Project: Real-time brain state classification
Using machine learning to conduct brain state classification at real-time on EEG/fNIRS/fMRI data.
This project is sponsored by Department of Statistics.
Faculty Advisors
- Professor Xiaofu He
- Department/School: Psychiatry/CUMC
- Location: CUMC
Project timeline
- Start date: 06/25/2018
- End date: 08/24/2018
- Number of hours per week of research expected: >20
Candidate requirements
- Skill sets: Machine learning (such as SVM and deep learning), image processing & analysis, statistics (such as regression), and programming (shell script, Matlab, and Python)
- Student eligibility (as of Spring 2018):
freshman,sophomore,junior,senior, master’s - International students on F1 or J1 visa: eligible