Category: News

UF researchers mine lightning data to protect cell towers
December 10, 2025University of Florida postdoctoral researcher Ziqin Ding, Ph.D., and his team are working on a project to protect cell towers and other tall objects from lightning strikes. Using a novel combination of antennas, sensors, and algorithms, Ding’s system is able to detect if a particular lightning strike has impacted a given structure or not.
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Leading the quantum leap: Meet the UF experts behind the momentum
December 5, 2025To get a good window into what the University of Florida is doing in the quantum space, spend some time with Laura Kim, Ph.D., and Yingying Wu, Ph.D. Both are award-winning assistant professors in the Department of Electrical & Computer Engineering, and both are gaining attention for their work in quantum research and education.
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UF Engineering teams take top honors at Mission Autonomy Hackathon
November 25, 2025Two University of Florida teams earned top honors and a combined $35,000 in awards at the Mission Autonomy Hackathon, a national competition hosted by Amazon Web Services (AWS) and Vanderbilt University in Nashville.
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Harley joins forces with 3 other universities to accelerate innovation in AI-augmented health systems
November 18, 2025Healthcare systems see significant promise in AI for improving care delivery and controlling costs, yet face significant barriers to safe and effective implementation, including concerns about AI accuracy, patient safety, and integration with health system workflows. Joel Harley, Ph.D., is working to overcome some of these barriers. Harley is set to co-direct the Accessible Healthcare through […]
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UF student hackers enter ‘Plato’s Cave’ for first-place win
November 10, 2025A student team from the Florida Institute of National Security (FINS) took top honors late last month at Gator Hack, the University of Florida’s 2025 AI Days hackathon.
Read more: UF student hackers enter ‘Plato’s Cave’ for first-place win »
Turning up the light: harnessing the potential of silicon carbide in optomechanical devices
October 30, 2025Described in a new study published in Photonics Research and selected for inclusion in Spotlight on Optics, researchers at the University of Florida and Carnegie Mellon University (CMU) have built a chip-sized device that uses forces exerted by photons to “strum” a single-crystal 4H silicon carbide (SiC) microdisk, inducing it to vibrate at frequencies that can be detected with the right techniques and equipment.
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Ruchkin & Príncipe get visual
October 28, 2025Ivan Ruchkin, PhD, and José Príncipe, PhD, are collaborating on an NSF-funded project aiming to create an end-to-end methodology to model, analyze, quantify, detect, and adapt to changes in the visual environment of an autonomous cyber-physical system.
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New Power Electronics Lab Honors ECE Alumnus, Powers Teaching & Research
October 3, 2025Monolithic Power Systems, manufacturer of small, highly energy efficient, easy-to-use industrial power management solutions, formally dedicated a named lab space in Benton Hall on Thursday, Oct. 2. The newly renovated lab space is designed to strengthen the department’s research and teaching capabilities in the area of power electronics, while enhancing opportunities for collaboration.
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Kim and Anderson Secure DARPA Grant to Transform Chip Manufacturing Using Atom-to-Wafer Framework
October 3, 2025Dennis S. Kim, Ph.D., alongside co-PI Travis Anderson, Ph.D., from UF Chemical Engineering, have received a DARPA CRYSTAL grant to replace costly trial-and-error methods in wafer bonding with predictive modeling. The project tackles a critical manufacturing challenge: even advanced platforms like lithium niobate on insulator (LNOI) lack reliable models to predict optimal bonding conditions, limiting the scalable production of next-generation photonic, sensing, and electronic devices.
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New light-based chip boosts power efficiency of AI tasks 100 fold
September 8, 2025A team of engineers has developed a new kind of computer chip that uses light instead of electricity to perform one of the most power-intensive parts of artificial intelligence — image recognition and similar pattern-finding tasks.
Using light dramatically cuts the power needed to perform these tasks, with efficiency 10 or even 100 times that of current chips performing the same calculations. Using this approach could help rein in the enormous demand for electricity that is straining power grids and enable higher performance AI models and systems.
Read more: New light-based chip boosts power efficiency of AI tasks 100 fold »