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Ph.D. Students
Ph.D. Students
M.S. Students
M.S. Students
Suyeon Seong
Seung Hyun Do
(Spring 2026)
Graduate Alumni
Graduate Alumni
Ph.D. Students
Seong-Hyeon Hwang (Ph.D. in Spring 2026)
Thesis: Data Augmentation Strategies for Robust AI under Practical Conditions
First employment: Samsung Research (AI Systems team)Geon Heo (Ph.D. in Spring 2025, Postdoc until March 2025)
Thesis: Data-centric Approaches to AI Accuracy, Privacy, Security
First employment: Samsung Research (AI Productivity team)Yuji Roh (Ph.D. in Spring 2024, Postdoc until June 2024)
Thesis: Towards Practical Model Fairness for Trustworthy and Safe AI
First employment: Google Inc. (Youtube, Research Scientist @ DeepMind)Ki Hyun Tae (Ph.D. in Spring 2024)
Thesis: Towards Responsible AI: Data-centric Solutions for Fairness
First employment: Samsung Research (Data Intelligence team)
M.S. Students
So Young Choi (M.S. in Spring 2026, continuing as a Ph.D. student)
Thesis: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal LearningSeungjun Oh (M.S. in Spring 2026, first employment: NAVER Ads Product team)
Thesis: Multi-Agent Contextualization for Time Series AnalysisKahee Lim (M.S. in Spring 2025, continuing as a Ph.D. student)
Thesis: Evaluation and Improvement of Response Consistency in Fairness-Related Tasks of Large Language ModelsJio Oh (M.S. in Spring 2025, continuing as a Ph.D. student)
Thesis: Relational Database based Automatically Verifiable Hallucination Benchmark for Large Language ModelsChanho Lee (M.S. in Spring 2024, continuing as a Ph.D. student, currently on leave at Krafton Inc.)
Thesis: Robust Label Cleaning on Class Imbalanced Data Using SHAPJunseok Seo (M.S. in Spring 2024, continuing as a Ph.D. student)
Thesis: Relaxation Methods of Differential Privacy on Deep Learning Models and Large Language ModelsSoyeon Kim (M.S. in Spring 2023, continuing as a Ph.D. student)
Thesis: Fair and Private Image Data GenerationJaeyoung Park (M.S. in Spring 2023, continuing as a Ph.D. student)
Thesis: FairCIL: Fair Few-shot Class-incremental LearningMin Su Kim (M.S. in Spring 2022, continuing as a Ph.D. student)
Thesis: Automatic Data Calibration and Selection Techniques for Addressing Drifting Data in Machine LearningHyunseung Hwang (M.S. in Fall 2021, continuing as a Ph.D. student)
Thesis: Automatic and Explainable Data Visualizations for COVID-19Byungkyu Lee (M.S. in Fall 2021, SK Hynix Virtual)
Thesis: An Integrated Framework of Feature and Dataset Selection for Machine Learning
Dayun Lee (M.S. in Spring 2021, first employment: Samsung LSI)
Thesis: A Fully-Integrated Data Drift Detection and Stitching System for Machine Learning
Seonghyeon Hwang (M.S. in Spring 2021, continuing as a Ph.D. student)
Thesis: Data Mixing Augmentation Techniques for Regression
Geon Heo (M.S. in Spring 2020, continued as a Ph.D. student)
Thesis: Massive Image Labeling using Crowdsourcing and Data Programming: A Big Data AI Integration Perspective
Visiting Student Researcher
Aiden Chang (Spring-Summer 2024)
Student Awards
Student Awards
KAIST Breakthroughs, Jaeyoung Park and Min Su Kim, Mar. 2026
Topic: Improving Fairness in Class-Incremental Learning using Sample Weighting
Among 14 top biannual research achievements in KAIST College of EngineeringBest PhD Dissertation Award, College of Engineering, KAIST, Seong-Hyeon Hwang, Feb. 2026
Title: Data Augmentation Strategies for Robust AI under Practical Conditions
Among 9 in KAIST College of Engineering, only recipient from KAIST EEKAIST EE Best TA Award, Jio Oh, Oct. 2025
KAIST Breakthroughs, Seong-Hyeon Hwang and Min Su Kim, Aug. 2024
Topic: AI updates itself by selecting and augmenting the data it trains on
Among 14 top biannual research achievements in KAIST College of EngineeringKAIST Breakthroughs, Ki Hyun Tae, Mar. 2023
Topic: Data-centric solutions for Responsible AI: fair data labeling and acquisition
Among 14 top biannual research achievements in KAIST College of EngineeringMicrosoft Research PhD Fellowship, Yuji Roh, Oct. 2022
Among 36 in the world, only recipient from universities in Korea
KAIST article (English, Korean), interviewKAIST EE 2021 Best Research Achievement Award, Yuji Roh, Apr. 2022
Among 6 in KAIST EE, 1 in Computer DivisionEunjongkwan Scholarship, Soyeon Kim, Apr. 2021
KAIST Breakthroughs, Yuji Roh, Mar. 2021
Topic: FR-Train: Fair and Robust Training for Trustworthy AI
Among 14 top biannual research achievements in KAIST College of EngineeringQualcomm Innovation Fellowship Korea, Yuji Roh, Dec. 2020
Among 20 in KoreaKAIST EE Best TA Award, Geon Heo, Sept. 2020
KAIST EE Best TA Award, Yuji Roh, June 2020
KAIST EE Best TA Award, Ki Hyun Tae, Oct. 2019
KAIST EE Fellowship, Min Su Kim, Sept. 2019
Student Internships
Student Internships
Research Intern, NYU Center for Responsible AI, Hyunseung Hwang, Sept. 2025–Dec. 2025
Research Intern, Microsoft Research Asia, Minsu Kim, Aug. 2025–Feb. 2026
Research Intern, Amazon, Jio Oh, Aug. 2025–Nov. 2025
Research Intern, Krafton AI, Minsu Kim, Mar. 2025–Aug. 2025
Research Intern, Microsoft Research Asia, Jio Oh, Sept. 2024–Mar. 2025
Research Intern, Microsoft Research Asia, Soyeon Kim, Sept. 2024–Mar. 2025
Research Intern, Google DeepMind & Youtube, Yuji Roh, Jun. 2023–Aug. 2023
Research Intern, NVIDIA Research, Yuji Roh, Jun. 2022–Dec. 2022
Undergraduate Alumni
Undergraduate Alumni
Thesis Research
DoKyun Lee (Spring 2026), Seung Hyun Do (Fall 2025), Youngmoo Kim (Fall 2023), Beomjoon Yang (Fall 2023), Bom Hyeok Lim (Spring 2023), Young-Woo Shin (Spring 2023), Gyeongseop Shin (Spring 2023), Bryan Nathanael Wijaya (Spring 2023), Berhane Weldegebriel (Fall 2022), Jinhoon Moon (Fall 2022), Youngjun Song (Spring 2021), Hyo Gyeong Choe (Spring 2021), Xinyue Ma (Spring 2021), Soyeon Kim (Spring-Summer 2020), WonHyeon Kim (Spring 2020), Hyun Jin Hwang (Spring 2019), Kyeong Ha Rho (Spring-Fall 2018)
Undergraduate Research Program (URP)
Himani Paudayal (Undergraduate Research Program, Winter 2024 - Spring 2025), Hojin Yu (Undergraduate Research Program, Winter 2021-Spring 2022), Sabina Abdurakhmanova (Summer-Fall 2021), Thao Phuong (Summer-Fall 2019), Mengge Li (Spring-Fall 2018)
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