NVTC

NVTC University Technology Exhibition

March 23, 2012

BREAKOUT PRESENTATION DESCRIPTIONS:

Cybersecurity
Energy
Health IT/Biotechnology
Sensors


Cybersecurity

Artificial Malware Immunization - George Mason University
George Mason University explores a new direction in building the artificial malware immunization capabilities that can automatically "immunize" otherwise vulnerable programs against previously unknown attacks. GMU's artificial malware immunization is able to locate and identify the first (and all the rest) nonself system calls and shell commands issued by the malware in real-time.

Active Sensing for Dynamic Spectrum Access - University of Maryland
The ability to authenticate and classify wireless transmissions utilizing cryptographic methods at the physical (PHY) layer, as opposed to higher layers, is important, as it prevents wasteful processing of unintended transmissions and permits nodes to quickly authenticate legitimate users and recognize unauthorized users. Researchers at the University of Maryland have developed a novel PHY layer fingerprinting method for orthogonal frequency division multiplexed (OFDM) transmissions, where side information is incorporated into the fingerprint design. This fingerprint message is only visible to aware receivers who explicitly perform detection of the signal, but is invisible to receivers employing typical channel equalization.

Securing Cloud through Better Architecture and Placement - Virginia Commonwealth University
Research at Virginia Commonwealth University is looking into the placement of virtual machines to benefit both security and performance, and new virtualization architecture to develop more secure virtual machine monitors.

Cybersecurity Research at Virginia Tech - Virginia Tech
Cybersecurity covers a broad field of technology, supporting attack and defense of computer systems and networks. Virginia Tech will present research at Virginia Tech, including mobile security, with a focus on securing smartphones and the broadband networks they connect to, and cyber analytics, with a focus on making network defenders better able to interact with data.



Energy

Nanocomposites and Robust Surface Technology for Fuel Economy Improvement - The George Washington University
Global efforts are needed to improve fuel economy of automobiles. This robust surface technology from The George Washington University offers an opportunity to reduce frictional losses in internal combustion engines.

Solar Energy Technology - University of Virginia
Fossil fuels will not be replaced by a single "silver-bullet" energy source - there will be a variety of niche energy sources. At present, it is difficult to predict which ones will emerge to be serious sources and which ones will remain in the "potential" category. Solar appears to be one of the leading contenders but there are still significant challenges.

Rice Hall Living Laboratory - University of Virginia


Health IT/Biotechnology

Machine-aided Translation of Narrative Clinical Notes to HL7 Clinical Document Archive - George Mason University
Narrative clinical documents need to be converted into HL7 CDA standard so that computer applications can process the information for fraud detection, quality assurance and decision support. The manual conversion process is expensive. This George Mason University invention leverages machine-aided translation technology to raise the productivity and reduce the cost of the conversion.

Best Practice Care - Depression - The George Washington University
The George Washington University will present about an information technology-based solution for improving care of depression.

An Automated Real-time Microcirculation Assessment Method for Monitoring of Tissue Oxygenation and its Clinical Applications - Virginia Commonwealth University
Real-time analysis of microcirculation videos in order to quantitatively assess the level of tissue oxygenation and perfusion, which plays a vital role in early detection and evaluation of a number of injuries and illnesses such as diabetes, sickle cell anemia, acute diarrhea, hemorrhagic shock and many different types of cardiovascular diseases. This technology developed by Virginia Commonwealth University and Signal Processing Technologies LLC is an accurate, fully automated and real-time system for quantitative analysis of microcirculation videos and has now been implemented in the form of commercial software, which is currently being evaluated for research applications.

The Changing Role of Universities in Pharmaceutical Research and Development - Virginia Tech
Despite quadrupling their research and development (R&D) budgets over the past 15 years, pharmaceutical companies continue to see an erosion of new drug approvals, with less than half the number approved last year as compared to 1996. In addition, the industry will lose patent protection on $75 billion in branded drugs through 2015, and faces pressure for additional cost savings from governmental and societal organizations. As a consequence, the industry is increasingly looking for ways to spread out the risks of R&D by partnering with academia, government laboratories and biotech companies. This talk from Virginia Tech will focus on this increasing role for academia in drug discovery.


Sensors/Sensing

Reagentless Hand-held Cell Lysis Device for Point of Care Analysis - The George Washington University

CMOS & Microfluidic Hybrid System on Chip for Molecule Detection - The George Washington University
A breakthrough technology is offered for molecular diagnostics, food safety inspection and biohazard detection.

Sensing Small Changes in a Wave Chaotic Scattering System - University of Maryland
A traditional approach of monitoring a complicated enclosure is to use a network of several wave-based sensor units each monitoring a limited region of the enclosure. Researchers at the University of Maryland James Clark School of Engineering have developed an approach whereby a single, cost-effective wave-based sensor unit can monitor the enclosure as a whole. This sensor actually takes advantage of the information of ray trajectories that ergodically explore the cavity through multiple reflections before collapsing back on the sensor, which would previously have confounded traditional sensors.