I do computational design for Digital Twins that learn, decide, and adapt in real time.
I develop AI-enabled methods for real-time decision-making and design optimization under uncertainty — integrating physics-based models, AI, and design methods to engineering and optimize intelligent systems.
A dad, a husband, a Christian, and a researcher in design optimization and Digital Twins.
Originally from Kaohsiung, Taiwan, I'm a postdoc in Mechanical Engineering at Northwestern University, advised by Dr. Wei Chen in the Integrated DEsign Automation Laboratory (IDEAL). My work integrates physics-based knowledge, machine learning surrogates and uncertainty quantification to enable efficient, reliable, and online-adaptable decision-making for Digital Twin systems. I will join the Department of Mechanical Engineering at National Taiwan University as a tenure-track assistant professor starting from February 1st, 2027.
My research applies data-driven methods to the core challenges of Digital Twins and design optimization under uncertainty — integrating machine learning as a surrogate for complex physics, and developing algorithms for real-time, online-adaptable decision-making. It spans two connected streams.
Digital Twins are more than virtual replicas — they enable bi-directional interaction between a physical system and its digital counterpart. Integrating AI, uncertainty quantification, and real-time data, I develop methods for system design, performance optimization, and lifecycle management.
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Sequential decision-making is the key to active data collection for surrogate modeling and simulation-based design. By leveraging quantified model uncertainty, I design active-learning algorithms that maximize sampling efficiency in multi-fidelity design and Digital Twins.
Read more →Yi-Ping Chen in bold. Click any paper for the abstract, figure, and links. Full list on Google Scholar.
Conference talks & presentations are listed in the Talks section below.
Peer-reviewed full papers presented at conferences. Click any paper for details. Yi-Ping Chen in bold.
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I'm on the academic job market and always glad to talk research, collaboration, or mentoring. Reach out any time.