Education
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Ph.D. in Electrical Engineering, KAIST Mar. 2021–Feb. 2026Dissertation: Data Augmentation Strategies for Robust AI under Practical Conditions Advisor: Steven Euijong Whang (Data Intelligence Lab)
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M.S. in Electrical Engineering, KAIST Mar. 2019–Feb. 2021Thesis: Data Mixing Augmentation Techniques for Regression Advisor: Steven Euijong Whang (Data Intelligence Lab)
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B.S. in Electrical Engineering, Yonsei University Mar. 2013–Feb. 2019
Publications
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GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental LearningTo appear in KDD 2026 (Top Data Mining conference)
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MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal LearningNeurIPS 2025 (Top Machine Learning & AI conference)
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T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental LearningCVPR 2025 (Top Computer Vision & AI conference)
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RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression TasksKDD 2024 (Top Data Mining conference)
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Quilt: Robust Data Segment Selection against Concept DriftsAAAI 2024 (Top AI conference)
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RegMix: Data Mixing Augmentation for RegressionPreprint
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Inspector Gadget: A Data Programming-Based Labeling System for Industrial ImagesVLDB 2021 (Top Database conference)
Experience
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Staff Engineer, Samsung Research Mar. 2026–PresentAI System Team · Personalized AI Building agentic memory modules and evaluation benchmarks for a personalized on-device AI agent framework
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Research Assistant, Data Intelligence Lab, KAIST Mar. 2019–Feb. 2026Data 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]
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Teaching Assistant, KAIST 2019–2023Data 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)
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Undergraduate Researcher, HPCS Lab, SNU Summer 2018Topic: Spiking Neural Network (SNN) & High Performance Computing
Honors
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Best PhD Dissertation Award Feb. 20261 of 9 recipients in College of Engineering, KAIST (The sole recipient from KAIST EE)
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Research Breakthroughs Sep. 2024Selected 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
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Graduation with Honors: Magna Cum Laude Feb. 2019College of Engineering, Yonsei University (Top 3%)
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Yonsei Jinri Scholarship Spring 2014 – Fall 2014Academic Excellence Scholarship, Yonsei University
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Academic Excellence Award Fall 2013, Spring 2018College of Engineering, Yonsei University (Top 10%)
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National Scholarship for Science & Engineering Fall 2013KOSAF, South Korea
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Academic Excellence Award Spring 2013College of Engineering, Yonsei University (Top 3%)
Patent
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Electronic Device Supporting Manufacture of Semiconductor Device and Operating Method of Electronic Device Dec. 2023E. Whang, S. Hwang, H. Kwak, S. Ryu, S. Lee, Y. Sohn 10-2023-0163647, domestic, pending (In collaboration with Samsung Electronics)