
Daniel Bradford MillerUniversity of South Alabama | USA · School of Computing
Daniel Bradford Miller
BSC in Information Technology
About
9
Publications
635
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93
Citations
Citations since 2017
Introduction
Daniel Bradford Miller is currently pursuing a Ph.D. in Computing at the University of South Alabama School of Computing. Daniel's research interests include Applied Computing, Embedded Systems, Information Assurance, Digital Forensics, and Data Recovery. His current research focuses on digital forensic investigations of Additive Manufacturing systems, aka. 3D printers.
Education
August 2015 - May 2020
January 2011 - August 2015
January 2002 - December 2008
Publications
Publications (9)
The continued adoption of Additive Manufacturing technologies is raising concerns in the security, forensics, and intelligence gathering communities. These concerns range from identifying and mitigating compromised devices, to theft of intellectual property, to sabotage, to the production of prohibited objects. Previous research has provided insigh...
The continued adoption of Additive Manufacturing (AM) technologies is raising concerns in the security, forensics, and intelligence gathering communities. These concerns range from identifying and mitigating compromised devices, to theft of intellectual property, to sabotage, to the production of prohibited objects. Previous research has provided i...
Additive manufacturing, also known as 3D printing, is a rapidly growing technology that enables the production of customized complex objects. Its proliferation into both industrial and consumer markets, combined with the potential for misuse, raises questions about how to investigate an incident involving 3D printers. A survey of product documentat...
MiRNA genes (miRNA precursor genes) share some common structural elements with protein genes. As with protein genes, the promoters of miRNA genes are necessary to regulate the expression of miRNA. The computation methods used to find the promoter regions of the protein genes have been applied to miRNA genes and some methods have been designed speci...
MicroRNA (miRNA) are negative regulators of gene expression and subsequent protein production. This method of action translates into regulatory control over cellular processes, including development, signaling, metabolism, and apoptosis. A broad range of miRNA are shown to have abnormal expressions in thyroid cancers which could explain the patholo...
High-dimensional data, or high-feature variables, are often used to describe the characteristics of microRNA sequence and microarray data. As a consequence, the curse of high dimension often becomes a problem. High-dimension variables lead to many difficulties in processing and can be hard to understand. On the other aspect, as the sample size rath...
Diabetes is a severe condition worldwide. It is characterized by chronic hyperglycemia and is caused by defects in insulin production, secretion, and action. Both genetic and environmental factors contribute to the
development of type 1 and type 2 diabetes. The pathogenesis of diabetes is complex and the underlying molecular mechanisms are only pa...
Even though it is a pandemic health problem worldwide, the pathogenesis of obesity is poorly understood. Recently, emerging studies verified that microRNAs (miRNAs) are involved in complicated metabolic processes including adipocyte differentiation, fat cell formation (adipogenesis), obesity-related insulin resistance and inflammation. Many regulat...
Sequencing technologies have made considerable advancements. From the Sanger sequencing method to the next-generation sequencing (NGS) methods, and from the NGS methods to the third-generation sequencing methods, we can see the development thread of the sequencing technology. Currently, NGS is the main contender in the sequencing market. NGS techno...
Projects
Projects (2)
Develop methods and analysis techniques for digital investigations of AM systems