Biography

I was born and raised in Cuauhtemoc, Chihuahua, Mexico. In the Fall of 1999, I began my undergraduate studies in Computer Systems Engineering at the College of Engineering of the Autonomous University of Chihuahua.

Then, I started my masters degree in Statistics at the Department of Mathematical Sciences of the University of Texas at El Paso (UTEP). I continued my graduate studies in the Computer Engineering Ph.D. program of the UTEP's Department of Electrical and Computer Engineering. In both cases my advisor was Dr. Patricia Nava.

Once that I got my Ph.D. I was hired by Dr. Ming-Ying Leung as Post Doctoral Researcher for the Bioinformatics Program of UTEP.

If you wish, you can learn more about my qualifications by reading my CV and/or my statement of teaching and research interests.

Education

Computer Systems Engineering, B.S., College of Engineering, Autonomous University of Chihuahua. Fall 1995 - Fall 1999
Statistics, M.S., Department of Mathematical Sciences, University of Texas at El Paso. Spring 2000 - Fall 2001
Computer Engineering, Ph. D., Department of Electrical and Computer Engineering, University of Texas at El Paso. Spring 2002 - Spring 2005

Research Interests

Prediction of Replication Origins in herpes Viruses using Soft Computing Methods

I'm collaborating with Dr. Leung in this project right now.

The methods that we have used to predict replication origins in Herperviruses and Caudoviruses are Artificial Neural Networks (2006 Informs Conference in Optimization and Health Care, San Antonio, TX) and LS-Support Vector Machines.

Applications of Fuzzy Logic:

Here is a Power Point Presentation about how to use of Fuzzy logic to create a rat sleep-stage classification system. Also, here is a photo of the team. Dr. Rafael Cabeza used to be our contact in the Biology Department.

Application of Artificial Neural Networks

I collaborated with Dr. Soheil Nazarian, of the Civil Engineering Department of UTEP. One of his research lines deals with the use of neural networks to model pavement behavior under different circumstances.

Also, in my master's thesis, "Markov Chain Monte Carlo Methods for Neural Networks" it can be seen how neural networks can be applied to predict the position of a robotic arm.

Applications of Neuro-fuzzy systems

Both, my Ph. D. dissertation "Creation and Optimization of Fuzzy Inference Neural Networks" and the paper "Rule Extraction and Optimization for Rat Sleep-Stage Classification" (Proceedings of the MLMTA'05) are examples of how fuzzy logic and neural networks can be combined.

EE 3438 "Electronic Networks" Spring 2007

Matlab program to plot the Shockley Equation.

BINF 5112 "Computer Science for Bioinformatics" Spring 2007

The plan for the semester is here.
Presentation papers.

EE 3438 "Electronic Networks" Fall 2006

Matlab program to plot the Shockley Equation.
Chapther #4 Exam.

BINF 5112 "Computer Science for Bioinformatics" Spring 2006

The plan for the semester is here.
The material covered in the first 2 sessions is here. The function created are: "my_function2.m" and "my_line.m"
In the 3rd session we created some graphs using this function.
We will study the problem of feature extraction in the 4th session.
Some machine learning methods will also be studied.