Dr. Hamed Dalir’s CHIP Lab at the University of Florida published a new paper in Nature Communications Physics showcasing their groundbreaking research on integrating machine learning within optical networks.
Yangbin Wang Rising Star Assistant Professor 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.”
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.
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.
Dr. Sanjeev J. Koppal has received $1M in funding from the Office of Naval Research (ONR) in support of his project “Rapid High-Resolution Target Aerial Detection and Tracking through Deep Foveated Imaging.”
ECE Assistant Professor Jie Fu is part of a research project sponsored by the Army Research Laboratory under Cooperative Agreement W911NF-22-2-0233 between Raytheon BBN and ARL with support from the University of Florida. The broader project will develop novel research results focusing on robots’ formation tracking and waypoint design at both individual and team levels.
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… Read More
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.
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.
ECE Assistant Professor Shreya Saxena has received funding from the National Institutes of Health (NIH) in support of her project, “Elucidating Principles of Sensorimotor Control using Deep Learning.” The research objective of this $1M BRAIN Initiative proposal is to develop biologically-inspired goal- and data- driven artificial intelligence methods to elucidate the neurodynamical basis of sensorimotor control.