EDUCATION

• 2020. 03. - present : Ph.D. student in School of Integrated Technology, GIST

• 2018. 03. - 2020. 02. : M.S. student in School of Integrated Technology, GIST

• 2014. 03. - 2018. 02. : B.S. in Department of Mechanical Engineering, GIST

WORK EXPERIENCE

• 2022. 03. - present : Technical Research Personnel

• 2021. 09. - 2021. 12. : Teaching Assistant for Advanced Deep Learning (GIST, RT5102)

• 2021. 03. - 2021. 06. : Teaching Assistant for Deep Learning (GIST, RT5101)

• 2020. 03. - 2020. 06. : Teaching Assistant for Deep Learning (GIST, RT5101)

• 2019. 03. - 2019. 06. : Teaching Assistant for Deep Learning (GIST, RT5101)

• 2017. 11. - 2018. 02. : Intern at Artificial Intelligence Laboratory

• 2017. 07. - 2017. 08. : Intern at Healthcare Robotics Laboratory

• 2015. 12. - 2016. 03. : Intern at Intelligence Design and Graphics Laboratory

AWARD

• President's Award (Track1, GIST Innovative Convergence Technology Contest), Gwangju Institute of Science and Technology (GIST), Korea (Nov. 2017)

• Dean of Mechanical Engineering's Award (Track2, GIST Innovative Convergence Technology Contest), Gwangju Institute of Science and Technology (GIST), Korea (Nov. 2017)

SCHOLARSHIP

• Presidential Scholarship Awarded (GFP), Gwangju Institute of Science and Technology (GIST), Korea (Mar. 2020)

JOURNAL - INTERNATIONAL

• Seongju Lee*, Yeonguk Yu, Seunghyeok Back, Hogeon Seo, Kyoobin Lee, "SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning", Expert Systems with Applications, (2023)

• Sungho Shin*, Seongju Lee, Changhyun Jun, and Kyoobin Lee, "BattleSound: A Game Sound Benchmark for the Sound-Specific Feedback Generation in a Battle Game", Sensors (2023)

• Seunghyeok Back*, Seongju Lee*, Sungho Shin, Yeonguk Yu, Taekyeong Yuk, Saepomi Jong, Seungjun Ryu, Kyoobin Lee, "Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster", IEEE ACCESS, (2021)

• Sungho Shin*, Jongwon Kim, Yeonguk Yu, Seongju Lee, Kyoobin Lee, "Self-Supervised Transfer Learning from Natural Images for Sound Classification.", Applied Science, (2021)

• Seungjun Ryu, Seunghyeok Back, Seongju Lee, Hyeon Seo, Chanki Park, Kyoobin Lee, Dong-Seok Kim, "Pilot study of a single-channel EEG seizure detection algorithm using machine learning.", CHILDS NERVOUS SYSTEM, (2021)

• Hogeon Seo*, Seunghyeok Back*, Seongju Lee*, Deokhwan Park, Tae Kim, Kyoobin Lee, "Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG", Biomedical Signal Processing and Control, (2020)

JOURNAL - DOMESTIC

• 백승혁, 신성호, 강래영, 이성주, 이주순, 육태경, 전창현, 김종원, 유연국, 박성호, 윤준호, 이준석, 이규빈, "물품조립 AI-조립설명서 기반 로봇의 작업계획 생성 시스템", 로봇과 인간 (2021)

CONFERENCE - INTERNATIONAL

• Yeonguk Yu*, Sungho Shin, Seongju Lee, Changhyun Jeon, Kyoobin Lee, "Block Selection Method for Using Feature Norm in Out-of-distribution Detection", Computer Vision and Pattern Recognition (CVPR), (2023)

• Taeri Kim*, Junseok Lee, Seongju Lee, and Kyoobin Lee, "GYM-Net: Graphical Y-branched Multi-tasking Network for Trajectory Prediction", International Conference on Control, Automation and Systems (ICCAS), (2022)

• Seongju Lee*, Yeonguk Yu*, Junseok Lee, Jumi Park, Changhyun Jun, and Kyoobin Lee, "Vessel Trajectory Forecasting on Naval Warfare Simulation via CVAE-based Model", International Conference on Robot Intelligence Technology and Applications (RiTA), (2021)

CONFERENCE - DOMESTIC

• 박덕환, 이성주, 백승혁, 이규빈, "커리큘럼 학습을 통한 원시 단일 채널 EEG의 자동 수면 단계 분류 성능 향상", 제어로봇시슴템학회, (2021)

• 이성주, 전창현, 강래영, 이규빈, "표면 법선 벡터 추정 정보를 이용한 2D 와이어프레임 도면 내 개체분할 성능 향상", 한국로봇종합학술대회, (2021)

• 박덕환, 서호건, 이성주, 이규빈, "UWB Radar를 이용한 지능형 호흡 추정 및 무호흡 판별", 한국로봇종합학술대회, (2020)

• 이성주, 백승혁, 서호건, 이규빈, "CRNN 구조를 활용한 뇌전도신호 기반 수면 단계 분류", 한국로봇종합학술대회, (2019)

PATENT

• 이규빈, 백승혁, 박성호, 이성주, 육태경, 강래영, 신성호, "부품조립도 이해와 조립계획 생성 시스템", 2019-0153768, 광주과학기술원, (2019)

• 서호건, 이규빈, 박덕환, 이성주, 김문상, "수면환경 최적화 기법 수면 최적화 방법", 10-2019-0045699, 광주과학기술원, (2019)