Lin Yang is an assistant professor with the Division of Biomedical Informatics at Dept of Biostatistics, and Dept. of Computer Science at University of Kentucky. He leads the Biomedical Imaging Computing and Imaging Informatics (BICI2) Lab.
He received his B. E. and M. S. from Xian Jiaotong University in 1999 and 2002, and his Ph. D. in Dept. of Electrical and Computer Engineering from Rutgers, the State University of New Jersey in 2009 (http://www.ece.rutgers.edu/Alumni_in_Academia). He did part of his research in Siemens Corporate Research and IBM T. J. Watson Research Center in 2007 and 2008. He was an assistant professor in the Dept. of Radiology in University of Medicine and Dentistry of New Jersey and graduate faculty in the Dept. of Biomedical Engineering in Rutgers University from 2009-2011.
His major research interests are focus on biomedical image analysis, imaging informatics, computer vision, and machine learning. He is also working on high performance computing and computer aided diagnostics.
Spring 2013: Introduction to Biomedical Image Analysis and Imaging Informatics: for class flyer, please click here. For class website, please click here.
Fall 2013: Searching and Retrieval in Imaging Informatics: more information will come soon.
- 05/20/2013: Two papers from BICI2 are accepted into The 16th International Conference on Medical Image Computing and Computer Aided Intervention (MICCAI 2013). MICCAI is one of the leading conferences in biomedical image analysis.
04/01/2013: I will chair the Sixth International Workshop on High Performance Computing in Biomedical Image Analysis Associated with The 16th International Conference on Medical Image Computing and Computer Aided Intervention (HPC-MICCAI).
03/21/2013: I will serve as a guest editor for a special issue on International Journal on Biomedical Imaging (IJBI).
01/16/2013: Two papers from BICI2 are accepted into The 2013 International Symposium on Biomedical Imaging (ISBI).
01/01/2013: One paper from BICI2 is accepted into IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI).
Research assistant positions are available for self-motivated M. S/Ph. D students. Please click here.