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Thomas Zheng
Bio [2003]
Thomas was born in People's Republic of China in 1975. He spent four of
his teenage years on the island of Guadacanal in Solomon Islands. After
completion of his high school diploma from Solomon Islands, he attended
University of Texas at Austin and obtained a Bachelor of Science degree
in Electrical Engineering in 1998. He is currently a graduate student
in the Electrical and Computer Engineering department from University
of California, San Diego. His research interests are in neural networks,
machine learning, and game theories. He is currently working on a Chinese/Japanese
speech-to-text transcription system based on a new thalama-cortical theory
in neuroscience. One of his long-term goals is to produce a computer GO
program that can compete at a professional level. Furthermore, he competed
in the 2001 AI-Challenge and his associative memory algorithm achieved
top-10 standings in 4 of the 7 contests. At the summer school Thomas demonstrated
that both a Fourier and a Walsh transform can be computed by using a combination
of additive and reversible Cellular Automata. He intends to generalize
this procedure to all Discrete Orthogonal Transforms. In addition, he
is currently a senior engineer in Qualcomm Inc. His professional interests
are in creating intelligent human-to-machine application softwares in
wireless mobile devices, e.g. speech-to-text short messaging service,
etc. He likes to surf, snowboard, golf, play tennis and basketball. He
also wants to visit 100 countries before he turns 50.
Project Title
Studies on Discrete Orthogonal Transform Using Cellular Automata
Abstract
This project is the author's first experimentation with a simple rule-based
system to emulate a Discrete Orthogonal Transform (DOT). The significance
of this study lies in the author's belief that complexities can be manipulated
by using the right set of transformations. Based on the Fast Fourier Transform(FFT)
algorithm, the author postulated two primitive operatives in any DOT:
they are pair-wise addition/subtraction and shuffling operations. The
plan for future studies is to enlarge the search scope and identify other
primitive operators for general DOT's.
Favorite 3-color Cellular Automata
Rule Chosen: 1212312
Additional Information
Zheng, T. "Discrete Orthogonal Transforms Using Cellular
Automata." Presentation at NKS 2004, Boston, MA, 2004.
[abstract]
[materials]
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