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In Cheol
Senior System Analyst
Phone Number: (
Expertise and Research Interests: 

Dr. In Cheol Kim has been working at the Lister Hill National Center for Biomedical Communications (LHNCBC), U.S. National Library of Medicine, Bethesda, Maryland since 2004. He has a PhD in Information Processing Engineering from the Kyungpook National University, South Korea (2001). His previous experience includes two years as a postdoctoral researcher at the Concordia University, Montreal, Canada. In addition, he worked as a senior system engineer for more than five years in an industrial research lab. Dr. Kim’s research interests are Web-based document analysis and processing, pattern recognition and classification, machine learning, and multi-modal human computer interaction.

Honors and Awards: 

Dr. In Cheol  Kim received NLM’s Special Act or Service Group Award in 2012.

Publications/Tools by In Cheol Kim: 
Kim IC, Le DX, Thoma GR. Identification of "comment-on sentences" in online biomedical documents using support vector machines. Proc. SPIE conference on Document Recognition and Retrieval, 6500:65000O (1-8), San Jose, January 2007.
Kim I, Le DX, Thoma GR. Automated Cleanup Processing for Extracting Bibliographic Data from Biomedical Online Journals In: Callaos N, Lesso W, editors. SCI 2005. Proc. 9th World Multiconference on Systemics, Cybernetics and Informatics; 2005 Jul 10-13; Vol. 4; Orlando (FL): International Institute of Informatics and Systemics; c2005. 401-5
Kim KM, Park JJ, Song MH, Kim I, Suen CY. Binary decision tree using K-means and genetic algorithm for recognizing defect patterns of cold mill strip. Lecture Notes in Artificial Intelligence (LNAI), vol. 3029, pp. 341-350, May, 2004.
Kim IC, Kim KK, Suen CY. Word separation in handwritten legal amounts on bank cheques based on spatial gap distances. Lecture Notes in Artificial Intelligence (LNAI), vol. 3029, pp. 453-462, May, 2004.
Kim KM, Park JJ, Song MH, Kim I, Suen CY. Detection of ridges and ravines using fuzzy logic operations. In Proceedings of Pat. Recog. Letters, vol. 25, pp. 743-751, 2004.
Kim I, Chien SI. Speed-up of error backpropagation algorithm with class-selective relevance. Neurocomputing. 2002 Oct 1;48(1):1009-14. doi:
Kim I, Chien SI. Analysis of 3D hand trajectory gestures using stroke-based composite hidden Markov models. Applied Intelligence. 2001 Sept/Oct;15(2):131-43.
Kim I, Kim DS, Chien SI. Selective attention based speed-up of error backpropagation algorithm: Application to speaker adaptation. Proc. IASTED Int'l Conf. Signal and Image Processing, pp. 231-235, Hawaii, Aug. 2001.
Kim I, Chien SI. Selectively attentive learning of multilayer perceptron for fast speaker adaptation. Proc. Int’l. Conf. Artificial Intelligence (ICAI'2000), vol.3, pp. 1259-1264, Las Vegas, June 2000.