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안녕하세요, 현재 고려대학교 인공지능학과 의료인공지능연구실에서 연구하고있는 김준모입니다.
생체 신호 및 뇌-컴퓨터 인터페이스 (Brain-computer Interface, BCI)에 관심이 많고 연구도 진행하고 있습니다.
- 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
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Implementing porn website filtering web-browser using Incremental Support Vector Machine (졸업 프로젝트, 2019)
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Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning (Sensors, MDPI, 2021)
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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)
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MARS: Multi-Agent Reinforcement Learning for Spatial-Spectral and Temporal Feature Selection in EEG-based BCI (IEEE Transactions on Cybernetics, under review, 2022)
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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)