Signals & Imaging

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

Meet the Faculty

Hong Hu

Assistant Professor
Developing theoretical foundations for high-dimensional information processingy

Ulugbek Kamilov

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

Joseph O'Sullivan

Professor
Discovers ways to improve CT imaging & optical imaging

Bruno Sinopoli

Chair and Professor
Designs safe and secure networked embedded control systems

Senior & Emeritus Professors

Martin Arthur

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

Arye Nehorai

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

Affiliate Faculty

Hongyu An

Novel pathophysiology imaging methods to improve clinical diagnosis and patient management

Joseph Culver

Functional- and molecular- biological imaging for non-invasive optical measurements

Yao Chen

Understanding how the dynamics of neuromodulators and intracellular signals contribute to the function of neuromodulators

Adam Eggebrecht

Novel brain function hardware, analysis pipelines and algorithms

Tom Franken

Studing how brain circuits organize incoming sensory information into meaningful collections of objects and background

Song Hu

Advances theranostics through the development of novel optical and photoacoustic technologies

Nathan Jacobs

Develops learning-based computer vision algorithms, with a focus on geospatial and medical applications

Abhinav Jha

Develops computational-imaging methods for diagnosing and treating diseases

Shinjini Kundu

Artificial intelligence, machine learning, bioinformatics, computer vision, image processing, neuroscience

Ilya Monosov

Interested in the neuronal basis of voluntary behavior

Barani Raman

His lab's electronic nose technology has applications for homeland security

Netanel Raviv

Develops mathematical tools for computation, privacy and machine learning

Aris Sotiras

Medical image analysis, machine learning, computational neuroscience

Yuan-Chuan Tai

Researches novel molecular imaging systems, compact PET/ultrasound imaging and more

Gaia Tavoni

Develops theories and models to understand how information is represented and processed in neuronal networks

Yong Wang

Developing the novel hybrid imaging system to study preterm and normal term labor

Chao Zhou

Develops novel optical imaging technologies for biomedical applications

Quing Zhu

Advances cancer detection, diagnosis and treatment prediction and monitoring