Grand Conference Room, 2540 GGB

This talk will present a suite of enabling methodologies including sampling design (aka active learning), transfer learning, domain adaptation and generalization, and federated learning that span the full life cycle of data-driven decision-making. Real-world case studies involving a wide range of manufacturing applications will be discussed to illustrate these methodologies and demonstrate their effectiveness in various decision-making tasks such as part qualification, online monitoring, maintenance, fault diagnosis, and quality improvement.

Tissue morphogenesis is the process by which cells and tissues acquire their shape and structure during embryonic development.  While the design of a tissue is encoded in the genome, the execution of this program is driven by the mechanical progression of coordinated behaviors at molecular, cellular and tissue scales.

Atmospheric flows are highly unsteady, and systems operating within them must contend with gust disturbances that can lead to performance losses and structural damage. Therefore, the next generation of wind-energy systems requires physics-informed design principles that effectively account for and even leverage these unsteady flow phenomena for enhanced power generation, robustness, and operational longevity.

Interventions utilizing synthetic biomaterials for the modulation of cellular behavior in situ present a unique solution to the persistent challenges in cell manufacturing and conventional cell therapies. By engineering non-biological materials to transmit biological signals, we have the ability to fine-tune adhesive forces, regulate cellular mechanotransduction, and shape the immune response to create an optimal milieu for tissue healing.

This seminar will explore the intersection of knowledge from the field of textile manufacturing with the needs of soft robots and devices, specifically focusing on wearable applications, including performance metrics, material and component choices, and fabrication strategies.