Advanced Research in Biomedical Engineering
Academic research program.
Program Overview
Rigorous Methodology
Develop advanced data collection and analysis skills under strict academic standards.
Publication Output
Students author their own research manuscript. Journal submission and acceptance are separate steps, not guaranteed outcomes.
Expert Mentorship
Direct feedback and ongoing guidance from scholars active at top global institutions.
Your interests.
Your question. Your paper.
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
- Who it is for
- Rising Grade 9 through university students.
- Learning format
- In person (Onsite)
- Professor instruction
- 30 hours
- TA guidance
- 20 hours
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
Ideal Students
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.
Potential Research Topics
Data Science, Engineering, Psychology | Biomedical Engineering, Data Analysis, Health Technology, Interdisciplinary Research, Machine Learning, Wearable Sensors
Program Details
Duration
Jul 7, 2026 – Jul 17, 2026
Cohort Capacity
10 Students
Delivery Format
In person (Onsite)
Program tuition
$8,580 USD
Tuition is separate from the $50 USD application fee. Ask admissions about payment timing, inclusions and cancellation terms before applying.
Applications are reviewed for research readiness and fit. A place is confirmed only after an admissions decision.
Application steps and fee informationCancellation and refund policyBrowse upcoming programs