Professor

Hyang Woon Lee, MD, Ph.D

Dr. Hyang Woon Lee is a Professor of Department of Neurology, Ewha Womans University School of Medicine. Dr. Lee leads interdisciplinary research efforts on the topic of network-based mechanisms of normal or abnormal brain functions, and AI-based Neuromodulation, particularly related to sleep and epilepsy. On these topics, Dr. Lee published many articles in top-tier interdisciplinary and medical journals, presentations at international academic conferences. She has received research funding from organizations including NRF, KHIDI, ITECH, KBRI, AES, and NINDS. Dr. Lee supervised more than 30 students and post-docs, and teaches undergraduate and graduate level courses on neurology, and convergence medicine, especially AI applications on medical fields.

Dr. Lee is a leading member of the Korean Neurological Association (KNA), Korean Epilepsy Society (KES), and Korean Human Brain Mapping (KHBM), and globally serving as a taskforce member of the Organization of Human Brain Mapping (OHBM). Dr. Lee is also a director of the Medi-Tech Research Institute (formed by medical and engineering schools to develop medical devised and technology and to resolve any umnet clinical needs) and the industry-academic cooperation center in the Ewha Womans University Medical Center. Prior to joining Ewha as a faculty member, she was a postdoctoral fellow at Johns Hopkins University School of Medicine, clinical fellow at NINDS, National Institutes of Health, and visiting professor at Yale University School of Medicine.

[CV]

Meet The Team

Our lab members come from multidisciplinary backgrounds, such as medicine, computational medicine, medical and biomedical engineering, psychology, and neuroscience.

Research Faculty

Song E Kim, Ph.D

Research Professor

PhD in Medical Science, Ewha Womans University School of Medicine
Research interest: epilepsy, sleep disorders, neuroimage
My main research topics are neurobehavioral alterations in neurological disorders and brain aging process in population data, using multimodal neuroimaging-electrophysiologic data (e.g., fMRI, EEG, and evoked potential recordings) in human.

YuJaung Kim, Ph.D

Research Professor

PhD in Biomedical Engineering, Iowa University School of Medicine
Research Interests: biomedical and neural engineering, neuroscience, electrophysiology
My main research topic is the biological signal processing in Epilepsy and Sleep. Current ongoing project is about investigating optogenetic neuromodulations for the mechanisms of seizure in TLE animal model.

Sungeun Hwang, M.D.

M.D. in Neurology, Specialty in Epilepsy & Sleep disorders

Clinical Assistant Professor, Ewha Womans University Mogdong Hospital / M.D. & MSc from Seoul National University
Research Interests: neurology, epilepsy, sleep, clinical neurophysiology, electroencephalography, intraoperative monitoring

Sora An, Ph.D

Key Collaborator / Research Professor

PhD in Electronics Engineering, Ewha Womans University
Research interests: Large-scale brain network modeling, multimodal neuroimaging
My main research topic is to understand brain disorders and improve the modulation efficacy of brain stimulation therapies through the in-silico approach based on brain network modeling.

Chang Hyeon Park, Ph.D

Yun Seo Choi, Ph.D

PostDoctoral fellow

PhD in Medical Science, Ewha Womans University School of Medicine
Research Interests: neuroscience, electrophysiology, neuroimaging
My main research topic is the mechanism of epileptic hippocampal subnetwork using microelectrode array system. Our current research examines ways to effectively suppress the epileptic discharge in temporal lobe epilepsy animal model, using optogenetic stimulation.

Graduate Students

Doctoral Student

Sol Ah Kim

Graduate student in Medical Science / System Health Science & Engineering Major, Ewha Womans University
Research Interests: neuroscience, electrophysiology, big-data analysis
My main research topic focuses on rat brain stimulation, memory, and cognitive function. Our current research addresses electrical stimulation, optical stimulation, behavioral testing, and molecular testing.

Doctoral Student

Jihye Lee

Graduate student in Computational Medicine / System Health Science & Engineering Major, Ewha Womans University
Research Interests: computational medicine, sleep, neuropsychiatry, neuroimaging, AI-based application
My main research topic is to analyze brain waves, brain images, and biometric data using machine learning. I am currently conducting research on analyzing the relationship between sleep quality through biometric data and sleep questionnaires.

Doctoral Student

Aram Cho

Graduate student in System Health Science & Engineering Major, Ewha Womans University / R.N. & MSc from Ewha Womans University
Research Interests: computational medicine, sleep, neuropsychiatry, neuroimaging, AI-based application
My main research topic is the effects of sleep on cognitive function, brain volume, and lifestyle. Currently, I am interested in how sleep-related variables can affect the brain subregion volumes and cognitive function.

Doctoral Student

PhD candidate

Hyeon Jin Kim, MD

Clinical Assistant Professor, Department of Neurology, Korea University Ansan Hospital
Research interests: Quantitative EEG analysis, Sleep, Circadian rhythm, Aging
My main research topic is to study the framework of quantitative analysis for brainwave spectral dynamics during sleep. My research focuses on the practical basis for daily lifestyle modification and disease prevention.

Integrated Master's and Doctoral student

Maithreyee Devi

Graduate student in Computational Medicine/System Health Science & Engineering Major, Ewha Womans University/ M.B.B.S(Bachelor of Medicine and Bachelor of Surgery, Chittagong University, Bangladesh.
Research Interests: computational medicine, sleep medicine, clinical neuropsychiatry.
My main research topic is
to examine the influences between sleep quality, brain morphology and cognition;explore the influence of age , gender,physical activity,lifestyle modalities etc. among healthy individuals as well as sleep breathing disorders such as obstructive sleep apnea.

Master's Student

(Graduated)

Chaewon Kang

Master’s in Computational Medicine, Ewha Womans University
Research interests: Bioengineering, system health, and deep learning
The main research topic is to apply artificial intelligence (AI)-based algorithms to sleep-related biosignals. Currently, my research focuses on analyzing sleep EEG in relation to sleep disorders, planing to expand the AI application to other medical fields in the future.

Master's Student

Younghyun Lee

Master’s in Artificial Intelligence Convergence, Ewha Womans University
Research interests: Artificial Intelligence Convergence, Deep Learning, Brain aging, Cognitive disorders
The main research focuses on extracting features from brain imaging images using artificial intelligence and early detection of brain diseases such as dementia.

Master's Student

Juhyeong Kang

Master’s in Artificial Intelligence Convergence, Ewha Womans University
Research interests: Artificial Intelligence Convergence
The main research topic is to apply artificial intelligence (AI)-based algorithms to virtual brain modeling with biosignals and to estimate efficient treatments through sleep EEG analysis.

Master's Student

Jieun Park

Master’s in Artificial Intelligence Convergence, Ewha Womans University
Research interests: Artificial Intelligence Convergence, Deep Learning, Machine Learning, Multi-modal AI
The main research topic is to predict brain age through MRI using artificial intelligence and compare brain age differences by various clinical factors.

Master's Student

Seoyoung Lee

Master’s in Artificial Intelligence Convergence, Ewha Womans University
B.S degree in Computer Science & Engineering major, Ewha Womans University
Interested in automating discrimination of disorder with AI and computational modeling of brain network.
Currently, my research focuses on developing statistical processing methods for epilepsy seizure data.

Post-Baccalaureate

Post-Baccalaureate Researcher

Eunji Cho

B.S. degree in psychology and statistics, University of California, Berkeley
My main research topic is on utilizing big-data analysis to analyze neuroimaging, epilepsy, neurodegenerative disease, and sleep disorders. Currently, my research focuses on exploring memory function based on hippocampal subfield volumes in Temporal Lobe Epilepsy (TLE).

Undergraduate Students

Undergraduate Intern

Esther Mikyung Nam

Undergraduate student in the Department of Psychology, College of Liberal Arts and Science, University of Illinois Urbana-Champaign
My current research interests are the neurological and cognitive underpinnings of language and their relevancy to neuropathological disorders.

Undergraduate Intern

Donghyun Kevin Kwak

Undergraduate student in the Neuroscience major, Princeton University
Research interests: cognitive neuroscience, neuropsychiatry, clinical neuropsychology, brain plasticity
I aspire to explore the neurobiological links between the brain and environmental stimuli. My research aims to identify specific healing benefits of art that conventional methods such as brain surgery or psychiatric medication may not achieve. Specifically, my research intends to explore the psychiatric significance and therapeutic effects of art activities using the traditional artistic media comprising 紙 (paper), 墨 (ink), and 筆 (brush) – collectively known as Ji-Pil-Muk, influencing cognitive perception and reshaping the human perception structure.

Administration

Project Manager

Yoonjeong Lee

Major in Health Administration
Research Interests and Role: big-data management, common-data model, administration