Seongtae Kim

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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):

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

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1 Similar Profiles

52 Article
40 Paper
17 Review article
10 Conference contribution
More
- 2 Chapter

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
2 Scopus citations
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
2 Scopus citations
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
2 Scopus citations
Quantum Information and Machine Learning Working Group
Kim, S., 2025.
Research output: Contribution to conference › Paper
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

Reviewer, Conference Paper
Kim, S. (Participant)
2025
Activity: Other › Professional Service
Session Chair
Kim, S. (Participant)
2025
Activity: Other › Professional Service
Reviewer, Journal Article
Kim, S. (Participant)
2024 → …
Activity: Other › Professional Service
Program Organizer
Kim, S. (Participant)
2023
Activity: Other › Professional Service
Liaison for Duke HIV/AIDS Research group for recruiting URM students for the Summer Research Program
Kim, S. (Participant)
2023 → …
Activity: Other › Professional Service

AST 984: Laboratory Internship
01/1/18 → …
Course
AST 992: Doctoral Seminar
01/1/18 → …
Course
AST 997: Doctoral Dissertation
01/1/18 → …
Course
DAAN 704: Pred Analytic Machine Learning
01/1/24 → …
Course
DAAN 784: MS Practicum in Data Analytics
01/1/25 → …
Course

Seongtae Kim

Personal profile

Biography

Education/Academic qualification

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Energy Demand Forecasting Using Temporal Variational Residual Network

Hybrid Deep Machine Learning Feature Selection for High-Dimensional Cybersecurity Data

Neuroengineering Frontiers: A Selective Review of Neural Interfaces, Brain–Machine Interactions, and Artificial Intelligence in Neurodegenerative Diseases

Quantum Information and Machine Learning Working Group

Estimating Causal Effects with Interaction Screening and Selection in High-Dimensional Data

Reviewer, Conference Paper

Session Chair

Reviewer, Journal Article

Program Organizer

Liaison for Duke HIV/AIDS Research group for recruiting URM students for the Summer Research Program

AST 984: Laboratory Internship

AST 992: Doctoral Seminar

AST 997: Doctoral Dissertation

DAAN 704: Pred Analytic Machine Learning

DAAN 784: MS Practicum in Data Analytics

Seongtae Kim

Personal profile

Biography

Education/Academic qualification

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Scholarship and Creative Expressions

Service

Teaching