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个人简介
Michele Caselli (Member, IEEE) received the M.Sc. degree (cum laude) in electronic engineering and the Ph.D. degree in information technologies from the Department of Engineering and Architecture, University of Parma, Italy, in 2015 and 2019, respectively. In 2019, he joined the IMEC Machine Learning Program as a Mixed-Signal Designer, working on machine learning accelerators with emerging memory devices. He is currently a Research Fellow at the Department of Engineering and Architecture, University of Parma. His research interests include design and optimization of RF energy harvesting circuits, low power IC analog design, mixed signal power management design, emerging memory devices, and neuromorphic computing.
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论文共 31 篇作者统计合作学者相似作者
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2023 IEEE International Symposium on Circuits and Systems (ISCAS)pp.1-4, (2023)
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PRIMEpp.273-276, (2023)
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2023 IEEE Conference on AgriFood Electronics (CAFE)pp.162-166, (2023)
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2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) (2023): 163-170
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERSno. 2 (2023): 618-630
SMACDpp.1-4, (2023)
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IEEE JOURNAL ON EXPLORATORY SOLID-STATE COMPUTATIONAL DEVICES AND CIRCUITSno. 2 (2023): 159-167
Marco Ronchi,Francesco Malena,Michele Caselli, Devis Gatti, Ermano Picco, Elena Salurso,Marco Sosio, Lucio Ticli,Alessandro Tomasoni, Eusebio Di-Cola,Tommaso Majo, Fabio Osnato,
2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)pp.1-4, (2022)
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