Tae-Hoon Kim, Ph.D.
Professor, Computer Information Technology
Tae-Hoon Kim is a professor of computer information technology in the department of Computer Information Technology and Graphics. His expertise includes computer network, security and data science.
Kim’s initial research was about the resilience of mobile wireless sensors and ad hoc networks. Current research interests are cybersecurity education in K-12 and college, security and interactive education tool development using AR and data-driven analysis. His research is funded by Army Research Office, NSF, NSA and Industry.
Kim, Tae-Hoon, Myung Kyu Choi and Hang Seok Choi. “Biomass Fast Pyrolysis Prediction Model through Data-based Prediction Models Coupling with CPFD Simulation.” Journal of Analytical and Applied Pyrolysis (2022), Elsevier: 105448.
Long, Xiaoyu, Xianping Wang, Ricardo A. Calix, Tae-Hoon Kim and Keyuan Jiang. “Mapping Chinese Oracle-bone Glyphs to Simplified Glyphs with Generative Adversarial Networks.” In 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), pp. 0352-0357. IEEE, 2021.
Long, Xiaoyu, Xianping Wang, Ricardo A. Calix, Tae-Hoon Kim and Keyuan Jiang. “Categorizing Chinese Glyphs Based on Liushu With Convolutional Neural Networks.” In 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), pp. 0396-0401. IEEE, 2021.
Kim, T.H., Jin, G., Tu, M., “Credential Harvesting Using Raspberry Pi”, 127th ASEE Virtual Annual Conference & Exposition 2020 (ASEE 2020), June 22 – 26, 2020. USA.
Kim teaches most network related topics and other topics in several courses such as LAN, WAN, switching, routing, network protocols, TCP/IP, application, network design, wireless network and communications, network performance, IoT and network security. Other teaching focus areas are Artificial intelligence, Big data, mobile applications and Blockchain technologies.