Academic research program.
Work to the standards of academic research: frame a precise question, weigh the evidence critically, and build an argument that holds up to expert scrutiny.
Students author their own research manuscript. Journal submission and acceptance are separate steps, not guaranteed outcomes.
Direct feedback and ongoing guidance from scholars active at top global institutions.
Start with what you want to investigate. Develop your own research question and write your own paper, with professor and TA guidance on methods, evidence and revision. The course theme is a starting point—not a predetermined paper to reproduce.
Applications & feesProgram at a glance
See the dates and teaching schedule for this cohort.
Students work toward their own research manuscript. Journal submission and acceptance are separate steps; publication and university admission are not guaranteed.
Course Description: Mobile Health (mHealth), Wearable Sensors, Biological Data and Behavioral Interventions, Preventive Health Technology, Stress Management, Cardiovascular Disease, Obesity
Students curious about how smartwatches and fitness trackers monitor health in real-time. • Potential Topic: Analyze heart rate variability data from wearable devices to identify stress patterns and design simple intervention strategies. Students interested in using technology to change health behaviors like diet and exercise. • Potential Topic: Develop a wearable-based intervention system that detects overeating episodes using sensor data and delivers personalized behavioral nudges. Students aiming to innovate next-generation health technology for chronic disease prevention. • Potential Topic: Design a multi-sensor wearable platform that integrates physiological signals, environmental context, and machine learning to predict and prevent cardiovascular events in high-risk populations.
Data Science, Engineering, Psychology | Biomedical Engineering, Data Analysis, Health Technology, Interdisciplinary Research, Machine Learning, Wearable Sensors