SeungBum Ha
Ph.D. Student @ UNIST
About
I am a Ph.D. student at Ulsan National Institute of Science and Technology (UNIST), Graduate School of Artificial Intelligence. My research focuses on building trustworthy and efficient machine learning systems, particularly in machine unlearning and federated learning.
Outside the lab, I love staying active — you can find me catching waves 🏄, sending bouldering routes 🧗, or playing pickup basketball 🏀.
Always happy to connect — whether it's a research collaboration, an interesting opportunity, or just a casual coffee chat ☕.
Education
Ph.D. in Artificial Intelligence
UNIST · 2024 – Present · Advisor: Sung Whan Yoon, Saerom Park (co-advisor)
M.S. in Artificial Intelligence
UNIST · 2022 – 2024 · Advisor: Sung Whan Yoon
B.S. in Industrial Engineering
UNIST · 2019 – 2022 · Advisor: Sunghoon Lim
Magna Cum Laude · Early Graduation (7 semesters)
Publications
On-Trajectory Coding for Optimizing End-to-End Latency of Image Semantic Communications via Diffusion Models
J Park, SB Ha, SW Yoon
Under Review, 2026
Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack
SB Ha, S Park, SW Yoon
arXiv preprint (Under Review), 2025
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation
SB Ha*, T Lee*, J Lim, SW Yoon
Pattern Recognition Letters, Vol. 197, pp. 195-201, 2025
Awards & Honors
🥈 ANTI-BAD Challenge, 2nd Place ↗
4th IEEE Conference on Secure and Trustworthy Machine Learning · 2026
Graduate Full Scholarship
UNIST · 2022
UNIST, KAIST, POSTECH · 2021
Korea University · 2021
Undergraduate Full Scholarship
UNIST · 2019
Experience
Research Journey
Research Student
Machine Intelligence and Information Theory Lab
UNIST
Advisor: Sung Whan Yoon, Saerom Park (co-advisor)
2022.08 – Present
Undergraduate Research Intern
Homomorphic Encryption Lab
UNIST
Advisor: Miran Kim
2021.12 – 2022.07
Research Intern
Unstructured Data Mining and Machine Learning Lab
UNIST
Advisor: Sunghoon Lim
2020.05 – 2021.12
More
Patents
Meta-learning algorithms for personalized federated learning
Sung Whan Yoon, Jinhyuk Lim, SeungBum Ha
KR-Application No. 10-2023-0037350 · 2023
Academic Service
Reviewer
ICLR 2025, ICLR 2026, CVPR 2026, ECCV 2026, NeurIPS 2026
Teaching
Distributed Learning
Teaching Assistant, UNIST (AI51501)
Sep. 2024 – Dec. 2024
Introduction to AI Safety
Teaching Assistant, UNIST (IE47001)
Mar. 2024 – Jun. 2024
AI Novatus Academia Curriculum
Teaching Assistant, Gyeongsangnam-do
Sep. 2022 – Feb. 2023
Projects
Hierarchical federated learning simulations and clients contribution measurement
ETRI, Korea · Jun. 2024 – Nov. 2024
Multi-inference performance based federated learning asynchronous consensus
ETRI, Korea · Jun. 2023 – Nov. 2023
Development of feasibility verification technology for resource hidden deep learning model
ETRI, Korea · Apr. 2023 – Nov. 2023
Predicting stock price volatility using FinBERT
AICP Program, UNIST · Mar. 2021 – Dec. 2021
Manufacturing Bigdata Analysis — anomaly detection based on manufacturing process data
Hankuk Mold, Korea · Nov. 2020 – Feb. 2021
Energy Consumption Analysis for Additive Manufacturing
UNIST UDMML Lab · Jul. 2020 – Jul. 2021
Optimization of AI-based fusion manufacturing process conditions and prediction of defects
Seoyeon E-hwa / Inter-X, Korea · Jun. 2020 – Feb. 2021