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Section: Publications & Resources
As an authentication method, biometrics offer unparalleled convenience and security. With very little for users to remember and do, there is also very little that they can do incorrectly, thus limiting the attack surface of an authentication system. Unfortunately, biometrics also present a challenging privacy/security tradeoff: biometric data...
Section: Publications & Resources
Non-line-of-sight (NLoS) imaging is an exciting technology which uses time-resolved sensors to see objects that are hidden from view. In essence, NLoS imaging lets someone turn a wall into a mirror. This talk will highlight recent advances in NLoS imaging, with an emphasis on the algorithms which underlie their operation.
Section: Publications & Resources
Many tasks in medicine still involve substantial manual work. In many cases there is strong potential for intelligent automation by Artificial Intelligence (AI), leading possibly to a reduction in costs and man-hours, while increasing the quality of clinical service.
Section: Publications & Resources
Dr. Li is a Singaporean scientist, and a Chinese Teochew native. He is now a Presidential Chair Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen, China. He did his Ph.D in digital signal processing of speech in 1990, and spent the past three decades to refine the technology.
Section: Publications & Resources
Publication: IEEE Journal of Selected Topics in Signal Processing
Manuscript Due: 15 August 2023
Publication Date: March 2024
Section: Publications & Resources
This dissertation develops Defense through AI-powered SYstem-scientific methods (DAISY) for high-confidence Cyber-Physical Systems (CPSs). We start by designating five generations of Security Paradigms (SPs) that have evolved since the birth of the Internet.
Section: Publications & Resources
Shrikanth (Shri) Narayanan is University Professor and Niki & C. L. Max Nikias Chair in Engineering at the University of Southern California, where he is Professor of Electrical & Computer Engineering, Computer Science, Linguistics, Psychology, Neuroscience, Pediatrics, and Otolaryngology-Head & Neck Surgery, Director of the Ming Hsieh Institute and Research Director of the Information Sciences Institute.
Section: Publications & Resources
The Principal Component Analysis (PCA) is considered to be a quintessential data preprocessing tool in many machine learning applications. But the high dimensionality and massive scale of data in several of these applications means the traditional centralized PCA solutions are fast becoming irrelevant for them.
Section: Publications & Resources
The Principal Component Analysis (PCA) is considered to be a quintessential data preprocessing tool in many machine learning applications. But the high dimensionality and massive scale of data in several of these applications means the traditional centralized PCA solutions are fast becoming irrelevant for them.
Section: Publications & Resources
The Audio Engineering Society (AES), the IEEE Consumer Technology Society (CTSoc), and the IEEE Signal Processing Society (SPS) cordially invite you to a first-of-a-kind joint event discussing the state of the art perspectives in this rapidly evolving field.
