Yi Li
Assistant Professor
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About
Yi Li is an Assistant Professor at The University of Texas at Dallas, USA. His research areas include machine learning applications in biomedical contexts, particularly focusing on neurostimulation, cancer treatment, and genetic functions. Recent publications highlight his work on predicting tissue damage due to neurostimulation and enhancing detection methods for viral pathogens. He is also involved in investigating gene expression and host-pathogen interactions.
Articles (10)
Year:
2024
Year:
2024
Year:
2023
Year:
2022
A physical unclonable function (PUF) is a physical entity that provides a measurable output that can be used as a unique and irreproducible identifier for the artifact wherein it is embedded. Popularized by the electronics industry, silicon PUFs leverage the inherent physical variations of semiconductor manufacturing to establish intrinsic security primitives for attesting integrated circuits. Owing to the stochastic nature of these variations, photolithographically manufactured silicon PUFs are impossible to reproduce (thus unclonable). Inspired by the success of silicon PUFs, we sought to create the first generation of genetic PUFs in human cells. We demonstrate that these PUFs are robust (i.e., they repeatedly produce the same output), unique (i.e., they do not coincide with any other identically produced PUF), and unclonable (i.e., they are virtually impossible to replicate). Furthermore, we demonstrate that CRISPR-engineered PUFs (CRISPR-PUFs) can serve as a foundational principle for establishing provenance attestation protocols.
Year:
2022
Year:
2022
Year:
2021
Year:
2020
Year:
2020
Year:
2020
Collaborators (6)
fatemeh hassanipour
assistant professor
University of Texas at Dallas
Clark Meyer
University of Texas at Dallas
Zhenpeng Qin
Adjunct Assistant Professor
University of Texas Southwestern Medical Center
Stuart Cogan
Professor
University of Texas at Dallas
Neha Potnis
Auburn University
Leonidas Bleris
University of Texas at Dallas
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