Personal profile
In Korean
강네이트 교수(IT대학 컴퓨터학부)
Education
o (2013) B.A., UCLA
o (2021) M.S., UCLA
o (2025) Ph.D., Yonsei University
o (2021) M.S., UCLA
o (2025) Ph.D., Yonsei University
Professional Experience
o (2026~Present) Assistant Professor, Kyunpook National University, Daegu, Korea
o (2025~2026) Postdoctoral Researcher, Yonsei University, Seoul, Korea
o (2018~2021) Researcher, University of California, Los Angeles (UCLA)
o (2025~2026) Postdoctoral Researcher, Yonsei University, Seoul, Korea
o (2018~2021) Researcher, University of California, Los Angeles (UCLA)
Research Interests
Federated Learning, Imbalanced Regression, Synthetic Data, Data Privacy
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Collaborations and top research areas from the last five years
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Calibrated mixup for imbalanced regression on tabular data
Kang, N., Lee, K. & Im, J., Apr 2026, In: Pattern Recognition. 172, 112610.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Generalized additive models for mixed-data regression using informal data
Kang, N., Kim, H. H. & Im, J., Jan 2026, In: Applied Soft Computing. 186, 114082.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Online News-Based Economic Sentiment Index
Kang, N., Min, D., Cho, Y., Ko, D. W., Kim, H. H., Choeh, J. Y. & Im, J., 2025, In: IEEE Transactions on Big Data. 11, 3, p. 1464-1474 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Optimizing Federated Learning: Addressing Key Challenges in Real-World Applications
Kang, N., Lim, Y. & Im, J., 2025, In: IEEE Internet of Things Journal. 12, 12, p. 19065-19089 25 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Re-Sampling Calibrated SNN Loss: A Robust Approach to Non-IID Data in Federated Learning
Kang, N. & Im, J., Nov 2025, In: Expert Systems. 42, 11, e70145.Research output: Contribution to journal › Article › peer-review