Artificial Intelligence and Machine Learning

The mission of the Artificial Intelligence and Machine Learning Technical Group is to explore and leverage applications of AI and ML in all areas of acoustics and vibration. The overarching goal of the group is to solve traditionally challenging problems in acoustics and vibration, particularly involving sensing, prediction, estimation, and control, in realistic industrial scenarios. The methodology of AI and ML ranges from the conventional supervised and unsupervised learning, to the more sophisticated operator-theoretic and information-theoretic methods, and to active, transferrable and explainable learning.

Research Topics

  • Reduced-order modeling of multidisciplinary dynamical systems
  • Data-augmented design and optimization of complex mechanical systems
  • Feature engineering and extraction, representation, and mining of big measurement data sets
  • Multi-fidelity multi-variate information fusion and predictive inference
  • Data-driven predictive analytics and decision making
  • Classification and pattern recognition

Contact Information

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Dr. Daning Huang

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Dr. Karl Reichard



The Center for Acoustics and Vibration performs basic and applied research in vibration and acoustics, supports graduate education, and transfers technology to U.S. industry and government. The center includes faculty, graduate students, and staff in laboratories throughout the College of Engineering and at the Applied Research Lab. These laboratories perform both disciplinary and cross-disciplinary research in areas related to acoustics and vibration.

Center for Acoustics and Vibrations

College of Engineering

The Pennsylvania State University

University Park, PA 16802