sang ho choi | Medicine and Health Sciences | Best Researcher Award
Assist. Prof. Dr sang ho choi, Kwangwoon University, South Korea
Assist. Prof. Dr. Sang Ho Choi is an expert in biomedical engineering and artificial intelligence, currently serving as an Assistant Professor at Kwangwoon University, Seoul, Korea π°π·. He leads the Healthcare & AI Lab π§ π€. Previously, he worked as a Staff Engineer at Samsung Research π±. Dr. Choi earned his Ph.D. in Biomedical Engineering from Seoul National University π, focusing on sleep monitoring using deep neural networks π΄π. His research interests include biomedical signal processing, AI for healthcare, and IoT systems π. He has published extensively on sleep engineering, neural networks, and health monitoring technologies ππ.
Publication Profile
Education
Assist. Prof. Dr. Sang Ho Choi is a skilled academic with a Ph.D. in Biomedical Engineering from Seoul National University (2014β2020), where he specialized in unconstrained sleep monitoring and modulation using deep neural networks and closed-loop stimulation. He conducted his research under the guidance of Prof. Kwang Suk Park. Prior to this, he earned a B.S. in Bio-mechatronic Engineering, with a double major in Electronic and Electrical Engineering, from Sungkyunkwan University (2009β2014). He was mentored by Prof. Chang Hyun Choi and Prof. Jitae Shin. His work integrates bioengineering and innovative neural network technologies. π§ π»π
Experience
The research initiatives include groundbreaking work in neuro-chip design and neuro-computing platforms, simulating the human nervous system, funded by the Ministry of Science and ICT (MSIT) Korea (Jul 2022 – Dec 2029) as Co-PI. Another project focuses on intelligent biomedical wireless power transfer, under the National Research Foundation of Korea (NRF) (Mar 2022 – Feb 2024), also as Co-PI. Additionally, the development of AI-based vital signal and sleep monitoring technology using UWB radar is being led as PI (Jul 2021 – Feb 2023) by the NRF. These innovative efforts aim to revolutionize healthcare technology. π§ π‘π‘π€
Research Interest
Assist. Prof. Dr. Sang Ho Choi specializes in biomedical signal processing and analysis, with a strong focus on Artificial Intelligence (AI) applications for biomedical engineering and deep learning. His research spans areas like sleep engineering, healthcare systems, and the integration of Internet of Things (IoT) systems to enhance healthcare outcomes. By leveraging advanced AI techniques, Dr. Choi explores innovative solutions for improving diagnostics, treatment processes, and patient care efficiency. His work aims to merge technology with healthcare, contributing significantly to the future of smart, data-driven medical systems. π§ π‘π©Ίπ€π»
Ongoing Projects
Assist. Prof. Dr. Sang Ho Choi is a Co-PI on significant national projects funded by Korea’s MSIT and NRF, leading innovative research in the fields of neuro-chip design and AI-driven health monitoring technologies. His work is shaping the future of healthcare by integrating advanced neurotechnology with artificial intelligence. With a passion for cutting-edge scientific advancements, Dr. Choi’s contributions are paving the way for transformative breakthroughs in medical devices and digital health. His dedication to improving healthcare through technological innovation continues to inspire and drive progress in the industry. π§ π‘π€ππ¬
Research Focus
Assist. Prof. Dr. Sang Ho Choi’s research primarily focuses on biomedical signal processing and health monitoring using advanced sensor technologies. His work includes exploring wearable devices for sleep monitoring, studying the functional connectivity of the amygdala in chronic insomnia patients, and utilizing spiking neural networks for analyzing biomedical signals. He also investigates real-time detection systems, like apnea-hypopnea event detection using radar sensors, and continues to push the boundaries of sensor-based health technologies. His contributions extend to neuroengineering and biomedical engineering, aiming to enhance the accuracy and efficiency of health monitoring systems. π§ π‘π‘π€π©ββοΈ