Scot McNeill

About Scot McNeill

Dr. McNeill draws on his expertise in dynamic modeling, numerical simulation and analysis of measured data to provide comprehensive engineering analysis. He keeps up to date with the latest advancements in the research literature and implements many of the most powerful methods to ensure that the state-of-the-art engineering capabilities are at the client’s disposal. Dr. McNeill’s main focus is in the following areas of structural dynamics- Machine learning and statistical analysis- Signal processing: Fourier, Hilbert, time-frequency, statistical analysis- Measured data cleansing and analytics; analysis of deterministic and random processes- Algorithm and software development with Graphical User Interface (GUI)- Structural health monitoring- Random vibration and mechanical shock: data analysis, environment characterization and structural response prediction- Modal testing, system identification, modal parameter extraction and damage detection using in-situ, output-only data, model correlation and refinement- Process equipment vibration measurement, analysis, diagnostics and mitigation- Fatigue damage estimation in time and frequency domains- Numerical simulation for linear and non-linear systems- Modeling and identification of nonlinearities in structures- Multiaxial fatigue- Multivariate extreme value estimation- Model reduction and substructuring

Experience

1. Noise & Vibration Engineer

   ExxonMobil

   Apr 2023 — Present · Spring, TX, US

Education

• University of Houston

  Ph.D.

  2004 — 2007

• University of Wisconsin-Madison

  B.S. & M.S.

  1997 — 2001

Skills

• System Identification
• Structural Dynamics
• Stress Analysis
• Vibration Testing
• Structural Engineering
• Data Analysis
• Signal Processing
• Numerical Simulation
• Structural Analysis
• Statistics
• Modeling
• Oil & Gas
• Engineering
• Aerospace
• Finite Element Analysis
• Abaqus
• Dynamics
• Fortran
• Simulations
• Matlab
• Modal Analysis
• Project Engineering