Hello, my name is Robin Charles Gilbert and I am a PhD in Industrial Engineering and a former graduate student at the Laboratory of Optimization and Intelligent Systems of the University of Oklahoma. Welcome to my homepage where you will find anything you want to know about me! Feel free to wander anywhere you want on RobinGilbert.com, and enjoy your visit.
About the author
In a nutshell, I graduated in 2004 with a Diploma of Engineering in Mathematics at Polytech’Clermont-Ferrand (formerly CUST) in France. Then I moved to the United States of America where I obtained a Master’s degree in Industrial Engineering at the University of Oklahoma in 2006. In between my transfer to the USA, I worked as an engineer at the IMCCE Institute of the Paris Observatory in 2003 and 2004, and I worked at the Sternberg Astronomical Institute (SAI) of the Moscow State University in 2004. My researches at the Laboratory of Optimization and Intelligent Systems of the University of Oklahoma were on kernel methods and their applications to Support Vector Machines (SVM) and Kalman Filtering. I graduated in May 2010 with a PhD in Industrial Engineering and I am now working as an Analyst for PCI Power Costs, Inc. in Norman, Oklahoma.
Studies and competences
My studies cover probability theory, statistical analysis, stochastic processes, statistical process control, simulation, financial mathematics, operation research, mathematical programming, optimization, network flow analysis, scientific computing, mathematical models in meteorology and mechanics, and the numerical analysis of partial differential equations. My specialties are Artificial Intelligence (AI), mathematical optimization, data mining, and the creation of various mathematical “machines” specially designed to solve common engineering problems. Right now, I am studying different kernel methods and their applications to Support Vector Machines (SVM) and to various tasks of classification and regression found in engineering (surface inspection, tornado prediction, text processing). Disciplines that can benefit from my work are: anomaly detection (in quality control); astronomy (asteroid classification); biomedicine (protein classification); cryptography (pattern recognition); decision aid (classification and prediction schemes); image, speech and text recognition; manufacturing (form inspection); meteorology (tornado prediction); portfolio management; traffic management; and simulation.
Contact information
If you have any question or if you would like to know more about me, do not hesitate to browse my resume and my publications. You can also contact me at webmaster@robingilbert.com, or on my LinkedIn or Facebook profiles.