Xin Li
Location: (Pittsburgh, PA)
Personal Research Web Page: http://www.ece.cmu.edu/~xinli/
Keywords: Computer Aided Design, Neural Signal Processing, Machine Learning
Posted on: Sunday, June 7th, 2009
Broad Research Area: AI / Machine Learning / Robotics / Vision, Numerical/Scientific Computing / HPC / Data-Intensive Scalable Computing, Scientific/Medical Informatics
Research Interests:
* Brain Computer Interface
We work with UPMC (University of Pittsburgh Medical Center) to analyze electrical and magnetic signals from human brain. Our goal is to help the patient to re-gain a number of physical activities, even if his/her neuron system is partially damaged. For example, a patient can control a computer just by “thinking”, instead of using a keyboard/mouse. This project involves various aspects of signal processing, machine learning and hardware implementation.
* Improving Circuit Design via Computational Thinking
We apply statistical machine learning to model, analyze and optimize large-scale integrated circuits. Our goal is to maximize circuit performance, improve circuit robustness and reduce manufacturing cost. This project involves various aspects of circuit design, regression modeling, yield prediction and stochastic optimization.
