In this podcast, NACE members Joe Mazzella and Tom Hayden of Engineering Director, Inc. (Evanston, Illinois, USA) join the MP Interview Series to discuss the work they are doing to combat corrosion through the use of machine learning. They provide a brief overview of their project that involves estimating corrosion growth rates in underground pipelines; details about the computer vision app they are creating; and an update on NACE task group TG 589.
More information on their work is available in the August 2020 issue of Materials Performance (MP).
Alan Thomas Takes Reins as AMPP’s New CEO
Member Profile: GPI’s Charles Brown
Editor Roundtable Part 2: Future of Corrosion Research
Editor Roundtable Part 1: State of Corrosion Research
Corrosion Life Predictions
Brunno Batista Pushes for Progress in Coatings
Malcolm McNeil on More Than a Half-Century in Coatings
How Coatings Can Best Protect Vital Energy Infrastructure
Pit-to-Crack Transitions of Metallic Structures
World Traveler: Phil Fouche Educates Generations of Coatings Pros
Carboline’s Jeremy Sukola on Water, Wastewater and Beyond
How AMPP Is Gearing Up for Its 2023 Flagship Event
Utilizing Machine Learning for External Corrosion Management
Protective Coatings for Industrial Infrastructure
Internal Monitoring Solutions for Integrity Management
Advice for Entering a Career in Corrosion Research
Bob Chalker on His Retirement and AMPP’s Path Forward
Alison Kaelin on OSHA’s Proposed Changes to Lead Standards
Member Roundtable: CIP Program Updates
Phil Scisciani on Nearly Four Decades in the Coatings Industry
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