Yuankai Huo, assistant professor of computer science, and Jason Valentine, professor of mechanical engineering, along with their team, are recipients of the distinguished Charles E. Ives Award for collaborative imaging research.
The award is given in recognition of an outstanding contribution in the area of basic or applied science or engineering published in a Society for Imaging Science and Technology (IS&T) journal during the previous year. Each year, only one paper is selected across all IS&T journals.
The paper, “Digital Modeling on Large Kernel Metamaterial Neural Network,” appeared in the Journal of Imaging Science and Technology. The first author, Quan Liu, is a recently graduated computer science Ph.D. student who is now an advanced AI/ML scientist at consulting giant Accenture.
“Our research highlights the effectiveness of optimized AI and optics co-design as a strategic approach to overcoming computational bottlenecks in optic-digital hybrid systems, with the ultimate goal of achieving energy-free, light-speed AI,” said Huo, who holds additional appointments in electrical and computer engineering, and is a steering committee member of the Vanderbilt Lab for Immersive AI Translation (VALIANT).
Added Valentine, “this work demonstrates a novel route towards realizing efficient and high-speed sensors for next generation Internet of Things (IoT) systems.”