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경력사항

Journals

Selective labeling using image super resolution for improving the efficiency of object detection in low-resolution oriental paintings, Journal of The Korea Society of Computer and Information, vol. 27, no. 9, pp. 21-32, Sep. 2022.
Deep Learning-based Person Analysis in Oriental Painting for Supporting Famous Painting Habruta, The Korea Contents Association, vol. 21, no. 9, pp. 105-116, Sep. 2021.
A Framework for Text Analytics-based Automatic Question Generation for Supporting Learner-centered Learning and Teaching, Journal of Learner-Centered Curriculum and Instruction, vol. 20, no. 15, pp. 825-847, Aug. 2020.

Conferences

Method for improving object detection efficiency based on image ultra-high resolution, The Knowledge Management Society of Korea, Jun. 2022.
Deep Learning-Based Oriental Painting Character Analysis for Famous Painting Havruta Support, Korea Intelligent Information Systems Society, Jun. 2021.
Automatic question generation for paintings based on characters in Oriental art using deep learning, Korea Intelligent Information Systems Society, Nov. 2020.

특허

IMAGE SUPER-RESOLUTION-BASED SELECTIVE LABELING DEVICE AND METHOD FOR IMPROVING THE EFFICIENCY OF DEEP LEARNING MODEL TRAINING (10-2022-0060756, 등록)
NON-FACE-TO-FACE REAL-TIME LEARNING MANAGEMENT SYSTEM USING DEEP LEARNING (10-2021-0125949, 기술이전)

수상

국민대학교 산학협력단, 2022년 대학원생 논문기반 지식재산권 출원지원 프로그램 공모전, 우수상
Deep Learning-based Real-time Concentration and State Analysis for Non-face-toface Education (2022)
과학기술정보통신부 & 한국지능정보사회진흥원(NIA) / 디스플레이 중심 안구 움직임 영상 데이터를 활용한 인공지능 서비스 아이디어 해커톤, 은상
Deep Learning-based Real-time Concentration and State Analysis for Non-face-to- face Education (2022)

저서

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