Scholarship and Creative Expressions per year
Scholarship and Creative Expressions per year
Personal profile
Biography
Dr. Seong-Tae “Ty” Kim is Associate Professor of Statistics at the Department of Mathematics and Statistics, College of Science and Technology, North Carolina A&T State University since 2013. Prior to joining N.C. A&T State University, he worked as Biostatisician at the Center for Cancer Genomics at Wake Forest School of Medicine where he performed biomedical and genomic research. He has published more than four dozen of articles in peer-reviewed journals. His research areas include Data Science, Bioinformatics, and Time Series Analysis along with Big Data. Dr. Kim received his Ph.D. in Statistics from North Carolina State University in 2007.
Education/Academic qualification
Statistics, Ph.D., North Carolina State University
… → 2007
Statistics, Master of Statistics, N/A, North Carolina State University
… → 2003
Public Finance and Monetary Theory, Master of Economics, Korea University
… → 1999
Economics, B.A., N/A, Hanyang University- ERICA Campus
… → 1997
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 5 Gender Equality -
SDG 7 Affordable and Clean Energy -
SDG 16 Peace, Justice and Strong Institutions
Fingerprint
Dive into the research topics where Seongtae Kim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Scholarship and Creative Expressions
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Energy Demand Forecasting Using Temporal Variational Residual Network
Ashebir, S. & Kim, S., Sep 1 2025, In: Forecasting. 7, 3, 42.Research output: Contribution to journal › Article › peer-review
Open Access -
Hybrid Deep Machine Learning Feature Selection for High-Dimensional Cybersecurity Data
Akintade, S. F., Roy, K. & Kim, S., Jan 1 2025, In: IEEE Access. 13, p. 172136-172156 21 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Neuroengineering Frontiers: A Selective Review of Neural Interfaces, Brain–Machine Interactions, and Artificial Intelligence in Neurodegenerative Diseases
Usman, M., Ashebir, S., Okey-Mbata, C., Yun, Y. & Kim, S., Nov 1 2025, In: Applied Sciences (Switzerland). 15, 21, 11316.Research output: Contribution to journal › Review article › peer-review
Open Access -
Quantum Information and Machine Learning Working Group
Kim, S., 2025.Research output: Contribution to conference › Paper
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Estimating Causal Effects with Interaction Screening and Selection in High-Dimensional Data
Ifebirinachi, C., Kim, S. & Liu, Y., 2024.Research output: Contribution to conference › Paper
Service
- 20 Professional Service
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Liaison for Duke HIV/AIDS Research group for recruiting URM students for the Summer Research Program
Kim, S. (Participant)
2023 → …Activity: Other › Professional Service