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
Contact
Please fill out the Prospective Undergrad form or email Dr. Yamagami (momona@rice.edu).