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Sengupta-led wireless chip study bags IEEE Award
Kaushik Sengupta, Zheng Liu and Emir Ali Karahan received the best paper of 2023 award at IEEE International Solid-State Circuits Conference in San Francisco. Photo courtesy of researchers
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Kaushik Sengupta, Zheng Liu and Emir Ali Karahan received the best paper of 2023 award at IEEE International Solid-State Circuits Conference in San Francisco. / Image - Princeton electrical and computer engineering
A groundbreaking study led by Princeton professor Kaushik Sengupta was awarded the 2023 Best Paper Award from the IEEE Journal of Solid-State Circuits for its pioneering use of artificial intelligence in wireless chip design.
The research introduces an AI-driven system that reverses traditional design processes, starting with desired performance outcomes and working backward to generate optimized circuit architectures.
Also read: Indian-origin engineer designs AI chips inspired by human nervous system
This innovation drastically cuts chip design time from weeks to hours, enhancing efficiency and expanding frequency capabilities across all millimeter-wave bands from 30 to 94 GHz.
Co-authors Emir Ali Karahan, a Princeton graduate student, and Zheng Liu, a former Princeton researcher now at Texas Instruments’ Kilby Labs, contributed to the study.
Professor of electrical and computer engineering at Princeton, Sengupta, a fellow of the IEEE, co-founded the university’s Next-G Initiative, an advanced communications research program launched in 2023. His accolades include the DARPA Young Faculty Award, Office of Naval Research Young Investigator Award, and Bell Labs Prize.
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