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Intelligent Systems, Robotics, and Control

This highly interdisciplinary field focuses on the application of advanced mathematical, statistical, and information-theoretic computer science and algorithmic methods to the problem of analysis and modeling of complex non-deterministic and uncertain human-interactive systems and environments. Opportunities exist for cross-disciplinary interactions with other departments and research units at UC San Diego. Areas of interest include:

  • Learning-based and adaptive control theory
  • Computer vision
  • Speech recognition
  • Statistical learning theory and pattern recognition
  • Robotics
  • Digital, statistical, and multi-resolution signal and image processing systems
  • Image understanding and visual recognition
  • Intelligent transportation systems
  • Dynamic multi-object classification for tracking and threat assessment and detection
  • Nonlinear control of graph-structured articulated robotic systems
  • Bioinformatics and financial risk-assessment using Bayesian learning-based detection and regression

Faculty: Pamela Cosman • Kenneth Kreutz-Delgado • Gert Lanckriet • Truong Nguyen • Bhaskar Rao • David Sworder • Mohan Trivedi • Nuno Vasconcelos • Robert Hecht-Nielsen