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Current Externally Sponsored Research Projects
PI: Nvidia: Advanced Camera Array System for AI-Driven Pavement Roughness and Defect Detection Using NVIDIA Jetson and RTX Platforms. $20,000, 07/01/2025~06/30/2026.
We have received the following equipment from Nvidia:
More details see here
Leading PI: USDOT PHMSA CAAP: A Framework and Integrated Solution of a Dynamic Pipeline Hazard and Risk Data Repository for All Pipelines, co-PI Dr. Homero Castaneda (TAMU), Dr. Hao Wang (Rutgers University), Dr. Lei Wang (U Cincinnati). $774,995 (UD portion $464,995). 10/01/2024~03/31/2026
More details see here
Co-PI: Saudi Aramco: Locating and assessing active corrosion anomalies in buried pipelines by integrating machine learning and ILI tools. Leading PI Dr. Homero Castaneda (TAMU), UD portion $80,058. 12/01/2023~11/30/2025.
Co-PI: USDOT PHMSA CAAP: Development of a framework for assessing cathodic protection effectiveness in pipelines based on Artificial Intelligence. PI Dr. Homero Castaneda (TAMU), UD portion $156,272, 11/01/2023~05/30/2026.
Completed Externally Sponsored Research Projects
PI: USDOD ONR: A neural network-based two-stage interrogation-fusion strategy for enhancing Laser Powder Bed Fusion technique, $144,767, 08/01/2022-07/31/2024.
Co-PI, USDOT PHMSA office of pipeline safety: Mapping Indication Severity Using Bayesian Machine Learning from Indirect Inspection Data into Corrosion Severity for Decision-Making in Pipeline Maintenance, subcontract through TAMU $387,500 (UD portion $110,000), 09/30/2019 – 09/29/2021.
PI , ODOT: A Study of Artificial Intelligence Based Interpretation and Modeling Techniques for Geotechnical Site Characterization, sponsored by Ohio Department of Transportation. $50,000, 06/01/2019 – 12/31/2019.
PI, ODOT: GHMS and LIMS upgrade, $113,036, 10/01/2019 – 06/30/2020.
PI, ODOT: Development of Friction Demand Categories and Intervention Treatment, $48,252, 12/01/2018 - 05/30/2019.
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