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

Mr. CEYHUN YILMAZ, Sakarya University, Turkey

Assoc. Prof. Dr. Ceyhun Yılmaz is a distinguished mechanical engineer specializing in thermodynamic modeling, renewable energy systems, and hydrogen fuel cells. He earned his Ph.D., M.Sc., and B.Sc. in Mechanical Engineering (English) from the University of Gaziantep. With over a decade of academic and research experience, he has served as a Research Assistant, Assistant Professor, and now an Associate Professor at Afyon Kocatepe University. His expertise includes thermoeconomic analysis, optimization of energy systems, and hydrogen production technologies. Dr. Yılmaz has supervised multiple graduate theses and led numerous TÜBİTAK-funded projects on sustainable energy solutions. He is an active member of ASME and the Turkish Thermal Science and Technique Association, contributing to high-impact scientific publications in top-tier journals. His dedication to advancing energy technologies continues to make a significant impact in the field.

Suitability for Best Researcher Award

Assoc. Prof. Dr. Ceyhun Yılmaz has extensive experience in mechanical engineering, energy systems, and thermoeconomic optimization. His contributions to hydrogen fuel cells, renewable energy, and sustainability demonstrate significant impact in his field. Given his strong academic background, leadership in research, and international training, he is a strong candidate for the Best Researcher Award.

Education 🎓

Bachelor of Science in Mechanical Engineering (English)
University of Gaziantep, 2009

Master of Science in Mechanical Engineering (English)
University of Gaziantep, 2011

Ph.D. in Mechanical Engineering (English)
University of Gaziantep, 2016
(Includes training at American Mechanical Engineering Society-Hydrogen and Fuel Cell, San Diego, USA, 2014 – 5 months)

Achievements 🏆

Supervised several Ph.D. and M.Sc. theses, including:

Ömer Faruk Güler: Numerical Modeling of Hydrogen PEM Fuel Cell and Thermoeconomic Optimization (Ph.D., 2022)
Muhammed Arslan: Thermodynamic Modeling of a Biogas Power Plant (Ph.D., 2022)
Ozan Şen: Thermoeconomic Analysis of Geothermal and Solar Energy (M.Sc., 2021)
Ali Hasan Abbas: Thermodynamic Analysis of Natural Gas Liquefaction (M.Sc., 2021)

Involved in multiple TÜBİTAK projects (Turkey’s scientific and technological research body), including:

Hydrogen Production Simulation using renewable energy and water electrolysis (2022-2023)
Concentrated Solar Collector for Afyon Province solar data (2022-2023)
Vanadium Redox Flow Battery Performance Evaluation (2023-2025)