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Mechanical Engineering Seminar Series: Astrid Layton

1200 EECS 1301 Beal Ave, Ann Arborr, MI, United States

Inspiration from nature has produced some fascinating, novel, and life changing solutions for the human world. Most of these bio-inspired designs however have been product based, but taking a systems perspective when we look to nature taps inspirations that can improve the critical networks we depend on. This talk focuses on biological ecosystems in particular, complex networks of interacting species that are able to support individual needs while maintaining system-level functions during both times of abundance and unexpected disturbances.

Mechanical Engineering Seminar Series: Peng Chen

1200 EECS 1301 Beal Ave, Ann Arborr, MI, United States

Peng Chen is currently a tenure-track assistant professor in the School of Computational Science and Engineering at Georgia Tech. In this talk, he will present a novel machine learning framework for solving optimization problems governed by large-scale partial differential equations (PDEs) with high-dimensional random parameters.

ME Seminar Series: Tony Jun Huang

1200 EECS 1301 Beal Ave, Ann Arborr, MI, United States

The use of sound has a long history in medicine. Dating back to 350 BC, the ancient Greek physician Hippocrates, regarded as “the father of medicine,” devised a diagnostic method for detecting fluid in the lungs by shaking patients by their shoulders and listening to the resulting sounds emanating from their chest. As acoustic technology has advanced, so too has our ability to “listen” to the body and better understand underlying pathologies.

ME Seminar Series: Nenad Miljkovic

1200 EECS 1301 Beal Ave, Ann Arborr, MI, United States

Mechanical Engineering Seminar Series Tailoring Surface Chemistry and Surface Roughness to enable the Long-Term Stable Dropwise Condensation of Steam and Refrigerant Working Fluids Nenad Miljkovic Professor; Kritzer Faculty Scholar Mechanical Science & Engineering University of Illinois at Urbana-Champaign Room 1200 EECS Tuesday, April 4, 2023 3:00 PM ME Seminar Zoom link Passcode 309714 Add ME […]

ME Seminar Series: Minh-Son Pham

1200 EECS 1301 Beal Ave, Ann Arborr, MI, United States

Architected materials are lightweight with high specific strength and excellent energy absorption, holding great promise for a range of applications, including automobiles, aerospace, and space. However, the absolute strength of such materials is low due to the removal of base material. To enhance the strength, stretch-dominated architectures are used, but they suffer post-yield collapses, severely limiting their energy absorption and post-yield stability, which are critical for structural applications.

ME Seminar Series: Dongbin Xiu

1200 EECS 1301 Beal Ave, Ann Arborr, MI, United States

We present a framework of predictive modeling of unknown system from measurement data. The method is designed to discover/approximate the unknown evolution operator behind the data. Deep neural network (DNN) is employed to construct such an approximation. Once an accurate DNN model for evolution operator is constructed, it serves as a predictive model for the unknown system and enables us to conduct system analysis.

ME Seminar Series: Simon Sponberg

1200 EECS 1301 Beal Ave, Ann Arborr, MI, United States

The ability to move is a trait of all animals. Yet how do animals, including ourselves, get around in this complex and uncertain world with an ease and agility we find hard to recreate in engineered systems?