Tag: machine learning

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.

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.

Dr. Yuheng Bu is a postdoctoral research associate with the Institute for Data, Systems, and Society (IDSS) at the Massachusetts Institute of Technology (MIT). He presents “Can Information Theory Characterize Learning Algorithms?” Thursday, March 3 at 1:00pm via Zoom.

Dr. Yaoqing Yang is a postdoctoral researcher at the RISE Lab at UC Berkeley. He presents “Local vs Global Structures in Machine Learning Generalization” Thursday, March 24 at 1:00pm via Zoom.

Dr. Daniel Silver is a professor in and former director of the Jodrey School of Computer Science, Acadia University, Wolfville, Nova Scotia. He presents “Lifelong Machine Learning and Reasoning” Friday, Feb. 25 at 1:00pm via Zoom.

Scott Morrison specializes in Design Verification (DV) of analog and mixed-signal semiconductor chips at Texas Instruments in Dallas. He presents “The Future of Verifying Complex Analog and Mixed-Signal Semiconductor Chips” Thursday, Sept. 16 at 1:00pm via Zoom.

Dr. Michel A. Kinsy is an associate professor in the Department of Electrical and Computer Engineering Texas A&M University (TAMU). He presents “Securing Execution of Neural Network Models on Edge Device” Thursday, Feb. 18 at 1:00pm via Zoom.

Dr. Roarke Horstmeyer is an assistant professor of biomedical engineering, electrical and computer engineering, and physics at Duke University. He presents “Intelligent Biomedical Imaging Devices” Thursday, March 18 at 1:00 via Zoom.

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.

Q&A with Dr. David Arnold and Dr. Alina Zare, working together on the recently created NSF ERC IoT4Ag Center

In a style similar to TED talks, ECE presents two short, 15-minute seminars on Sept. 3. Dr. Greg Stitt and Dr. Joel Harley will both present talks which explore machine learning applications.

Azra Bihorac, M.D. is the R. Glenn Davis Professor of Medicine, Surgery and Anesthesiology in the Division of Nephrology, Hypertension, & Renal Transplantation at the University of Florida. She presents “Augmented Decision Making – How to Implement Machine Learning Prediction into Research and Clinical Care” on Thursday, Jan. 16 at 1:00 pm, in LAR 330.

Dr. Chris Wilson of UF Agronomy and ECE Florida’s Dr. Alina Zare are using hyper-spectral imagery of experimental cow pastures to better understand the ecosystem effects of adding perennial peanut to beef pastures.

Soumyajit Mandal is currently the T. and A. Schroeder Assistant Professor at Case Western Reserve University, and will join the University of Florida as an Associate Professor in January 2020. He presents “AI-Driven Cognitive Radios for Next-Generation Wireless” on Thursday, Nov. 14 at 1:00 pm, LAR 310.

Dr. Sean Meyn is Professor and Robert C. Pittman Eminent Scholar Chair at the Department of Electrical and Computer Engineering at the University of Florida. He presents “An Introduction to the Theory of Reinforcement Learning (and Why It Must Be Zapped!)” Thursday, Nov. 7 at 1:00 pm in LAR 310.