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행복한 대학원생의 연구노트

안녕하세요, 현재 고려대학교 인공지능학과 의료인공지능연구실에서 연구하고있는 김준모입니다.

생체 신호 및 뇌-컴퓨터 인터페이스 (Brain-computer Interface, BCI)에 관심이 많고 연구도 진행하고 있습니다.

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경력

• 2013 ~ 2016 : Chinese & English, 동두천외국어고등학교(DFL)
• 2016 ~ 2020 : Department of Computer Engineering, Kwangwoon University
• 2019 ~ 2019 : Intern (양재R&D캠퍼스, LG Electronics)
• 2020 ~ 2020 : Aiffel 1기, 모두의 연구소
• 2020 ~ 2020 : Google Machine Learning Bootcamp 1기
• 2021 ~ : Department of Artifical Intelligence, Korea University

Papers and projects

• Implementing porn website filtering web-browser using Incremental Support Vector Machine (졸업 프로젝트, 2019)

• Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning (Sensors, MDPI, 2021)

• A Learnable Continuous Wavelet-based Multi-Branch CNN Framework for Motor Imagery EEG Classification (IEEE Transactions on Neural Networks and Learning Systems, under review, 2022)

• MARS: Multi-Agent Reinforcement Learning for Spatial-Spectral and Temporal Feature Selection in EEG-based BCI (IEEE Transactions on Cybernetics, under review, 2022)

• Feature selection method in EEG-based MI classification based on layer-wise relevance propagation (IEEE International Winter Conference on Brain-Computer Interface 2023, under review, 2022)