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 List

Sparse 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.

Join the SmartData Lab! Positions available.