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Jongwoo
Kim
,
PhD
Staff Scientist
Location: 
38A
/
10S1020
Phone Number: (
301
435-3227
Expertise and Research Interests: 

Jongwoo Kim received his BS degree at the Kyungpook National University, South Korea in 1989, with a major in Electronics Engineering which includes both Electrical and Computer Engineering. He then finished his MS in the same department and university in 1991. In 1998, he completed a PhD at the University of Missouri, majoring in Computer Engineering and Computer Science.

Since 1998, he has worked for several projects (MARS, WebMARS, PDRS, and IMPPOA) related to biomedical document labeling and processing areas at the Communications Engineering Branch of the Lister Hill National Center for Biomedical Communications. His research interests are biomedical document processing, biomedical image processing/recognition, pattern recognition, computer vision, fuzzy theory, and robust statistics areas.

Professional Activities: 

Dr. Kim is a member of the Institute of Electrical and Electronics Engineers (IEEE), the IEEE Computer Society, and Korean American Society of Biomedical Informatics.

Honors and Awards: 

Dr. Kim has received the NIH Group Award for his contributions to the Publisher Data Review System, and an Appreciation Award from Aquilent in 2012.

Publications/Tools by Jongwoo Kim: 
Kim J, Hong S, Thoma GR. Labeling Author Affiliations in Biomedical Articles Using Markov Model Classifiers. The 13th International Conference on Data Mining (DMIN2017), pp. 105-110, Las Vegas, USA, July 2017.
Kim J, Thoma GR. Named Entity Recognition in Affiliations of Biomedical Articles Using Statistics and HMM Classifiers. The 2016 International Conference on Data Mining (DMIN2016), Las Vegas, USA, pp. 236-241, July, 2016.
Kim J, Lobuglio PS, Thoma GR. Visualization of Statistics from MEDLINE. 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS 2016), Dublin and Belfast, Ireland, pp. 290-291, June, 2016.
Kim J, Le DX, Thoma GR. Identification of Investigator Name Zones Using SVM Classifiers and Heuristic Rules. 12th international Conference on Document Analysis and Recognition (ICDAR). Washington D.C., August 2013.
Kim J, Le DX, Thoma GR. Combining SVM Classifiers to Identify Investigator Name Zones in Biomedical Articles. IS&T/SPIE’s 22nd Annual Symposium on Electronic Imaging. San Francisco, CA, January 2012; 8297.
Meyerson JR, White TA, Bliss D, Moran A, Bartesaghi A, Borgnia MJ, de la Cruz JV, Schauder D, Hartnell LM, Nandwani R, Dawood M, Kim B, Kim JH, Sununu J, Yang L, Bhatia S, Subramaniam C, Hurt DE, Gaudreault L, Subramaniam S. Determination of molecular structures of HIV envelope glycoproteins using cryo-electron tomography and automated sub-tomogram averaging. J Vis Exp. 2011 Dec 1;(58). pii: 2770. doi: 10.3791/2770.
Mitra R, Lee J, Jo J, Milani M, McClintick J, Edenberg H, Kesler K, Rieger K, Badve S, Cummings O, Mohiuddin A, Thomas DG, Luo X, Juliar BE, Li L, Mesaros C, Blair IA, Srirangam A, Kratzke R, McDonald CJ, Kim J, Potter DA. Prediction of postoperative recurrence-free survival in non-small cell lung cancer by using an internationally validated gene expression model. Clin Cancer Res. 2011 May 1;17(9):2934-46. doi: 10.1158/1078-0432.CCR-10-1803. Epub 2011 Jan 17.
Kim J, Le DX, Thoma GR. Naive Bayes and SVM Classifiers For Classifying Databank Accession Number Sentences From Online Biomedical Articles IS&T/SPIE's 22nd Annual Symposium on Electronic Imaging. San Jose, CA. January 2010;7534:75340U-1 - 8
Kim J, Le DX, Thoma GR. Inferring Grant Support Types From Online Biomedical Articles 22nd IEEE ISCBMS. Albuquerque, NM. August 2009
Kim J, Le DX, Thoma GR. Naive Bayes Classifier for Extracting Bibliographic Information From Biomedical Online Articles Proc 2008 International Conference on Data Mining. Las Vegas, Nevada, USA. July 2008;II:373-8

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