Computational Optical Sensing and Imaging (COSI)

Computational Optical Sensing and Imaging (COSI)

Theoretical to experimental demonstration and applications of the latest advances in computational imaging research.

Computational sensing and imaging applications span from fundamental science to medical, security, and defense industry applications. COSI encompasses the latest advances in computational imaging research, emphasizing integration of opto-electric measurement and computational processing.   Representative topics include compressive sensing, tomographic imaging, light-field sensing, digital holography, SAR, phase retrieval, computational spectroscopy, blind deconvolution and phase diversity, point spread function engineering, and digital/optical super resolution.

  • Compressive sensing
  • Tomographic imaging
  • Light-field sensing
  • Phase retrieval
  • Digital/optical super resolution
  • Unconventional sensing
  • High-Dimensional Inverse Problems in Optical Science Symposium
Ravindra Athale, Office of Naval Research, United States, Implications of Computational and Compressive Imaging for Navy Problems, Invited

Kathrin Berkner, Ricoh Innovations, Inc., United States, Light Field Imagers, Invited

Oliver Cossairt, Northwestern University, United States, Motion Contrast 3D Scanning, Invited

Michael Gehm, Duke University, United States, Adaptive Spectral Imaging Classification, Invited

Vivek Goyal, Boston University, United States, First-Photon Imaging and Few-Photon Imaging, Invited

Horst Haussecker, Intel Labs, United States, Title to be Announced, Invited

Wolfgang Heidrich, King Abdullah Univ of Sci & Technology, Saudi Arabia, Computational Imaging of Light-in-Flight and Related Phenomena, Invited

Ryoichi Horisaki, Osaka University, Japan, A Single-shot Phase Imager Based on Coded Aperture Support, Invited

Amy Oldenburg, Univ of North Carolina at Chapel Hill, United States, Revealing Diffusive and Directed Motions of Nanoparticles and Cells in Optical Coherence Tomography of Tissue, Invited

Rafael Piestun, University of Colorado at Boulder, United States, 3D PSF Engineering and Computational Reconstruction in Scanning Optical Microscopy, Invited

Jeffrey Shapiro, Massachusetts Institute of Technology, United States, Ghost Imaging: A Theme with Variations, Invited

Allen Taflove, Northwestern University, United States, Advances in Computational Microscopy are Facilitating Accurate Screening Techniques for Multiple Early-Stage Human Cancers, Invited

Ashok Veeraraghavan, Rice University, United States, The Power of Many: Enhancing Photographs with Multiple Images, Invited

Laura Waller, University of California Berkeley, United States, 3D phase retrieval with computational illumination, Invited


Eddie JacobsUniversity of Memphis, United States
Kenneth KubalaFiveFocal, LLC, United States
Sapna ShroffLight, United States

Program Chair

Christy Fernandez-CullMassachusetts Inst of Tech Lincoln Lab, United States
Chrysanthe PrezaUniversity of Memphis, United States
Laura WallerUniversity of California Berkeley, United States


Amit AshokUniversity of Arizona, United States
Gisele BennettGeorgia Tech Research Institute, United States
Marc ChristensenSouthern Methodist University, United States
Michael FiddyUniv of North Carolina at Charlotte, United States
Joseph FordUniversity of California, San Diego, United States
Michael GehmDuke University, United States
David GerweBoeing - Phantomworks, United States
Andrew HarveyUniversity of Glasgow, United Kingdom
Kedar KhareIndian Institute of Technology, Delhi, India
Edmund LamUniversity of Hong Kong, Hong Kong
Joseph MaitUS Army Research Laboratory, United States
Predrag MilojkovicDARPA, United States
Ram NarayanswamyIntel Corp., United States
Joseph O'SullivanWashington University in St Louis, United States
Rafael PiestunUniversity of Colorado at Boulder, United States
Gordon WetzsteinStanford University, United States
Zeev ZalevskyBar-Ilan University, Israel

Conference Plenary Sessions

Tuesday, 9 June, 08:00 - 09:30
John Mather,  NASA Goddard Space Flight Center, USA
Shree Nayar, Columbia University, USA

Wednesday, 10 June, 09:00 – 10:00
W.E. Moerner, Stanford University, USA

Conference Reception

Monday, 8 June, 19:00 – 20:30
Join your fellow attendees for the Congress Reception. Enjoy delectable fare while networking. The reception is open to committee/presenting author/student and full conference attendees. Conference attendees may purchase extra tickets for their guest.

Joint Poster Session

Tuesday, 9 June, 19:00 – 20:30
Posters are an integral part of the technical program and offer a unique networking opportunity, where presenters can discuss their results one-to-one with interested parties. Each author is provided with a board on which to display the summary and results of his or her paper.

International Year of Light Panel on Freeform Optics
Wednesday, 10 June, 19:30 – 21:30, Salon 4
Jannick Rolland, University of Rochester, USA
Julius Muschaweck, ARRI, Germany
Angela Davies, UNC at Charlotte, USA
Thomas Dresel, Ametek Zygo, USA
Christoph Menke, Carl Zeiss, Germany
Joseph Owen, UNC at Charlotte, USA
Kevin Thompson, Synopsys, USA

John Mather

NASA’s Goddard Space Flight Center, USA
Nobel Prize in Physics 2006
The James Webb Space Telescope 

NASA’s James Webb Space Telescope (JWST), planned for launch in October 2018, utilizes high performance imaging optics to see beyond what the great Hubble Space Telescope can see, farther away and farther back in time.   It will be the workhorse telescope for a generation of space astronomers, opening the infrared (0.6-28 µm) window with a 6.6 m aperture cold telescope. To test it end-to-end, we have developed remarkable laser interferometer technologies, with computer-generated holograms to test the primary mirror, and it must all be done cold and in a vacuum tank.  I will outline the mission design, the scientific objectives, and the current status.

John Mather is a Senior Astrophysicist and is the Senior Project Scientist for the James Webb Space Telescope at NASA’s Goddard Space Flight Center (GSFC) where his research centers on infrared astronomy and cosmology.  He led proposal efforts for the Cosmic Background Explorer (COBE), which ultimately enabled the COBE team to show that the cosmic microwave background radiation has a blackbody spectrum within 50 parts per million, confirming the expanding universe model (the Big Bang Theory) and initiating the study of cosmology as a precision science. The COBE team also first mapped the hot and cold spots in the background radiation (anisotropy), now attributed to quantum fluctuations in an inflationary period in the first 10-36 sec of the universe; Stephen Hawking called their discovery “the most important scientific discovery of the century, if not of all time.”

W.E. Moerner

Stanford University, USA
Nobel Prize Winner in Chemistry 2014

W. E. Moerner, the Harry S. Mosher Professor of Chemistry and Professor, by courtesy, of Applied Physics at Stanford University, conducts research in physical chemistry and chemical physics of single molecules, single-molecule biophysics, super-resolution imaging and tracking in cells, and trapping of single molecules in solution. His interests span methods of precise quantitation of single-molecule properties, to strategies for three-dimensional imaging and tracking of single molecules, to applications of single-molecule measurements to understand biological processes in cells, to observations of the photodynamics of single photosynthetic proteins and enzymes. He has been elected Fellow/Member of the NAS, American Academy of Arts and Sciences, AAAS, ACS, APS, and The Optical Society. Major awards include the Earle K. Plyler Prize for Molecular Spectroscopy, the Irving Langmuir Prize in Chemical Physics, the Pittsburgh Spectroscopy Award, the Peter Debye Award in Physical Chemistry, the Wolf Prize in Chemistry, and the 2014 Nobel Prize in Chemistry.

Shree Nayar

Columbia University, USA

Advances in Computational Imaging
Computational imaging uses new optics to capture a coded image, and an appropriate algorithm to decode the captured image. This approach of manipulating images before there are recorded and processing recorded images before they are presented has three key benefits. First, it enables us to implement imaging functionalities that would be difficult, if not impossible, to achieve using traditional imaging. Second, it can be used to significantly reduce the hardware complexity of an imaging system. Lastly, under appropriate imaging conditions, it allows us to break the limits of traditional imaging. In this talk, I'll show recent examples of cameras that demonstrate these benefits.

Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University. He heads the Columbia Vision Laboratory (CAVE), which develops advanced computer vision systems. His research is focused on three areas - the creation of novel cameras that provide new forms of visual information, the design of physics based models for vision and graphics, and the development of algorithms for understanding scenes from images. His work is motivated by applications in the fields of digital imaging, computer graphics, robotics and human-computer interfaces.

Nayar received his PhD degree in Electrical and Computer Engineering from the Robotics Institute at Carnegie Mellon University. For his research and teaching he has received several honors including the David Marr Prize (1990 and 1995), the David and Lucile Packard Fellowship (1992), the National Young Investigator Award (1993), the NTT Distinguished Scientific Achievement Award (1994), the Keck Foundation Award for Excellence in Teaching (1995), the Columbia Great Teacher Award (2006), and the Carnegie Mellon Alumni Achievement Award (2009). For his contributions to computer vision and computational imaging, he was elected to the National Academy of Engineering in 2008, the American Academy of Arts and Sciences in 2011, and the National Academy of Inventors in 2014.
The High-Dimensional Inverse Problems in Optical Science Symposium (HIPOS) is aiming to revitalize and direct research in high-dimensional optical inverse problems by cross-pollinating the fields of sensor design for signal encoding and image synthesis, big data statistical analysis and optimization for data exploitation and recovery in computer vision, and novel digital focal plane arrays with on-chip processing for efficient and joint measurement and recovery design.

HIPOS will be a feature aspect of the Computational Optical Sensing and Imaging (COSI) meeting.


Christy Cull
MIT Lincoln Labs, USA

David R. Gerwe
Boeing - Phantomworks, USA

Jonathan Nichols
US Naval Research Laboratory, USA