Tag: machine learning

Dr. Scott T. Acton is the Lawrence R. Quarles Professor and Chair of Electrical & Computer Engineering at the University of Virginia. He presents “Image Analysis, Artificial Intelligence, and Life” Thursday, March 6 at 1:00pm in MALA 5050.

Dr. Shaofeng Zou is an Assistant Professor at the Department of Electrical Engineering at SUNY Buffalo. He presents “Reinforcement Learning for Treatment Recommendations in Healthcare: Challenges, Algorithms and Analyses” Wednesday, Feb. 28 at 1:00pm in LAR 234.

Dr. Mingyue Ji is currently an associate professor in the Department of Electrical and Computer Engineering at the University of Utah. He presents “AI at the Edge: Analysis, Operation, and Implementation” Tuesday, Jan. 30 at 1:00pm in LAR 234.

Dr. Jie Xu is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Miami. He presents “Federated Learning via Indirect Communications” Tuesday, Jan. 9 at 1:00pm in LAR 234.

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.

Fan Lu is a Ph.D. student in the Department of Electrical & Computer Engineering at the University of Florida. He presents “Convex Analytic Theory for Convex Q-Learning” Wednesday, Feb. 22 at 3:00pm in NEB 409.

Dr. José C. Príncipe is a Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Florida. He presents “Uncertainty Quantification for Trained Machine Learning Models” Wednesday, Feb. 15 at 3:00pm in NEB 409.

Dr. Lili Du is an associate professor in the Civil and Coastal Engineering Department, University of Florida. She presents “Machine Learning and Artificial Intelligence Aided Traffic Prediction, Control, and Management” Thursday, March 2 at 1:00 in LAR 234.

Dr. Fahad Sohrab is a postdoctoral research fellow at the SAMI research group in the Department of Computing Sciences at Tampere University, Finland. He presents “Subspace learning for one-class classification” Wednesday, Nov. 2 at 3:30pm in Larsen Hall 234.