교수 정보 (Faculty Information)
이름 (Name)
Nabil Alshurafa
Institution
Northwestern University
profile
Professor CV→
- Director of HABits Lab, University of Northwestern
- Technical Program Committee member for the IEEE International Conference on Pervasive Computing (PerCom)
- Editor for the Journal of Biomedical and Health Informatics
프로그램 개요 (Program Overview)
“Advancing Mobile Health: Engineering, Medicine, and Behavioral Science for Next-Generation Health Solutions!”
— Korea’s first on-site research program bringing world-class scholars directly to students! In three intensive weeks, students will explore mobile health innovations, including wearable health sensors, data analysis, and preventive health technologies, gaining hands-on experience with real-world applications in health monitoring and chronic disease prevention.
*Last updated on November 1, 2025. The professor will adjust the final version based on the actual student backgrounds and interests.
프로그램 상세 설명 (Program Details)
Program Objectives
- Over three weeks, explore bioengineering and behavioral medicine, guided by leading scholars, to understand the science behind mobile health (mHealth) and wearable technologies.
- Master data collection and analysis techniques from wearable sensors, gaining insights into how real-time biological data informs preventive health interventions.
- Develop a research project with personalized guidance from professors, focusing on a health issue such as cardiovascular disease, obesity, or metabolic disorders, and apply mHealth solutions for measurable impact.
Program Duration: July 28, 2025 - August 7, 2025, Seoul, Onsite
Key Learning Content
- Lecture Session - Learning
- Introduction to Mobile Health and Wearable Technology
- Biological Data and Health Monitoring with Sensors
- Behavioral Interventions and Preventive Health
- Nutrition, Diet, and Chronic Disease Prevention
- Ethics, Privacy, and Data Management in Health Technology
- Research Project Activities - Practice & Application
- Collaborate with professors on a research-based project: identify a research question, conduct a literature review, design an experiment, collect and analyze sensor data, and interpret results for a final presentation.
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