Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors - Sengupta, Anirban
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This book presents the state-of-the art in hardware security of digital signal processing (DSP) and machine learning coprocessors using physical biometrics and molecular signature biometrics, for an audience of academic researchers, industry researchers and developers, and advanced students with an interest in the field.

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Produktbeschreibung
This book presents the state-of-the art in hardware security of digital signal processing (DSP) and machine learning coprocessors using physical biometrics and molecular signature biometrics, for an audience of academic researchers, industry researchers and developers, and advanced students with an interest in the field.
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Autorenporträt
Anirban Sengupta is an associate professor in the Discipline of Computer Science and Engineering at Indian Institute of Technology (IIT) Indore. He has around 270 publications and patents, 50 book chapters and 5 books. He is a recipient of awards/honors such as Fellow of IET, Fellow of British Computer Society, Fellow of IETE, IEEE Chester Sall Memorial Consumer Electronics Award, IEEE Distinguished Lecturer, IEEE Distinguished Visitor, IEEE CESoc Outstanding Editor Award, IEEE CESoc Best Research Award from CEM, Best Research paper Award in IEEE ICCE 2019, IEEE Computer Society TCVLSI Outstanding Editor Award and IEEE TCVLSI Best Paper Award in IEEE iNIS 2017. He held/holds around 17 Editorial positions in IEEE/IET Journals. He is the Editor-in-Chief of IEEE VCAL (Computer Society TCVLSI), Deputy EiC of IET Computers & Digital Techniques and General Chair of 37th IEEE Int'l Conference on Consumer Electronics (ICCE) 2019, Las Vegas. He is consistently ranked in Stanford University's Top 2% Scientists globally across all domains.