• Professor, Mechanical Engineering
  • James J. Cain Professor I
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Alan Palazzolo

Educational Background

  • Ph.D., Mechanical Engineering University of Virginia – 1981
  • M.S., Mechanical Engineering University of Virginia – 1977
  • B.S., Engineering Physics University of Toledo – 1976

Research Interests

    • Rotordynamics,
    • Magnetic bearings, motors, flywheels, electromechanical systems
    • Fluid film bearings, seals and impeller flow and forces
    • Vibrations, geothermal drilling dynamics
    • Hemodynamics, and ventricular and cavopulmonary assist devices
    • Computational methods in mechanics.

Awards & Honors

  • Best paper of the year, American Society of Mechanical Engineers (ASME) J. of Tribology – 2014, 2016
  • Lifetime achievement award, 13th International Symposium on Magnetic Bearings - 2012
  • Fellow, American Society of Mechanical Engineers (ASME) - 2006
  • R&D 100 Award, Ultra high temperature magnetic bearing - 2003
  • Senior Fellow, Texas A&M Engineering Experiment Station - 1999

Selected Publications

  • Palazzolo, A.B., et al. (2025). Introduction to Engineering Nonlinear and Parametric Vibrations with MATLAB and Maple. Wiley.
  • S Sarfare*, A Palazzolo, M Afaq, G Ghali, G Giridharan, M Rodefeld, “CFD‐Based Hemolysis Study of Fontan Cavopulmonary Assist Device Using Kriging Surrogate Modeling”, Artificial Organs, 2025
  • Yang, J. and Palazzolo, A. “Fourier Neural Operator for Flow-Induced Rotordynamics Force Prediction and Application to a SCO2 Magnetic Bearing-Rotor System”, Mechanical Systems and Signal Processing. Volume 232, 1 June 2025, 112750
  • Sarfare, S., Ali, M, Alford, M, Palazzolo, A. ,” Prediction of Friction Factors and Leakage for Hole Pattern Seals using CFD and Artificial Neural Network”, ASME J of Tribology
  • Yang*, J., Kim*, B, Oh*, J., Palazzolo, A. “Digital Twin Implementation for Three-Dimensional Rotordynamic Response via Physics-Informed LSTM Neural Networks”, ASME J. Vibrations and Acoustics, APRIL 2024, Vol. 146 / 021003-1
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