We are developing a novel approach to early autism detection. Our method includes a set of biometric systems (e.g., gaze, brainwaves, skin response), and a cluster of machine learning algorithms.
Our goal is to deploy the new system in new clinical setup.
Disciplines: Signal Processing; Pattern Recognition
Student Skill-Set Needed: Machine Learning
Compensation: Academic Credit, Salary / Stipend, Volunteer, Work Study
Available: Fall, Spring, Summer
For further information on this opportunity, or to apply, contact:
Faculty Member: Wenyao Xu
Title: Assistant Professor
Department: Computer Science And Engineering