Mobile Health Bioengineering
Program Schedule

A two-week research experience.

A concise view of the online foundations, onsite lab work, and final presentation flow.

Course Overview

Behavioral Medicine and Bioengineering in Mobile Health
Advancing Health Sensors and Technologies

This course explores the intersection of biology, behavioral medicine, nutrition, and mobile health (mHealth) technologies. Students learn to analyze biological data from wearable sensors and connect behavioral patterns to health outcomes. The course focuses on preventive interventions for cardiovascular disease, obesity, and metabolic health, with particular attention to nutrition and real-time health monitoring.

Key Questions

  • How do biological markers (e.g., heart rate, glucose, cortisol) track health status?
  • What is the relationship between behavior, nutrition, and biological responses?
  • How can wearable sensor data inform behavioral and dietary interventions?
  • What challenges exist in user engagement, data privacy, and ethics?

What You Will Learn

  • Understanding how wearable sensor data reflects physiological states such as heart rate variability, glucose levels, and stress indicators
  • Connecting behavioral patterns (sleep, nutrition, activity) to measurable health outcomes
  • Designing data-driven interventions for preventive healthcare
  • Interpreting real-world biological data using computational and analytical approaches

Program Schedule

A structured combination of online preparation, onsite lab work, and guided research.

June 10–13
Online Preparation (June 10 – June 13)
  • Format: Online (4 days)
  • Dr.-led session: 1 hour per day
  • Mentor session: 2 hours per day
June 14
Onsite Kickoff (June 14)
  • Lab visit
  • Study clinic visit
June 15–19
Onsite Program (June 15 – June 19)

Daily schedule:

9:00 – 11:00 AM

Dr.-led sessions (2 hours)

11:00 AM – 1:00 PM

Lunch break

1:00 – 3:00 PM

Mentor sessions (2 hours)

June 20–28
Independent Research (June 20 – June 28)
  • Data collection
  • Self-directed study
  • Project development
June 29–July 3
Online Sessions (June 29 – July 3)
  • Dr.-led session: 1 hour per day
  • Mentor session: 2 hours per day
Final
Final Presentation
  • Student research presentations
  • Feedback from Dr. Alshurafa and peers

Key Topics

Mobile Health (mHealth) Wearable Sensors Behavioral Medicine Biological Data Health Monitoring Preventive Interventions Stress Management Cardiovascular Diseases Obesity Nutrition & Dietetics Digital Health Technologies

Course Requirements

  • Active participation in all sessions
  • Completion of assignments leading to final research paper
  • Collaboration in research teams
  • Engagement in discussions and seminars

Grading

  • Participation: 10%
  • Assignments: 40%
  • Final Research Paper & Presentation: 50%

Prerequisites

This course is intended for students interested in biology, biomedical engineering, electrical engineering, bioinformatics, pre-med, or preventive medicine. Basic familiarity with biological concepts and data analysis is recommended.

Final Output

  • A full research paper on a real-world health problem
  • A presentation based on research findings
  • Application of wearable sensor data to health interventions

Ready to join the next cohort?

A clear application is the fastest path into the program.

Apply Now

Application Deadline: May 1, 2026