Texas:

Indian origin trailblazing pc engineer and professor Ashok Veeraraghavan has been awarded the Edith and Peter O’Donnell Award in engineering, one of many highest tutorial honours in Texas.

The Texas Academy of Drugs, Engineering, Science and Know-how (TAMEST), which presents this award to rising researchers within the state, mentioned Veeraraghavan, professor {of electrical} and pc engineering at George R. Brown Faculty of Engineering at Rice College, was chosen for his revolutionary imaging know-how that seeks to make the invisible seen.

The award is given yearly to star researchers within the state engaged in pathbreaking work in drugs, engineering, organic sciences, bodily sciences and know-how innovation.

This 12 months’s engineering award went to Veeraraghavan, recognising his group’s “revolutionary imaging know-how that seeks to make the invisible seen,” in line with a press release from TAMEST.

Initially from Chennai, the place he spent most of his pre-adult life, Veeraraghavan advised PTI, “I’m delighted to obtain this award. It’s the recognition of the fantastic and modern analysis that many college students, postdocs and analysis scientists, within the computational imaging lab at Rice College have accomplished during the last decade” Veeraraghavan’s computational imaging lab conducts analysis on imaging processes holistically, from optics and sensor design to machine studying processing algorithms, to sort out imaging challenges which can be in any other case past the attain of present applied sciences.

“Most imaging methods in the present day are designed in a manner that doesn’t take all these three issues into consideration collectively; they’re designed individually,” Veeraraghavan mentioned.

“Co-design opens up new levels of freedom and permits us to attain some imaging functionalities or efficiency capabilities which can be in any other case not attainable,” he added.

Veeraraghavan’s analysis seeks to offer options for imaging situations the place the visualisation goal is inaccessible to present imaging applied sciences as a result of scattering of sunshine in collaborating media.

“There are a lot of examples of this,” he mentioned.

“One acquainted instance is once you’re driving a automotive and it is foggy, so you possibly can’t see too far out. On this case, fog acts because the scattering medium. In case you’re doing satellite tv for pc imaging, clouds can act because the scattering medium. And if you happen to’re doing organic imaging, it is pores and skin that acts because the obscurant so you possibly can’t see blood cells or the construction of the vascular system, for instance,” he defined.

“In all of those contexts, the principle problem is that gentle interacts with the collaborating media and scatters, which suggests you lose details about the picture you are attempting to seize. I believe imaging via scattering media is among the most difficult issues that is left in imaging. So that’s what the core focus of my lab is, and we have made important advances towards fixing that drawback.” Luay Nakhleh, the William and Stephanie Sick Dean of Engineering and professor of pc science and biosciences at Rice, congratulated Veeraraghavan for his achievement saying he “richly deserves this particular recognition”.

“In truth, that is additional particular for our faculty since it’s the second 12 months in a row that certainly one of our school receives the O’Donnell Award, with Jamie Padgett being final 12 months’s recipient.” Ramamoorthy Ramesh, Rice’s government vp for analysis and a professor of supplies science and nanoengineering, physics and astronomy, praised Veeraraghavan and underscored the impression of his analysis.

“I am so happy to see Ashok recognised with the Edith and Peter O’Donnell Award, becoming a member of an achieved group of prior Rice College recipients of the honour,” Ramesh mentioned.

“Ashok has used math and know-how to unravel a number of the most tough issues in imaging. His work has broad purposes for the development of human well being, microscopy, nationwide safety, autonomous automobiles, pictures and a lot extra.” 

(Apart from the headline, this story has not been edited by NDTV workers and is printed from a syndicated feed.)