Dr. Pablo Rivas

Pablo Rivas

Adjunct Professor of Computer Science
Postdoctoral Research Scientist
Computer Science Department
School of Engineering & Computer Science (Rogers building)
Baylor University

One Bear Place #97356
Waco, Texas 76798-7356, USA
Phone: +1 (254) 710-3876
Fax: +1 (254) 710-3889
alpha@beta.edu
alpha=Pablo_Rivas_Perea and beta=Baylor

I am an adjunct professor of computer science at Baylor University where I teach Data Structures in C++. I was awarded a 2-year postdoctoral fellowship from CONACYT to do research in large-scale machine learning with applications in image analysis. On this webpage you can find almost the same information you could find in my CV.


Education


Research Interests

I am interested in machine learning and large-scale data mining in big data analytics, large-scale multidimensional multispectral signal analysis, statistical pattern recognition methods, image restoration, image analysis, intelligent software systems, and health-care imaging.

Other areas that have my attention include applied mathematics, numerical optimization, swarm intelligence optimization, evolutionary algorithms, soft computing, fuzzy logic, neural networks, and neurofuzzy systems.

Teaching

Data Structures and Algorithms - CSI 3334
Software design and construction with abstract data types. Description, performance and use of commonly-used algorithms and data structures including lists, trees, and graphs.
[ Spring 2015 | Fall 2014 | Spring 2014 | Fall 2013 ]

Electric Circuits Lab - EE 2151
Basic and advanced electronic equipment for the design of electric circuits. Construction of the following circuits: Series/Parallel, Voltage/Current Divider, Mesh-Current Node-Voltage, First-Order RC, First-Order RL, Second-Order RLC, and Sinusoidal Steady-State Analysis.
[ Summer 2011 | Spring 2011 | Fall 2010 | Spring 2010 | Fall 2009 | Spring 2009 | Fall 2008 ]

Digital Signal Processing
Discrete-time signals and systems, sampling theory, z-transforms, spectral analysis, filter design, applications, and analysis and design of discrete signal processing systems.
[ Fall 2006 ]

Schedule


Publications

Journal Publications

  1. , Erich Baker, Greg Hamerly, and Bryan Shaw, "Detection of Leukocoria using a Soft Fusion of Expert Classifiers under Non-clinical Settings", vol. 14, no. 110, in BMC Ophthalmology. 9/2014. [ bib | .pdf ]
  2. , Juan Cota-Ruiz, Jose-Gerardo Rosiles, "Statistical and Neural Pattern Recognition Methods for Dust Aerosol Detection," in International Journal of Remote Sensing, vol. 34, no. 21, 4/2013. [ bib | .pdf ]
  3. Juan Cota-Ruiz, Jose-Gerardo Rosiles, , Ernesto Sifuentes, "A distributed localization algorithm for wireless sensor networks based on the solutions of spatially-constrained local problems", in Sensors Journal, IEEE, vol. 13, no. 6, 4/2013. [ bib | .pdf ]
  4. , Juan Cota-Ruiz, David Garcia Chaparro, Abel Quezada Carreon, Jose-Gerardo Rosiles, "Forecasting The Demand of Short-Term Electric Power Load with Large-Scale LP-SVR", in Smart Grid and Renewable Energy, vol. 4, 2, 4/2013. [ bib | .pdf ]
  5. , Juan Cota-Ruiz, Jose-Gerardo Rosiles, "An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods", in Pattern Recognition Letters, vol. 34, no. 4, pp. 439-451, 3/2013. [ bib | .pdf ]
  6. , Juan Cota-Ruiz, Jose-Gerardo Rosiles, "A nonlinear least squares quasi-Newton strategy for LP-SVR hyper-parameters selection", in International Journal of Machine Learning and Cybernetics, vol. 5, no. 4, 2/2013. [ bib | .pdf ]
  7. , Juan Cota-Ruiz, J. A. Perez Venzor, David Garcia Chaparro, Jose-Gerardo Rosiles, "LP-SVR Model Selection Using an Inexact Globalized Quasi-Newton Strategy", in Journal of Intelligent Learning Systems and Applications, vol. 5, pp. 19-28, 2/2013. [ bib | .pdf ]
  8. , Juan Cota-Ruiz, David Garcia Chaparro, J. A. Perez Venzor, Abel Quezada Carreon, Jose-Gerardo Rosiles, "Support Vector Machines for Regression: A Succinct Review of Large-Scale and Linear Programming Formulations", in International Journal of Intelligence Science, vol. 3, pp. 5-14, 1/2013. [ bib | .pdf ]
  9. Juan Cota-Ruiz, Jose-Gerardo Rosiles, Ernesto Sifuentes, , "A Low-Complexity Geometric Bilateration Method for Localization in Wireless Sensor Networks and Its Comparison with Least-Squares Methods", in Sensors, vol. 12, pp. 839-862, 1/2012 [ bib | .pdf ]
  10. Mario Ignacio Chacon Murguia, Yearim Quezada-Holguin, , Sergio Cabrera, "Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis", in Pattern Recognition, ed. Jose Francisco Martinez-Trinidad et~al., vol. 6718, Lecture Notes in Computer Science, Springer Berlin Heidelberg, pp. 305-313. 6/2011. [ bib | .pdf ]
  11. , Jose G. Rosiles and Wei Qian, "Subjective Colocalization Analysis with Fuzzy Predicates," in Soft Computing for Intelligent Control and Mobile Robotics, Oscar Castillo, Witold Pedrycz, Janusz Kacprzyk Eds. Computational Intelligence Series of Springer-Verlag. 1/2011. [ bib | .pdf ]
  12. , Jose G. Rosiles, Mario I. Chacon Murguia and James J. Tilton, "Automatic Dust Storm Detection Based on Supervised Classification of Multispectral Data," in Soft Computing for Recognition based on Biometrics, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz Eds. Computational Intelligence Series of Springer-Verlag. 9/2010. [ bib | .pdf ]
  13. M. I. Chacon M., , "Fusion of Fuzzy FFL-KLT and PCNN Features on the Face Recognition Problem," in Dynamics of Continuous, Discrete & Impulsive Systems Journal, Series A: Mathematical Analysis, a Special Issue on Advances in Neural Networks-Theory and Applications, 8/2007. [ bib | .pdf ]
  14. Mario I. Chacon M., , and Graciela Ramirez A., "A Fuzzy Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors," in Engineering Letters Journal, 8/2007. [ bib | .pdf ]
  15. Mario I. Chacon M., Alejandro Zimmerman S., , "Image Processing Applications with a PCNN," in Advances in Neural Networks, Springer LNCS, pp 884-893. 6/2007. [ bib | .pdf ]

Book Chapters

  1. Mario I. Chacon M., , "Face Recognition Based on Human Visual Perception Theories and Unsupervised ANN," Book: "State of The Art in Face Recognition." Publisher: IN-TECH, 436 pages. 2009. [ bib | .pdf ]

Conference Publications

  1. , Ryan Henning, Bryan Shaw, and Greg Hamerly, "Finding the Smallest Circle Containing the Iris in the Denoised Wavelet Domain", Proceedings of the Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on, pp. 13-16, 4/2014. [ bib | .pdf ]
  2. Ryan Henning, , Bryan Shaw, and Greg Hamerly, "A Convolutional Neural Network Approach for Classifying Leukocoria" Proceedings of the Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on, pp. 9-12. 4/2014. [ bib | .pdf ]
  3. Mario Ignacio Chacon Murguia, Yearim Quezada-Holguin, , Sergio Cabrera, "Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis" Proceedings of MCPR 2011, pp 305-313. 5/2011.
  4. , Gerardo Rosiles, "Short Term Electric Power Consumption Forecasting using Linear Programming Support Vector Regression," 1st Southwest Energy Science and Engineering Symposium. 4/2011. [ bib | .pdf ]
  5. , Gerardo Rosiles, "Large-Scale Sonar Target Detection with L_1-Norm SV Regression based on Unfeasible Interior Point Methods," Proceedings of the 2011 ITEA Live-Virtual-Constructive Conference. 1/2011. [ bib | .pdf ]
  6. , Omar Velarde Anaya, Juan De Dios Cota Ruiz, "Performance Evaluation of Classic and Accurate SVD Computation in a Multispectral Image Segmentation Problem," 2010 IEEE CIINDET, 11/2010. [ bib | .pdf ]
  7. ; Rosiles, J. G.; Chacon, M. I.; "Traditional and Neural Probabilistic Multispectral Image Processing for The Dust Aerosol Detection Problem," Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on, pp.169-172, 5/2010. [ bib | .pdf ]
  8. and J. G. Rosiles, "A Probabilistic Model for Stratospheric Soil-Independent Dust Aerosol Detection," in Digital Image Processing and Analysis, Optical Society of America, paper DMD4. 5/2010. [ bib | .pdf ]
  9. Jose G. Rosiles, Mario I. Chacon, M. "A Classic and Neural Probabilistic Approach to Remote Sensing: The Dust Storm Detection Problem," Proceedings of the International Seminar on Computational Intelligence, 1/2010. [ bib | .pdf ]
  10. M. I. Chacon M., and J. G. Rosiles, "A Classic and Neural Probabilistic Approach to the Dust Storm Detection Problem," Proceedings of the 2010 ITEA Live-Virtual-Constructive Conference, 1/2010. [ bib | .pdf ]
  11. J. C. Tilton, and J. G. Rosiles, "Dust Storm Detection Through Moderate Resolution Imaging Spectroradiometer: A Machine Learning Problem," Proceedings of the 2010 ITEA Live-Virtual-Constructive Conference, 1/2010. [ bib | .pdf ]
  12. , Gerardo Rosiles, and Wei Qian, "Fuzzy Predicates from Linguistic Variables for Subjective Quantitative Colocalization Analysis," Proc. 10th U.S. National Congress for Computational Mechanics, 7/2009. [ bib | .pdf ]
  13. , Omar Velarde Anaya, Leonardo Valencia Olvera, Luis Humberto Uribe Chavira, Mario I. Chacon M., Gerardo Rosiles, "Mobile Robot for Face Recognition: A Collaborative Environment," Proc. 2009 High Performance Computing & Simulation Conference, IEEE/ACM/IFIP, 6/2009. [ bib | .pdf ]
  14. , Gerardo Rosiles, and Wei Qian, "Self Organizing Maps for Class Discovery in the Quantitative Colocalization Analysis Feature Space," Proc. 2009 IEEE International Joint Conference on Neural Networks, 6/2009. [ bib | .pdf ]
  15. J.G. Rosiles, W. Qian, "Image Restoration for Quantitative Colocalization: Performance Analysis and Response of Colocalization Coefficients," Proc. 3rd Annual Texas Tech University Health Sciences Center (TTUHSC) Paul L. Foster School of Medicine Research Colloquium, 5/2009.
  16. J.G. Rosiles, W. Qian, "Automatic Quantitative Colocalization Analysis: An Image Restoration and Machine Learning Approach," Proc. 2009 UTEP SACNAS Research Expo, 4/2009.
  17. M. I. Chacon M., and , "Performance Analysis of the Feedforward and SOM Neural Networks in the Face Recognition Problem," Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007). pp. 313-318. Honolulu, Hawaii. 7/2007. [ bib | .pdf ]
  18. Mario I. Chacon M., , and Graciela Ramirez A. "A Fuzzy Logic Clustering Approach For Face Recognition Based on Face Feature Lines and Eigenvectors," IEEE International Seminar on Computational Intelligence ISCI 2006. 10/2006. [ bib | .pdf ]
  19. , M. I. Chacon Murguia, "Face Recognition Using Hough-KLT and a Feed-Forward Backpropagation Neural Network," Proc. XXVIII International Congress on Electronics Engineering, 10/2006. [ bib | .pdf ]
  20. , Mario I. Chacon, "Real Time Motion Detection for Fast Human Identification Based on Face Recognition," Proceedings of the XVI Inter-University Congress on Electronics Computation and Electrical - II Congress of Technological Innovation in Electrical and Electronics, pp 172-177, 4/2006. [ bib | .pdf ]
  21. , M. Chacon, "Evaluation of Motion Detection Methods for Person Identification based on Face Recognition," Proc. XXVII International Congress on Electronics Engineering, 10/2005.
  22. , "In Motion Face Recognition Through Multilayer Perceptrons," IEEE/ANaCC/cenidet Proc. of the 11th International Congress on Computer Science Research. 11/2004.
  23. , "Slimmer, a Security Mobile Agent for User Authentication on 802.11 WLAN Environments," IEEE/ANaCC/cenidet Proc. of the 10th International Congress on Computer Science Research, 10/2003.

Funding

Projects where I am the principal investigator (Total: $120,837.20)


Projects where I am not the principal investigator (Total: $131,455.60)


Professional Associations


Professional Service


Awards


Short Autobiography

Nice to meet you, I am Pablo Rivas. I am a professional member of the ACM and IEEE. My degrees are in computer science (B.S. ’03), electrical engineering (M.S. ’07), and electrical and computer engineering (Ph.D. ’11 from the University of Texas at El Paso). Currently, I am enjoying working as a Postdoc at the Computer Science Department at Baylor University, where I have the privilege of teaching data structures too.
At Baylor I have the opportunity to work in different aspects of machine learning, data science, big data, and large-scale pattern recognition. Perhaps you have heard on NPR about one of our most recent projects on the detection of leukocoria (see leuko.net for more info), where we used deep learning and image-processing techniques, which is fascinating for me. Another recent research project originated after an internship at NASA Goddard Space Flight Center where I worked in the detection of a particular kind of atmospheric particle using different machine learning methods. I currently work to make this remote sensing project available on-line in real time.
In the past I worked as Software Engineer for about 8 years; thus, I am familiar with databases and SQL queries, as well as with programming languages, particularly C++, visual basic, but I like to use MATLAB in order to save time when developing the prototypes of my algorithms.
I am humbled by the recognition I have received for my creativity and academic excellence; for instance, I received the IEEE Student Enterprise Award in 2007, and the Research Excellence Award from the Paul L. Foster Health Sciences School of Medicine of Texas Tech University in 2009. In 2011, I had the honor of being inducted to the International Honor Society Eta Kappa Nu (HKN).
When I am not having fun doing research or teaching, I also like to play basketball, code, eat pizza with friends, or go to the movie theater with my beautify wife Nancy.
Please feel free to contact me if you have any questions or want to collaborate.

Work Experience

Adjunct Professor of Computer Science @ Baylor University ~ 2013 - to-date

Post-Doctoral Research Scientist @ Baylor University ~ 2012 - to-date

Teaching Assistant @ The University of Texas at El Paso ~ 2008 - 2010

Graduate Research Intern @ NASA Goddard Space Flight Center ~ 2009

Systems Integrator Engineer @ TRW Automotive ~ 2000 - 2008

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Copyright © 2015 Pablo Rivas
Computer Science Department
Baylor University

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