Amir Zjajo

Amir ZjajoAmir Zjajo received the M.Sc. and DIC degrees from the Imperial College London, London, U.K., in 2000 and the PhD. degree from Eindhoven University of Technology, Eindhoven, The Netherlands in 2010, all in electrical engineering. In 2000, he joined Pilips Research Laboratories as a member of the research staff in the Mixed-Signal Circuits and Systems Group. From 2006 until 2009, he was with Corporate Research of NXP Semiconductors as a Senior Research Scientist. In 2009, he joined Delft University of Technology, Delft, The Netherlands, as a Faculty Member with the Circuits and Systems Group. In 2018, he co-founded Innatera Nanosystems B.V. to commercialize bionic signal processing technology. Dr. Zjajo has published more than 80 papers in referenced journals and conference proceedings, and holds more than 10 US patents or patent pending. He is author of the books Brain-Machine Interface: Circuits and Systems (Springer, 2016), Low-Voltage High-Resolution A/D Converters: Design, Test and Calibration (Springer, 2011, Chinese translation, China Machine Press, 2015), and Stochastic Process Variations in Deep-Submicron CMOS: Circuits and Algorithms (Springer, 2013). He served as a member of Technical Program Committee of IEEE International Symposium on Quality Electronic Design, IEEE Design, Automation and Test in Europe Conference, IEEE International Symposium on Circuits and Systems, IEEE International Symposium on VLSI, IEEE International Symposium on Nanoelectronic and Information Systems, and IEEE International Conference on Embedded Computer Systems. His research interests include energy-efficient digital/mixed-signal circuit and system design for biomedical and mobile applications, on-chip machine learning and inference, sensor fusion, and bionic electronic circuits for autonomous cognitive systems. Read More Read Less

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Brain-Machine Interface37 %
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25 Apr 2018
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Low-Power High-Resolution Analog to Digital Converters37 %
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23 Aug 2016
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Stochastic Process Variation in Deep-Submicron CMOS37 %
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28 Nov 2013
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Brain-Machine Interface37 %
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08 Apr 2016
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Low-Power High-Resolution Analog to Digital Converters37 %
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05 Nov 2010
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Stochastic Process Variation in Deep-Submicron CMOS37 %
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23 Aug 2016
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Real-Time Multi-Chip Neural Network for Cognitive SystemsNR
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