(Texas A&M University) Imagine that the process of distributing electricity to homes from the power grid is like travelers boarding a train. There are multiple steps to take before they can reach their final destination.
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(University of New Mexico) A University of New Mexico research team conducted a data analysis that has found that as a larger portion of the population gets vaccinated against COVID-19, it becomes economically advantageous to start relaxing social distancing measures and open businesses.
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(NYU Tandon School of Engineering) The National Science Foundation (NSF) selected NYU Tandon School of Engineering professor Anna Chroromanska to receive its most prestigious award for promising young academics. The award will support her work on deep learning systems.
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(Lehigh University) Nelson Tansu has been named as a Fellow of the Institute of Electrical and Electronics Engineers for contributions to semiconductor photonics technologies. Tansu, Lehigh's University's Daniel E. '39 and Patricia M. Smith Endowed Chair Professor, is a leading researcher and inventor in the field of semiconductor optoelectronic materials and devices. He conducts research on materials, devices, computational sciences, machine learning, and integrated technologies based on semiconductors for sustainability, biomedical sciences, power electronics, and quantum materials.
(Texas A&M University) In the September issue of the journal Nature, scientists from Texas A&M University, Hewlett Packard Labs and Stanford University have described a new nanodevice that acts almost identically to a brain cell. Furthermore, they have shown that these synthetic brain cells can be joined together to form intricate networks that can then solve problems in a brain-like manner.
(George Mason University) Bernd-Peter Paris, Associate Professor, Department of Electrical and Computer Engineering, is developing a novel radio receiver architecture capable of operating across a large portion of the wireless spectrum while simultaneously being capable of adaptively suppressing interferences as they arise. This is a collaborative effort with researchers at Cornell University.
(University of Arizona College of Engineering) Quntao Zhuang, an assistant professor of electrical and computer engineering and optical sciences at the University of Arizona, received a 2020 Young Faculty Award from the U.S. Defense Advanced Research Projects Agency, or DARPA. The award recognizes rising stars in junior research positions whose work can benefit the Department of Defense and issues of national security.
(Texas A&M University) In a new study, researchers from Texas A&M University and industry have designed a smart technology that can help utility companies better serve communities affected by blackouts. The researchers said their single device works by improving energy delivery between home solar-power systems and the electrical grid.
(National Research Council of Science & Technology) A Korean research team has developed a technology that enables the effective control of fine particulate matter and nanoplastics, which are major causes of human toxicity and ecosystem disturbances. This technology, which allows for real-time sorting, purification, and concentration of nanoparticles invisible to the human eye, has great potential application, not only for the removal of toxic particles from the natural environment, but also for removing viruses and detecting dementia-related proteins and cancer diagnostic markers.
The idea of using Wi-Fi signals to identify a person through a wall sounds like something out of a James Bond or Mission: Impossible movie.The work was conducted by a lab belonging to UC Santa Barbara professor Yasamin Mostofi.It demonstrates how a pair of Wi-Fi transceivers can be effectively used to reveal whether a person hidden behind a wall is the same individual who appears in a piece of video footage.“Our key enabling idea is to translate the video content to the wireless domain and properly extract key gait features from both the real Wi-Fi signal and the translated video-to-Wi-Fi-one to establish if they belong to the same person,” Mostofi, a professor in the Department of Electrical and Computer Engineering, told Digital Trends.“Our proposed pipeline consists of a 3D mesh recovery algorithm that extracts the human mesh from the video.[This is] followed by an electromagnetic wave generation step that uses the extracted mesh to simulate the RF signal that would have been measured if the person in the video was walking in the Wi-Fi area.
When Hurricane Michael tore through the Florida Panhandle in 2018, it wiped out 90% of the city of Tallahassee's electric power, causing loss of interconnection with a neighboring utility, and affecting 1.2 million people in the southeastern United States.In light of the human toll of hurricanes, a cross-disciplinary Colorado State University team is working to minimize those losses.With $194,000 in National Science Foundation support through the agency's Rapid Response Program (RAPID), they are designing a self-reliant, local, resilient electric system that can better withstand the next Category 5 hurricane."Over one year, we intend to achieve a framework for targeted design of microgrids for the city of Tallahassee," said Suryanarayanan, who has studied microgrid engineering for over a decade.The team will partner with city of Tallahassee officials for access to the city's emergency preparedness plans and existing utilities and infrastructure.An improvement plan, to be delivered at the project's conclusion, is expected to lay groundwork for a generalized approach that's extendable to other communities.
The portable device, which uses artificial intelligence and biosensors, is up to 95.9 percent accurate in counting live cancer cells when they pass through electrodes, according to a study in the journal Microsystems & Nanoengineering."We built a portable platform that can predict whether patients will respond positively to targeted cancer therapy," said senior author Mehdi Javanmard, an assistant professor in the Department of Electrical and Computer Engineering in the School of Engineering at Rutgers University-New Brunswick."Our technology combines artificial intelligence and sophisticated biosensors that handle tiny amounts of fluids to see if cancer cells are sensitive or resistant to chemotherapy drugs."The device provides immediate results and will allow for more personalized interventions for patients as well as better management and detection of the disease.It can rapidly analyze cells without having to stain them, allowing for further molecular analysis and instantaneous results.Current devices rely on staining, limiting the characterization of cells.
President Trump has named two George Washington University professors winners of the Presidential Early Career Award for Scientists and Engineers (PECASE): Chunlei Liang, associate professor in the Department of Mechanical and Aerospace Engineering, and Volker J. Sorger, associate professor in the Department of Electrical and Computer Engineering."It's overwhelming and a true honor, and it underlines the STEM momentum of GW," Dr. Sorger said.According to the White House, the PECASE is "the highest honor bestowed by the U.S. government to outstanding scientists and engineers who are beginning their independent research careers and who show exceptional promise for leadership in science and technology."Federal agencies can nominate potential winners, who eventually are selected by the president and the White House Office of Science and Technology Policy.Dr. Liang's research on the fluid dynamics shaping the top third of the sun's radius is an important part of developing software that predicts "space weather": solar winds, flares and other astronomical phenomena.In a few decades, Dr. Liang said, such models might be as dependable as current models for predicting weather on Earth--useful because unpredictable space weather can interfere with the operation of spacecraft and satellites.
A ground-breaking study conducted by researchers from the National University of Singapore (NUS) has revealed a method of using quantum mechanical wave theories to 'lock' heat into a fixed position.Ordinarily, a source of heat diffuses through a conductive material until it dissipates, but Associate Professor Cheng-Wei Qiu from the Department of Electrical and Computer Engineering at the NUS Faculty of Engineering and his team used the principle of 'anti-parity-time (APT) symmetry' to show that it is possible to confine the heat to a small region of a metal ring without it spreading over time.In the future, this newly demonstrated phenomenon could be used to control heat diffusion in sophisticated ways and optimise efficacy in systems that need cooling.The results of the study were published on 12 April 2019 in the prestigious scientific journal Science.The experimental setup of this study is two oppositely rotating metal rings, sandwiched together with a thin layer of grease.When heat is injected at a point in the system, the thermal energy is able to stay in position because one rotating ring is 'coupled' to the counter-rotating ring by the principles of APT symmetry.
Being able to accurately measure semiconductor properties of materials in small volumes helps engineers determine the range of applications for which these materials may be suitable in the future, particularly as the size of electronic and optical devices continues to shrink.Daniel Wasserman, an associate professor in the Department of Electrical and Computer Engineering in the Cockrell School of Engineering, led the team that built the physical system, developed the measurement technique capable of achieving this level of sensitivity and successfully demonstrated its improved performance.The team's design approach was focused on developing the capability to provide quantitative feedback on material quality, with particular applications for the development and manufacturing of optoelectronic devices.Optoelectronic devices that detect light, known as photodetectors, use materials that generate electrical signals from light.Photodetectors are found in smartphone cameras, solar cells and in the fiber optic communication systems that make up our broadband networks.In an optoelectronic material, the amount of time that the electrons remain "photoexcited," or capable of producing an electrical signal, is a reliable indicator of the potential quality of that material for photodetection applications.
An international team of researchers has built a new sensor network that can monitor two crucial activities, namely biodiversity, or the variety of life, in a particular habitat or ecosystem, and identification of possible illegal activities such as logging or poaching in protected areas.This wireless recording network is capable of recording an ecosystem's sounds with the same quality as devices that have been used to date, but it is significantly more energy-efficient and cost-effective.It promises to significantly streamline the monitoring process of biodiversity and addresses the urgent global need for new assessment methods necessary to maintain the world's biodiversity balance."In this paper, we propose a low cost solution for an audio recorder with onboard audio processing, as part of a wireless sensor network.The developed audio recorder can be used in several different use cases for which no cost effective, scalable biodiversity monitoring solution currently exists, such as to monitor pollinating insects, or to assess the condition of tropical forests by observing vocal animals," says Victor C. M. Leung, Ph.D., corresponding author and Professor at the Department of Electrical and Computer Engineering, University of British Columbia."Our tests demonstrate that a collection of acoustic sounds recorded in 1 minute can arrive at the server only 30 seconds after the recording has finished, affording near real-time performance which could be of great value in tracking endangered species, or identifying illegal activity such as logging or poaching in protected areas," Professor Leung adds.
BOZEMAN -- Some electrical engineers design the giant dynamos and transmission lines that power society.Others apply their prowess to electronics in cars and televisions, or -- still smaller -- the microprocessors in phones and watches.Montana State University's Anja Kunze, assistant professor in the Department of Electrical and Computer Engineering, studies the tiny electrochemical signals that occur between individual brain cells to produce thought and awareness.Her research, which involves using precisely applied magnetic forces to gently massage brain cells in the lab, could one day lead to effective treatments for Alzheimer's disease and other degenerative brain conditions.By then applying precise magnetic forces, Kunze's team can stretch the tentacled cells much the way they would grow in a healthy brain.The magnetic stretching further mimics natural brain activity by opening tiny gates in the cell wall.
- In the age of "big data" in the health-care industry, massive amounts of digital information are produced, stored, shared, analyzed, processed and transferred around the world from clinics, hospitals, universities, government agencies, pharmaceutical laboratories and insurance companies every second.To help protect this wealth of medical information from cyberattacks, the National Science Foundation (NSF) has awarded a three-year grant totaling nearly $1 million to a team of researchers led by Prof. Yan Luo of UMass Lowell's Department of Electrical and Computer Engineering to develop a secure cyberinfrastructure for translational research.Translational research, also known as translational medicine or translational science, refers to the effort of translating or harnessing knowledge from basic biomedical research in the lab into potentially new drugs, therapies, medical devices, diagnostic screening or treatment for patients and bringing these innovations to market."This will enable new, efficient collaboration among patients, medical researchers and practitioners, potentially benefiting global digital health care and personalized medicine," Luo said.Luo's fellow researchers on the project are Associate Prof. Yu Cao of UMass Lowell's Computer Science Department, along with colleagues Assistant Prof. Peilong Li of Elizabethtown College and Prof. Silvia Corvera and Jomol Mathew, Ph.D., of UMass Medical School.The NSF envisions "cyberinfrastructure" as a collaborative research environment in which computing systems, data storage systems, visualization tools, advanced instruments and scientists are all linked by high-speed networks to provide powerful capabilities for driving innovation and discoveries not otherwise possible within a single institution.
BOZEMAN -- When a hail storm unleashes on Montana's plains, a precise warning an hour or more in advance could allow ranchers to lead livestock to shelter, gardeners to bring in potted plants and residents to protect vehicles and other valuables.Once only a dream of weather forecasters, that capability could become widespread as a result of a new technology developed by Montana State University researchers and their collaborators at the National Center for Atmospheric Research.The tool, which uses low-cost lasers to make detailed, real-time measurements of water vapor in the atmosphere, could soon be deployed at weather stations across the country, providing forecasters a powerful way to track the early development of thunderstorms and other weather events.About 15 years ago, Repasky began working on ways to overcome the main barrier to widespread monitoring of water vapor: cost.Scientists were using specialized laser technologies to take detailed measurements from airplanes, for instance, but the tools were prohibitively expensive for daily use.To aid in daily forecasting, scientists gather a limited snapshot of the atmosphere's water vapor by launching weather balloons twice each day from roughly 90 locations nationwide.
How good is the research on the success or failure of the system that verifies your identity when you log into a computer, smartphone or other device?Chances are it's not good, and that's a major security and privacy issue that should be fixed, according to a Rutgers University-New Brunswick study that proposes a novel solution."Our paper represents a major advance toward understanding authentication systems," said Janne Lindqvist, senior author and assistant professor in the Department of Electrical and Computer Engineering."Surprisingly, we found that commonly used metrics in research for reporting the performance of user login systems are flawed.This means the systems may not work well, and that can have serious, real-life consequences for proposed systems that are adopted based on misleading metrics."One of the most popular ways to log in involves typing user names and text-based passwords.
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