Olac Fuentes
Associate Professor in Computer Science· The University of Texas at El Paso· ofuentes@utep.edu
M.S. degree in Computer Science from the University of Texas at El Paso, in El Paso, Texas, U.S.A.
Ph.D. degree in Computer Science from the University of Rochester, in Rochester, New York, U.S.A.
I am interested in Machine Learning and its applications to Computer Vision, Bioinformatics, Scientific Data Analysis, Robotics, and Natural Language Processing. I lead the Vision and Learning Laboratory (VL-Lab) at UTEP and I am also affiliated with the Interactive Systems Group (ISG).
Computer Science Department
University of Texas at El Paso
El Paso, TX 79968.
E-mail: ofuentes@utep.edu
CCS 3.0412 - Telephone: 915-747-6956
Ph.D. Theses
- Geovany Ramirez, Multi-dimensional Emotion Recognition from Geometry and Color Information, Ph.D. in Computer Science, University of Texas at El Paso, May 2014.
- Jun Zheng, Stochastic Optimization for Learning-based Super-resolution: Algorithms and Applications, Ph.D. in Computer Science, University of Texas at El Paso, December 2010.
- Steven M. Gutstein, Transfer Learning Techniques for Deep Neural Nets,Ph.D. in Computer Science, University of Texas at El Paso, May 2010.
- Juan Carlos Gómez-Carranza, Inverse Active machine Learning in Optimization Processes with Application in Astronomy, Ph.D. in Computer Science, INAOE, February 2007.
- Vittorio Zanella-Palacios, Automated Morphing of Face Images, Ph.D. in Computer Science, INAOE, January 2005.
- José Federico Ramírez-Cruz, Instance and Feature Selection for Instance-Based machine Learning Using Evolutionary Algorithms, Ph.D. in Computer Science, INAOE, October 2003.
- Juan Jaime Sánchez-Escobar, Obtención de la Fase de un Interferograma Empleando Estrategias Evolutivas, Ph.D. in Optics, INAOE, November 2002. (Co-supervised with Sergio Vázquez).
M.S. Theses
- Sumi Dey, Forecasting Space Weather using Deep Learning Techniques , M.S in Computational Science, UTEP, December 2018.
- Jonathan Quijas, Analyzing the Effects of Data Augmentation and Free Parameters for Text Classification with Recurrent Convolutional Neural Networks, M.S in Computer Science, UTEP, May 2017.
- Emmanuel Tafoya, Using Word Embeddings for Text Classification in Positive and Unlabeled Learning, M.S in Computer Science, UTEP, December 2016.
- Luis Ramirez, Single Image Haze Removal, M.S in Computer Science, UTEP, May 2015.
- Shajib Khan, Real-time Eye Gaze Correction for Video Conferencing, M.S in Computer Science, UTEP, December 2013.
- Tariq Iqbal, A Robust Real-time Eye Tracking and Gaze Estimation System using Particle Filters, M.S in Computer Science, UTEP, August 2012.
- Gesuri Ramirez, Assessing Data Quality in a Sensor Network for Environmental Monitoring, M.S in Computer Science, UTEP, November 2011.
- Christopher Cuellar, Prediction of Ribonucleic Acid Secondary Structure using a Heuristic Backtracking Search , M.S in Computer Science, UTEP, November 2011.
- Manali Chakraborty, Real-time Image-based Motion Detection using Color and Structure, M.S in Computer Science, UTEP, December 2009.
- Geovany Ramírez, Detección de Rostros con Aprendizaje Autmático, M.S in Computer Science, INAOE, March 2006.
- Hugo Jair Escalante, Noise-aware Machine Learning Algorithms, M.S in Computer Science, INAOE, February 2006.
- Topilzin Flores Lucero, Stereo Vison Using Evolutionary Algorithms, M.S in Computer Science, INAOE, February 2005.
- José Luis Saul Malagón Borja, Pedestrian Detection using Image Reconstruction with PCA, M.S in Computer Science, INAOE, February 2005.
- Luis Álvarez Ochoa, Extracción de Parámetros de Poblaciones Estelares de Galaxias a Partir de Datos Fotométricos Usando Estrategias Evolutivas, M.S in Computer Science, INAOE, October 2004 (co-supervised with Roberto Terlevich).
- Trilce Procyón Estrada Piedra, Identificación Automática de Poblaciones Estelares a Partir de Espectros Galácticos, M.S in Computer Science, INAOE, October 2004.
- Antonio Salim Maza, Development of Local Vision-based Behaviors for a Robotic Soccer Player, M.S in Computer Science, INAOE, September 2004 (co-supervised with Angélica Muñoz).
- José Edgar Lara Ramírez, Robot Navigation and Map Construction Using Machine Learning and Probabilistic Models, M.S in Computer Science, INAOE, February 2004.
- Carmen Carlota Martínez Gil, Face Recognition using Template-based Methods and Unlabeled Data, M.S in Computer Science, INAOE, January 2004.
- Jorge de la Calleja Mora, Classification of Galaxy Images using Machine Learning and Image Analysis, M.S in Computer Science, INAOE, September 2003.
- María Teresa Orozco-Aguilera, Creación de Atributos Relevantes para la Predicción de Parámetros de Atmósferas Estelares, M.S. in Astrophysics, INAOE, December 2002.
- Oscar Manuel Martínez-Lazalde, Razonamiento con conocimiento incompleto y su aplicación al juego del Dominó, M.S in Computer Science, INAOE, December 2002.
- Thamar Ivette Solorio Martínez, Using Unlabeled Data to Improve Classifier Accuracy, M.S in Computer Science, INAOE, August 2002.
- Juan Carlos Gómez-Carranza, Determinación de Parámetros Orbitales de Galaxias Interactuantes Utilizando Estrategias Evolutivas, M.S. in Astrophysics, INAOE, February 2002. (Co-supervised with Ivanio Puerari).
- Darío César Peregrina-Albores, Seguimiento de Objetos por Medio de Visión Activa, M.S in Computer Science, INAOE, May 2002. (Co-supervised with Leopoldo Altamirano and Miguel Arias).
B.S. Theses
- Jorge de la Calleja Mora, B.S in Computer Science, Clasificación Morfológica de Galaxias usando Aprendizaje Automático, Benemérita Universidad Autónoma de Puebla, August 2002.
- Carmen Carlota Martínez Gil, Comparación de Clasificadores Aplicando la Técnica de Eigenfaces y Realizando Ensambles para la Clasificación de Caras, B.S in Computer Science, Benemérita Universidad Autónoma de Puebla, July 2002.