Engineering in the Age of Big Data: From Research Roadmap to Real-World Impact | Speaker Event
About this Event
The rapid growth of the Internet of Things (IoT) and cyber-physical infrastructure has transformed modern engineering systems into data-rich environments, generating massive streams of information across time and space. This shift opens up unprecedented opportunities to improve system performance, but also poses new challenges for process monitoring, from handling heterogeneous data formats and high-dimensional structures to coping with system complexity and limited prior knowledge. In this talk, Prof. Liu will share a research roadmap and recent advances from his group on online monitoring of big data streams. Through selected case studies, he will illustrate how novel data science and multidisciplinary analytics methods can enhance process monitoring, enable dynamic sampling, and drive quality improvement in industrial applications shaped by the realities of Big Data. If time permits, Prof. Liu will also highlight other projects in his group, such as system degradation modeling, prognostics and bioinformatics, showcasing how data-driven approaches are pushing the boundaries of both traditional and emerging domains.
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