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 Song Mao on the project of the System for Preservation of Electronic Resources (SPER) for metadata extraction from historical documents.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.

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 project. 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.

Md Mahmudur Rahman
Md Mahmudur Rahman received the PhD in Computer Science in May 2008 from Concordia University, Montreal, Canada with an emphasis on Medical informatics and Image Retrieval and the M.Sc. degree in Computer Science from California State Polytechnic University, Pomona, California, USA in 2002. In the dissertation, he has proposed and developed new approaches to perform semantic search in natural photographs and medical image databases based on data mining, machine learning, query expansion, and interactive data fusion techniques.

After obtaining the PhD, he was working as a Post Doctoral Research Fellow in Concordia Institute for Information Systems Engineering (CIISE) of Concordia University. During that time he has developed an image retrieval and expert fusion-based decision support system for automated melanoma recognition of dermoscopic images of pigmented skin lesions. Over the course his doctoral and post-doctoral research, he has published articles in journals, such as IEEE Transaction on Information Technology in Biomedicine, Computerized Medical Imaging and Graphics and presented his works in conferences and workshops, such as ICPR, CBMS, BIBE, etc. His current research interests include multi-modal information retrieval, medical image annotation and retrieval, statistical and interactive learning in multimedia systems and digital libraries.