A multidisciplinary research team that includes Alina Zare, Ph.D., a professor in the Department of Electrical and Computer Engineering, and Daisy Zhe Wang, Ph.D., an associate professor in the Department of Computer and Information Science and Engineering, is developing ways to understand the changes taking place in forests and protect the ecosystem benefits trees offer.
Damon Woodard, Ph.D., an associate professor in the Department of Electrical and Computer Engineering (ECE), is using AI methods to develop algorithms that can detect deepfakes, while Sanjeev Koppal, Ph.D., an assistant professor in ECE, is building cameras that are intelligent about capturing data in order to preserve people’s privacy.
Juan Claudio Nino, Ph.D., a professor of Materials Science and Engineering, is collaborating with psychiatry and neuroscience assistant professor Marcelo Febo on a means of using AI to detect the early onset of Alzheimer’s disease.
A multi-departmental team of researchers from the University of Florida have been awarded a $1.1M grant from the NIH on AI-powered medical research on Parkinson’s disease.
A group of Ph.D. students led by Eric Jing Du, a professor in the Department of Civil Engineering at the University of Florida, have trained and developed robotic dogs.
My T. Thai, Ph.D., professor in the Department of Computer & Information Science & Engineering and associate director of the Warren B. Nelms Institute for the Connected World, is developing software technologies that can explain how bias can creep into artificial intelligence (AI) algorithms.
Dr. Walden “Wally” Rhines, son of the founding chair of the UF Department of Materials Science & Engineering (MSE) Dr. Frederick N. Rhines, is providing an endowment for a professorship in fully homomorphic encryption (FHE), a field in which Cornami, Inc., the AI company of which he is President and CEO, holds a leading edge position.
Three leading researchers at the Warren B. Nelms institute for the Connected World are using artificial intelligence (AI) to make the Internet of Things (IoT) more secure and more efficient. They have invited us into their laboratories to take a peek at the leading edge of AI applications.
Through the IoT4Ag Engineering Research Center, faculty from the Herbert Wertheim College of Engineering will play a pivotal role in providing data communications via IoT and application of AI to problems facing the agricultural sector.
UF will house the fastest AI supercomputer in higher education.