Hwan Tae Park

Dr. Hyuntae Park is the former dean of the College of Health Sciences at Dong-A University and currently serves as the director of the Office of External and International Affairs. His international research career at the Tokyo Metropolitan Institute for Gerontology (TMIG) and as head of the Exercise Function Activation Laboratory at Japan's National Center for Geriatrics and Gerontology (NCGG) has established him as a distinguished expert in elderly health.

Dr. Park is an authority in exercise science and digital healthcare, playing a pioneering role in analyzing the pathological mechanisms of age-related conditions such as dementia and sarcopenia, and developing innovative digital therapeutic technologies for their prevention. His research focuses on developing high-precision disease prediction models through time-series analysis of multimodal biodata collected from accelerometers, wearable sensors, and mobile devices, utilizing machine learning algorithms.

He integrates neurophysiological exercise science principles with advanced digital health technologies to provide innovative solutions for early biomarker identification and prevention of age-related diseases. Dr. Park's digital healthcare-based exercise intervention technology aims to activate neuromuscular function and enhance cognitive abilities in older adults, creating systems that deliver real-time personalized exercise prescriptions through clinically-validated algorithms. His multidisciplinary approach has been implemented as practical intervention protocols that integrate non-invasive biosignal monitoring with big data analytics.

Drawing on his profound academic knowledge and clinical experience in exercise physiology and digital healthcare, Dr. Park has developed advanced analytical algorithms for biomechanical data collected from wearable devices, building predictive models for early detection and delayed progression of age-related diseases. Through longitudinal studies of elderly community cohorts, he has elucidated the correlation between physical activity patterns and cognitive function changes, earning recognition for his innovative research achievements in international journals and academic societies.