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.

Professional Profile:

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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

Mrs. Ghaida Balhareth, Florida Atlantic University, United States

Ghaida M. Balhareth is a Ph.D. candidate in Computer Science at Florida Atlantic University, Florida, USA, where she has been pursuing her studies since 2021. With a Master’s degree in Computer Science from Clark Atlanta University (2017) and a Bachelor’s degree in Computer Science from King Faisal University in Saudi Arabia (2008), she brings over 14 years of academic and teaching experience. Ghaida has held multiple leadership and committee roles, including serving as a Teaching Assistant at Florida Atlantic University since Fall 2023, and previously as the Coordinator of the Information System Department at Najran University from 2019 to 2020. Additionally, she has contributed to various committees, such as the Disciplinary Committee and Alumni Unit. Her research interests focus on IoT security, blockchain technology, and machine learning applications in the Internet of Medical Things (IoMT). Ghaida has published several papers, including contributions to the IEEE conferences and the International Multi-Conferences on Complexity, Information, and Cybernetics.

Summary of Suitability for Best Researcher Award

Ms. Ghaida M. Balhareth has demonstrated significant academic and professional contributions that make her a strong candidate for the Best Researcher Award. She is currently pursuing a Ph.D. in Computer Science at Florida Atlantic University and has earned a Master’s degree in the same field. Her fourteen years of experience in teaching and various academic roles demonstrate her leadership, commitment to education, and skill development.

WORK EXPERIENCE

Teaching Assistant
Florida Atlantic University (Fall 2023 – Present)

Coordinator, Information System Department
Najran University (2019 – 2020)

Member, Disciplinary Committee
Najran University (2018 – 2020)

Coordinator, Alumni Unit
Najran University (2018 – Present)

Coordinator, Computer Labs and Halls Committee
Najran University (2018 – Present)

Member, Exams Committee
Najran University (2012)

Member, Control Committee, The National Center for Assessment in Higher Education (Qiyas)
(2011 – 2013)

Teacher Assistant
Najran University, College of Computer Science and Information Systems (2009 – Present)

Computer Teacher
Ministry of Education, Second High School (2008 – 2009)