Andrew Barnard

Andrew Barnard

Contact

  • Vice President for Research
  • PhD, Acoustics, The Pennsylvania State University
  • MS, Mechanical Engineering, Michigan Technological University
  • BS, Mechanical Engineering, Michigan Technological University

Biography

Andrew served as Professor and Director of the Graduate Program in Acoustics at Penn State until 2024. He has been a faculty member at Michigan Tech in the Department of Mechanical Engineering – Engineering Mechanics since 2014, serving in roles of assistant, associate, and adjunct professor. He served Director of the Great Lakes Research Center at Michigan Tech from 2019-2021 and Director of the Center for Acoustics and Vibration at Penn State from 2023-2024. He previously was a research associate at the Applied Research Laboratory at Penn State for eight years. He received his BS and MS in Mechanical Engineering from Michigan Tech in 2002 and 2004, respectively. He received a PhD in Acoustics from Penn State University in 2010. Dr. Barnard is Board Certified by the Institute for Noise Control Engineering (INCE). Dr. Barnard has interests in acoustics, noise control, and vibration, as well as water resources and marine technology. Currently, he is interested in commercialization of smart beach safety technology and carbon nanotube (CNT) loudspeakers. He is also interested in the acoustics of ice-covered environments for classification of ice conditions and localization and tracking of moving sources on- and under-ice using machine learning techniques. Finally, he is interested in the implementation of maritime autonomous vehicles in commercial and defense applications.

Areas of Expertise

  • Acoustics
  • Noise Control
  • Vibration
  • Real Time Control Systems

Research Interests

  • Advanced Measurements and Signal Processing
  • Acoustic Intensity and Vector Sensors
  • Room Acoustics
  • Acoustic Material Characterization
  • Outdoor Sound Propagation
  • Physical Acoustics
  • NI LabVIEW Data Acquisition and Control
  • Microphones
  • Crowd Noise
  • Underwater Acoustics and Machine Learning
  • Structural Acoustics
  • Array Signal Processing