Personal profile
About
Jongyeop Kim is a faculty member at Georgia Southern University in the Department of Information Technology. He earned his MS and PhD in computer science from Oklahoma State University.
Research interest: Big Data Analytics, Machine Learning, Text Analytics, Performance Optimization.
Related links & documents
Education/Academic qualification
PhD Computer Science, Oklahoma State University
MS Computer Science, Oklahoma State University
Disciplines
- Databases and Information Systems
Research Interests
- Big Data Analytics
- Machine Learning
- Text Analytics
- Performance Optimization
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 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 14 Life Below Water
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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
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A Hybrid Deep Learning Approach for Predicting Campaign Success
Ajuluchukwu, M., Coffie, L. & Kim, J., May 29 2025, 2025 IEEE/ACIS 23rd International Conference on Software Engineering Research, Management and Applications, SERA 2025 - Proceedings. Song, Y.-T., Kang, M. & Rhee, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 411-418 8 p. (2025 IEEE/ACIS 23rd International Conference on Software Engineering Research, Management and Applications (SERA)).Research output: Contribution to book or proceeding › Conference article › peer-review
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Comparative Analysis of Machine Learning, Deep Learning, and Ensemble Models for Stroke Prediction Using Electronic Health Records
Coffie, L., Afrane, M. D., Frempong-Kore, K. O. & Kim, J., 2025, Proceedings - 29th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2025-Summer. Yoe, H., Hwang, H. J., Lee, M., Kim, R., Lim, R., Lee, S., Kim, S., Xu, S., Garcia-Ruiz, M., Feng, W., Alam, A. B. M. B., Lin, R., Sultana, A., Khandaker, F., Nasir, M., Higuchi, K., Mori, S. & Hochin, T. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 740-747 8 p. (Proceedings - 29th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2025-Summer).Research output: Contribution to book or proceeding › Conference article › peer-review
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Deep Learning Approaches for Credit Card Fraud Detection: A Data Balancing Perspective
Kim, J., Seol, J., Kim, S. & Chen, L., May 29 2025, 2025 IEEE/ACIS 23rd International Conference on Software Engineering Research, Management and Applications, SERA 2025 - Proceedings. Song, Y.-T., Kang, M. & Rhee, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 393-402 10 p. (2025 IEEE/ACIS 23rd International Conference on Software Engineering Research, Management and Applications (SERA)).Research output: Contribution to book or proceeding › Conference article › peer-review
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Deep Learning for Lung Cancer Prediction: Performance & Explainability Analysis
Coffie, L., Kim, J. & Chen, L., May 7 2025, 2025 6th International Conference on Artificial Intelligence, Robotics, and Control, AIRC 2025. Institute of Electrical and Electronics Engineers Inc., p. 354-360 7 p. (2025 6th International Conference on Artificial Intelligence, Robotics and Control (AIRC)).Research output: Contribution to book or proceeding › Conference article › peer-review
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Enhancing CNNs via structural intervention with XGBoost
Yavas, C. E., Chen, L., Kadlec, C. & Kim, J., Apr 24 2025, In: Engineering Research Express. 7, 2, 025230.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations
Datasets
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California Weather and Fire Prediction Dataset (1984–2025) with Engineered Features
Yavas, C. E. (Creator), Kadlec, C. (Creator), kim, J. (Creator) & Chen, L. (Creator), ZENODO, Jan 21 2025
DOI: 10.5281/zenodo.14712845, https://zenodo.org/records/14712845
Dataset