Signal and Information Processing Faculty
Michael J. Fitzpatrick Professor
DISP uses joint design of physical sampling and digital processing strategies to develop high performance sensor systems. DISP builds instruments for visible, infrared, ultraviolet, x-ray, millimeter wave, terahertz, acoustic and ion imaging and spectroscopy. DISP has made particular contributions...
Dean of Natural Sciences and Professor of Electrical & Computer Engineering
Professor
This laboratory’s research is in the area of physics-based statistical signal processing algorithms, and we are actively engaged in two general application areas: (1) Investigating human auditory perception and developing remediation strategies for the hearing impaired; (2) developing sensor-based...
Associate Chair, Associate Professor of the Practice and Director of Undergraduate Studies
Repass-Rodgers University Associate Professor of Conservation Technology, and Associate Professor of Electrical & Computer Engineering
Sound propagates very efficiently through sea water, and marine mammals take advantage of this medium to communicate and explore their environment. My research is focused on the link between acoustic and motor behavior in marine mammals, primarily cetaceans and manatees, specifically, how they use...
Edmund T. Pratt, Jr. Professor
Image and video processing, computer vision, computer graphics,
computational vision, biomedical imaging, brain imaging,
cryo-tomography of viruses, computational tools in cryo-tomography,
computational tools in early diagnosis of psychiatric disorders,
differential geometry and differential...
Associate Professor
My research interests include network and imaging science with
applications in medical imaging, wireless sensor networks, astronomy,
and social networks. One central theme of my research is data-starved
inference for point processes -- the development of statistically
robust methods for analyzing...
Secondary Signal and Information Processing Faculty
Professor (primary appt: Statistical Science)
Development of Bayesian methods motivated by applications with complex and high-dimensional data.
A particular focus is on nonparametric Bayes approaches for conditional distributions and for flexible borrowing of information. I am also interested in methods for accommodating model uncertainty in...
Paul Ruffin Scarborough Associate Professor of Mechanical Engineering and Materials Science and Associate Professor of Electrical & Computer Engineering
Design and analysis of methods and algorithms for learning and computational intelligence. Theory and approximation properties of network models, such as neural and probabilistic networks, for the purpose of enhancing their learning abilities and improving reliability. Approximate dynamic...
Addy Family Professor of Biomedical Engineering and Professor of Electrical & Computer Engineering
Dr. Grill’s research interests and in neural engineering and neural prostheses and include design and testing of electrodes and stimulation techniques, the electrical properties of tissues and cells, and computational neuroscience with applications in restoration of bladder function, treatment of...
Professor (primary appt: Mathematics)
Professor Harer's primary research is in the use of geometric, combinatorial and computational techniques to study a variety of problems in data analysis, shape recognition, image segmentation, plant root architecture, biological networks and gene expression.
Professor (primary appt: Mathematics)
I am interested in novel constructions inspired by classical harmonic analysis that allow to analyse the geometry of manifolds and graphs and functions on such structures. These constructions are motivated by several important applications across many fields. In many situations we are confronted...
Assistant Professor (primary appt: Mechanical Engineering and Materials Science)
A range of topics in the emerging discipline of networked dynamical systems, which studies systems of physical agents interacting via a communication medium in search of joint control principles that determine network behavior. Focus on robotic and sensor networks, with applications in formation...
Research Signal and Information Processing Faculty
Assistant Research Professor
My research concerns the development and application of Bayesian statistical models to signal processing and machine learning problems in a variety of real-time and real-world application areas. I am actively working on problems concerning acoustic signal classification, the detection of buried...
Assistant Research Professor
Statistical signal processing, machine learning, pattern recognition with a focus on remote sensing, and buried threat detection
