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PICS Colloquium: “Swarming bacteria as novel active biomaterials – insights into the collective mechanics, particle transport and morphological adaptation in swarming bacteria from in-silico experiments”

Abstract: Flagellated and motile bacteria, in isolation or in coexistence with fungi, are implicated in about two-thirds of human infections. During infection, and generally even in relatively benign situations, bacteria may colonize surfaces via a process called swarming – a form of rapid translocation associated with changes in cell phenotype.  As swarmer cells move rapidly, they interact […]

MEAM Seminar: “Bridging Physical Models and Observational Data with Physics-informed Deep Learning”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

Physical models of many natural and engineered systems are, at best, only partially known; a common setting under which classical analytical or computational tools inevitably face challenges and introduce many sources of uncertainty. Therefore, observational data plays a crucial role, yet our ability to collect them far outpaces our ability to sensibly assimilate it, let […]

CBE Seminar: “Bio-inspired Pathways to Manipulating Architecture and Mechanics in Polymeric Materials”

Zoom - Email CBE for link

Abstract Fiber constructs are prevalent in natural systems, from collagen fiber networks in tendon to tough, spider silk fibers. Recent innovations in multilayer co-extrusion technology have translated to the fabrication of melt-extruded fiber-reinforced composites, reminiscent of the nanoscale features of the Brown Recluse Spider. Distinct advantages of this modular approach over other traditional techniques include […]

ESE Seminar: “The Role of Explicit Regularization in Overparameterized Neural Networks”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

Overparameterized neural networks have proved to be remarkably successful in many complex tasks such as image classification and deep reinforcement learning. In this talk, we will consider the role of explicit regularization in training overparameterized neural networks. Specifically, we consider ReLU networks and show that the landscape of commonly used regularized loss functions have the […]

ESE Seminar: “Learning is Pruning”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

The strong lottery ticket hypothesis (LTH) postulates that any neural network can be approximated by simply pruning a sufficiently larger network of random weights. Recent work establishes that the strong LTH is true if the random network to be pruned is a large poly-factor wider than the target one. This polynomial over-parameterization is at odds with […]

Doctoral Dissertation: “Implantable Micro-Tissue Engineered Nerve Grafts to Maintain Regenerative Capacity and Facilitate Functional Recovery Following Nervous System Injury” (Justin Burrell)

The Department of Bioengineering at the University of Pennsylvania and Dr. D. Kacy Cullen are pleased to announce the Doctoral Dissertation Defense of Justin Burrell. Title:  Implantable Micro-Tissue Engineered Nerve Grafts to Maintain Regenerative Capacity and Facilitate Functional Recovery Following Nervous System Injury  The public is welcome to attend virtually via Bluejeans.

MEAM Ph.D. Thesis Defense: “Structural and Mechanical Responses to Intermittent Parathyroid Hormone Treatment, Discontinuation, and Cyclic Administration Regimens”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

Bone mineral density rapidly decreases upon withdrawal from intermittent parathyroid hormone (PTH) treatment despite its potent effect of promoting bone formation. To better understand this adverse phenomenon, this study first aimed to investigate the phenotype of PTH withdrawal in both intact and estrogen-deficient rat model by using a well-designed experiment combined with innovative longitudinal imaging […]