Dongchul   Kim

Assistant Professor  

Office: EENGR 3.272
Phone: (956) 665-7923
Email: dongchul.kim@utrgv.edu
Website: faculty.utrgv.edu/dongchul.kim

Dr. Dongchul Kim

Dr. Dongchul Kim received his B.S. degree from the Department of Computer Science at Kyungsung University, Korea, in 2003, B.B.A. degree from the Department of Trade and Commerce at Hankuk University of Foreign Studies, 2001, and M.S. and Ph.D. degree from the Department of Computer Science in University of Texas at Arlington, in 2007 and 2014. He works as an assistant professor in the Department of Computer Science, University of Texas Rio Grande Valley. His research interests include machine learning, pattern recognition, and Bioinformatics. Currently, he focuses on biomarker discovery, biological network inference, and drug design.





Selected Publications


  • Xiang Lian and Dongchul Kim. "Efficient Ad-Hoc Graph Inference and Matching in Biological Databases," Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD/PODS 2017), May 2017.

  • Dong-Chul Kim, Mingon Kang, Ashis Biswas, Chin-Rang Yang, Xiaoyu Wang, Jean Gao, "Effects of Low Dose Ionizing Radiation on DNA Damage-caused Pathways by Reverse Phase Protein Array and Bayesian Networks," Journal of Bioinformatics and Computational Biology (April (2nd Quarter/Spring) 2017).

  • Ashis Biswas, Dong-Chul Kim, Mingon Kang, and Jean Gao. "Robust Inductive Matrix Completion strategy to explore associations between lincRNAs and human disease phenotypes," Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on, December 2016: 334–339.

  • Ali Ajam, Ridwan Hossain, Nishat Tasnim, Luis Castanuela, Raul Ramos, Dongchul Kim, and Yoonsu Choi. "Handcrafted Microwire Regenerative Peripheral Nerve Interfaces with Wireless Neural Recording and Stimulation Capabilities," International Journal of Sensor Networks and Data Communications 5, no. 133 (2016): 1000133.

  • Steven Hill, Laura Heiser, Thomas Cokelaer, Michael Unger, Nicole Nesser, Daniel Carlin, Yang Zhang, Artem Sokolov, Evan Paull, Chris Wong, "Inferring causal molecular networks: empirical assessment through a community-based effort," Nature methods 13, no. 4 (2016): 310–318.

  • Dongchul Kim, Mingon Kang, Ashis Biswas, Chunyu Liu, and Jean Gao. "Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to psychiatric disorders," BMC Medical Genomics 9, no. 2 (2016): 50.

  • Mingon Kang, Juyoung Park, Dong-Chul Kim, Ashis Biswas, Chunyu Liu, and Jean Gao. "Multi-Block Bipartite Graph for Integrative Genomic Analysis," IEEE/ACM Transactions on Computational Biology and Bioinformatics (2016).

  • Mingon Kang, Juyoung Park, Dong-Chul Kim, Ashis Biswas, Chunyu Liu, and Jean Gao. "An integrative genomic study for multimodal genomic data using multi-block bipartite graph," Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on. 2015: 563–568.

  • Ashis Biswas, Mingon Kang, Dong-Chul Kim, Chris Ding, Baoju Zhang, Xiaoyong Wu, and Jean Gao. "Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization," Network Modeling Analysis in Health Informatics and Bioinformatics 4, no. 1 (2015): 9.

  • Dongchul Kim, M. Kang, A. Biswas, C. Liu, and J. Gao. "Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to psychiatric disorders," IEEE International Conference on Bioinformatics and Biomedicine. 2015.



Selected Grants and Fellowships


  • Jungseok Ho. Dwight David Eisenhower Transportation Fellowship Program (DDETFP), US DOT Federal Highway Administration, $54,000.00 (October 1, 2017 - September 30, 2018)

  • Dongchul Kim. Google Cloud Platform Education Grant, $4,400.00 ( )

  • Dongchul Kim. GPU Grant Program: Active Ligand Prediction, Nvidia, $1,200.00 ( )

  • Dongchul Kim. Feasibility Study for 3D Visualization using Underground Image Data, University of Central Florida, $11,917.00 ( )



Selected Presentations


  • Dongchul Kim. "Introduction to machine learning and bioinformatics," Kyungsung University, Busan, Korea (July 2016)

  • Dongchul Kim. "Introduction to machine learning," ACM, UTRGV, Edinburg, TX (March 2016)

  • Dongchul Kim. "Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders," IEEE International Conference on Bioinformatics and Biomedicine, Washington D.C. (November 2015)

  • Dongchul Kim. "Machine Learning in Bioinformatics and Application to Psychiatric Disorder: biological network inference and prognosis for psychiatric disorder," 28th Annual Psychiatric Nursing & Mental Health Conference, Arlington, TX (April 2015)

  • Dongchul Kim. "Integration of DNA Methylation, Copy Number Variation, and Gene Expression for Gene Regulatory Network Inference and Application to Psychiatric Disorders," IEEE International Conference on BioInformatics and BioEngineering, Boca Raton, USA (November 2014)

  • Dongchul Kim. "Learning structure of Bayesian network classifier and application to personalized medicine for lung cancer," Department of Industrial Engineering Seminar, UT Arlington, Arlington, TX (April 2014)

  • Dongchul Kim. "Discovery of Lung Cancer Pathways using Reverse Phase Protein Microarray and Prior- Knowledge based Bayesian Networks," IEEE Engineering in Medicine and Biology Society, Boston (August 2011)

  • Dongchul Kim. "Subcellular Particles Tracking in Time-tapse Confocal Microscopy Images," IEEE Engineering in Medicine and Biology Society, Boston (August 2011)

  • Dongchul Kim. "Biological network inference for lung cancer," TianJin Normal University, TienJin, China (June 2011)

Current Courses

CSCI 3326 01 - Obj Oriented Prog in JAVA:
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CSCI 3326 01 - Obj Oriented Prog in JAVA:
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Textbooks
CMPE 3326 01 - Object Oriented Prog in Java:
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Textbooks
CMPE 3326 01 - Object Oriented Prog in Java:
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Textbooks
CSCI 4352 01 - Machine Learning:
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Previous Courses