Paul Beckett

Dr. Paul Beckett

School of Electrical and Biomedical Engineering, RMIT University, Melbourne, Australia

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 February 2012 in Journal of Signal Processing Systems
Verified
Journal Article
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Tayab MemonTayab Memon
Tayab Memon
PBPaul Beckett
Paul Beckett
ASAmin Z. Sadik
Amin Z. Sadik

23 August 2021 in Nanomaterials
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Journal Article
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JZJunyan Zheng
Junyan Zheng
XHXIN HE
XIN HE
PBPaul Beckett
Paul Beckett
XSXinjie Sun
Xinjie Sun
CZCai Zixin
Cai Zixin
XHXiang Hao
Xiang Hao
Dichroic circular polarizers (DCP) represent an important group of optical filters that transfer only that part of the incident light with the desired polarization state and absorb the remainder. However, DCPs are usually bulky and exhibit significant optical loss. Moreover, the integration of these kinds of DCP devices can be difficult and costly as different compositions of chemicals are needed to achieve the desired polarization status. Circular polarizers based on metasurfaces require only thin films in the order of hundreds of nanometers but are limited by their sensitivity to angle of incidence. Furthermore, few existing solutions offer broadband operation in the visible range. By using computational simulations, this paper proposes and analyses a plasmonic DCP structure operating in the visible, from 400 nm to 700 nm which overcomes these drawbacks. The resulting circular dichroism transmission (CDT) is more than 0.9, and the maximum transmission efficiency is greater than 78% at visible wavelengths. These CDT characteristics are largely independent of angle of incidence up to angles of 80 degrees.

1 December 2010 in Journal of Signal Processing Systems
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Journal Article
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PBPaul Beckett
Paul Beckett
Tayab MemonTayab Memon
Tayab Memon


1 November 2005
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Conference Paper
Closed access
PBPaul Beckett
Paul Beckett
A fine-grained reconfigurable array based on complementary, dual-gate, fully depleted, silicon on insulator (DGFD-SOI) nanowire transistors is proposed and analyzed. Both low power and reconfigurable operation may be achieved by altering the switching threshold of the array using the back-gate bias on the complementary double-gate transistors. Simulated performance figures are presented for the array when configured into representative circuits and compared with two similar self-assembled molecular arrays. It is shown that SOI nanowire arrays can achieve dense, low-power reconfigurable operation without the overheads of either level restoration or additional gain blocks that may be required by molecular-based systems.

15 November 2016 in arXiv
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JKJeeson Kim
Jeeson Kim
TATaimur Ahmed
Taimur Ahmed
HNHussein Nili
Hussein Nili
JYJiawei Yang
Jiawei Yang
DJDoo Seok Jeong
Doo Seok Jeong
Omid KaveheiOmid Kavehei
Omid Kavehei
A unique set of characteristics are packed in emerging nonvolatile reduction-oxidation (redox)-based resistive switching memories (ReRAMs) such as their underlying stochastic switching processes alongside their intrinsic highly nonlinear current-voltage characteristic, which in addition to known nano-fabrication process variation make them a promising candidate for the next generation of low-cost, low-power, tiny and secure Physically Unclonable Functions (PUFs). This paper takes advantage of this otherwise disadvantageous ReRAM feature using a combination of novel architectural and peripheral circuitry. We present a physical one-way function, nonlinear resistive Physical Unclonable Function (nrPUF), potentially applicable in variety of cyber-physical security applications given its performance characteristics. We experimentally verified performance of Valency Change Mechanism (VCM)-based ReRAM in nano-fabricated crossbar arrays across multiple dies and runs. In addition to a massive pool of Challenge-Response Pairs (CRPs), using a combination of experimental and simulation, our proposed PUF shows a reliability of 98.67%, a uniqueness of 49.85%, a diffuseness of 49.86%, a uniformity of 47.28%, and a bit-aliasing of 47.48%.