Keynotes/Lectures
Rosen Plaza Hotel, Orlando, FL | February 10-13, 2025
Dr. Aydogan Ozcan:
Diffractive Optical Processors for Monitoring Structural Health
DATE/TIME:
Monday, February 10, 2025 | 11:10 a.m.
ABSTRACT:
I will discuss the integration of programmable diffraction with digital neural networks. Diffractive optical networks are designed by deep learning to all-optically implement various complex functions as the input light diffracts through spatially engineered surfaces. These diffractive processors integrated with digital neural networks have various applications, e.g., image analysis, feature detection, object classification, computational imaging and seeing through diffusers, also enabling task-specific camera designs and new optical components for spatial, spectral and temporal beam shaping and spatially-controlled wavelength division multiplexing. These deep learning-designed diffractive systems can broadly impact (1) optical statistical inference engines, (2) computational camera designs and (3) inverse design of optical systems that are task-specific. In this talk, I will give examples of each group, enabling transformative capabilities for various applications of interest including structural health monitoring.
Dr. Aydogan Ozcan is the Chancellor’s Professor and the Volgenau Chair for Engineering Innovation at UCLA and an HHMI Professor with the Howard Hughes Medical Institute. He is also the Associate Director of the California NanoSystems Institute. Dr. Ozcan is elected Fellow of the National Academy of Inventors (NAI) and holds >85 issued/granted patents in microscopy, holography, computational imaging, sensing, mobile diagnostics...
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Dr. Michael A. Sutton:
StereoDIC Fundamentals and Relevance in Modal/ Dynamics Studies
DATE/TIME:
Tuesday, February 11, 2025 | 11:40 a.m.
ABSTRACT:
The digital image correlation method was developed in the early 1980s to provide a relatively simple and easy-to-use measurement method capable of accurate, full-field measurements, allowing industrial, academic, and government researchers to obtain results in a timely manner for applications that were previously intractable or extremely time-consuming to complete. Since those early days, digital image correlation-based systems have been used in a remarkably broad range of applications, spanning biomechanics, microelectronics, blast loading of structures, concrete beams, masonry walls, and space structures, to name a few. Though full-field data can be obtained in each of these applications, questions continue to arise regarding noise, resolution (spatial and temporal), and accuracy for both static and dynamic applications.
In this presentation, resolution, noise and accuracy are defined and basic questions regarding their use in assessing the quality of DIC measurements are discussed. To provide StereoDIC data for further discussion of the issues, experimental results are presented for examples including both dynamic and modal analysis applications. In particular, estimates for measurement accuracy, resolution and noise levels in the modal examples clearly demonstrate that DIC measurements can be obtained with displacement accuracy on the order of a few nanometers, a level that is particularly important when using measurements to quantify operational modes.
Michael A. Sutton received his Ph.D. in 1981 from the Department of Theoretical and Applied Mechanics at the University of Illinois under the direction of Prof. Charles E. Taylor (NAE, 1979). In 1982, Dr. Sutton joined the faculty in the Department of Mechanical Engineering at the University of South Carolina and was awarded a Carolina Distinguished Professorship in 1992. He is currently a Research Professor and Director...
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