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Texas: Indian-origin computer engineer and professor Ashok Veeraraghavan has been awarded the Edith and Peter O’Donnell Award in Engineering, one of the highest academic honors in Texas. Presented by the Texas Academy of Medicine, Engineering, Science, and Technology (TAMEST), this award recognizes Veeraraghavan’s groundbreaking contributions to imaging technology. Their revolutionary imaging technology that strives to make the invisible visible.
The award is given annually to star researchers from the state doing pioneering work in medicine, engineering, biological sciences, physical sciences and technological innovation. The Edith and Peter O’Donnell Award is annually presented to exceptional researchers in Texas who are engaged in pioneering work across various fields, including medicine, engineering, biological sciences, physical sciences, and technology innovation.
According to a statement from TAMEST, This year’s engineering award went to Veeraraghavan, recognizing his group’s “revolutionary imaging technology that strives to make the invisible visible”. Veeraraghavan, who spent most of his pre-adult life, told media that Originally from Chennai, where he “I am delighted to receive this award. It is recognition of the amazing and innovative research that many students, postdocs and research scientists have done in computational biology.”
The Imaging Lab at Rice University has worked over the past decade” Veeraraghavan’s Computational Imaging Lab researches holistic imaging processes, from optics and sensor design to machine learning processing algorithms, to tackle imaging challenges that would otherwise be difficult with current technologies. Veeraraghavan said, “Most imaging systems today are designed in such a way that these three things are not taken into account together, they are designed separately.”
he added,“Co-design opens up new degrees of freedom and allows us to achieve certain imaging functionalities or display capabilities that are not otherwise possible.” his research seeks to provide solutions for imaging scenarios where participating The visualization target is inaccessible to current imaging technologies due to scattering of light in the media containing it.
