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.
CNEL Seminar: Caio Kalil Lauand
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CNEL Seminar: Xiaolei Guo
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.
Seminar: Arthur C. Paolella
Dr. Arthur Paolella is currently a Technical Fellow at L3Harris Technologies. He presents “Directions in 3-D Printed RF Systems for Space Applications” Thursday, March 9 at 1:00pm in LAR 234.
CNEL Seminar: Firas Laakom
Firas Laakom is a doctoral student at Tampere University, Finland. He presents “Feature Diversity Regularization for Neural Networks” Wednesday, March 1 at 3:00pm in NEB 409.
Seminar: Fan Lu
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.
Seminar: Hamed Dalir
“Next Generation Optoelectronics for Sensing, Healthcare, Quantum IT, and AI” Friday, Feb. 17 at 1:00pm LAR 234 Abstract The recent breakthroughs in photonics research, particularly in the development of next generation semiconductor optoelectronic devices enables the potential to revolutionize the… Read More
Seminar: Carlos Torres
Dr. Carlos Torres is a researcher/electronics Engineer at the Naval Information Warfare Center Pacific (NIWC Pacific) in San Diego, CA. He presents “2D Materials-Based Advanced Photonic Technologies” Thursday, Feb. 23 at 1:00pm in LAR 234.
Seminar: Gang Qiu
Dr. Gang Qiu is a postdoctoral researcher at the University of California, Los Angeles. He presents “One-dimensional Electronic Systems for Classical and Quantum device Applications” Tuesday, Feb. 21 at 1:00pm in LAR 234.
Seminar: José Príncipe
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.
Seminar: Yingying Wu
Dr. Yingying Wu is a postdoctoral associate and a postdoctoral fellow in CIQM at Massachusetts Institute of Technology. She presents “Towards Ultralow-Power and Scalable 2D Spintronics Using Quantum Devices” Thursday, Feb. 16 at 1:00pm in LAR 234.