User-Centered Optimization
Team Advisor/PI
Project Description/Research Team Goals
Our lab's research focuses on engineering personalized human-AI interfaces for health and accessibility applications. Our projects leverage biosignals measured from sensors in, on, or around the body to develop closed-loop human-machine systems that are personalized to each user’s physical characteristics, with a focus on people with movement disabilities and/or chronic conditions.
Issues Addressed
Optimization, user-centered engineering, health, accessibility
Research Methods and Technology
Human subject experiments, data-driven modeling, quantitative and qualitative analysis.
Preferred Undergraduate Interests
Prior experience with programming languages (Python, C++, JavaScript), coursework in signal processing, strong written and verbal communication skills.
Academic Majors of Interest
Though open to all, most interested in - Electrical and Computer Engineering, Computer Science, Bioengineering, Data Science
Prior Preparation/Requisite Experience
Willingness to learn new skills (programming, writing), interact with human participants, and to work both independently and as a team.
Compensation
Yes
Course Credit
ELEC 490
Team Meeting
Biweekly lab meetings. Biweekly 1-1 meetings with graduate student mentor.
Actively Onboarding New Members
Yes
Ready to Apply?
Use the linked Google Form to submit your application!
Contact
Please fill out the Prospective Undergrad form or email Dr. Yamagami (momona@rice.edu).