Characterizing Ultra High Performance Concrete
Creating nondestructive evaluation techniques for testing fibrous concrete material
Funded by the Florida Department of Transportation.
Spread Spectrum Solar Panel Diagnostics
Employing electrical spread-sprectrum reflectometry to quickly and easily identify faults in large solar arrays.
Funded by the Department of Energy.
Machine Learning and Ultrasonic Models
Merging digital twins with signal processing to improve data analysis capabilities in structural acoustics.
Funded by the Air Force Office of Scientific Research.
Elucidating Grain Growth in Ceramic Materials
Utilizing deep learning to model and understand material grain growth
Funded by the Department of Energy Basic Energy Sciences.About the SmartData Lab
Data permeates every part of society. As a result, there have been many advances on how to effectively process this data. These advances make use of concepts from many disciplines, including linear algebra, representation theory, network theory, and machine learning. These methods provide technical disciplines with many benefits: quicker data processing, more effective information extraction, and better data fusion from multiple sources. These new ideas also form the framework for solving some the greatest technical grand challenges of today.
The SmartData Lab uses these advances for creating new diagnostics systems, new data-driven acoustics models, and new time-series analysis algorithms. The new diagnostics systems process acoustic data to monitor the integrity of aircrafts, train rails, industrial systems, and other structures. The new data-driven acoustic models improve these processing by integrating digital twins model with our data analysis algorithms. The new time-series algorithms remove distortions from the data to draw statistically significant conclusions from it.
Meet the Lab!
Below are the current members of the UF SmartData Lab.
See Full List of Current and Former Members
Joel B. Harley
Lab Director
Research
Diagnostics, acoustics, and time-series analysis
Resources
ORCID Google ScholarResearchGate
Daniel Alabi
PhD Researcher
Research
Nondestructive characterization of ultra high performance concrete
Kang Yang
PhD Researcher
Research
Big data machine learning with structural health monitoring
Ishan Khurjekar
PhD Researcher
Research
Deep neural networks for robust, Bayesian localization
Resources
Google Scholar
Harsha Tetali
PhD Researcher
Research
The intersection of machine learning and wave physics
Resources
Google Scholar
Ayobami Edun
PhD Researcher
Research
Advanced data science for solar diagnositcs
Resources
Google Scholar
Joseph Melville
PhD Researcher
Research
Elucidating grain growth through machine learning
Resources
Google Scholar
Cody LaFlamme
PhD Researcher
Research
Big data machine learning for solar panel diagnostics
Erica Lindbeck
PhD Researcher
Research
Spatio-temporally sparse diagnostics
Kaiyang Han
MS Researcher
Research
Machine learning for characterization of ultra high performance concrete
Pengyu Zhang
MS Researcher
Research
Matrix decomposition diagnostics of solar panels
Tonqing Yu
MS Researcher
Research
Machine learning driven structural health monitoring
Haotian Yue
MS Researcher
Research
Machine learning driven structural health monitoring
Pratiksha Sharma
MS Researcher
Research
Neural network guided wave localization
Ori Leibovici
BS Researcher
Research
Machine learning characterization a ultrasonic temperature variations
Jake Freedman
BS Researcher
Research
Ultrasonic characterization of ultra
Featured Publications
Below are some of our recent and popular publications.
See Full Publication ListSparse Recovery of the Multimodal and Dispersive Characteristics of Lamb Waves
Journal of the Acoustical Society of America
Official Link
Scale transform signal processing for optimal ultrasonic temperature compensation
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Official Link
Data-driven matched field processing for Lamb wave structural health monitoring
Journal of the Acoustical Society of America
Official Link
Robust ultrasonic damage detection under complex environmental conditions using singular value decomposition
Ultrasonics
Official Link
Predictive guided wave models through sparse modal representations
Proceedings of the IEEE
Official Link
Statistical partial wavefield imaging using Lamb wave signals
Structural Health Monitoring
Official Link
Funding
Thank you to all of our sponsers below who have supported our research work and the students committed to it.
