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 🇰🇷. He leads the Healthcare & AI Lab 🧠🤖. Previously, he worked as a Staff Engineer at Samsung Research 📱. Dr. Choi earned his Ph.D. in Biomedical Engineering from Seoul National University 🎓, focusing on sleep monitoring using deep neural networks 😴🔍. His research interests include biomedical signal processing, AI for healthcare, and IoT systems 🌐. He has published extensively on sleep engineering, neural networks, and health monitoring technologies 📊📚.

Publication Profile

Orcid

Education

Assist. Prof. Dr. Sang Ho Choi is a skilled academic with a Ph.D. in Biomedical Engineering from Seoul National University (2014–2020), 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 (2009–2014). He was mentored by Prof. Chang Hyun Choi and Prof. Jitae Shin. His work integrates bioengineering and innovative neural network technologies. 🧠💻🎓

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. 🧠💡📡🤖

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. 🧠💡🩺🤖💻

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. 🧠💡🤖💊🔬

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. 🧠📡💡💤👩‍⚕️

Publication Top Notes

Biomedical Signal Processing and Health Monitoring Based on Sensors

Spiking neural networks for biomedical signal analysis

Amygdala resting-state functional connectivity alterations in patients with chronic insomnia disorder: correlation with electroencephalography beta power during sleep

Technologies for sleep monitoring at home: wearables and nearables

Hybrid CNN-LSTM Network for Real-Time Apnea-Hypopnea Event Detection Based on IR-UWB Radar

Long Short-Term Memory Networks for Unconstrained Sleep Stage Classification Using Polyvinylidene Fluoride Film Sensor

Sleep-Dependent Directional Coupling of Cardiorespiratory System in Patients With Obstructive Sleep Apnea

Susan Gonya | Medicine and Health Sciences | Best Researcher Award

Ms Susan Gonya, University of New Hampshire, United States

Based on Ms. Susan Gonya’s background, she seems to be a strong candidate for the Best Researcher Award due to her extensive research, diverse professional experience, and significant contributions to public health and safety. Here’s a breakdown of her qualifications:

Education 📚

Ms. Susan Gonya holds multiple degrees with top grades, including a Master of Science in Evidence-Based Practice from the University of New Hampshire and a Master of Arts in Nutrition Education and Clinical Nutrition from Immaculata University. Her academic background underscores a deep commitment to learning and research excellence.

Research Interests and Contributions 🔬

Her research focuses on dietary mold contaminants and their effects on infants and children. She investigates mycotoxins in the food supply and their impact on human health, aiming to develop mitigation strategies. Her work addresses critical issues in public health and safety and is poised for significant impact, as evidenced by her upcoming manuscript on dietary mycotoxin levels.

Professional Experience 🏥

With over two decades in healthcare, Ms. Gonya has worked as a Critical Care Nurse and Research Dietitian, leading projects on dietary contaminants and improving enteral nutrition interventions. Her roles demonstrate her practical application of research findings and her commitment to improving patient care.