Dr. Dong Hyun Jeong is the Department Chair for Computer Science and Information Technology at UDC. He specializes in visualization, visual analytics, and uncertainty quantification in deep learning. He is also a Senior Member of IEEE and a full member of Sigma Xi, the Scientific Research Honor Society. His research includes topics like network event forecasting, neurological disabilities, and uncertainty reasoning in deep learning. Dr. Jeong has received multiple awards, including the Best Research Short Award and the SEAS Service Excellence Award.
Experience
Education
Doctor of Philosophy in Computer Science, University of North Carolina at Charlotte Master of Science in Computer Science, Hallym University Bachelor of Science in Computer Engineering, Hallym University
Roles
Department Chair, Dept. of Computer Science and Information Technology, 2024-Present Reviewer Board Member, International Journal of Information, MDPI, 2019-Present Reviewer Board Member, International Journal of Imaging, MDPI, 2020-Present Reviewer Board Member, International Journal of Geo-Information, MDPI, 2018-Present Topics Board Member, International Journal of Applied Sciences, MDPI, 2020-Present Journal Editorial Board Member, International Journal of Digital Content Technology and its Applications (JDCTA), 2010-12
Courses Taught
Parallel & Distributed Computing Master Project Master’s Thesis Big Data Analytics Human Computer Interaction Adv Web Development Visualization Information Security Senior Project II Advanced Applied Programming Senior Project I Digital Forensics Human-Computer Interface Computer Science II Computer Graphics Principles of Computer Graphics Senior Seminar Principles of Operating Systems Bioinformatics
Expertise
Research Focus / Works in Progress
Visualization; visual analytics; uncertainty quantification in deep ;learning
Leadership
Senior Member, IEEE (Institute of Electrical and Electronics Engineers), 2022-Present Lifetime Member, the Honor Society of Phi Kappa Phi, 2008–Present Full Member, Sigma Xi,2023-Present
Impact
Selected Publications
Ji, S.Y., Jeong, B.K., & Jeong, D.H. (2023). An analysis of temporal features in multivariate time series to forecast network events. Applies Sciences, 13(18), 10411. https://doi.org/10.3390/app131810411.
Ji, S.Y., Jayarathna, S., Perotti, A.M., Kardiasmenos, K., & Jeong, D.H. (2023). Identifying patterns for neurological disabilities by integrating discrete wavelet transform and visualization. Applied Sciences, 14(1), 273. https://doi.org/10.3390/app14010273
Guo, Z., Wan, Z., Zhang, Q., Zhao, X., Zhang, Q., Kaplan, L.M., Jøsang, A., Jeong, D.H., Chen, F., & Cho, J. (2024). A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. Information Fusion 101, 101987. https://doi.org/10.1016/j.inffus.2023.101987.
Jeong, D.H., Jeong, B.K., & Ji, S.Y. (2023). Multi-resolution analysis with visualization to determine network attack patterns. Applied Sciences, 13(6), 3792. https://doi.org/10.3390/app13063792
Selected Presentations
Jeong, D.H. (2021). Effectiveness of user interactions in conducting visual analysis. Virginia Tech, Blacksburg, Virginia.
Jeong, D.H. (2019). Understanding the effectiveness of user interactions in visualization.George Washington University, Washington, D.C.
Selected Grants
National Science Foundation. (2021). Multidimensional uncertainty-aware deep learning framework.
Microsoft. (2020). Building capacity in cyber security and computer engineering at UDC.
Department of Defense. (2013). Designing a robust closed-loop intrusion detection predictive model using signal processing techniques in cloud computing environment.
Recognitions
Best Research Short Award, ACM Capital Region Celebration of Women in Computing, 2024 Best Paper Award in Track, 10th Annual Computing and Communication Workshop and Conference, 2020 SEAS Service Excellence Award, UDC, 2017
