Congratulations!!! Jiyeon and Wonjun’s paper, titled “A Unified Framework for Personalized Regions Selection and Functional Relation Modeling for Early MCI Identification,” is accepted for publication in NeuroImage.

Functional MRI – and Machine/Deep-Learning-based Brain Disorder/Disease Diagnosis and Prognosis We seek a couple of highly motivated graduate students on functional brain imaging analysis and machine/deep learning-based brain disease diagnosis and prognosis. It is especially encouraged for those eager to develop advanced brain network modeling and functional MRI-based diagnostic methods by developing or applying recent state-of-the-art machine/deep learning algorithms. We welcome all applicants with the background in cognitive neuroscience, neuroscience, biomedical engineering, computer science, applied mathematics/statistics, electrical engineering, signal/image processing and or other related fields. A good programming skill (Python, Matlab) is also highly preferred.  If interested, please email your...

고원준, 전은지 연구원이 고려대 최우수대학원생에게 수여하는 “KU 연구장려장학금”를 수상하였습니다.“연구장려장학금”은 고려대 정보대학이 연구력 향상을 위해 우수한 논문을 제출한 수료연구생에게 우수논문상과 더불어 연구장려장학금을 지급합니다. 축하합니다!

Congratulations!!! Wonjun’s work on “Multi-Scale Neural Network for EEG Representation Learning in BCI” is accepted to IEEE Computational Intelligence Magazine (IF: 9.083).

Congratulations!!! Wisnu’s work on “Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series” is accepted to IEEE Transactions on Cybernetics.

Congratulations!!! Seungwoo’s work on “Fine-grained Temporal Attention Network for EEG-based Seizure Detection” is accepted to BCI2021.

Congratulations!! Jee Seok Yoon won the 1st JW Foundation Fundamental Scientist Scholarship. JW Foundation awards living stipends of 24M won (about $22,000) to Ph.D. students with the potential to be future leaders in the field of fundamental science.

Congratulations!!! Jeeseok’s paper on “A Plug-in Method for Representation Factorization in Connectionist Models” is accepted to IEEE-TNNLS.

우리 연구실의 박창현 석사과정이 학위 논문 심사를 모두 통과하여 금년 2월에 석사 학위를 취득할 예정입니다. 축하합니다!

[AI타임즈]/[Lab news] 한국인공지능학회(학회장 유창동) 하계 학술대회 시상에서 최우수 논문 2편과 우수 논문 8편 중 최우수 논문으로 석흥일 고려대 교수팀의 논문 ‘Personalized Regions Selection and Graph Relational Modeling for Early MCI Identification’, 우수 논문으로는 ‘Uncertainty-Gated Stochastic Sequential Model for EHR Data Imputation and In-Hospital Mortality Prediction’ 선정되었습니다.