Dr. Amit Ashok was elected to The International Society for Optics and Photonics’ (SPIE) Senior Membership! Senior Members receive this honored distinction for their professional experience, active involvement with the optics community and SPIE, and an outstanding professional performance that separates them from their peers. Congratulations on this achievement Dr. Ashok!
Dr. Amit Ashok was awarded The Optical Society’s (OSA) Senior Membership status! This designation requires a minimum of 10 years of cumulative professional experience and recognizes significant professional accomplishments or service within the optics and photonics field. Congratulations Dr. Ashok!
Dr. Amit Ashok, Associate Professor and Director of the Intelligent Imaging and Sensing Lab (I2SL), describes his research and I2SL’s exploration of new imaging techniques that exploit complex reflections of light to essentially look through objects and around corners on Arizona Public Media’s (AZPM) Arizona Science.
Listen to Dr. Ashok’s interview with Dr. Leslie Tolbert, Regents’ Professor in Neuroscience, on AZPM.org Episode 85: Seeing Around Corners.
The Science Café line-up features a series of informative presentations given by University of Arizona researchers on topics that affect you, your family, and our world. Each presentation is followed by the opportunity for those in the audience to ask questions and personally meet our scientists.
On Saturday, March 11, 2017 at 10:30 am, Dr. Amit Ashok, Assistant Professor of Optical Science, in the College of Optical Sciences will present on “Seeing Beyond the Visible: Thermal Imaging”.
In the last half-century, the advance of camera technology has brought an impressive array of improvements to photography, most noticeably the replacement of film with digital pictures. But the way you take a photo has barely changed at all: You zoom, you focus and you push a button, a process that leaves you with a static image.
Compressive light-field imagers employ fewer photon-efficient measurements, enabling higher-resolution reconstruction than is possible using their traditional counterparts.