AI-ReHaB Program Highlights
During AI-ReHaB, REU, students can expect to develop their AI knowledge in trending fields related to the healthcare industry by leveraging sensing, machine learning algorithms, and biomedical techniques to develop advanced models and equipment.
- Research Projects: Students design and complete an independent project with faculty and graduate mentors, presenting their work at the REU Symposium.
- Professional Development: Develop your AI knowledge in emerging fields related to healthcare and security through cohort sessions, literature review seminars, and guest speakers. Build skill through practice presentations, career panels with STEM professionals, and cross-disciplinary collaborations.
- Personal Growth: Learn teamwork through group excursions, and develop discipline through local activities and access to world-class rowing.
Focus Areas of Research
Adaptable Monitoring Systems
We explore novel optical device architecture for spectroscopy detection with thin film electronics, as well as quantification of signals and how existing systems can be improved using AI.
Multimodal Sensors
Students will explore multimodal sensor design and implementation for detecting health deterioration in critical areas such as cardiac or mobility issues. Students will incorporate AI to help improve sensor performance and detection rates.
IoT Infrastructure in Smart Health
We explore novel IoT sensing equipment for real-world detection and evaluation of mental fatigue in patients, exploring how to improve the design of such sensors through the use of AI technologies.
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