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

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