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Data Science & Machine Learning


  • Time-Based CAN Intrusion Detection Benchmark
    Publication
  • Time-Based CAN Intrusion Detection Benchmark
    Highlight
  • Computational Mechanics at Oak Ridge National Laboratory
    Project
  • A stochastic approximate gradient ascent method for Bayesian experimental design with implicit models
    Highlight
  • A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics
    Highlight
  • A stochastic optimal control framework for quantifying and reducing uncertainties in deep learning
    Project
  • Katie Schuman wins IEEE-CS Early Career Researcher Awards in HPC
    Recognition
  • An Integrated Two-Factor Authentication Solution Using Pulse Connect Secure and Apache HTTP Server
    Publication
  • Black-box training for scientific machine learning models
    Project
  • Katie Schuman Interview
    News

Researchers

Pravallika Devineni
Prasanna Date
John Mitchell
Mark Coletti
Frank Liu
Addi Thakur Malviya
Jose Borreguero
Pete Peterson
Minsu Kim
Jean Bilheux
Jiaxin Zhang
Pablo Moriano
Konstantin Pieper
Olivera Kotevska
Viktor Reshniak
Guannan Zhang
Ramakrishnan (Ramki) Kannan
Seung-Hwan Lim
Laura Pullum
Travis Johnston
Nicholas Haas
Christopher Stahl
Catherine Schuman
Drahomira Herrmannova
Steven Young
Chelsey Dunivan Stahl
Matt (Sangkeun) Lee
Junghoon Chae
Hoang Tran
James Kress
Jong Youl Choi
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