaging (DT-MRI) data. She was associated with the NIH pediatric neuroimaging project, a study to learn the brain development in normal healthy children and adolescents using MRI technique. Prior to joining the NIH, she has worked at 3Com Corporation for four years as a senior software engineer. She acted on several commercial telecommunication projects including 3Com's Unified Messaging System, data migration between different database systems, and data encryption. She also initiated and leaded several projects at 3Com including an interactive voice response system, short message service, and wireless applications using various communication protocols.

Representative Publications

Walker L, Chang L-C, Sharma N, Cohen L, Verma R, Pierpaoli C, Effects of Physiological Noise in Population Analysis of Diffusion Tensor MRI data, NeuroImage 2010 (in press)

Chang L-C, Koay CG, Basser PJ, Pierpaolo C, A Linear Least Squares Method for Unbiased Estimation of T1 from SPGR Signals, Magnetic Resonance in Medicine 60:496–501, 2008.

Koay CG, Nevo U, Chang L-C, Pierpaoli C and Basser PJ. The elliptical cone of uncertainty and its normalized measures in diffusion tensor imaging. IEEE Transaction on Medical Imaging 27(6): 834-846, 2008.

Freidlin RZ, Özarslan E, Komlosh ME, Chang L-C, Koay CG, Jones DK and Basser PJ. Parsimonious model selection for tissue segmentation and classification applications: A study using simulated and experimental DTI data. IEEE Transaction on Medical Imaging 26(11): 1576-1584, 2007.

Koay CG, Chang L-C, Pierpaoli C, Basser PJ, Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations, IEEE Transaction on Medical Imaging 26(8):1017-1034,2007.

Chang L-C, Koay CG, Pierpaoli C, Basser PJ, The Variance of DTI-derived Parameters via First-Order Perturbation Methods Magnetic Resonance in Medicine 57:141-149, 2007.

Koay CG, Chang L-C, Perpaoli C, Basser PJ, A Unifying Theoretical and Algorithm Framework for Least Square MEthods Magnetic Resonance in Medicine 57:141-149, 2007.

Assaf Y, Ben-Sira L, Constantini S, Chang L-C, Beni-Adani L, Diffusion Tensor Imaging in Hydrocephalus Initial Experience, AJNR Am J Neuroradial 27:1717-1724,2006.

Chang L-C, Jones DK and Pierpaoli C, RESTORE:Robust estimation of tensors by outlier rejection. Magnetic Resonance in Medicine 53:1088-95, 2005.

Website
http://eecs.cua.edu/Research/CompInfomatics/index.cfm