Seong-Hyeon Hwang

Dissertation: Data Augmentation Strategies for Robust AI under Practical Conditions Advisor: Steven Euijong Whang (Data Intelligence Lab)

Thesis: Data Mixing Augmentation Techniques for Regression Advisor: Steven Euijong Whang (Data Intelligence Lab)

AI System Team · Personalized AI Building agentic memory modules and evaluation benchmarks for a personalized on-device AI agent framework

Data augmentation for multimodal learning Efficient hyper-scale multimodal data analysis and filtering technology Improving model performance for imbalanced multimodal learning [NeurIPS'25] Confidence calibration in class-incremental learning Using adversarial perturbation for responsible AI [CVPR'25] Data augmentation in regression tasks Robust training for regression tasks (with Samsung Electronics) [KDD'24] Data augmentation for semiconductor spectrum data using reinforcement learning [Preprint]

Data Structures and Algorithms for Electrical Engineering Foundation of Big Data Analytics Database and Big Data Systems Advanced Big Data - AI Integration Special Topics in Economics: Modern Macroeconomic Theory and Dynamic Programming AI/ML Mentoring Undergraduate Research Program (URP) EE Co-op Internship Pre-Semiconductor Research Program (Pre-SRP)

Topic: Spiking Neural Network (SNN) & High Performance Computing

1 of 9 recipients in College of Engineering, KAIST (The sole recipient from KAIST EE)

Selected as one of the top 15 biannual research achievements in College of Engineering, KAIST Title: AI updates itself by selecting and augmenting the data it trains on

College of Engineering, Yonsei University (Top 3%)

Academic Excellence Scholarship, Yonsei University

College of Engineering, Yonsei University (Top 10%)

KOSAF, South Korea

College of Engineering, Yonsei University (Top 3%)

E. Whang, S. Hwang, H. Kwak, S. Ryu, S. Lee, Y. Sohn 10-2023-0163647, domestic, pending (In collaboration with Samsung Electronics)