Pusan National University

Welcome to BASIL Lab

At BASIL Lab (Biomedical AI for SIgnaLs Laboratory), we harness the power of Artificial Intelligence to decode and understand complex biomedical signals — from brain waves (EEG, fNIRS) to physiological biosignals — transforming raw neural data into clinical insights for early disease diagnosis, next-generation Brain-Computer Interfaces (BCI), and fundamental discoveries in Cognitive Neuroscience.

// 01. The Team

Meet the Team

Principal Investigator

Kyeonggu Lee, Ph.D.

Department of Biomedical Engineering
Pusan National University

Prof. Kyeonggu Lee received his B.S. (2019), M.S. (2021), and Ph.D. (2024) in Electronic & Biomedical Engineering from Hanyang University, Seoul, under the supervision of Prof. Chang-Hwan Im. Following his doctorate, he conducted postdoctoral research at Hanyang University (Sep. 2024 – Feb. 2026) and as a postdoctoral researcher at CHU Sainte-Justine & Université de Montréal (Mar. – Sep. 2026), under the supervision of Prof. Karim Jerbi and Prof. Anne Gallagher.

He is now an Assistant Professor in the Department of Biomedical Engineering at Pusan National University, where he leads BASIL Lab. His research spans deep learning for biomedical signals (EEG, fNIRS), brain-computer interfaces (BCI), AI-driven clinical diagnostics, and cognitive neuroscience.

E-mail: kyeonggu.lee@pusan.ac.kr

Join Us!

We are looking for motivated graduate students and postdoctoral researchers passionate about AI, biomedical signals, and neurotechnology.

Get in Touch

// 02. Research

Core Research Areas

EEG Foundation Models

Usability Enhancement in EEG Foundation Models

Advancing the adaptability and practical usability of EEG foundation models for diverse clinical and computational applications.

Foundation Models EEG Decoding BCI Clinical AI

Explainable AI

Clinical Feature Identification via XAI

Leveraging Explainable AI (XAI) to uncover and interpret the key clinical features for transparent and accurate disease diagnosis.

XAI Feature Attribution fNIRS / EEG CADx

Cognitive Neuroscience

AI-Driven Cognitive Neuroscience

Utilizing machine learning to discover cognitive mechanisms from early childhood development to neurodegeneration.

Cognitive Neuroscience Neurodevelopment Neural Decoding

Neuromedicine & Stimulation

Personalized Neuromedicine & Closed-Loop Stimulation

Optimizing digital healthcare through real-time feedback systems to deliver tailored neuromodulation.

Closed-Loop Neuromodulation Digital Healthcare Biofeedback

// 03. In the News

Latest News & Updates

Announcements, lab achievements, and research milestones.

2026. 09. 01 Announcement

Kyeonggu Lee Appointed as Assistant Professor at Pusan National University

Prof. Kyeonggu Lee has been appointed as an Assistant Professor in the Department of Biomedical Engineering at Pusan National University (PNU), officially establishing and leading the BASIL Lab (Biomedical AI for SIgnaLs Laboratory).

// 04. Publications

Publications

Peer-reviewed journal articles, preprints, and research contributions.

Google Scholar Profile

2026 Co-First Author Frontiers in Aging Neuroscience

Prediction of treatment responsiveness to home-based transcranial photobiomodulation (tPBM) intervention for cognitive decline using fNIRS concurrently recorded during tPBM

M Chun*, K Lee*, B Jung, Y Kim, C Yang, JK Choi, J Cha, SH Lee, CH Im

Frontiers in Aging Neuroscience, 18, 1716502 (2026)

Google Scholar

2025 First Author J. Affective Disorders

Functional near-infrared spectroscopy-based computer-aided diagnosis of major depressive disorder using explainable artificial intelligence: Comparison with conventional machine learning

K Lee, M Chun, J Kwon, JK Choi, SH Lee, CH Im

Journal of Affective Disorders, art. no. 120985 (2025)

Google Scholar

2025 Co-First Author J. Ind. Eng. Chem.

Infusion and iontophoresis for directional delivery of compounds to the brain

HB Ji*, JH Han*, CH Min*, J Park*, K Lee*, SB Yoon, EJ Kwon, CR Kim, et al.

Journal of Industrial and Engineering Chemistry (2025)

Google Scholar

2025 First Author SSRN Preprint

Functional Near-Infrared Spectroscopy-Based Computer-Aided Diagnosis of Major Depressive Disorder: A Meta-Classification Approach Integrating Multiple Task-Specific Classifiers

K Lee, J Kwon, M Chun, JK Choi, SH Lee, CH Im

Available at SSRN 5592143 (2025)

Google Scholar

2024 First Author IEEE TNSRE

Machine-learning-based prediction of photobiomodulation effects on older adults with cognitive decline using functional near-infrared spectroscopy

K Lee, M Chun, B Jung, Y Kim, C Yang, JK Choi, J Cha, SH Lee, CH Im

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 3710-3718 (2024)

Google Scholar

2024 First Author Depression and Anxiety

Functional Near-Infrared Spectroscopy-Based Computer-Aided Diagnosis of Major Depressive Disorder Using Convolutional Neural Network with a New Channel Embedding Layer

K Lee, J Kwon, M Chun, JK Choi, SH Lee, CH Im

Depression and Anxiety, 2024 (1), 4459867 (2024)

Google Scholar

2022 First Author Alzheimer's Res & Ther

Selection of the optimal channel configuration for implementing wearable EEG devices for the diagnosis of mild cognitive impairment

K Lee, KM Choi, S Park, SH Lee, CH Im

Alzheimer's Research & Therapy, 14 (1), 170 (2022)

Google Scholar

2022 IEEE TNSRE

Brain-controlled, AR-based Home automation system using SSVEP-based brain-computer interface and EOG-based eye tracker: A feasibility study for the elderly end User

S Park, J Ha, J Park, K Lee, CH Im

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 544-553 (2022)

Google Scholar

// 05. Contacts

Connect & Collaborate

Affiliation

Dept. of Biomedical Engineering, Pusan National University, Yangsan, Republic of Korea

Location & Address

경암공학관 (Gyeongam Engineering Building)

경남 양산시 물금읍 부산대학로 49 (우편번호: 50612)
49, Busandaehak-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do, 50612, Republic of Korea

View on Google Maps

E-Mail

kyeonggu.lee@pusan.ac.kr