Curriculum Vitae (PDF)

Xiaolei (Sharon) Huang

Assistant Professor

Computer Science & Engineering Department

Lehigh University

19 Memorial Drive West

Bethlehem, PA 18015

 

200A Packard Lab

huang AT cse.lehigh.edu

610-758-4818 (voice)

610-758-4096 (fax)

http://www.cse.lehigh.edu/~huang.

 

 

I am an assistant professor in the Computer Science and Engineering department at Lehigh University since Aug. 2006.  I am directing the Image Data emulation and Analysis (idea) lab.  From Aug. 2005 to Aug. 2006, I was a research scientist at Siemens Medical Solutions USA, Inc. at Malvern, PA.  I received the Ph.D. degree in Computer Science from Rutgers, the State University of New Jersey at New Brunswick, NJ, in 2006, the M.S. in computer Science also from Rutgers University in 2001, and the B.E. degree in Computer Science from Tsinghua University, China in 1999.

 

My research interests are in the areas of biomedical image analysis, computer vision, and computer graphics.  I focus on studying deformable (non-rigid) object modeling, segmentation, registration, tracking and recognition problems.  My broader interests include rich-content data (image and graphics) structuring and querying, physically-based modeling and simulation, machine learning, visual cognition, bioinformatics, and artificial intelligence.

 

I am also a computer scientist who is curious about how cell, human body, brain, and eye, function.  Hence I am always excited about developing robust image analysis methods and building working software systems that integrate algorithms with simple, efficient, application-specific designs to solve computational problems in biomedicine.  In particular, I work toward robust medical imaging software that aid medical doctors in accurate and reproducible diagnosis, and to better understand the basic anatomical and physiological relationships in normal and diseased states.  I develop image processing and analysis software for analyzing biological images to help biologists and biophysicists in understanding and modeling complex biological pathways and systems.  I am also interested in creating intelligent vision systems that are capable of learning effectively and reasoning about multiple sources of information in order to achieve functions typical of human vision.