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In this project, we implemented both neural network modle and physical reflection model to esimate the occupancy of a space for smart lighting. We use perturbation-modulated method to compute the light transport matrix, through which we can estimate the occupancy.
My work is: (1) Transfer the system(reflection model) from testbed to our much bigger smart conference room. (2) Develop the algorithm for the regression method with neural network. (3) Implement a new multidirectional "compoud eye" sensor.
The website of our project.

OCCUPANCY DETECTION BASED ON COLOR SENSORS

Computer Vision/ Machine Learning/ Smart Lighting/ Occupancy Estimation/ Color Sensor

Rensselaer Polytechnic Institute, Troy, NY

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This is my final project for Prof. Arthur Sanderson's course Pattern Recognition. In this project, I showed a demo based on neural network to classify the genre of a song, after listening the song for 30 secones. Demo

MUSIC GENRES RECOGNITION

Machine Learning/ Patter Recognition/ MATLAB

Rensselaer Polytechnic Institute, Troy, NY


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This is my final project for Prof. Qiang Ji's course Computer Vision. I set up a system to recover the 3D properties of the object using a laser line based on the active stereo vision technique. I implemnted a method to compute the plane of the line laser, so the laser is free to scan over the object from multiple angles. Download the report here

3D SCANNER

Computer Vision/ MATLAB

Rensselaer Polytechnic Institute, Troy, NY

This is my final project of the course EC512 in Boston University. Details are coming soon...

RESTAURANT REVIEW WEBSITE

PHP/ Ajax/ SQL/ Java/ Visual Studio

Boston University, Boston, MA

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This is my master's project in Boston University. Details are coming soon...

PLL and 3D SUBSTRATE NOISE MODEL

Analog/ RF/ Cadence

Boston University, Boston, MA

ENGR 2500, Electronic Instrumentation, Fall 2014
ECSE 2050, Introduction to Electronics, Fall 2014

TEACHING EXPERIENCE

Rensselaer Polytechnic Institute, Troy, NY