Category: Events

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.

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.

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.

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.

“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 development of unprecedented capability in information processing including edge sensing, quantum processors, and machine intelligence. […]

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.

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.

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. 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.