Advanced micro and nano fabrications for engineering applications

This document is a compilation of my selected research publications in micro and nano fabrications. The papers are largely arranged in chronological order to show the development of research interests. The research works are grouped into three sections. Section one consists of 34 research papers on micro fabrication in various materials. The research was motivated by the development of a finger nail sized micro engine as explained in Papers 1 and 2. Section two of the document includes some research activities and achievements on nanocomposite materials embedded in metallic and ceramic matrices. Section 3 includes the papers to reflect the research in developing nanostructure fabrication processes. The research contained in this DSc submission shows a continuous exploration and development of novel micro/nano fabrication processes. Although the submission covers research activities spanning 15 years, from 2000 to 2015, many of the research results represent the top technology of the time. They have contributed to the ever progressing manufacturing capability of the world. The research has encompassed both theoretical and experimental studies, contributing to the understanding of the processes and materials involved

Mitigating Fake Digital Media and Quality Assurance

With the introduction of social media, the internet is filled with an excess of data and content. Users feeds are cluttered with fake, malicious, and unnecessary information, polluting their page and wasting their time. As observed in the 2016 US election, spam accounts posting fake news were successfully able to sway political opinion and misinform the general population. Additionally, with social media becoming one of the biggest advertising markets, there is a rise in the number of fake accounts with a large number of followers that mainly consist of bots. It should be a priority to protect the public from false information and businesses that want to make money on social media platforms. Through utilizing Natural Language Processing, image recognition, and recommendation systems, powered through AI and Machine Learning, the goal of our project is to provide the user with content that is verified and tailored to their liking. This report details our plan to mitigate the amount of unnecessary content displayed in front of the user, and the rationale for our designs. It provides a guide for all the completed work, future iterations, performance results, and the reliability of our model as an efficient solution

A Citation Analysis of Articles Published in the Top-Ranking Tourism Journals (2001-2010)

This paper analyses the citations received by research papers in the three top-tier tourism journals, Annals of Tourism Research, Journal of Travel Research, and Tourism Management from 2001 to 2010. ANOVA tests and post-hoc tests shows that mean citation counts in both SSCI and Scopus received by research papers in the three journals were significantly different from each other. Similarly, mean numbers of tourism articles citing the same research papers were also significant for both SSCI and Scopus. Furthermore, OLS regression analysis revealed that the issue in which the article appeared, its order in the issue, and the number of pages significantly influenced total citation counts as well as citations from tourism articles received by research papers in all three journals

Metal Organic Frameworks as Emerging Photocatalysts

Increasing number of metal-organic frameworks (MOFs) have recently been recognised as a new generation of emerging porous photocatalysts in photocatalysis and photoelectrocatalysis, since their intrinsic coordination structure between the metal cluster and organic ligands offers MOFs great flexibility to tune their semiconducting property for enhanced light harvesting. In order to improve their performance substantially and achieve widespread application of MOF photocatalysts, it is necessary to develop effective synthesis strategies and understand their semiconducting crystal structure, photocatalytic mechanism in depth. This chapter firstly provides a brief introduction of the MOF materials; this chapter addresses the crystallinity, porosity and electronic semiconducting structures that are essential in solar energy conversion. Established and innovative syntheses strategies of MOFs are then categorised and illustrated, followed by various characterisations techniques applied to investigate their structural and semiconducting properties (band structure and charge transfer), including X-ray Diffraction XRD, small angle X-ray Diffraction SAXRD, adsorption/desorption, UV-Vis, nuclear magnetic resonance (NMR), extended fine Auger structures (EXFAS), inelastic neutron scattering (INS) spectroscopy, high-resolution transmission electron microscopy (HR)TEM and electrochemical measurements. The photocatalytic and photoelectrocatalytic application of MOFs are introduced addressing their unique photocatalytic mechanism. The perspectives of MOF photocatalysts are finally presented to encourage the future development. The content of this chapter suits the users including beginners, postgraduates and professionals

Multiscale three-dimensional surface reconstruction and surface roughness of porcine left anterior descending coronary arteries

The aim of this study was to investigate the multiscale surface roughness characteristics of coronary arteries, to aid in the development of novel biomaterials and bioinspired medical devices. Porcine left anterior descending coronary arteries were dissected ex vivo, and specimens were chemically fixed and dehydrated for testing. Surface roughness was calculated from three-dimensional reconstructed surface images obtained by optical, scanning electron and atomic force microscopy, ranging in magnification from 10× to 5500×. Circumferential surface roughness decreased with magnification, and microscopy type was found to influence surface roughness values. Longitudinal surface roughness was not affected by magnification or microscopy types within the parameters of this study. This study found that coronary arteries exhibit multiscale characteristics. It also highlights the importance of ensuring consistent microscopy parameters to provide comparable surface roughness values

Optimization of Spiral MRI Using a Perceptual Difference Model

We systematically evaluated a variety of MR spiral imaging acquisition and reconstruction schemes using a computational perceptual difference model (PDM) that models the ability of humans to perceive a visual difference between a degraded “fast” MRI image with subsampling of k-space and a “gold standard” image mimicking full acquisition. Human subject experiments performed using a modified double-stimulus continuous-quality scale (DSCQS) correlated well with PDM, over a variety of images. In a smaller set of conditions, PDM scores agreed very well with human detectability measurements of image quality. Having validated the technique, PDM was used to systematically evaluate 2016 spiral image conditions (six interleave patterns, seven sampling densities, three density compensation schemes, four reconstruction methods, and four noise levels). Voronoi (VOR) with conventional regridding gave the best reconstructions. At a fixed sampling density, more interleaves gave better results. With noise present more interleaves and samples were desirable. With PDM, conditions were determined where equivalent image quality was obtained with 50% sampling in noise-free conditions. We conclude that PDM scoring provides an objective, useful tool for the assessment of fast MR image quality that can greatly aid the design of MR acquisition and signal processing strategies