Big Data, IoT, and Machine Learning
Rashmi Agrawal, Marcin Paprzycki, Neha Gupta, Rashmi Agrawal, Marcin Paprzycki, Neha Gupta
2 289 kr
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Rashmi Agrawal received her M.S. degree in Computer Engineering from Boston University, Boston, USA in 2017. She is currently a Ph.D. candidate in ECE department at Boston University. She is a member of the Integrated Circuits and System Group (ICSG) and is advised by Prof. Ajay Joshi. She received best paper awards at GLVLSI 2020 and ICCD 2020. Her research interests include designing efficient architectures and co-processors for post-quantum cryptography and hardware acceleration of privacy-preserving computing using fully homomorphic encryption. Ajay Joshi received PhD from Georgia Institute of Technology in 2006. He was a Post-Doctoral Researcher at Massachusetts Institute of Technology from 2006 to 2009 and a Visiting Research Scientist at Google from 2017 to 2018. He is currently a Professor with the Department of Electrical and Computer Engineering (ECE) at Boston University (BU). He received the Google Faculty Research Award 2018 and 2019, Best Paper Award at ASIACCS 2018, the BU ECE’s award for Teaching Excellence in 2014, and NSF CAREER award in 2012. Broadly, his research interests include computer architecture, security, digital VLSI, and silicon photonics.
“This book must be considered a game changer in the field of data security and privacy. Itis a true testament to the boundless potential of technology when put in the hands of brilliant minds. … The book has a meticulous approach to both theoretical and practical aspects. … The clarity of the research, the concise presentation of key concepts, and the well-structured arguments make it a valuable resource for anyone interested in this cutting-edge field.” (Mihailescu Marius Iulian, Computing Reviews, October 16, 2023)
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