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A final disbursement of $8.8 million completes the $17.8 million grant awarded by the Department of Defense (DoD) to Virginia Commonwealth University’s (VCU) Convergence Lab Initiative (CLI). The funding allows CLI to continue advancing research in the areas of quantum and photonic devices, microelectronics, artificial intelligence, neuromorphic computing, arts and biomedical science. “The Convergence Lab Initiative represents a unique opportunity to drive innovation at the intersection of advanced technologies, preparing our students to tackle the critical challenges of tomorrow,” said Nibir Dhar, Ph.D., electrical and computer engineering professor and CLI director. “By combining cutting-edge research in electro-optics, infrared, radio frequency and edge computing, we are equipping the next generation of engineers with the skills to shape the future of both defense and commercial industries.” Working with Industry Partnership is at the heart of CLI and what makes the initiative unique. CivilianCyber, Sivananthan Laboratories and the University of Connecticut are among several collaborators focusing on cutting-edge, multidisciplinary research and workforce development. The lightweight, low-power components CLI helps develop are capable of transforming military operations and also have commercial applications. The Convergence Lab Initiative has 25 collaborative projects in this area focused on: Electro-optic and Infrared Technologies: Enhancing thermal imaging for medical diagnostics, search-and-rescue operations and environmental monitoring. This improves military intelligence, surveillance and reconnaissance capabilities. Radio Frequency and Beyond 5G Communication: Developing ultra-fast, low-latency communication systems for autonomous vehicles, smart cities and telemedicine. Accelerating advancements in this area also address electronic warfare challenges and security vulnerabilities. Optical Communication in the Infrared Wavelength: Increasing data transmission rates to create more efficient networks that support cloud computing, data centers, AI research and covert military communications. Edge Technologies: Creating low size, weight and low power-consuming (SWaP) computing solutions for deployment in constrained environments, such as wearables, medical devices, internet of things devices and autonomous systems. These technologies enhance real-time decision-making capabilities for agriculture, healthcare, industrial automation and defense. Benefits for Students College of Engineering students at VCU have an opportunity to engage with cutting-edge research as part of the DoD grant. Specialized workforce development programs, like the Undergraduate CLI Scholars Program, provide hands-on experience in advanced technologies. The STEM training also includes students from a diverse range of educational backgrounds to encourage a cross-disciplinary environment. Students can also receive industry-specific training through CLI’s Skill-Bridge Program, which facilitates direct connections between business needs and academic education. Unlike the DoD program for transitioning military personnel, the CLI Skill-Bridge is open to students from VCU and other local universities, creating direct connections between industry needs and academic training. This two-way relationship between academia and industry is unlike traditional academic research centers. With the College of Engineering’s focus on public-private partnerships, VCU becomes a registered partner with the participating businesses, collaborating to design individualized training programs focused on the CLI’s core research areas. This approach ensures students receive relevant, up-to-date training while companies gain access to a pipeline of skilled talent familiar with the latest industry trends and innovations. “The significance of this grant extends beyond immediate research outcomes. It addresses critical capability gaps for both the DoD and commercial sectors,” says Dhar. “This dual-use approach maximizes DoD investment impacts and accelerates innovation in areas that affect everyday life — from healthcare and environmental monitoring to communication networks and smart infrastructure. Breakthroughs emerging from these collaborations will strengthen national security while creating commercial spinoffs that drive economic growth and improve quality of life for communities both locally and globally. Advances in infrared technology, in particular, will position the VCU College of Engineering as a center for defense technologies and new ideas.”
University of Delaware's physical therapy program ranked #1 graduate school in the U.S.
The University of Delaware's physical therapy program has been ranked #1 in the 2026 edition of Best Graduate Schools, U.S. News and World Report. The program has revolutionized the use of prosthetics, helped students become trainers for Super Bowl champions and boasts unique specialized training. Darcy Reisman, chair of the program, can talk about the following: Research: One study incorporated walking into daily behavior for stroke patients. Our PT researchers have also revolutionized the use of prosthetics to improve the lives of those who have lost limbs. Professional outcomes: Two of our PT grads were on the Philadelphia Eagles’ training staff during their Super Bowl run. Another is working in Major League Soccer with a Tennessee-based team. Specialized training: UDPT has an accredited Manual Fellowship Program that provides post-professional training for physical therapists in the specialized area of Manual Therapy.Research In total, U.S. news ranked 24 UD graduate programs among the best in the nation. Among those, 13 were in the top 50, including chemical engineering at #8.
Executive Order - Energy and Power Perspective
The tariffs imposed by the Executive Order (EO) are expected to significantly impact the energy and infrastructure sectors. New build energy projects in the United States heavily depend on importing components such as inverters, transformers, cabling, solar panels, mounting racks, and batteries from regions such as Southeast Asia, China, and the European Union. These tariffs are likely to affect all energy and infrastructure projects. We are seeing large capital projects across the United States impose caveats within their EPC contracts; allowing for steep and continual price adjustments upward. This is impacting billions of dollars of critical material and contractual obligated componentry. This also includes all materials with high volatility (steel, copper, aluminum). Not only are projects costs on the rise but so are supply chain disruptions, potentially causing delays in project timelines and/or project cancellations. The United States continues to grow in energy demand requirements, provided the vast deployment of data centers. Because of this grid reliability, modernization and new build implementation is critical in the coming decade. The tariffs are likely to have a large impact on these projects as well, given their requirement for componentry from all the regions impacted. As this situation continues to develop, the full implications and responses for the energy and infrastructure industry will become more apparent. Jeremy Erndt is a seasoned power development, engineering, and operations professional, with experience in power generation, infrastructure, and the sector with J.S. Held. He has led utility-scale power, transmission, port, and water projects from early development and conceptual design through NTP and eventual operation. He is an international development expert and supports a variety of programs for capital project development. Jeremy is a subject matter expert in project due diligence, engineering, and constructability for large-scale projects. Jeremy has been involved in various project-related and company mergers and acquisitions, thus providing a comprehensive track record and perspective of financial transactions at all stages. He has nearly two decades of experience in the development, engineering, construction, and operations of energy and infrastructure projects, spanning more than 30 GW within energy projects and over $60B of capital expenditures within infrastructure. Looking to know more or connect with Jeremy Erndt? Simply click on the expert's icon now to arrange an interview today. For any other media inquiries - contact : Kristi L. Stathis, J.S. Held +1 786 833 4864 Kristi.Stathis@JSHeld.com
Weird and complex life emerged on Earth as the planet's magnetic field gave way
The Earth’s magnetic field plays a key role in making the planet habitable. It shields lifeforms from harmful solar and cosmic radiation. It helps limit erosion of the atmosphere and keeps water from escaping into space. But new data show a prolonged near collapse of Earth’s magnetic field that took place some 575-565 million years ago coincided with the blossoming of macroscopic complex animal life. We now face the possibility of a new, unexpected twist in how life might relate to the magnetic field, says John A. Tarduno, the William R. Kenan Professor of Geophysics and the dean of research at the School of Arts and Sciences and the Hajim School of Engineering and Applied Sciences at the University of Rochester. “That twist could reach deep into Earth’s inner core,” says Tarduno, who recently wrote about the findings for Physics Today magazine. Tarduno is frequently cited by news outlets, like CNN, The Washington Post, and Smithsonian magazine, on matters related to the Earth’s inner core, or dynamo, and magnetic field. He can be reached at john.tarduno@rochester.edu.
'Chemtrails' and other climate conspiracies: Florida Tech's expert sets the record straight
When Florida Today columnist Tim Walters wanted to 'clear the air' about a popular conspiracy theory, he connected with Michael Splitt, an assistant professor at Florida Institute of Technology's College of Aeronautics with a focus on meteorology. The "chemtrail" conspiracy follows the erroneous belief that condensation trails (contrails) that trail behind jets are actually being used on a large scale to manage radiation and combat global warming. In the column, Splitt argued against the conspiracy by explaining what might happen if that level of "climate engineering" was actually going on. I recently wrote a column about the “chemtrail” conspiracy theory, and to say it caused quite a stir would be a serious understatement. My motivation for writing the piece came because there is a bill being looked at by the Florida legislature to address concerns of people who think the skies are being seeded by commercial airplanes with poisonous, weather-manipulating substances. Some of those raising concerns claim there are vague amorphous operatives in the federal government leading this charge. I decided I’d try to find answers, and I did so by asking someone credible in the field of weather sciences. Answers from climate expert Can the climate be altered by humans? The idea of trying to manipulate weather is called “climate engineering.” There is a form of this called solar geoengineering. “We've been doing things like this for decades in terms of, for example, fog management products. People have used this kind of methodology of adding things to the air to help get rid of fog, like the ice fog problem in Salt Lake City. So, there are places where people try to manage a local cloud layer,” Splitt said. However, it’s not done to a scale that would impact the country or globe. That’s where conspiracy theorists take climate engineering a step too far. There are those who say commercial airliners are spraying other substances like aluminum and barium (and other metallic) nano particles to reflect the sun's heat to reduce global warming. Splitt said if this were real, it might have the opposite effect. “When you have more contrails, it actually ends up warming the planet. The cirrus clouds created by aircraft and their reflective power isn't as much as let's say, the warming impact from below, from infrared radiation, so they end up being warmer." March 20 - Florida Today In the full column, Splitt also takes on other common misconceptions such as, "Why do some contrails last longer than others?" And, "Are ‘chemtrails’ steering, strengthening storms?" It's a worthwhile read for those interested in meteorology or conspiracy theories. Are you curious or looking to know more about those chasing clouds? Michael Splitt is available to speak with media. Contact Adam Lowenstein, Director of Media Communications at Florida Institute of Technology, at adam@fit.edu to arrange an interview today.
Florida Tech Welcomes Visiting Australian Scholar to Aid in Antifouling Research
Florida Tech’s Center for Corrosion and Biofouling Control is welcoming a new teammate for the semester. Tamar Jamieson, a postdoctoral researcher hailing from Australia’s Flinders University, is in Melbourne, Fla. to collaborate on biofouling research with assistant professor of marine sciences Kelli Hunsucker and professor of oceanography and ocean engineering Geoffrey Swain. Biofouling is the growth of a bacterial film or larger marine life, such as barnacles, after an object’s surface is submerged in water. It can inhibit a ship’s functionality by creating drag and slowing it down, which forces the vessel to use more fuel and emit more greenhouse gases. Over the course of the semester, Jamieson will help Hunsucker’s team develop a collaborative experiment to test antifouling techniques, combining Jamieson’s expertise with that of the lab. “I’m excited to have someone here who has this kind of wealth of knowledge in her field,” Hunsucker said. “She’ll be able to use her knowledge to help move our research forward and then kind of in return, use our knowledge to help move hers forward.” The Center for Corrosion and Biofouling Control aims to understand and improve corrosion and biofouling control systems. Part of Hunsucker’s research involves evaluating materials that can protect surfaces, such as a ship’s hull, from unwanted growth. She is currently working with the U.S. Navy to see how antifouling techniques perform under different conditions. Jamieson’s research through Flinders’s ARC Training Centre for Biofilm Research & Innovation focuses on the small-scale microorganisms that make up biofilm. She also studies the genetic makeup of microbial communities, which Hunsucker wants to add to her own research. Jamieson is especially interested in learning how antifouling materials interact with local waters. Florida’s seascape is warmer than Australia’s, so fouling grows quicker here than it does there. She also wants to see how American antifouling materials vary from those used in Australia and collaborate on a versatile solution that can withstand a variety of conditions. “Materials that work well here will probably not work in other environments,” Jamieson said. “Seeing how to develop materials for all three environments will be an interesting pathway forward.” Hunsucker hopes this exchange will lead to even more collaboration with Flinders University. “The program that she’s involved with opens the door for collaborative efforts for us to maybe go to Australia in the future,” Hunsucker said. “Her colleagues can also similarly come back and work with us.” Jamieson’s scholarship is funded by the American Australian Association, a New York-based non-profit organization dedicated to deepening and strengthening ties between the United States and Australia. The South Australia Defense, Space and Cyber Scholarship funds scholars from the U.S. and South Australia undertaking Ph.D. or post-doctoral research in those fields. Kelli Hunsucker and Geoffrey Swain are available to speak with media. Contact Adam Lowenstein, Director of Media Communications at Florida Institute of Technology at adam@fit.edu to arrange an interview today.
NASA Grant Funds Research Exploring Methods of Training Vision-Based Autonomous Systems
Conducting research at 5:30 a.m. may not be everybody’s first choice. But for Siddhartha Bhattacharyya and Ph.D. students Mohammed Abdul, Hafeez Khan and Parth Ganeriwala, it’s an essential part of the process for their latest endeavor. Bhattacharyya and his students are developing a more efficient framework for creating and evaluating image-based machine learning classification models for autonomous systems, such as those guiding cars and aircraft. That process involves creating new datasets with taxiway and runway images for vision-based autonomous aircraft. Just as humans need textbooks to fuel their learning, some machines are taught using thousands of photographs and images of the environment where their autonomous pupil will eventually operate. To help ensure their trained models can identify the correct course to take in a hyper-specific environment – with indicators such as centerline markings and side stripes on a runway at dawn – Bhattacharyya and his Ph.D. students chose a December morning to rise with the sun, board one of Florida Tech’s Piper Archer aircraft and photograph the views from above. Bhattacharyya, an associate professor of computer science and software engineering, is exploring the boundaries of operation of efficient and effective machine-learning approaches for vision-based classification in autonomous systems. In this case, these machine learning systems are trained on video or image data collected from environments including runways, taxiways or roadways. With this kind of model, it can take more than 100,000 images to help the algorithm learn and adapt to an environment. Today’s technology demands a pronounced human effort to manually label and classify each image. This can be an overwhelming process. To combat that, Bhattacharyya was awarded funding from NASA Langley Research Center to advance existing machine learning/computer vision-based systems, such as his lab’s “Advanced Line Identification and Notation Algorithm” (ALINA), by exploring automated labeling that would enable the model to learn and classify data itself – with humans intervening only as necessary. This measure would ease the overwhelming human demand, he said. ALINA is an annotation framework that Hafeez and Parth developed under Bhattacharyya’s guidance to detect and label data for algorithms, such as taxiway line markings for autonomous aircraft. Bhattacharyya will use NASA’s funding to explore transfer learning-based approaches, led by Parth, and few-shot learning (FSL) approaches, led by Hafeez. The researchers are collecting images via GoPro of runways and taxiways at airports in Melbourne and Grant-Valkaria with help from Florida Tech’s College of Aeronautics. Bhattacharyya’s students will take the data they collect from the airports and train their models to, in theory, drive an aircraft autonomously. They are working to collect diverse images of the runways – those of different angles and weather and lighting conditions – so that the model learns to identify patterns that determine the most accurate course regardless of environment or conditions. That includes the daybreak images captured on that December flight. “We went at sunrise, where there is glare on the camera. Now we need to see if it’s able to identify the lines at night because that’s when there are lights embedded on the taxiways,” Bhattacharyya said. “We want to collect diverse datasets and see what methods work, what methods fail and what else do we need to do to build that reliable software.” Transfer learning is a machine learning technique in which a model trained to do one task can generalize information and reuse it to complete another task. For example, a model trained to drive autonomous cars could transfer its intelligence to drive autonomous aircraft. This transfer helps explore generalization of knowledge. It also improves efficiency by eliminating the need for new models that complete different but related tasks. For example, a car trained to operate autonomously in California could retain generalized knowledge when learning how to drive in Florida, despite different landscapes. “This model already knows lines and lanes, and we are going to train it on certain other types of lines hoping it generalizes and keeps the previous knowledge,” Bhattacharyya explained. “That model could do both tasks, as humans do.” FSL is a technique that teaches a model to generalize information with just a few data samples instead of the massive datasets used in transfer learning. With this type of training, a model should be able to identify an environment based on just four or five images. “That would help us reduce the time and cost of data collection as well as time spent labeling the data that we typically go through for several thousands of datasets,” Bhattacharyya said. Learning when results may or may not be reliable is a key part of this research. Bhattacharyya said identifying degradation in the autonomous system’s performance will help guide the development of online monitors that can catch errors and alert human operators to take corrective action. Ultimately, he hopes that this research can help create a future where we utilize the benefits of machine learning without fear of it failing before notifying the operator, driver or user. “That’s the end goal,” Bhattacharyya said. “It motivates me to learn how the context relates to assumptions associated with these images, that helps in understanding when the autonomous system is not confident in its decision, thus sending an alert to the user. This could apply to a future generation of autonomous systems where we don’t need to fear the unknown – when the system could fail.” Siddhartha (Sid) Bhattacharyya’s primary area of research expertise/interest is in model based engineering, formal methods, machine learning engineering, and explainable AI applied to intelligent autonomous systems, cyber security, human factors, healthcare, explainable AI, and avionics. His research lab ASSIST (Assured Safety, Security, and Intent with Systematic Tactics) focuses on the research in the design of innovative formal methods to assure performance of intelligent systems, machine learning engineering to characterize intelligent systems for safety and model based engineering to analyze system behavior. Siddhartha Bhattacharyya is available to speak with media. Contact Adam Lowenstein, Director of Media Communications at Florida Institute of Technology at adam@fit.edu to arrange an interview today.
Protect yourself: Scammed by a QR Code? It didn’t have to happen
QR codes are used everywhere nowadays – to pay for metered parking, to read menus at restaurants, to win a free cup of coffee. Cybercriminals are using them, too – redirecting users to harmful websites that harvest their data. The practice is known as “quishing,” derived from QR code phishing, and it is a fast-growing cybercrime. But it doesn’t have to be. University of Rochester engineers Gaurav Sharma and Irving Barron have devised a new form of QR code – called a self-authenticating dual-modulated QR (SDMQR) – that protects smartphone users from quishing attacks by signaling when users are being directed to a safe link or a potential scam. Gaurav is a professor of electrical and computer engineering, computer science, and biostatistics and computational biology. Barron is an assistant professor of instruction in electrical computer engineering. Their creation involves allowing companies to register their websites and embed a cryptographic signature in a QR code. When the code is scanned, the user is notified that the code is from an official source and safe. Gaurav and Barron recently wrote about their technology in the journal IEEE Security and Privacy, and spoke about their work on the National Science Foundation's Discovery Files podcast. They can be reached by email at gaurav.sharma@rochester.edu and ibarron@ur.rochester.edu.
University of Delaware researchers have found that measuring brain stiffness is a reliable way to predict brain age. This information could be used to identify structural differences that indicate departure from the normal aging process, potentially identifying and addressing disorders such as Alzheimer’s disease and Parkinson’s disease. In recent findings, Curtis Johnson, associate professor of biomedical engineering, and Austin Brockmeier, assistant professor of electrical and computer engineering, show that measuring both brain stiffness and brain volume produces the most accurate predictions of chronological age. Their findings were published in a recent edition of the journal Biology Methods and Protocols. The pair worked with three current and former UD students to reach their conclusions. “Brain volume is a common measure that we use to study the brain,” Johnson said. “But something has to be happening to cause a brain to shrink. Something is happening at the microscale that causes it to shrink — changes in the tissue that also cause stiffness to change. And that precedes whatever happens when the volume changes.” “The stiffness maps all seem kind of random — until we see a large number of images and the randomness fades away and we start to see common patterns in stiffness,” Johnson said. “We sort of knew there was more [information] in there than what we were extracting." A cutting-edge magnetic resonance imaging (MRI) scanner at UD’s Center for Biomedical and Brain Imaging handled the brain scanning. On the artificial intelligence side, the brain maps were analyzed by three-dimensional “convolutional neural networks,” which — as the name suggests — are convoluted and complicated, incorporating many layers and dimensions. To arrange and interview with Johnson or Brockmeier, send an email to mediarelations@udel.edu
For autonomous machines to flourish, scalability is everything
The past decade has seen remarkable advancements in robotics and AI technologies, ushering in the era of autonomous machines. While the rise of these machines promises to revolutionize our economy, the reality has fallen short of expectations. That’s not for a lack of intensive investments in research in development, says Yuhao Zhu, an associate professor of computer science at the University of Rochester. The reason we’re not seeing more service robots, autonomous drones, and self-driving vehicles, Zhu says, is that autonomation development is currently scaling with the size of engineering teams rather than the amount of relevant data and computational resources. This limitation prevents the autonomy industry from fully leveraging economies of scale, Zhu says, particularly the exponentially decreasing cost of computing power and the explosion of available data. Zhu recently co-authored a report on the quest for economies of scale in autonomation in Communications of the ACM and is part of an international team of computer scientists focused on making autonomous machines more reliable and less costly. He can be reached by email at yzhu@rochester.edu.