by U-M MICDE | Dec 18, 2024
The overarching goal of my research is to develop innovative data science methodologies that enable responsive, optimal, and intelligent decision-making in manufacturing. My work focuses on three interconnected research thrusts: (1) online process control and...
by U-M MICDE | Oct 21, 2024
My research focuses on understanding rotator cuff tendon tear growth mechanics using full-volume strain-probing methods and data-driven modeling. By comparing intact and torn tendons, I have shown that shear strains are high at the boundaries of attached/detached...
by U-M MICDE | Oct 3, 2024
My current research focuses on Explainable AI in Industry, and my interests are in Machine Learning and its applications in the Industrial Field. I wish to devote my talent to this meaningful cause and bring well-being to society. More information about me is...
by U-M MICDE | Aug 21, 2024
Professor Tan has focused his recent efforts on physics-based modeling for various advanced manufacturing processes. Specifically, he has been working on computational fluid dynamics and computational materials modeling for additive manufacturing, welding, casting,...
by U-M MICDE | Oct 2, 2023
My research focuses on Scientific Machine Learning and Uncertainty Quantification for complex systems in science, engineering, and biology. Primary focuses include Inverse Reinforcement Learning, Bayesian Inference and their applications cancer cell behavior study in...
by U-M MICDE | Sep 27, 2023
Weaving enables us to create complex geometries with unique properties. Basketweaving, for example, can achieve stiff three-dimensional shapes by combining flexible fibers. I am developing computational models that can simulate woven geometries to understand how...
by U-M MICDE | Sep 26, 2023
Numerical methods for multiphase, high energy density systems
by U-M MICDE | Sep 26, 2023
Task Allocation for Human-AI Teaming by Deep Reinforcement Learning
by Eszter Haseli | Jul 19, 2023
by Eszter Haseli | Jul 19, 2023
