Guillermo Riveros | computational | Best Researcher Award Posted on 09/07/202409/07/2024 by ScienceFather Guillermo Riveros | computational | Best Researcher Award Dr. Guillermo A. Riveros, U.S. Army Engineer Research and Development Center, United States. Dr. Guillermo A. Riveros is a Research Civil Engineer at the U.S. Army Engineer Research and Development Center (ERDC) in Vicksburg, United States. Since 1992, he has been a subject matter expert in areas such as Water Resources Infrastructure, Fatigue and Fracture Mechanics, Computational Fluid and Solid Mechanics, Structural Assessment of Aging Infrastructure, Bio-inspired Material Engineering, and Large Scale Additive Manufacturing. His innovative research has led to significant advancements in both civil and military engineering fields. Publication Profile Scopus Education and Experience Dr. Riveros received his BS and MS in Civil Engineering from the University of Puerto Rico at Mayagüez. He also earned an MS in Engineering Mechanics from Mississippi State University and a Ph.D. in Civil Engineering from the University of Missouri-Columbia. He has been with the ERDC since 1992, where he has significantly contributed to advancements in engineering computational modeling and analysis. Professional Development Throughout his career, Dr. Riveros has focused on developing innovative methods for fatigue and corrosion repairs using fiber-reinforced polymers, assessing military infrastructure, and exploring bio-inspired materials like Paddlefish. His work combines field measurements with sophisticated 3D finite element analysis to improve the longevity and efficiency of critical structures. Research Focus Dr. Riveros’s research includes cutting-edge areas such as computational and experimental mechanics of tainter gates and miter gates, fatigue and fracture mechanics, and bio-inspired material engineering. He aims to keep pace with rapid scientific and technological developments, producing tools and models that advance civil, military, and environmental research. Publications Deep Learning-Based Super Resolution Applied to Finite Element Analysis of Fused Deposition Modeling 3D Printing, 2024. Prediction of air filtration efficiency and airflow resistance of air filter media using convolutional neural networks and synthetic data derived from simulated media, 2023. Multi-axial fatigue behavior of high-strength structural bolts, 2023. Stabilized Electrospun Polyacrylonitrile Fibers for Advancements in Clean Air Technology, 2023. Alternative High-Performance Fibers for Nonwoven HEPA Filter Media, 2023. Modeling uniform random distributions of nonwoven fibers for computational analysis of composite materials, 2022. Basalt Fibers for Underwater Fatigue Repair of Steel Panels, 2022. The effects of deteriorated boundary conditions on horizontally framed miter gates, 2022. Digital twin geometry for fibrous air filtration media, 2021. Fiber selection for reinforced additive manufacturing, 2021.