Jung H Kim


Jung H Kim
College of Engineering

Electrical & Computer Engineering

McNair Hall 535
OtherElectrical Engineering / Yonsei University
M.S.Electrical Engineering / North Carolina State University
Ph.D.Electrical Engineering / North Carolina State University


B.S. degree from Yonsei University, Seoul, Korea, in 1974, and M.S. and Ph.D. from North Carolina State University in 1982 and 1985. Employed at Samsung from 1973 to 1976. Worked LG Precision Central Research Lab from 1977 to 1980. Currently a Professor of Electrical and Computer Engineering at NCAT.

Research Interests

Dr. Kim has many experience in the areas of computer vision, digital signal and image processing algorithms and advanced techniques for the robust recognition of partially occluded objects in a multi-context scene by using Neural Networks and Pattern Recognition. Current research of his interest includes object and pattern recognition, signal and image processing, video transmission, genomic data analysis and wireless sensor networks.

Recent Publications

  • KARL RICANEK, Jung Kim, Gary Lebby (1998). (BIOLOGICALLY MOTIVATED OBJECT IDENTIFICATION IN A MULTI-CONTEXT SCENE). Proceedings of the IASTED International Conference, Artificial Intelligence and Computing, May 27-30, 1998, Cancun, Mexico.
  • A. Canedo-Rodriguez, Jung Kim, Soohyung Kim, John Kelly, Jung Hee Kim, Sun Yi, Sai Veeramachaneni, Y. Blanco-Fernandez (2012). (Efficient Text Extraction Using Color Clustering for Language Translation in Mobile Phone). (3) pp. 228-237. Journal of Signal and Information Processing.
  • Jung Kim, Adrian Canedo-Rodriguez, Jung Kim, John Kelly (2014). (Simple and Efficient Text Localization for Compressed Image in Mobile Phone). (4) 5, pp. 208-228. Journal of Signal and Information Processing (JSIP).
  • Sun Yi, Sangseok Yu, Jung Kim, Taher Abu-Lebdeh (2015). (Analysis of Time-Delayed Neural Networks via Rightmost Eigenvalue Positions). American Journal of Engineering and Applied Sciences.
  • Ali Bhatti, Jung Kim (2015). (Implementation of Lossless Huffman Coding: Image compression using K-Means algorithm and comparison vs. Random numbers and Message source). (05) 02, pp. pp497-505. International Research Journal of Engineering and Technology (IRJET).
  • Ali Bhatti, Jung Kim (2015). (Implementation of Reed-Solomon (RS) and CDMA for signaling a voice through AWGN at 8 KHz sampling frequency using BPSK). (05) 2, pp. pp13-27. ”, International Journal of Advent Research in Computer and Electronics (IJARCE).
  • Ali Bhatti, Jung Kim (2015). (R-Peak detection in ECG signal compression for Heartbeat rate patients at 1KHz using High Order Statistic Algorithm). (9) 2, pp. pp2509-2515. Journal of Multidisciplinary Engineering Science and Technology (JMEST).