Robert X. Gao
Case Western Reserve University
Presenting in Track 15: Safety Engineering, Risk and Reliability Analysis
Presentation Title: Recent Advancements in Integrating Big Data Analytics with Physical Domain Knowledge
Abstract: The exponential growth of data as a co-product of manufacturing and computational infrastructure has transformed the state of manufacturing processes and product maintenance into a data-driven paradigm that augments empirical knowledge and model-based analysis, further enhancing technologies for machine condition monitoring, fault diagnosis, and remaining useful life (RUL) prognosis. The result is improved operational safety, higher material and energy efficiencies, and enhanced reliability in prognosis and health management for manufacturing machines and operations.
This talk presents an overview of recent advancements in integrating big data analytics with physical domain knowledge to enable effective and efficient information extraction, with the goal to support learned decision-making in equipment and product maintenance, performance management, intelligent process planning, and health system outcomes.
Biography: "Robert Gao is the Cady Staley Professor of Engineering and Department Chair
of Mechanical and Aerospace Engineering at Case Western Reserve University
in Cleveland, Ohio. Since receiving his Ph.D. from the Technical University
of Berlin, Germany in 1991, he has been working on physics-based signal
transduction mechanisms for process-embedded sensing, multi-resolution
analysis, stochastic modeling, and AI/machine learning-based data analytics
for manufacturing process control and quality assurance.
Professor Gao is a Fellow of the ASME, SME, IEEE, CIRP, and a
Distinguished Fellow of the International Institute of Acoustics and Vibration
(IIAV). He has published over 400 technical papers, including more than 210 journal articles, three books,
and holds 13 patents. He has received several professional awards, including the ASME Milton C. Shaw
Manufacturing Research Medal, ASME Blackall Machine Tool and Gage Award, SME Gold Medal, SME
Eli Whitney Productivity Award, IEEE Instrumentation and Measurement Society Technical Award, IEEE
Best Application in Instrumental and Measurement Award, ISFA Hideo Hanafusa Outstanding Investigator
Award, and ten Best Paper awards. He served as the Chair of the Scientific Committee of the North
American Manufacturing Research Institute (NAMRI/SME) and Chair of the CIRP Collaborative Working
Group on AI in Manufacturing (CWG-AI). He was a Senior Editor for the IEEE/ASME Transactions on
Mechatronics, Associate Editor for the ASME Journal of Dynamic Systems, Measurement, and Control,
,em>ASME Journal of Manufacturing Science and Engineering, IFAC Mechatronics, IEEE Transactions on
Instrumentation and Measurement, etc. He was recognized as the Web of Science (WoS) "Highly Cited
Researcher in the Field of Engineering" in 2023 and 2024, respectively.