Siyuan Chen
Dr. Siyuan Chen joined the Communications Engineering Branch of U.S. National Library of Medicine as a postdoctoral fellow since December 2006. He works with Dr. Song Mao on the project of the System for Preservation of Electronic Resources (SPER) for metadata extraction from historical documents.

Dr. Chen earned his M.S. and Ph.D. degrees in Electrical Engineering from the State University of New York at Buffalo in 2003 and 2006, respectively. He earned his bachelor degree in Electrical Engineering from the Dalian University of Technology, China, in 2000. His research interests include handwriting recognition, document image analysis and various topics on pattern recognition and machine learning.

Xiaoli Zhang
Dr. Xiaoli Zhang joined the Communications Engineering Branch of U.S. National Library of Medicine at the National Institutes of Health as a postdoctoral fellow in February 2008. Currently she is working with Dr. Daniel Le on the project of Publisher Data Review (PDR) system to assist automatic extraction of bibliographic data from Web-based online medical articles.

Dr. Zhang received the M.E. degree in Applied Mathematics and the Ph.D. degree in Electrical Engineering both from Rensselaer Polytechnic Institute in 2007, and the B.E. degree in Electrical Engineering from Hefei University of Technology, China, in 1993. Her research interests are in optical character recognition, document analysis and understanding, machine learning, image processing and computer vision.

Emilia Apostolova
I am a PhD Student in Computer Science at De Paul University, Chicago, interested mainly in linguistics and natural language processing. I make my living as a software engineer and do enjoy my profession occasionally. Currently I am working with Dr. Sameer Antani and Dr. Dina Demner Fushman on content based medical image retrieval, and more specifically on the natural language processing tasks of mention extraction and the use of image caption information and discourse structure for image annotation and classification. --- "Thinking doesn't seem to help very much.", Kurt Vonnegut

Wen Cheng
PhD candidate, Computer Science and Engineering Department, Lehigh University. In this summer, I am working with Dr. Glenn Pearson, Michael Gill and Dr. George Thoma on the Nursing Home Screener project, which is an interesting project. My current tasks include detecting reliable hyperlinks to maps of Microsoft Live Map's (Bing) Aerial view of nursing homes and further to go to Live Map's (Bing) birds-eye view of nursing homes, which may require image processing to locate large building structures. My research interests include bioinformatics document image analysis and image processing.

Haiying Guan
Haiying Guan joined the Communications Engineering Branch, the Lister Hill National Center for Biomedical Communications at the National Library of Medicine (NLM) as a postdoctoral fellow in April 2008. She works with Dr. Sameer Antani on multiple imaging projects. Her work mainly focuses on learning-based retrieval algorithms for Content-based Image Retrieval, and Image and Text Integration (ITI).

Dr. Guan earned her Ph.D. degrees in Computer Science from University of California, Santa Barbara, in 2007. She received the M.S.degree from Nanyang Technological University, Singapore, in 2000, and her bachelor's degree in Beijing Jiaotong University, Beijing, China, in 1994, respectively. Her research interests include computer vision and image understanding, medical image processing, machine learning, pattern recognition, intelligent user interface, and human computer interaction.

Daekeun You
I am a Ph.D. student in the Department of Computer Science and Engineering, The State University of New York at Buffalo. This summer I am working with Dr. Sameer Antani on the image and text integration(ITI) project. My task for the project is localizing and recognizing commonly found symbols and text on figure images in articles. Then I will use the region of interest referred by the symbol (such as an arrow) and correlate it with the text in the figure caption and discussion in the article to improve article retrieval by combination of image feature similarity and text feature similarity. My research interests are in pattern recognition, machine learning, image processing, and document image analysis.

Tian Shen
I am currently a PhD student in the Department of Computer Science and Engineering, Lehigh University. My research areas are pattern recognition, medical image processing and computer graphics. I received the BS and MS degree from Xidian University in China. At NLM, as a summer intern, I am working with Dr. Sameer Antani and Glenn Ford on IP (Interactive Publication) project.