In general, I am interested in the process of identifying a problem, analyzing the context, then finding the optimized solution. So far, I have been applying this procedure to computer vision, data science, and economics.

In this exploratory paper, we introduced the definition of a chaotic dynamical system, and covered several classical examples in both real and complex plane. For example, we presented the Julia Set and the Mandelbrot Set with detailed analysis.

We developed an autonomous racing car with VR system support. In particular, I built a real-time lossless system on Jetson with OpenCV and GStreamer to stream synchronized color and depth images over local network.

We developed an efficient three-dimensional data modification tool. In particular, I designed the plane fitting algorithm with Open3D to support large data point cloud recovery and user-friendly annotation.

We analyzed the economic response to Coronavirus at the global level. In particular, I implemented the data collection infrastructure and calculated the larges-scale nearest correlation matrix between top economic entities.

Design and source code from Jon Barron's website.