Our research focuses on developing techniques to increase resilience, autonomy, and assured safety of modern Robotic and Cyber-Physical Systems. Our work is/has been sponsored by national agencies like NSF, DARPA, ONR, AFRL and companies like MITRE and LEIDOS.
The work of Dean Craig H. Benson's lab broadly falls into the field of geoenvironmental engineering, spanning several focus areas, including: municipal solid waste, hazardous waste, coal combustion residuals, mixed radioactive waste, and mining and mineral processing wastes. The impact of our work harnesses natural processes to prevent landfills from leaking pollutants into groundwater, balancing the need to keep the natural world clean and healthy with society's goals of economic growth and robust industries.
Long-term ecological research at Coweeta has been the product of a series of collaborative agreements between the University of Georgia Research Foundation in Athens, Georgia, and the USDA Forest Service Coweeta Hydrologic Laboratory in Macon County, North Carolina, with many other cooperating Universities. These research agreements preceded NSF funding of the Coweeta LTER (CWT) in 1980 as one of six original sites in the US LTER Network. CWT field operations are based out of the Coweeta Hydrologic Laboratory. CWT has been dedicated to developing process understanding of ecological dynamics in montane deciduous forests of the southern Appalachians.
This lab’s two research areas are related to the fields of haptics, human-machine interaction, and computational neuroscience. Researchers are using computational models and artificial sensor correlates to understand the neural basis of touch and capture the neural behavior of the skin-receptor interaction. In addition, the work to understand the science of tactile perception is applied in the design of simulators. We are working with a group of clinicians and medical and nursing educators to create human-machine interfaces to train health care practitioners.
Director: Gregory Gerling, Associate Professor, Systems Engineering
This research group focuses on analyses and solutions for problems in global hydrology and water resources using modeling and observations (both from in-situ and remote sensing). These problems include (but are not limited to) floods, droughts, permafrost, landslides and water supply. We use standard hydrological models and advanced techniques such as AI/ML.
The Human-AI Technology Lab seeks to develop intelligent adaptive systems and computational models of human behavior from diverse data streams to understandhealth and wellbeing of individuals and communities. By harnessing the capabilities and data of everyday mobile technology, HAI aims to intelligently explore the patterns and behavior inherent to unique individuals. From this knowledge, we can make predictions about potential health outcomes and suggest individualized improvements to promote a healthier, happier community. HAI additionally uses mobile technology to create intelligent applications for social good. We want to optimize opportunities for positive interactions between community members.
This group’s research aims to address some of society’s most challenging water resources problems by understanding, analyzing, and managing water systems as cyber-physical systems. Current research focuses on designing and building next-generation flood warning systems, real-time adaptive control of smart stormwater systems, and river basin-scale water quality modeling and monitoring. We are part of the interdisciplinary Link Lab, a center of excellence in cyber-physical systems housed within the Engineering School at the University of Virginia.
Director: Jonathan Goodall, Associate Professor of Civil and Environmental Engineering
The research within the Infrastructure Simulation, Sensing and Evaluation Lab (I-S2EE) group is interdisciplinary in nature and crosses the boundaries of civil engineering and systems engineering, but has maintained a focus on characterizing the performance and condition state of the built environment using a variety of techniques. I-S2EE research has explored the domains of transportation infrastructure, smart and connected communities, cyber-physical systems, crowd-sourcing, and smart/high-performance materials.
Our lab is currently involved in the university-wide project on wastewater testing to detect COVID-19 spread in UVA dorms. This is a collaborative project with UVA’s Department of Medicine, and in particular, Dr. Amy J. Mathers, MD.
The Omni-Reality & Cognition Lab (ORCL) joins together a team with expertise in transportation infrastructure design, traveler behavior, intelligent transportation systems, human-centered design, immersive virtual environments, and user interaction with the built environment to tackle improving transportation infrastructure and technology for non-motorized travelers through the use of alternative reality technologies (virtual, augmented, etc.).
Our group aims to formulate innovations in design, materials and sensing technologies to advance a new generation of infrastructure systems. Led by Associate Professor Osman Ozbulut, RAIL focuses on applying smart technologies and interdisciplinary expertise to the development of resilient and sustainable civil infrastructure systems.
Our research can be applied to various complex domains–e.g. healthcare, aviation, military operations, and automotive industry–which are becoming increasingly complex with the advent and adoption of new technologies. It is critical to consider cognitive ergonomics and systems engineering to support the design of interfaces that can present the "right information to the user at the right time.
The Sensing Systems for Health Lab fuses computational methods with technology such as smartphones and wearables to design intelligent systems for understanding the dynamics and personalization of health and well-being.