Ya Ju Fan
Ya Ju Fan is a postdoctoral researcher in the Center for Applied Scientific Computing. Her research interests include optimization models and algorithms, data classification and clustering, and dimensionality reduction.
Ph.D. Industrial and Systems Engineering, Rutgers University, New Brunswick, NJ, 2010
M.S. Industrial Engineering, University of Wisconsin-Madison
B.B.A. Production & Operations Management, Fu Jen Catholic University, Taiwan
Ya-Ju Fan, and W. Art Chaovalitwongse, "Optimizing Feature Selection to Improve Medical Diagnosis". Annals of Operations Research on Data Mining, 174(1): 169-183, 2010.
W. Art Chaovalitwongse, Ya-Ju Fan, and Rajesh C. Sachdeo. "Novel Optimization Models for Abnormal Brain Activity Classification". Operations Research, 56(6): 1450-1460, December, 2008.
W. Art Chaovalitwongse, Ya-Ju Fan, and Rajesh C. Sachdeo. "On the Time Series K-Nearest Neighbor Classification of Abnormal Brain". IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 37(6): 1005-1016, November, 2007.
W. Art Chaovalitwongse, Ya-Ju Fan, and Rajesh C. Sachdeo. Support Feature Machine for Classification of Abnormal Brain Activity. The Thirteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (SIGKDD 2007), pp. 113-122.
Honors & Awards
- Pierskalla Best Paper Award, INFORMS Annual Meeting, Washington, D.C., October 2008.
- Transportation Coordinating Council / Federal Transit Administration (TCC/FTA) Fellowship, Fall 2007 and Spring 2008
- Kuhl Memorial Engineering Fellowship, Rutgers Graduate School, Fall 2006