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Michael S. Gashler

Michael S. Gashler

Assistant Professor

College of Engineering

(CSCE)-Computer Science & Computer Engineering

Phone: 479-575-4382

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Michael S. Gashler is an assistant professor in the department of Computer Science and Computer Engineering at the University of Arkansas. He studies in the field of machine learning, and is particularly interested in methods that enable machines to perceive and understand high-dimensional observations, and to operate effectively in circumstances that were not anticipated a priori by the programmer. He earned his Ph.D. in machine learning and non-linear dimensionality reduction from Brigham Young University in 2012. He is the architect of "Waffles", an open source toolkit of machine learning algorithms, as well as other open source projects. He taught himself to program when he was young by trying to build the video games that his parents did not give to him. He now hopes to inspire students to build technology that science has not yet given to us.

  • Deep neural network training, regularization methods, and novel architectures

  • Nonlinear dimensionality reduction

  • Unsupervised learning with big data

  • Collaborative filtering/missing value imputation/recommender systems

  • Inference with deep neural networks

  • Multivariate time-series prediction

  • Recurrent neural networks

  • Adaptive dynamical systems control

  • Ensemble methods

  • Cognitive architectures

  • EEG signal interpretation

  • Machine Learning
  • Artificial Neural Networks
  • Artificial Intelligence
  • Data Mining
  • Programming Paradigms
  • B.S., Computer Science, 2001, Brigham Young University

  • M.S., Computer Science, 2007, Brigham Young University

  • Ph.D., Computer Science, 2012, Brigham Young University