Skip to main content

Ruchkin & Príncipe get visual

October 28, 2025

Ivan 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.

Read more: Ruchkin & Príncipe get visual »

Ruchkin Seeks Greater Confidence (in Cyber-physical Systems)

July 25, 2025

Ivan Ruchkin, Ph.D., is not satisfied with how state-of-the-art cyber-physical systems deal with anomalies. A project recently funded by the National Science Foundation aims to fill in the gaps in current methodologies.

Read more: Ruchkin Seeks Greater Confidence (in Cyber-physical Systems) »

CHIP Lab Secures Funding for Cutting-Edge Photonics Accelerators

January 8, 2025

The CHIP Lab, led by Dr. Hamed Dalir, has received $435,000 in funding from SRC to enhance photonic integrated circuits (PICs) and ferroelectric-tunable transparent conductive materials for high-performance computing applications.

Read more: CHIP Lab Secures Funding for Cutting-Edge Photonics Accelerators »
ECE Assistant Professor Yingying Wu has received a $546k NSF CAREER Award in support of her project, "Transforming Quantum Spintronics with Novel 2D Magnetic Transistors and Diodes." This project will focus on creating new quantum hardware devices like magnetic transistors and diodes that use skyrmions.

Wu Receives NSF CAREER Award to Create New Quantum Devices

December 23, 2024

ECE Assistant Professor Yingying Wu has received a $546k NSF CAREER Award in support of her project, “Transforming Quantum Spintronics with Novel 2D Magnetic Transistors and Diodes.” This project will focus on creating new quantum hardware devices like magnetic transistors and diodes that use skyrmions.

Read more: Wu Receives NSF CAREER Award to Create New Quantum Devices »

Farahmandi Receives NSF CAREER Award for AI-Assisted Security Verification Framework

March 5, 2024

Walden C. Rhines Endowed Assistant Professor for Hardware Security Farimah Farahmandi has received an NSF CAREER award in support of her project “SAIF: Security Assurance through AI and Formal Approaches for System-on-Chips.”

Read more: Farahmandi Receives NSF CAREER Award for AI-Assisted Security Verification Framework »

Strengthening the University of Florida’s national security and defense research program

November 27, 2023

Dr. Damon Woodard and Dr. Domenic Forte are spearheading a groundbreaking $992k initiative—funded by the Office of the President of the University of Florida—with the overarching goal of propelling the University of Florida to the forefront of national security research, policy formulation, and workforce development.

Read more: Strengthening the University of Florida’s national security and defense research program »

Harley Works to Improve Nuclear Fuel Safety

July 31, 2023

ECE Associate Professor and Kent & Linda Fuchs Faculty Fellow Joel Harley is partnering with the U.S. Department of Energy’s Nuclear Energy University Program (NEUP) to find innovative ways of determining the structural integrity of fuel rods used in nuclear power generation plants.

Read more: Harley Works to Improve Nuclear Fuel Safety »

ECE Researchers Power Fire Neural Network

May 24, 2023

As profiled by UF News, the innovative Gainesville-based company Fire Neural Network, or FNN, is using artificial intelligence to reduce the time it takes to identify a devastating wildfire from 24 hours to just 40 seconds. ECE Florida has deep connections to this work—underpinning FNN’s ingenious technology is a deep understanding of lightning, its behavior, […]

Read more: ECE Researchers Power Fire Neural Network »

CNEL Seminar: Caio Kalil Lauand

March 1, 2023

Caio Kalil Lauand is a Ph.D. student at the University of Florida under the supervision of Dr. Sean Meyn. He presents “Clever Exploration for Machine Learning” Wednesday, March 22 at 3:00pm in NEB 409.

Read more: CNEL Seminar: Caio Kalil Lauand »

CNEL Seminar: Xiaolei Guo

March 1, 2023

Xiaolei Guo is a Ph.D. candidate in the Department of Electrical & Computer Engineering. She presents “Interactive Segmentation with Deep Metric Learning” Wednesday, March 8 at 3:00pm in NEB 409.

Read more: CNEL Seminar: Xiaolei Guo »