Min Song, PhD, is an associate professor in the Department of Information Systems and co-director of the Informatics Research Laboratory at New Jersey Institute of Technology, where the goal of his research is discovery of knowledge from large natural language data such as blogs, doctor’s notes, and scientific publications. His research interests are in text mining, bioinfomatics, information retrieval and digital libraries.
Song received the outstanding service award from the International Conference on Information and Knowledge Management in 2009. His work received an honorable mention award in the 2006 Greater Philadelphia Bioinformatics Symposium and the Drexel Dissertation Award in 2005. In addition, the paper entitled “Extracting and Mining Protein-protein interaction Network from Biomedical Literature” has received the best paper award from 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, which was held in San Diego, Calif., on October 7-8, 2004.
He has published Handbook of Research on Text and Web Mining Technologies (2008), as well as five book chapters, 15 journals, and 40 conference papers.
Prior to joining NJIT, Song worked at Thomson Scientific (now Thomson Reuters) for more than eight years as a senior software engineer.
Song has received several grants from the National Science Foundation (NSF) and the Institute of Museum and Library Services (IMLS) on developing advanced Digital Libraries systems.
He received his PhD in Information Systems from Drexel University, an MS from Indiana University and a BA from Yonsei University in Korea.
Last update: August 16, 2011
Topics: text mining, information retrieval, bioinformatics, digital libraries