Audrey (Ellerbee) Bowden
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/audreyEllerbee.jpg)
Research interests: microscopy, optical coherence tomography, optofluidics, low-cost diagnostics
Mark Brongersma
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/Brongersma.png)
Nanoscale electronic and photonic materials and devices.
Guiding and manipulation of light in metal-optic structures. - Optical properties of semiconductor nanocrystals. - Optical sensors for bio-applications.
Emmanuel Candes
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/candes.jpeg)
Compressive sensing, mathematical signal processing, computational harmonic analysis, statistics, scientific computing
E.J. Chichilnisky
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/ej-chichilnisky.png)
Functional circuitry of the primate retina and design of retinal prosthesis
David Donoho
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/donoho.jpg)
Professor Donoho works on theoretical and computational statistics, signal processing and harmonic analysis. Applications of his work include methods for the construction of low-dimensional representations for high-dimensional data problems (multiscale geometric analysis), developments of wavelets for denoising and compressed sensing.
Abbas El Gamal
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/AbbasElGamal.jpg)
CMOS sensors and programmable digital cameras.
Ron Fedkiw
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/RonFedkiw.jpg)
Computational fluid dynamics and solid mechanics, computer graphics, computer vision and computational biomechanics
Bernd Girod
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/BerndGirod.jpg)
Professor Girod is interested in communication of digital images, including compression and transmission of video over the Internet, digital watermarking to protect intellectual property, 3-D image analysis and synthesis, and architecture of multimedia systems.
Joe Goodman
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/joe_goodman.jpg)
Joe Goodman is well-known for his contributions to Fourier Optics, Statistical Optics and the study of speckle. He initiated the Image Systems Engineering Program at Stanford in 1996. He recently retired but he is still an active and important faculty member of the Stanford Center for Image Systems Engineering. He serves on technical advisory boards for eight startup companies and as a consultant for several venture capital firms investing in photonics.
Leo Guibas
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/LeoGuibas.jpg)
Professor Guibas' interests span computational geometry, geometric modeling, computer graphics, computer vision, robotics, ad hoc communication and sensor networks, biocomputation, and discrete algorithms.
Pat Hanrahan
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/PatHanrahan.jpg)
Professor Hanrahan's current research involves rendering algorithms, high performance graphics architectures, and systems support for graphical interaction. He also has worked on raster graphics systems, computer animation and modeling and scientific visualization, in particular, volume rendering.
Mark Horowitz
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/MarkHorowitz.jpg)
Professor Horowitz is involved in research which includes multiprocessor design, graphics IO, and high-speed electrical and photonic links, and circuit issues in scaled technology. He is also starting up a research effort at applying EE analysis methods to biological systems.
Doug James
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/djames.png)
Research Interests: Computer graphics, computer sound, physically based modeling and animation, and reduced-order physics models
Marc Levoy
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/MarcLevoy.jpg)
Professor Levoy's current interests include light field sensing and display, computational imaging, digital photography, and applications of computer graphics in microscopy and biology.
Fei-Fei Li
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/feifei2.jpeg)
Professor Li's research interest include computer vision and human vision, with emphasis on object recognition, scene categorization and understanding, human motion recognition, material recognition, etc.
Andrew Ng
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/andrewNg.png)
Artificial Intelligence, Machine learning, Unsupervised feature learning and Deep learning, Neuroscience-informed AI
Dwight Nishimura
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/DwightNishimura.jpg)
Professor Nishimura develops new acquisition and processing techniques for improved medical imaging.
Anthony Norcia
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/AnthonyNorcia.jpg)
Tony Norcia studies the interaction between visual experience and the structure and function of the brain using a combination of direct, but non-invasive measures of the brain's electrical activity along with psychophysics to study how the brain processes visual images.These methods are also used to develop improved measures of display quality for image systems engineering.
Richard Olshen
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/olshen.jpg)
Professor Olshen's research interests are in statistics and mathematics and their applications to medicine and biology.
Brad Osgood
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/osgood21.jpg)
Efficient sampling and reconstruction techniques for discrete signals
Geometry and combinatorics for families of higher dimensional Bezier curves
Analysis and geometry of two-dimensional harmonic maps and their lifts to minimal surfaces
Daniel Palanker
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/palanker.jpg)
Interaction of electric field and light with biological cells and tissues, and their applications to medicine and biology
John Pauly
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/Pauly.jpg)
John Pauly conducts research on medical imaging, and magnetic resonance imaging (MRI) in particular, Image reconstruction algorithms, Cardiac imaging, Image guided minimally invasive therapies.
Brian Wandell
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/Brian_Wandell.jpg)
Brian Wandell's research includes image system engineering and visual neuroscience.
Tsachy Weissman
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/TsachyWeissman.jpg)
Tsachy's research interests span information theory and its applications to data compression and communications, and statistical signal processing.
Gordon Wetzstein
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/gordon_wetzstein_small2.jpg)
Computational imaging and display systems, as well as computational light transport
Howard Zebker
![](https://swap.stanford.edu/was/20160311035101im_/https://scien.stanford.edu/wp-content/uploads/HowardZebker.jpg)
Howard Zebker's research program consists of developing spaceborne radar systems and applying remote sensing data to problems in geophysics. His current emphasis is on interferometric radar for topographic and surface deformation studies of earthquakes, volcanoes, and global environmental problems.