Signals & Imaging

Faculty

Martin Arthur

Emeritus Professor
Collaborates with cardiologists at the School of Medicine to identify repeat heart attack risk

Ulugbek Kamilov

Assistant Professor
Combines computational imaging, optimization, and machine learning to enable new intelligent imaging technology

Arye Nehorai

Professor
Develops models, statistical signal processing and machine learning for data analysis

Joseph O'Sullivan

Professor
Discovers ways to improve CT imaging & optical imaging

Neal Patwari

Professor
Investigates estimation, detection, and classification algorithms on signals from networks

Bruno Sinopoli

Chair and Professor
Designs safe and secure networked embedded control systems

Current research in this area emphasizes both theory and application. Topics include:

• model based digital and analog signal and image processing
• stochastic process theory, modeling, and applications
• shape theory, modeling, and applications; communication and information theory
• coding theory
• bandwidth and energy efficient modulation schemes
• multiaccess communications
• estimation and decision theory
• radar and infrared systems and their use in imaging and automatic target recognition
• low light level optical imaging
• restoration of optical images degraded by aberrations and atmospheric turbulence
• tomographic imaging; ultrasonic imaging and tissue characterization
• anatomical mapping; statistical signal processing for sensor arrays
• computational linguistics
• Radio frequency sensing
• Wireless networking
• Radio localization and time synchronization