Grants and Contracts:

Sponsors:



  

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PI, NDE and SHM for Lightweight EV, U.S. Army, 2026-2028


PI, Simulation Tools for SGT, Electric Power Research Institute, 2025-2027


PI, Advanced Electromagnetic Array for In-situ AM Process Monitoring, Department of Energy, 2025-2028


Co-PI, LEAP-HI: Towards Safe and Efficient Gas Transport Pipeline Network with Learningenabled Autonomous Risk Assessment Systems (LARAS), National Science Foundation, 2025-2029

PI, Advanced in-situ processes monitoring diagnostics and ex-situ material characterization for laser-based metal AM processes, Department of Energy, 2022-2025.


PI, Integrated multi-wave hybrid electromagnetic and ultrasonic sensing for real-time in-motion rails fatigue and fractures detection, Association of American Rairoads, MxV Rail, 2019-2025.


Completed: ~$18M
PI (institutional), Knowledge guided Automation for Integrity Management of Aging Pipelines for Hydrogen Transport, Department of Transportation, 2021-2024.

PI, AI-enabled real-time fiber optic sensing and actuation SHM system using deep learning and information fusion, Office of Naval Research, 2020-2023.

PI, Holistic electromagnetic and ultrasonic NDE techniques for plastic pipeline aging and degradation characterization,  Department of Transportation, 2020-2023.

PI, AI-enabled ILI robot with integrated structured light NDE for distribution pipelines, Department of Transportation, 2020-2023.

PI (institutional), Multi-modal NDE Assisted Probabilistic Pipeline Performance Evaluation Under Interactive Anomalies, U.S. Department of Transportation, 2019-2022.


PI (institutional), NDE sensor systems for detection and characterizatoin of coincident damage, U.S. Department of Transportation, 2018-2022.

co-PI, Evaluation of multi-modal technologies for NDE of CFRP parts, Department of Energy, IACMI and ACC, 2018-2022.

• PI, A novel electromagnetic sensor system for cross-bores detection and characterization, Gas Technology Institute, 2020-2021.
• PI, Electromagnetic NDE methods for early stage fatigue, EPRI, 2019-2020.
• PI, Roadmap to develop an endoscopic pipeline inspection system using structured light sensors, Gas Technology Institute, 2019-2020.
• co-PI, Ultrasonic Attenuation Backscatter and Absorption for Microstructure Characterization, EPRI, 2019-2020.
• PI, MSU: Enabled robots for automated NDE and repair of power plant boilers, U.S. Department of Energy, 2018-2021.
• PI, A novel structured light based sensing and probabilistic diagnostic technique for pipe internal corrosion detection and localization, U.S. Department of Transportation, 2018-2020.
• PI, Multi-modal NDE sensor systems for coincident damage for pipeline assessment, U.S. Department of Transportatoin, 2018-2021.
• co-PI, Manufacturing USA: Microwave NDE with metamaterial lens for high resolution imaging of composite, National Science Foundation, 2018-2021.
• co-PI, Corrosion detection under coating, U.S. Department of Defense, NCMS, Army TARDEC, 2018-2021
• PI, Development of NDE systems for defects detection in Carbon Fiber Sheet Molding, Magna, 2018-2020.
• PI, Defects detection and characterizaiton at CFRP-steel interface, Con Edison, 2018-2019
• PI, Development of NDE Sensor Technologies Course at MSU, ASNT, 2017-2019
• PI, Development of novel NDE methods for plastic butt-fusion specimens, Gas Technology Institute SMP Research Program, 2018-2020.
• PI, Bayesian network inference and information fusion for accurate pipe strength and toughness estimation, U.S. Department of Transportation, CAAP Research Program, 2015-2018
• PI, Embedded Passive RF Tags towards Intrinsically Locatable Buried Plastic Materials U.S. Department of Transportation, CAAP Research Program, 2015-2018
• PI, Slow Crack Growth Evaluation of Vintage Polyethylene Pipes using endoscopic and multi-spectral imaging, U.S. Pipeline and Hazardous Materials Safety Administration, Core Research Program (Sub-award from Gas Technology Institute with total project amount $995,000), 2015-2017
• PI, Laryngeal Image Analysis and Quantification, National Jewish Health, 2014-2015
• co-PI, ADVICE: Advanced Diagnostics for VLF Ionospheric Channel Estimation, Department of Defense, DARPA (Sub-award from University of Florida with $1,292,739 to PI: M. Golkowski), 2015-2016
• PI, Advanced Sensing and Data Analysis for Wearable Devices, McJ25, LLC, 2015-2016
• co-I, Advanced image analysis and data processing for ion mobility mass spectrometry, National Institutes of Health, R01 ES022172-02, 2014-2016
• PI, Optimized Diagnosis and Prognosis for Impingement Failure of PA and PE Piping Materials, U.S. Department of Transportation, 2014-2016
• PI, Battery Life Cycle Management Optimization through Building in Performance and Innovative Sensor-driven Prognostics,CU Faculty Development Grant, 2014-2015
• PI, Proactive inline pipeline defects diagnosis and prognosis, U.S. Department of Transportation, 2013-2015
• PI, Near-field microwave imaging for composites assessment, CU-Denver Pilot Mentor Program Grant, 2012-2013
• co-PI, Lased based MOI techniques for surface and subsurface cracks detection, National Science Foundation of China, 2011-2014
• PI, NDE Development in Colorado, American Society for Nondestructive Testing, 2010-2011
• PI, Hybrid microwave imaging sensor, CU Faculty Development Grant, 2009-2010

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