People

Researcher

Huang, Jun    高级研究员

Email:

huangj@mail.sustc.edu.cn

Office:

Room 1002 , Building A7, i-Park

Research Area:

Artificial intelligent optimization and learning with emphasis on swarm robotic implementation and its applications

Educational Background

1993, joined Ph.D from Southeast University and Concordia University

 


Professional Experience

Worked for Lockheed Martin USA, Bell Canada and their affiliates, Jiangsu Universities in China.  

Honors & Awards

Educational Roll of Ottawa University, Adjunct Professor at Carleton University

Selected Publication

Others

Following his academic ancestor Johann Carl Friedrich Gauss on Ph.D Genealogy, Steed has extended Lorentz transformation into fractal Gaussian Finsler time space to cover quantum entanglement superluminal phenomenon found in Bell experiment. His encryption algorithms are based on fractal Gaussian chessboard number, twin prime, digital black hole, Fibonacci prime, Goldbach prime, Cunningham arithmetic prime or transcendental number. Mean while he also extended standard Gaussian deviation and covariance to cover fractal deviation and multiple element covariance for quantum composited Gaussian distribution found in biological antioxidant fluorescent catalyst that he discovered for extending pesticide residue detection limitation.