Flynn research Group
Welcome to the Flynn Research Group Website. The Flynn Research Group is a part of the Electrical Engineering and Computer Science Department at the University of Michigan.
RESEARCH
Our main interest is in analog and mixed-signal circuits, analog-to-digital conversion, and other interface circuits. These include high-speed serial transceivers, RF transceivers and sensors. Our main focus is on circuits that transfer information between the analog and digital domains.
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Publications
See more about our journal and conference papers.
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People
The Flynn Group is made up of both graduate and undergraduate students with a range of interests within circuit design.
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Recent News
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Boyi, Taewook, Justin, and Rundao receive their doctoral degrees at the Spring 2022 commencement!
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Evelyn Ware recognized by 2022 NSF Graduate Research Fellowship program
Evelyn Ware’s research explores how we can use machine learning algorithms to calibrate analog-to-digital converters. ADCs make it possible to take in analog information and then process it digitally, which is required in such disparate applications as medical imaging, 5G networks, GPS, radar and communication systems, and sensor interfaces. Calibration is often necessary to improve performance. “Artificial intelligence and deep neural networks provide the next frontier for ADC architecture and calibration,” said Ware. “Using DNNs for calibration of ADCs has been explored in simulation but there is a striking lack of prior literature surrounding practical implementations of DNN-ADC calibration schemes on chip, which is essential for their use in real-world systems.” Ware presented her work at the SRC TECHCON conference in 2021. read more... |