Keynote Forums

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.

Convenor: Steffen Marburg, Technical University of Munich

Chair: TBC

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.

Forum: Big data and machine learning in vibration and acoustics

Convenor: Steffen Marburg, Technical University of Munich

Chair: TBC

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.

Convenor: Steffen Marburg, Technical University of Munich

Chair: TBC