Ms. Soree Hwang | Healthcare Intelligence Awards | Best Sensor for Health Monitoring Award

Ms. Soree Hwang, Korea Institute of Science and Technology (KIST), South Korea

So Ree Hwang is a dedicated researcher in the field of biomedical engineering currently pursuing her Ph.D. at Korea University. She holds a Master’s degree in Design and Engineering from Seoul National University of Science and Technology and a Bachelor’s degree in Mechanical Engineering from Korea Aerospace University. Since May 2022, she has been a student researcher at the Korea Institute of Science and Technology (KIST), where she contributes to the development of AI-based health management platforms, including lifelog acquisition systems and fatigue and stress detection technologies. Her research also focuses on gait analysis and stroke assessment using motion signal processing and wearable devices. So Ree has published numerous papers as a main and co-author in reputable journals such as Sensors, Frontiers in Human Neuroscience, and IEEE journals. Her work integrates machine learning and biomedical signal analysis to advance rehabilitation technologies and health monitoring systems.

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Summary of Suitability for Best Researcher Award – So Ree Hwang

Dr. So Ree Hwang is a highly suitable candidate for the Best Researcher Award in the domain of health monitoring and biomedical engineering, with a strong multidisciplinary background and an impressive portfolio of impactful, AI-integrated sensor-based research.

🎓 Education

Ph.D. in Biomedical Engineering
Korea University, Seoul, Republic of Korea (2021 – Present)
M.S. in Design and Engineering
Seoul National University of Science and Technology, Seoul, Republic of Korea (2018 – 2020)
B.S. in Mechanical Engineering
Korea Aerospace University, Goyang-si, Republic of Korea (2011 – 2017)

💼 Work Experience

Student Researcher – Korea Institute of Science and Technology (KIST)
📍 Seoul, Republic of Korea (2022.05.01 – Present)
- 🧠 Developed a lifelog system and AI-based fatigue/stress management platform
- 🚶‍♂️ Contributed to gait analysis tech for knee disorder recovery
- 🧪 Worked on motion signal-based stroke assessment technologies
Research Intern – Korea Institute of Science and Technology (KIST)
📍 Seoul, Republic of Korea (2020.03.01 – 2021.12.31)
- 🧠 Focused on stroke assessment using motion signal analysis

🏆 Achievements & Research Contributions

📝 8 SCI-indexed papers as main or co-author, including in top journals like Sensors, Frontiers in Human Neuroscience, and IEEE
- 📊 Topics: Gait phase classification, stroke severity assessment, fatigue detection using AI, wearable systems
⚙️ First-author of applied engineering papers on 3D printing and IMU validation
🤖 Integrated machine learning models (CNN-LSTM-Attention, RNNs) into biomedical signal analysis
🧩 Contributed to the advancement of intelligent health monitoring and gait recovery systems

Publication Top Notes:

Prediction of lower extremity multi-joint angles during overground walking by using a single IMU with a low frequency based on an LSTM recurrent neural network

CITED:50

Classification of stroke severity using clinically relevant symmetric gait features based on recursive feature elimination with cross-validation

CITED:20

Classification of gait phases based on a machine learning approach using muscle synergy

CITED:14

Property analysis of photo-polymerization-type 3d-printed structures based on multi-composite materials

CITED:8

Machine learning based abnormal gait classification with IMU considering joint impairment

CITED:5

User-centered Design of a Multi-material 3D Printer

CITED:1

Prof. Shing-Hong Liu, Chaoyang University of Technology, Taiwan

Shing-Hong Liu is an esteemed academic and researcher in the field of biomedical engineering and computer science. He obtained his B.S. degree in Electronic Engineering from Feng-Jia University, Taiwan, in 1990, followed by an M.S. degree in Biomedical Engineering from National Cheng-Kung University in 1992. In 2002, he earned his Ph.D. from the Department of Electrical and Control Engineering at National Chiao-Tung University, Taiwan. Since August 1994, Dr. Liu has been actively involved in academia, initially as a Lecturer in the Department of Biomedical Engineering at Yuanpei University, Taiwan. He progressed to become an Associate Professor from 2002 to 2008. Currently, he holds the position of Distinguished Professor in the Department of Computer Science and Information Engineering at Chaoyang University of Technology. Dr. Liu’s research focuses on biomedical signal processing, artificial intelligence applications in mobile health (mHealth), and the design of biomedical instruments. He has been recognized for his contributions, being named one of the World’s Top 2% Scientists in 2020. His research projects have received substantial funding, totaling NT$36,329,914, and he has authored 59 papers in SCI journals.

Education:

B.S. in Electronic Engineering

Feng-Jia University, Taizhong, Taiwan, R.O.C.
Year of Completion: 1990

M.S. in Biomedical Engineering

National Cheng-Kung University, Tainan, Taiwan, R.O.C.
Year of Completion: 1992

Ph.D. in Electrical and Control Engineering

National Chiao-Tung University, Hsinchu, Taiwan, R.O.C.
Year of Completion: 2002

Work Experience:

Lecturer

Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan, R.O.C.
August 1994 – 2002

Associate Professor

Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan, R.O.C.
2002 – 2008

Distinguished Professor

Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taiwan, R.O.C.
2020 – Present

Achievements:

Shing-Hong Liu has been recognized as one of the World’s Top 2% Scientists in 2020. His research interests focus on biomedical signal processing, artificial intelligence for mHealth applications, and the design of biomedical instruments. He has successfully led projects with a total budget of NT 36,329,914 and has published 59 papers in SCI journals.

Publication top Notes: