Research Projects

  • Cost-aware adversarial machine learning (Department of Defense)

  • Robust signal processing and machine learning for unmanned aircraft systems (FAA)

  • Distributed in-situ sensor data sanitization for privacy-preserving IoT (HP)

  • Robust machine learning, model identification, and state estimation for power system (partially funded by Department of Energy)

  • Sparse error correction to mitigate GPS spoofing attacks on phasor measurement units (Department of Energy and Department of Homeland Security)

  • Hyperspectral image analysis: foreground material signature extraction and classification in an intimate mixing model