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Abhilasha Dave received the master’s degree in computer engineering from California State University at Fresno, Fresno, CA, USA, with a thesis focused on the application of machine learning in digital circuit verification and testing. She is currently pursuing the Ph.D. degree with the Chair of Semiconductor Test and Reliability (STAR), University of Stuttgart, Germany, under the supervision of Prof. Hussam Amrouch. After her master’s degree, for almost two years, she worked as a Research and Development FPGA Engineer at Silicon Valley. Her Ph.D. research focuses on approximate computing for deep neural network acceleration. During her master’s degree, she was nominated for the Dean’s Medalist Award at the Electrical and Computer Engineering Department.
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IEEE J. Emerg. Sel. Topics Circuits Syst.no. 1 (2023): 33-47
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