University of Virginia School of Engineering and Applied Science professors William Epling and Roseanne Ford were elected as fellows to the American Institute of Chemical Engineers. They are recognized for their expertise in environmental catalysis and bacterial chemotaxis, respectively.
Researchers at UVA have developed a new polymer design that decouples stiffness and stretchability, allowing materials to be both strong and flexible. The 'foldable bottlebrush polymer networks' can store extra length within their structure, enabling them to elongate up to 40 times more than standard polymers without weakening.
Researchers at UVA discovered the heart reacts to viral infections in one of three ways, with specific gene patterns indicating healing or damage. This finding may lead to better treatments for people at risk of heart failure and other chronic conditions linked to viral infections.
Researchers found that membership inference attacks on large language models (LLMs) are not effective in measuring information exposure risks. The common method used to test LLM leaks suffers from ambiguity due to the fluidity of language, making it difficult to define a representative set of non-member candidates.
Devin Harris and his team have developed an augmented reality app, STRUCT-AR, that allows students to 'stress test' virtual bridges, beams, frames, and trusses. The app, which is set to be tested this spring, aims to improve students' understanding of structural behavior by providing a more interactive and immersive learning experience.
The AI-powered system can detect toxic gases like nitrogen dioxide in real-time, identifying the source of harmful gas leaks. The system's optimization technique ensures fewer resources are used while providing faster and more accurate gas leak detection.
Researchers at the University of Virginia have confirmed a key principle governing heat flow in thin metal films, paving the way for advancements in technology and more efficient devices. The study validated Matthiessen's rule in ultra-thin copper films, providing a blueprint to mitigate thermal bottlenecks.
Researchers are using historical, qualitative, and statistical methods to investigate the needs of over 70 million people in the US who self-identify as having a disability. The study aims to measure specific dimensions of structural ableism and create ways to address its impact on healthcare disparities.
Professor Patrick E. Hopkins of UVA School of Engineering and Applied Science has secured a $289,830 Small Business Innovation Research grant to develop a precise tool for measuring heat movement in microchips. The technology will enhance cooling and prevent overheating in next-generation devices.
Researchers developed a more sustainable 3D-printed concrete material combining graphene with limestone and calcined clay cement. The new material offers enhanced strength and durability while significantly reducing carbon emissions, making it a powerful solution for addressing environmental challenges in 3D printed construction.
Researchers developed an AI model that addresses uncertainties in renewable energy generation and electric vehicle demand, making power grids more reliable. The model uses multi-fidelity graph neural networks to optimize solutions within seconds, improving grid performance even under unpredictable conditions.
A University of Virginia-led research team has developed new protective coatings that allow turbine engines to run at higher temperatures before components begin to fail. The coatings were created using rare earth oxides and have shown improved performance without complex multi-layer coatings.
A UVA professor has developed a new computational algorithm to find tightly connected clusters, or triangle-dense subgraphs, within large networks. This breakthrough can help uncover suspicious activity in fraud detection and identify community dynamics on social media with greater precision.
Researchers at UVA have developed an AI-driven system that optimizes manufacturing processes, improving speed and quality while reducing waste. The system uses Multi-Agent Reinforcement Learning to coordinate tasks in real-time, leading to faster production and reduced downtime across various industries.
A groundbreaking study has demonstrated the clinical success of a new nanoparticle-based, laser-guided therapy for prostate cancer treatment. The therapy successfully eliminated cancerous cells in 73% of patients after 12 months while preserving key functions and side effects.
Researchers at UVA's School of Engineering and Applied Science have developed an AI-driven intelligent video analyzer capable of detecting human actions with unprecedented precision and intelligence. The system, called SMAST, promises to transform industries such as surveillance, healthcare, and autonomous driving.
Biomedical engineer Jeff Saucerman has received a $3.1 million NIH grant to study low-density lipoprotein receptor 1 and its impact on heart failure and treatment outcomes after a heart attack.
The University of Virginia has been awarded an $8 million grant to develop compact, chip-scale photonic systems that enhance the sensitivity of optical detectors. These advancements have the potential to transform fields like night vision technology and biomedical imaging.
Researchers have made breakthroughs in creating nanoparticles that can modify the immune system to accept transplanted organs without compromising it. This new approach has potential implications for treating diabetes, cell therapy, and autoimmune disorders, offering hope for patients who currently face rejection.
A team of researchers aims to improve autonomous vehicle safety by identifying and mitigating vulnerabilities in software and hardware. They plan to use knowledge gained from a $926,737 NSF award to design protection mechanisms that can be applied selectively to ensure safety while maximizing efficiency.
A University of Virginia engineer developed a workflow to combine advanced imaging technologies for improved understanding of porous bone, which could inform disease detection. The method allows for three-dimensional rendering of bone structure across various length scales.
Researchers aim to advance training methodologies for superintelligent systems, ensuring they learn from imperfect and evolving data. The project seeks to develop new techniques to improve AI reliability, reduce biases, and increase accuracy.
Hassan's research focuses on creating advanced techniques for collecting and integrating data provenance to enhance threat detection. The project also includes educational initiatives to prepare the next generation of cybersecurity professionals.
Closing Colorado's 'free river conditions' loophole could save millions of cubic meters of water and reduce stress in the region. The loophole allows anyone to take as much water as they want from the river, threatening the success of any payment program for farmers not irrigating their land.
A multi-university research team led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can accurately spot genetic markers of autism in brain images. The system uses generative computer modeling technique called transport-based morphometry, which reveals brain structure patterns that predict v...
Researchers aim to bridge educational divide with a multifaceted approach to equip teachers and students with essential AI skills. The project will foster proficiencies in communication, leadership, teamwork, and critical thinking while addressing real-world challenges through AI.
Researchers at the University of Virginia School of Engineering and Applied Science have designed a drug-carrying molecule that can slip past the lung's natural defenses. The nanocarrier, called PEG-BB, is shaped like a bottlebrush and mimics the properties of mucus, allowing it to move quickly through the airway.
The University of Virginia School of Engineering and Applied Science will create a character-building initiative with the new grant. The ECSI aims to develop future leaders who are prepared and motivated to apply values in professional contexts. UVA Engineering is committed to integrating character education into its undergraduate curr...
Liheng Cai, a UVA engineering professor, has received a $1.9 million NIH grant to create advanced biomaterials that can be used to repair living tissues and build organ structures. His lab aims to develop polymers that mimic human biology and integrate healthy cells into the human body.
A UVA research team introduces a game-changing additive to 3D-printed concrete, enhancing its printability and mechanical properties. The study demonstrates the potential for more resilient and eco-friendly construction practices using cellulose nanofibrils.
Researchers at UVA School of Engineering and Applied Science developed artificial compound eyes that mimic praying mantis vision, offering improved depth perception and reduced power consumption by over 400 times compared to traditional systems.
A UVA research team has developed biomaterials with controlled mechanical properties matching those of various human tissues, representing a significant leap in bioprinting technologies. Their unique digital assembly of spherical particles (DASP) technique can deposit particles of biomaterial in a supporting matrix to build 3D structur...
The UVA School of Engineering and Applied Science has been awarded a collective $10 million in research grants by Susan G. Komen, including a $100,000 grant for doctoral student Catalina Alvarez Yela's work on triple negative breast cancer.
A new US-based database of hurricane evacuation orders can help leaders and communities increase resilience, create better policy, and ultimately reduce loss of life. The HEvOD database includes nationwide public-facing evacuation orders from 2014-2022, offering insights into effective strategies for future emergencies.
Scientists at UVA and Toyota Research Institute create language representations of driving behavior to enable robots to associate words with environmental interactions. This allows cars to provide guidance and adjust speed in challenging situations, improving safety and usability.
A team of UVA civil and environmental engineers and environmental scientists have developed a web-based decision-support tool, called the Climate Equity Atlas, to help residents deal with the challenges caused by climate change. The tool combines historical environmental data and socioeconomic data to create a sophisticated predictive ...
Researchers explore quantum optical technology to solve scalability and accuracy issues in quantum computing, aiming to develop new drugs faster and more efficiently. Photon-based systems offer a solution by reducing physical components, increasing opportunities for scaling and stability.
The US Department of Transportation has awarded the University of Virginia's Center for Applied Biomechanics eight competitive research contracts totaling $4.1 million to further automotive safety research. The center will study demographic variations in injury risk, vehicle impact, and pedestrian fatalities.
Venkat's project aims to reduce attack response time and protect programs from other attacks by developing a 'decoupled' security response system. His approach could help stop emerging zero-day cyberattacks within 24-48 hours, reducing time and dollar costs of frequent patching.
A University of Virginia team has developed a new analytical tool using hydrogels to cultivate vascular sprouting from mouse lung tissue, providing new insight into idiopathic pulmonary fibrosis. The research aims to understand the biomechanical and biochemical cues to blood vessels in the lungs during disease progression.
Researchers aim to create machine learning tools that can analyze and quantify shape information from images, enabling more accurate diagnoses and improving patient care. A new family of deep neural networks, called DSNNs, will be developed to tackle AI's blind spot in image analysis.
UVA professor Patrick Hopkins is developing a 'freeze ray' technology to cool electronics in spacecraft and high-altitude jets, which can't be cooled by nature due to the vacuum of space. The technology uses heat-generating plasma to create localized cooling, and has been granted $750,000 by the Air Force.
Researchers developed a liquid nanofoam cushion that can absorb and dissipate high-force blows in collisions, reducing the risk of injury. The material is more flexible, comfortable to wear, and can be designed as lighter and smaller protective devices.
A University of Virginia-led study challenges traditional understanding of associative polymers' behavior, revealing that reversible bonds slow down polymer movement without creating a rubbery network. This discovery has implications for materials used in sustainability, health, and engineering applications.
Researchers aim to understand and utilize quasiparticles called excitons, which can transport energy without a net electric charge. The goal is to design energy-efficient systems that detect and emit light across a wide range of frequencies.
Dr. Miaomiao Zhang's research aims to automate late mechanical activation detection from cardiac magnetic resonance images using machine learning and AI techniques. This could lead to more accurate placement of CRT electrodes and improved patient outcomes.
A UVA research team developed a real-time detection method for keyhole pore generation in laser powder bed fusion, achieving a 100% prediction rate. This approach expands additive manufacturing capabilities for aerospace and other industries relying on strong metal parts.
University of Virginia engineers develop a Minecraft-like, voxelated approach to create complicated structures comparable to human tissues and organs. They use droplets as the basic building blocks, assembling them into 3D constructs with precise location, composition, and properties.
Kyusang Lee's new sensor system uses artificial intelligence to process different types of signals, mimicking human biology, and can detect viruses. The system meets challenges of data bottlenecks, energy consumption, and data protection, making it a breakthrough in the Internet of Things.
Researchers at the University of Virginia have developed a new material system that allows for the co-location of computation and memory on a single chip. This breakthrough could help flatten the energy demand curve for computing and reduce the strain on power grids.