Tag: AiatUF

ECE Associate Professor Navid Asadi recently received $2.6M of funding from the NSF for “Track 2 Acquisition of a Novel Performance-Driven 3D Imaging System for Extremely Noisy Objects (NPIX).” NPIX system will be able to capture images of objects with complex geometries while doing so with minimal noise.

Researchers in UF’s Department of Electrical and Computer Engineering, along with collaborators from UF/IFAS, are developing AI systems for the purpose of more accurately measuring ecosystem services and how they are impacted by various land management practices.

ECE Assistant Professor Jie Fu has received a $550K NSF CAREER Award in support of her project Formal “Synthesis of Provably Correct Cyber-Physical Defense with Asymmetric Information.”

ECE Florida is excited to welcome the newest member of our faculty, Dr. Baoyun Ge. He officially starts as an assistant professor on May 15.

Olaoluwa Adigun is a Ph.D. candidate in the Signal and Image Processing Institute, ECE Department at USC (LA). He presents “Bidirectional Backpropagation and High Capacity Network” Thursday, March 31 at 1:00pm Via Zoom.

As part of the Walter G. Fredrickson Distinguished Interdisciplinary Lecture Series, ECE alumna and IBM Master Inventor (200+ global patents issued) Susann Keohane presents “Living to Be 100: Emerging Technologies for Healthy Aging.”

ECE Assistant Professor Joel Harley is embarking on a unique collaboration with MAE to better understand how a high entropy alloy (HEA) works on an atomic level.

An article recently published in the Academic Times profiled exciting new technology patented by researchers at the Florida Institute for Cybersecurity (FICS) Research which promises a new way to detect recycled and counterfeit electronic parts. The technology created by ECE Associate Professor Domenic Forte and ECE Associate Professor Nima Maghari makes supply chains more secure, protects consumer safety and runs at almost zero cost.

A team of researchers from ECE Florida and IFAS has received a $1.2M grant from the United States Department of Agriculture (USDA) that combines machine learning, hyperspectral cameras, and minirhizotron tubes to nondestructively study root systems of plants.

Dr. Alina Zare and the Machine Sensing Lab are part of team working to engineer a more powerful biofuel—using switchgrass, a fast-growing perennial native to the U.S.