I finished a Bachelors of Science in Computer Enginering from the University of Puerto Rico - Mayaguez in 1988. After working as an engineering for thre years, in 1991 I came to the US to work on my PhD, I completed my Ph.D. in Computer Science from the City University of New York in 1999. My main research interest is in neural networks for human-like tasks. My PhD dissertation dealt with computer-based parsing and semantic analysis of English sentences. I am currently using neural networks and deep learning to study human morpho-semantic processing theories. I am also interested in the Open Software movement and its effect on society and economics, as well as Big Data and privacy issues. I actively look at how to incorporate dialogic techniques into classroom teaching, as well as the effect of different curricula and approaches for introductory computer science courses.
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Above image created with Cameron Smith's Python implementation of the convolutional neural network originally presented by Gatys, Ecker, and Bethge in their paper A Neural Algorithm of Artistic Style. Code available at https://github.com/cysmith/neural-style-tf . Original images used: photograph by Roberto del Valle, El Velorio by Francisco Oller, The Sculptor by Pablo Picasso, Composition VII by Wassily Kandinsky, Self Portrait with Necklace of Thorns by Frida Kahlo, Starry Night by Vincent van Gogh, We Can Do It! by J. Howard Miller, The Problem We All Live With by Norman Rockwell, and The Scream by Edvard Munch. Code executed on Hampshire College School of Cognitive Science GPU system (SuperMicro 1028GR-TR with dual E5-2603 v4 processors, 256GB of PC4-1700 ECC Registered RAM and two NVIDIA Tesla K40M GPU Computing Accelerators.)