Research Experience

Neural mechanism between hearing damage and sight promotion

• Department of Biomedical Engineering, Tsinghua University
• Advisor: Prof. Hua Guo
• 2019-09-16 to present

Research:

• Conduct a psychophysical experiment to measure brain changes in hearing-impaired patients using MRI (Ongoing)
• Examine whether auditory neurons in the hearing impaired can be redirected to promote the vision. "””

Human motion transparency perception and simulation interface

• University of Wisconsin-Madison
• Advisor: Prof. Xin Huang
• 2019-08-01 to 2019-09-15

Research:

• Conducted a human psychophysics experiment to measure the perceived speeds of two overlapping visual stimuli that moved at different speeds.
• Developed a MATLAB program to simulate the responses of visual cortical neurons to multiple moving stimuli, taking into consideration of the tuning property of the mean response, trial-by-trial variability, the neural encoding rule, and noise distribution.
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A wireless portable epidural electrical stimulation system for rats

• Department of Biomedical Engineering, Tsinghua University
• 201-07-21 to 2019-07-30
• Advisor: Prof. Bo Hong

Research:

• A hand-made four-channel electrode array implanted above the endocranium of a rat (impedance less than 1 Ohm).
• A mini-size (27mm * 13mm * 7mm), light-weight and multi-channel stimulus controller carried on a rat’s back and controlled by PC wirelessly via Bluetooth.

Eye-tracking algorithm research and implementation

• Chioy Medical Company
• 2019-07-01 to 2019-07-20
• Advisor: Zhongwei Ma (Senior Engineer)

Research:

• Calibration of a binocular camera: output the parameter matrixes and calibrate the accuracy.
• Location of pupils: dynamic recognition of eyes and calculation of the coordinates for the center of eyes.

Emotion classification based on human EEG signals

• Department of Biomedical Engineering, Tsinghua University
• 2018-09-01 to 2019-06-30
• Advisor: Prof. Sen Song

Research:

• Extracted spatial, temporal and frequency domain features from human EEG signals in response to videos, where trials video episodes were rated in four dimensions of emotion: valence, arousal, liking and dominance
• Classified EEG signals using decision trees and machine learning, with best hit accuracy approaching 81%.