List

The Secure Decisions team will conduct research to: 1) determine how human dimensions of software engineering (SE) processes influence software security and quality; and 2) develop mechanisms for measuring these relationships in both open source and closed (private) development environments. The human dimensions of interest are: characteristics and behaviors of developers and development teams; en ...

Circular RNAs (circRNAs) are a novel class of non-coding RNAs that are an abundant component of the epitranscriptome. Putative functions of circRNAs, include miRNA sequestration, RNA-binding protein scaffolding, mRNA trapping, and protein translation regulation. Deregulation in one or more of these roles has been linked to several types of cancer, including pancreatic cancer, basal cell carcinoma, ...

We plan to evaluate the chemopreventive management of solar ultraviolet (UV) mediated DNA damage by two different Nanoformulation of epigallicatechin-3-gallate (EGCG). The formulations to be assessed under this study include: a) chitosan based formulation of EGCG (nano-EGCG), and b) EGCG containing chitosan based solid lipid nanoparticles (E-Ch-SLNPs). EGCG is well-tested and popular polyphenol in ...

Generation of high-resolution 3D anatomic and dynamic images without exposing patients to ionizing radiation renders MRI the preferred imaging modality for the detection of tumor extent and treatment response to neo-adjuvant and adjuvant medical therapies. The goal of this proposal is to develop a non-invasive, in vivo imaging-based platform that can repeatedly generate three-dimensional molecular ...

Metabolomics research has great potential, and researchers are rapidly producing new techniques for analyzing the large quantities of measurement data in order to utilize metabolomic data more effectively, including promising techniques for data integration across multiple modalities of data from mass spectrometry (MS) and nuclear magnetic resonance (NMR). However, this confluence of data growth a ...

Data-rich applications, such as web servers, web browsers, and document editors, are inherently vulnerable to non-control data attacks, i.e., attacks that exploit memory corruption vulnerabilities to leak or corrupt sensitive data. We propose Dobby, a tool that statically transforms software binaries to integrate run-time checks ensuring illicit data flows caused by memory corruption errors in the ...

Numerous machine learning frameworks exist, each with highly variable support for accelerated computing (e.g. Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), etc). A library of machine learning primitives couldsupport the many disparate frameworks and boost the advancement of machine learning research and programs, such as those underway in the DARPA Data-Driven Discovery ...

Developing knowledge-driven nanoelectronics for military applications requires understanding the fundamental physics that governs the behavior of the underlying materials. Strongly correlated materials have very desirable properties such as interfacial superconductivity, ferroelectricity, ferromagnetism, and huge magnetoresistance, which make them an ideal set of candidates to integrate with semic ...

From HIV to metastatic cancer, state-of-the-art therapeutics are static biological or pharmaceutical compoundswhose efficacy is inevitably lost once their evolving disease targets sufficiently mutate.We engineered the first adaptive therapeutics designed to co-adapt with adapting disease agentsto provide resistance-proof disease control. Known as Therapeutic Interfering Particles (TIPs), these the ...

Unlike conventional computers, the embedded computers found in vehicles, routers and other Internet of Things devices lack the capability to have their software remotely updated. Vulnerabilities discovered in such devices remain unpatched, creating a large and growing attack surface. We propose to address this limitation in our Identification and Modification of Features in Embedded Devices (IMFED ...