Members

Principal Investigator

Hosung Kim, Assistant Professor

Stevens Institute for Neuroimaging and Informatics

Laboratory of Neuro Imaging (LONI)

Neurology, Neuroscience, Biomedical Engineering 

Postdoctoral Researchers

Yaqiong Chai, PhD: Machine Learning/deep learning, synthesis of brain surface/connectivity map using graphGAN, image synthesis, brain aging, and Alzheimer’s Disease. 

USC- Biomedical Imaging PhD; Chinese Academy of Sciences- Image Informatics MS; Beijing University of Aeronautics and Astronautics- Automation and Electrical Engineering BS

Soonhyun Yook, PhD: Biomedical Signal Processing, deep learning 

Effects of hypoxic burden on brain aging, Prediction of brain age using sleep EEG

Gilsoon Park, PhD: Segmentation of brain structures, lesion based deep learning, machine learning, brain age prediction

Hanyang University, PhD 

Project Assistants  

 Hedong Zhang: Semisupervised Deep Learning, Pervivascular segmentation

Previous education:

USC Electrical Engineering Master Program

Dalian University of Technology (China) Electrical and Electronic Engineering, BS

 Minji Kim: Supervised Deep Learning, Ear disease classification and hearing ability prediction using deep learning and otoendoscopy.

Previous education:

MS in BME, Hanyang University 

BS in BME, Hanyang University

Graduate Students

 Cong Zang: Brain age prediction using machine learning/deep learning; MRI, White matter hyperintensity, T1/T2 brain aging, perivascular space

Neuroscience Graduate Program (NGP) PhD Program

Previous education:

USC Keck- Neuroimaging and Informatics, MS; 

Southeast University- Electronic Science&Engineering BS

Quanhao Sun: 

Biomedical Engineering (BME) PhD Program

Previous education:

BS in Biomedical Engineering, Southeast University

Medical Students

Meghna Nanda: Sleep medicine, neurodegenerative diseases, deep learning

California University of Science and Medicine (M.D expected 2027)

Previous Education: 

Duke University (B.S.)


Undergraduate Students

Andrew S Kim: Glymphatic imaging and Perivascular space analysis

BS in Health Promotion and Disease Prevention 

MS in Medical Gerontology


Carlos Robles: With a background in software engineering and neuroscience, I'm interested in computational and statistical analysis of neuromaging, specifically with regards to clinical challenges faced in understanding neurodegenerative disorders and cognition.


Post-bac student or research volunteer at USC and Scripps College 


Previous Education: 

B.A. in Computer Science from Harvard College

Sherry Yue Du: Pediatric obesity and the relationship to brain development, normative modeling, Biostatistics, Applied Statistics


BSc in Mathematics/Economics


Kaitlyn Min: Glymphatic imaging and Perivascular space analysis


BS in Computer Science and Business Administration 


Grace Chang: Glymphatic imaging and Perivascular space analysis


BS in Health and Human Sciences


Abby Trang: Glymphatic imaging and Perivascular space analysis


BS in Health Promotion and Disease Prevention


June Lim: Glymphatic imaging, Scientific graphical illustration


BS in Environmental Science and Health, Minor in Painting


Visiting Clinicians and Scholars

Kyungwook, Kang, MD, PhD: Sleep, Epilepsy and Dementia 

Fund Associate Professor, Department of Neurology, Chonnam National University Hospital and School of Medicine


Previous education:

MD, Chonnam National University Medical School, Gwangju, Korea

PhD, Chonnam National University Postgraduate School, Gwangju, Korea

Jiyoung Kim, MD, PhD: Headache, Epilepsy, and Sleep

Associate Professor, Department of Neurology, Pusan National University Hospital


Previous education:

School of Medicine, Chosun University,  M.D.

Pusan National University Graduate School, Ph.D.

Seong-Jun Choi, MD, PhD: Hearing, Vertigo, Hearing AIds, AI, medical device

Professor, Department of Otolaryngology-Head and Neck Surgery, Cheonan Hospital, Soonchunhyang University College of Medicine, akas9238@hanmail.net
                             .
Previous education:

 B.D. Chosun university 

M.D. Chosun university 

PhD Ajou university 

Jung-Won Shin, MD, PhD: Sleep Neurologist, Sleep disorders, REM-sleep disorder, Parkinson's Disease, MRI

Associate Professor, Department of Neurology, CHA University, CHA Bundang Medical Center

Alumni 

Yoon-Sang Oh, MD:  Parkinson's Disease,  Other movement disorders, dementia 

Associate Professor, Department of Neurology, College of Medicine, The Catholic University of Korea

Sharon Y. Kim: Covariance of cortical folding in preterm and term neonates

Medical School, Uniformed Services University, NIH

Yeonsil Moon, MD:  Alzheimer's Disease, other dementia 

Associate Professor, Department of Neurology, College of Medicine, KunKuk University Medical Center, Seoul 

Hyunjin Jo, MD: Sleep Neurologist, Sleep disorders, REM-sleep disorder, Parkinson's Disease, MRI

Seoul Samsung Medical Center

 Jiazhi Dai: Activation mapping, Brain age prediction using machine learning/deep learning; Sleep EEG analysis

Electrical Engineering Master Program


Young Seok Choi: Sleep disorders and Electroencephalography

Hanyang University 

Julia Pia Simon: MRI-negative temporal lobe epilepsy analysis and machine learning, brain age prediction in Alzheimer disease

USC Keck- Neuroimaging and Informatics, MS; USC- Neuroscience BA, Spanish BA

Claire Park: Sleep disorders, brain age prediction using EEG & MRI

California University of Science and Medicine

Nina Tanaka: Brain age prediction

USC Dornsife-Health and the Human Sciences

Will Matloff: Cochlear subregion segmentation using CNN, Combining neuroimaging, genetic, and clinical data to study neurodegenerative disease

MD-PhD: USC Keck- Medical School & NGP PhD Program

Mengting Liu, PhD: Cortical surface extraction on neonatal brain MRI, brain age prediction, prediction of neurodevelopmental outcome using GCN

Currently Assistant Professor at Southern University of Science and Technology

Chaitanya Gupte: Sleep apnea detection using multimodal Polysomnography

USC EE, MS

Audrey Yin: Thalamic development in neonates, thalamocortical connectivity

USC Dornsife Undergraduate Neuroscience Program

Currently Research Assistant at NYU

Shiyu Yuan: Neurodevelopment, Myelination in preterm and term neonates

USC Leonard Davis School of Gerontology- MSG

Currently PhD Student at Stevens Institute of Technology 

Dae Lim Koo, MD: Sleep disorders, Parkinson's disease, REM-sleep behavior disorder

Seoul National University College of Medicine

Knarik Arutyunyan: Covariance of brain morphology in obstructive sleep apnea

USC Keck- Neuroimaging and Informatics MS 


 Aya Musleh: Hypoxic-ischemic encephalopathy analysis, Neonatal MRI machine learning  

Currently at USC Keck- Neuroimaging and Informatics MS

Ben A. Duffy: MRI quality control and motion artifact correction using deep learning, regression activation mapping, brain age prediction

Tasfiya Islam: Sleep/OSA MRI analysis

Currently at USC Keck- Neuroimaging and Informatics MS

 Bailin Peng: Brain age prediction

USC Leonard Davis School of Gerontology- MSG; University of Alabama at Tuscaloosa, Biology BS

Mitchell Lee: Cortical thickness in neonates

USC Dornsife Undergraduate Neuroscience Program

Carinna Torgerson: Brain age prediction, Machine learning and diffusion imaging 

Neuroscience PhD Candidate, USC; Loyola Marymount University, Psychology BA 

Joyce Min: Quality control of cortical surface

Emory University- Anthropology of Human Biology & Computer Science

Sarah Vanloh: Periventricular germinal matrix in neurodevelopment

USC Dornsife Undergraduate Neuroscience Program

Mingdong Cui: Brain morphometry in Parkinson's disease, REM-sleep behavior disorder

USC Leonard Davis School of Gerontology- MSG; Harbin Medical University (HMU)- Clinical Medicine

Clarissa Morales: 

Currently at USC Keck- Neuroimaging and Informatics MS; Vanderbilt University, Neuroscience BA 

Maria Diaz: Graph-based convolutional neural network (GCN), brain age prediction

CSUF Computer Science & mathematics

Armin Bazarjani: GRAPH and Identity GAN, neurodegeneration detection through machine learning 

USC Viterbi- Electrical Engineering (currently in BS, future MS candidate)

Sung Bin Kim: 

USC Dornsife Undergraduate Neuroscience Program; USC Viterbi- Computer Science

Haoteng Tang: LONI-QC (MRI quality control), evaluation of MRI quality

Currently at University of Pittsburgh- PhD candidate;  USC Viterbi Biomedical Engineering, MS 

Zhe Jessie Sun: Machine learning in postlingual deafness and cochlear implant

Currently at NYU- PhD candidate; USC Keck- Neuroimaging and Informatics, MS 

Mengjia Hu: Cortical thickness morphometry in Parkinson's disease

USC Leonard Davis School of Gerontology- MSG

Ishaan Batta: Brain regional age prediction Currently at Georgia Tech - Electrical and Computer Engineering PhD candidate                             

Sravani Anne: Deep learning of polysomnography data to detect sleep apnea events

Currently at Amazon                         

Wesley Surento: High-resolution image reconstruction using CNN

Currently at USC- Imaging Genetics Center                         


Feifei Xu: Cortical thickness and covariance on postmortem fetal brain MRI

Currently at Shandong University, PhD candidate


Zixi Huang: Cortical thickness morphometry in Parkinson's disease


Justin Kim: Quality control of NEOCIVET, cortical thickness in neonates

Currently at NYU

Eugene Lee: Segmentation of neonatal hippocampus, hippocampal development

UCLA, Biology