About the NSF REU Site
The AI-ReHab NSF REU site focuses on developing and improving AI and sensor technology for the betterment of healthcare. We explore innovative technology regarding machine learning, health sensor design, and improvement, amongst others, to accomplish this task.
About AI-ReHab
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. The students will work in state-of-the-art laboratories alongside experienced mentors in interdisciplinary fields. They will work alongside graduate mentors to design modern solutions to this field’s critical problems.
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.