EDUCATION
May, 2012 Indiana University Ph.D. Cognitive Science, Area -Neural models & motor control, Minor -Linguistics;
May, 2002 Indiana University B.A. Individualized Major, Area-Music cognition.

RESEARCH INTERESTS
I have a long time interest in machine learning for temporal patterns. My particular
focus has been on the development of artificial neural networks for speech motor learning
and control with perceptual feedback. I have a strong background in speech and audio
digital signal processing, Bayesian networks and Markov models, synchronizing
resonator models, control theory, connectionist and dynamical systems, and experiment
design and statistical analyses. I am interested in applying these skills to interesting
projects while working with a diverse set of exceptional team members.

PUBLICATIONS

• Brady, M.C. (2016) A low-cost desktop robot and telepresence device for interactive
  speech research. Proceedings of Interspeech 2016, San Francisco
• Valenti, A. Brady, M.C., Scheutz, M. Holcomb, P. & Pu, H. (2016) A neural field model
  of word repetition effects for early time-course ERPs in spoken word perception.
  Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Philadelphia
• Blanchard, N., Brady, M.C., Olney, A., Glaus M., Sun, X., Nystrand, M., Samei, B.,
  Kelly, S. & D’Mello, S. K. (2015). A study of automatic speech recognition in noisy
  classroom environments for automated dialog analysis. Proceedings of the 17th
  International Conference on Artificial Intelligence in Education (AIED 2015).
• Brady, M.C. (2014). A bi-directional graphical model for babble-feedback learning in
  speech. Procedia Computer Science, Elsevier. 41, 220–225.
• Brady, M.C. (2012) Ph.D Dissertation: A Field-Based Artificial Neural Network with
  Cerebellar Model for Complex Motor Sequence Learning. Indiana University
• Brady, M.C. (2010) SCA-Net: a sensation-cognition-action network for speech
  processing. Proceedings of the 1st Annual Meeting of the BICA (Biology Inspired
  Cognitive Architectures) Society.
• Brady, M.C. (2010) Prosodic timing analysis for articulatory re-synthesis using a bank of
  resonators with an adaptive oscillator. Proceedings of Interspeech 2010, Tokyo.
• Brady, M.C. (2009) Speech as a problem of motor control in robotics. Proceedings of the
  31st Annual Meeting of the Cognitive Science Society, Amsterdam
• Brady, M.C. (2008) A spectral timing model pour L'ART. Proceedings of the
  International Conference on Music Perception and Cognition, Sapporo, Japan.
• Brady, M.C. & Port, R.F. (2007) Quantifying vowel onset periodicity in Japanese.
  Proceedings of the International Conference on Phonetic Science, Saarbrucken.
• Brady, M.C. (2007) ART for implementing a motor theory of speech perception.
  Proceedings of the International Conference on Cognitive and Neural Systems, Boston.
• Brady, M.C. (2006) Adaptive resonance situated for articulatory speech learning and
  synthesis. Proceedings of the International Conference on Development and Learning,
  Bloomington.
• Brady, M.C. (2005) Synthesizing affect with an analog vocal tract: glottal source. Special
  Workshop on Android Science at the 27th Annual Meeting of the Cognitive Science
  Society, Stressa, Italy.

TEACHING INTERESTS
• Machine learning for temporal patterns
• Digital signal processing
• Robotics as applied embodied cognition
• Dynamical systems modeling and analysis
• Speech cognition
• Music cognition
• Programming GPUs with CUDA

COURSES TAUGHT:

• Applied autonomous robotics
• Neural Networks and Deep Learning
• Parallel and Distributed Programming (eng)
• Machine Learning
• Structural Programming
• Computer Speech and Language Processing
• Computer Vision (eng)
• Safety Management and Economics
• Computer Architecture & Organization (eng)
• Embedded systems
• System programming