Jimyeong Kim

Ph.D. Candidate

• Diffusion Model

• Text-to-Image Generation

Jungwon Park

Ph.D. Candidate

• Diffusion Model

Jungmin Ko

Ph.D. Student

• Multimodal Deep Learning

• Deep Learning in Healthcare

Changin Choi

Ph.D. Student

• Multimodal Deep Learning

• Self-supervised Learning

Wonseok Lee

Ph.D. Student

• Continual Learning

• Large Language Models

Dongnam Byun

MS Student

• Generative Model

• Representation Learning

Seungwook Kim

Intellectus (CEO) 

Alumnus (MS, 2016.8)

• Churn prediction

• Machine Learning

Changho Shin

Ph.D. candidate, CS, Univ. of Wisconsin-Madison

Alumnus (MS, 2017.2)

• Deep Learning

• NILM

Seungeun Rho

Ph.D. candidate, CS, Georgia Tech.

Alumnus (MS, 2017.8)

• NILM

• DNN Hyperparameter Optimization

Dr. Yongjae Lee

Associate Prof., UNIST

Alumnus (BK Assistant Professor 2017-2018)

• Investment Management

• Optimization

• Machine Learning

Dr. Jeongyun Han

Assistant Prof., Univ. of Seoul

Alumnus (Ph.D., 2019.2)

• Digital Education

• Data Science for Education

• AI-based Personalized Learning

• Edu-Tech (Technology Enhanced Learning Environment)

Dr. Daeyoung Choi

Assistant Prof., The Cyber University of Korea

Data Scientist, SAKAK

Alumnus (Ph.D., 2019.2)

• Neural Networks

• Data Science

Won Shin

ONYX InSight

Alumnus (MS, 2019.8)

• Machine Learning

• Renewable Energy

• Predictive Maintenance

Sedong Kim

SK Hynix

Alumnus (MS, 2019.8)

• Information Bottleneck

• Generative Models

Dr. Eunjung Lee

Assistant Prof., Mayo Clinic

Alumnus (Ph.D., 2021.2)

• DL for ECG

• Adversarial Robustness

• Meta Learning

Dr. Hyunghun Cho

Noul

Alumnus (Ph.D., 2021.8)

• Hyperparameter Optimization of DNN

• Web API, IoT Software

Yoonah Lee

LVIS

Alumnus (MS, 2021.8)

• Meta Learning

• Adversarial Attack

Dr. Jaekeol Choi

Assistant Prof., Hankuk University of Foreign Studies

Alumnus (Ph.D., 2022.8)

• Natural Langauge Processing

• Information Retrieval

Dr. Kyungeun Lee

LG AI Research

Alumnus (Ph.D., 2023.2)

• Information-theoretic Analysis of the DNN Generalization

• Traffic Forecasting

Dr. Moonjung Eo

LG AI Research

Alumnus (Ph.D., 2023.8)

• Network Compression

• Encoding of DNN

Jinwoo Park

Samsung Advanced Institute of Technology

Alumnus (MS, 2023.8)

• Natural Language Processing

Dr. Euna Jung

Samsung Advanced Institute of Technology

Alumnus (Ph.D., 2024.2)

• Natural Language Processing

• DNN Interpretability

Dr. Jungwook Shin

In Europe

Alumnus (Ph.D., 2024.2)

• ML/DL Acceleration

• Natural Language Processing

Dr. Duhun Hwang

NAVER

Alumnus (Ph.D., 2024.2)

• OoD Generalization

• Adversarial Robustness

• Foundation Models

Dr. Jaeill Kim

LINE Investment Technologies

Alumnus (Ph.D., 2024.2)

• Large Language Models

• Time Series Forecasting

Dr. Suhyun Kang

Samsung Research

Alumnus (Ph.D., 2024.8)

• Meta Learning

Sungjun Lim

MINDS AND COMPANY

Alumnus (MS, 2024.8)

• Retrieval-Augmented Generation

• Multimodal Deep Learning

• Natural Language Processing

Donghun Lee

Ph.D. 수료

• Deep Reinforcement Learning

Jaeseung Park

Ph.D. student, CS, Univ. of Wisconsin-Madison

• Multimodality

• Representation Learning

Dr. Jangwon Suh

MedInTech

Alumnus (Ph.D., 2025.2)

• DNN Interpretability

• Deep Learning in Healthcare

Wonkyun Kim

Samsung Visual Display Business

Alumnus (MS, 2025.2)

• Video-LLMs