Perception, cognition and signal processing are increasingly at the core of complex engineering challenges. At CoE, our faculty, curricula and research embrace a holistic approach to improve the success of human-machine interfaces.

Here are examples of CoE research in this field:

  • Machine learning, listening and adaptation
  • Neuro-engineering and control systems
  • Underwater movement and robotics
  • Animal swimming and flight
  • Audio source separation and data compression
  • Orthopedic biomechanics
  • Dynamics and control of human motion
Students and faculty doing research