- Sound field control
- Engineered materials for noise and vibration control
- Big data and machine learning in vibration and acoustics
Big data and machine learning in vibration and acoustics
- Kyle B Gustafson, Naval Surface Warfare Centre, Data-driven structural acoustics for Naval applications including Digital Twin
- Keith Worden, University of Sheffield, Big data for vibration diagnostics
- Weijing Ye, Hong Kong University of Science and Technology, Design based on big data
Steffen Marburg, Technical University of Munich
Stuart Bolton, Purdue University
Engineered materials for noise and vibration control
- Kon-Well Wang, University of Michigan, Reconfigurable Metastructures – From Wave & Vibration Controls to Mechano-Intelligence
- François Gautier, Université du Maine, Vibration mitigation using gradients of mechanical properties : Acoustic Black Hole Effect and Metaplates
- Third speaker to be announced
Roberto Arruda, University of Campinas
Morvan Ouisse, FEMTO-ST Institute
Sound field control
- Efren Fernandez-Grande, Technical University of Denmark: Large-scale capture and modelling of acoustic fields
- Filippo Fazi, University of Southampton: Sound field reproduction: theory and applications
- Shuichi Sakamoto, Tohoku University, Japan, Binaural sound field recording and reproduction using spherical microphone arrays
Jeong-Guon Ih, Korea Advanced Institute of Science and Technology
Weikang Jiang, Shanghai Jiao Tong University
Hong Kong University of Science and Technology
Design based on big data
Professor Ye is a full professor in the Department of Mechanical and Aerospace Engineering at Hong Kong University of Science and Technology. She received her PhD in Theoretical and Applied Mechanics from Cornell University. Before joining the faculty of Mechanical Engineering at the Hong Kong University of Science and Technology in 2007, Prof. Ye was a postdoctoral associate in Massachusetts Institute of Technology, and then an assistant professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology. Prof. Ye is the author and co-author of four book chapters, 79 peer reviewed journal articles and 62 conference publication on various topics in areas of boundary element methods, modeling and design of micro/nano systems and metamaterials, rarefied gas transport, thermal transport and data-driven modeling and design approaches. She is an associate editor of Computer Modeling in Engineering and Science, a member of the editorial board of several internal journals such as Engineering Analysis with Boundary Elements, Scientific Reports and International Journal of Computational Methods. She is also a member of the Executive Council of the International Association for Boundary Element Methods, and has served in the program committee for various international conferences.
University of Sheffield
Big data for vibration diagnostics
Professor Worden began academic life as a theoretical physicist, with a degree from York University and a PhD in Mechanical Engineering from Heriot-Watt University eventually followed. A period of research at Manchester University led to an appointment at the University of Sheffield in 1995, where he has happily remained since.
Keith’s research is concerned with applications of advanced signal processing and machine learning methods to structural dynamics. The primary application is in the aerospace industry, although there has also been interaction with ground transport and offshore industries.
One of the research themes concerns non-linear systems. The research conducted here is concerned with assessing the importance of non-linear modelling within a given context and formulating appropriate methods of analysis. The analysis of non-linear systems can range from the fairly pragmatic to the extremes of mathematical complexity. The emphasis within the research group here is on the pragmatic and every attempt is made to maintain contact with engineering necessity.
Another major activity within the research group concerns structural health monitoring for aerospace systems and structures. The research is concerned with developing automated systems for inspection and diagnosis, with a view to reducing the cost-of-ownership of these high integrity structures.
The methods used are largely adapted from pattern recognition and machine learning; often the algorithms make use of biological concepts e.g. neural networks, genetic algorithms and ant-colony metaphors. The experimental approaches developed range from global inspection using vibration analysis to local monitoring using ultrasound. A major recent development is in ‘population-based structural health monitoring.
Kyle B Gustafson
Naval Surface Warfare Center, Carderock
Data-driven structural acoustics for Naval applications including Digital Twin
Dr. Kyle Gustafson serves as a Science Director (International Program Officer) for Mission Capable, Persistent, and Survivable Platforms at the Office of Naval Research Global, based in Sao Paulo, with responsibility for technology awareness and academic research relationships in Brazil, Argentina, and Uruguay. He is on detail from the Emerging Technology branch within the Signatures Department at the Naval Surface Warfare Center, Carderock Division (NSWCCD). Dr. Gustafson is a transdisciplinary physicist with experience in computational plasma physics, systems biology, circadian genomics, nonlinear dynamics, infectious disease modeling, underwater and structural acoustics, Digital Twin, and time series analysis for maritime applications. He has expertise in data-driven cyber-physical machine learning models, high-performance computing, genomic data analysis, infectious disease modeling, and numerical methods in plasma physics.
Dr. Gustafson earned his PhD in Physics as a Fellow of the Fannie and John Hertz Foundation at the University of Maryland. He wrote his thesis on gyrokinetic methods in high-performance computational plasma physics with Prof. Bill Dorland. Then he was awarded a National Science Foundation International Research Fellowship for postdoctoral work with Prof. Paolo Ricci at the Swiss Plasma Center (formerly CRPP) in Lausanne, Switzerland at the EPFL. At EPFL, he pivoted to systems biology and studied mammalian cell rhythmic genomics with Prof. Felix Naef and Prof. Winship Herr at the University of Lausanne, affiliated with the Swiss Insitute of Bioinformatics. He returned to the US in Seattle where he worked on spatiotemporal models of Ebola and malaria with Dr. Joshua L. Proctor at the Institute for Disease Modeling, which is now part of the Bill and Melinda Gates Foundation. He joined the Signatures Department at NSWCCD at the NBK Bangor Detachment in 2018.
Tohoku University, Japan
Binaural sound field recording and reproduction using spherical microphone arrays
Shuichi Sakamoto received his B.S., M.Sc., and Ph.D. from Tohoku University, in 1995, 1997, and 2004, respectively. He joined the Research Institute of Electrical Communication, Tohoku University, as a Research Associate in 2000. He was then appointed an Associate Professor in 2011. He has been a Professor at the Research Institute of Electrical Communication, Tohoku University, since 2019 and was a Visiting Researcher at McGill University, Montreal, Canada, from 2007 to 2008. His research interests include the development of high-definition three-dimensional audio-recording systems and human multisensory information processing, including hearing and speech perception. He is an Editorial Board Member of Frontiers in Psychology, Auditory Perception & Cognition. He is also a Member of the Acoustical Society of America, Acoustical Society of Japan, and others.
University of Southampton
Sound field reproduction: theory and applications
Dr Filippo Maria Fazi is Associate Professor and Director of Research at the Institute of Sound and Vibration Research of the University of Southampton. He also leads the Virtual Acoustics and Audio Engineering Team. His research interests include acoustics, audio technologies, electroacoustics and digital signal processing, with special focus on acoustical inverse problems, multi-channel systems (including Ambisonics and Wave Field Synthesis), virtual acoustics, microphone arrays and room acoustics. Dr Fazi has been the principal investigator or co-investigator of a number of national and international projects, most of which were carried out in collaboration with a variety of industrial and academic partners and have led to the production of more than 140 scientific publications and several patents. In 2010, Dr Fazi was awarded a 5-year research fellowship by the Royal Academy of Engineering and by the Engineering and Physical Sciences Research Council. In 2018, he was awarded the Tyndall Medal by the Institute of Acoustics. He is also a fellow of the Audio Engineering Society, a member of the Institute of Acoustics and is co-founder and director of AudioScenic, a start-up company that commercialises loudspeaker array technologies developed by Dr Fazi and his team.
Technical University of Denmark
Large-scale capture and modelling of acoustic fields
Efren Fernandez-Grande is an Associate Professor in the Acoustic Technology group, Department of Electrical Engineering at the Technical University of Denmark (DTU). His research interests are in the areas of acoustic signal processing, sound field analysis and array processing, with a particular focus in acoustic holography, sound radiation and room acoustics. He teaches several courses in acoustics and signal processing, and is the head of DTU’s MSc in Engineering Acoustics. Efren received his PhD in acoustics from DTU in 2012 and obtained a postdoctoral fellowship from the Danish Council for Independent Research (2013-2014) before joining the Faculty in 2014. He is a VILLUM Young Investigator fellow (“Large-scale acoustic holography”, 2018-2023, €1.2 M) and is a member of various Technical Committees in the European Acoustics Association, Acoustical Society of America and Danish Acoustical Society. He also serves as Associate Editor for the Journal of the Acoustical Society of America.
Dr. Kon-Well Wang
University of Michigan
Reconfigurable Metastructures – From Wave & Vibration Controls to Mechano-Intelligence
Dr. Kon-Well Wang is the Stephen P. Timoshenko Professor of Mechanical Engineering (ME) at the University of Michigan (U-M). He has been the U-M ME Department Chair from 2008 to 2018, and has served as a Division Director at the U.S. National Science Foundation for two years, 2019-20, via an Executive Intergovernmental Personnel Act rotator appointment. Dr. Wang received his Ph.D. degree from the University of California at Berkeley, worked at the General Motors Research Labs as a Sr. Research Engineer, and started his academic career at the Pennsylvania State University in 1988. At Penn State, Dr. Wang has served as the William E. Diefenderfer Chaired Professor, co-founder and Associate Director of the Vertical Lift Research Center of Excellence, and a Group Leader for the Center for Acoustics & Vibration. He joined the U-M in 2008. Dr. Wang’s main technical interests are in structural dynamics and controls, especially in the emerging fields of programmable metastructures and metamaterials, origami mechanics & dynamics, and intelligent structural & material systems, with applications in vibration, wave & noise controls, energy harvesting, and sensing & monitoring. He has received various recognitions, such as the ASME Rayleigh Lecture Award, the Pi Tau Sigma-ASME Charles Russ Richards Memorial Award, the ASME J.P. Den Hartog Award, the SPIE Smart Structures and Materials Lifetime Achievement Award, the ASME Adaptive Structures and Materials Systems Prize, the ASME N.O. Myklestad Award, and the ASME Rudolf Kalman Award. He has been Chair of the ASME Technical Committee on Vibration and Sound and ASME ME Department Heads Executive Committee, Editor in Chief for the ASME Journal of Vibration & Acoustics, and an Associate Editor or Editorial Board Member for many journals. Dr. Wang is a Fellow of the ASME, AAAS, and IOP.