Students


Students

Bredesen Center PhD Students

  • Emily Herron
    • Topic: Ensembles of NAS Dervived Neural Networks

PhD Summer Students

  • Fan Chen - Summer 2018 - PhD Student - Duke University
    • Topic: Efficient Computation for Generative Adeversarial Models (Co-mentored w/ Catherine Schuman)
    • Current: PhD Student at Duke University
  • Linghao Song - Summer 2018 - PhD Student - Duke University
    • Topic: Improved Deep Learning Architectures for Neutrino Vertex Reconstruction (Co-mentored w/ Catherine Schuman)
    • Current: PhD Student at Duke University
  • Jeremy Liu - Summer 2017 - PhD Student - University of Southern California
    • Topic: Boltzmann Machines on D-Wave (Co-mentored w/ Thomas Potok)
    • Current: PhD Student at USC
  • David Isele - Summer 2016 - PhD Student - University of Pennsylvania
    • Topic: Deep learning on Titan (Co-mentored w/ Robert Patton)
    • Current: Research Scientist at Honda Research Institute USA, Inc.

Undergraduate Summer Students

  • Emily Herron - Summer 2018 - Post-Bachelors Student - Mercer University
    • Topic: Machine Learning for Information Extraction from Scholarly Publicaitons
    • Current: PhD Student in University of Tennessee Bredesen Center Data Science and Engineering Program
  • Aiden Rutter - Summer 2018 - Bachelors Student - University of Tennessee
    • Topic: Recurrent Deep Learning Models for Digital Communication
  • Albert Xue - Summer 2017 - Bachelors Student - Duke University
    • Topic: Generative Adversarial Networks
    • Current: BS Student at Duke
  • Jeremy Poff - Summer 2017 - Bachelors Student - University of Tennessee
    • Topic: Recurrent Neural Networks for Text Extraction
    • Current: Software Engineer
  • Parker Mitchell - Summer 2017 - Bachelors Student - University of Tennessee
    • Topic: Deep learning on FPGAs (Co-mentored w/ Catherine Schuman)
    • Current: Neuromorphic Researcher at ORNL
  • Adam Terwilliger - Summer 2016 - Bachelors Student - Grand Valley State University
    • Topic: Deep Learning Applied to Neutrino Detector Data
    • Current: PhD Student - Michigan State University
  • Allison Cabo - Summer 2015 - Bachelors Student - Allegheny College
    • Topic: Time Similarity Metric for Cyber Data (Co-mentored with Justin Beaver)
    • Current: Data scientist for U.S. Government

High School Students

  • Katie Nuchols - Summer 2018 - Clinton High School (Anderson County, TN)
    • Topic: Machine Learning Analysis of Summit Supercomputing Benchmark Data (Co-mentored with Catherine Schuman)
    • Current: BS Student at University of Tennessee