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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201201T103000
DTEND;TZID=America/New_York:20201201T120000
DTSTAMP:20260407T054520
CREATED:20200831T152121Z
LAST-MODIFIED:20200831T152121Z
UID:10006465-1606818600-1606824000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: “'Smart' Biodegradable Polymer at Nano and Micro Scales for Medical Applications"
DESCRIPTION:The ability to transform medical polymers\, commonly used for resorbable surgical sutures\, into desired 3D forms/shapes/structures at nano and micro scales with “smart” functions\, while sustaining the materials’ excellent biocompatibility and biodegradability\, provides significant applications in different biomedical fields\, ranging from tissue engineering and controlled drug/vaccine delivery to medical devices. Here\, I will present our recent research works to create 3D microstructures of biodegradable polymers for developing single-administered vaccines\, and convert the biopolymers into “smart” piezoelectric nanomaterials\, which can generate electricity under deformation and vice versa\, offering a variety of exciting applications in biodegradable force sensors\, tissue-engineering scaffolds and medical transducers.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-smart-biodegradable-polymer-at-nano-and-micro-scales-for-medical-applications/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201201T150000
DTEND;TZID=America/New_York:20201201T160000
DTSTAMP:20260407T054520
CREATED:20201119T193735Z
LAST-MODIFIED:20201119T193735Z
UID:10006551-1606834800-1606838400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Challenges of Incorporating Algorithms into Decision Making: Fairness\, Welfare and Disparate Interactions"
DESCRIPTION:Algorithms have entered the center of many decision making processes\, either by providing predictions or assessments to facilitate human decision making or\, in some scenarios\, suggesting decisions directly. More and more attention has been placed to ensure algorithms satisfy some desirable notion of fairness\, which is an important step forward. In this talk\, I will discuss the importance of examining algorithmic decision-making and algorithm-facilitated decision making in the broader context of intended applications and in the lens of human-algorithm interactions. I will first present a welfare-based analysis of fair classification algorithms to assess the welfare impact of fairness-constrained classification algorithms in the context of financial lending. Our analysis shows that applying stricter  fairness constraints in the algorithms can worsen welfare outcomes of all groups. Then\, I’ll discuss a sequence of controlled human-subject experiments studying how the interactions between people and algorithms influence human decision making. In our experiments in two contexts (pretrial release and financial lending)\, when presented with algorithmic risk assessments\, participants exhibited additional bias in their decisions and showed a change in their decision-making process by increasing risk aversion.\n\nThis talk is based on joint works with Lily Hu and Ben Green.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-challenges-of-incorporating-algorithms-into-decision-making-fairness-welfare-and-disparate-interactions/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201201T150000
DTEND;TZID=America/New_York:20201201T170000
DTSTAMP:20260407T054520
CREATED:20201112T184204Z
LAST-MODIFIED:20201112T184204Z
UID:10006545-1606834800-1606842000@seasevents.nmsdev7.com
SUMMARY:Doctoral Dissertation: "Biomechanical & Biochemical Contributions of Matrix Metalloproteinases in Joint Pain: Models\, Mechanisms & Patients"
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Beth Winkelstein are pleased to announce the Doctoral Dissertation Defense of Meagan Ita.  \nTitle: “Biomechanical & Biochemical Contributions of Matrix Metalloproteinases in Joint Pain: Models\, Mechanisms & Patients”\n\nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/92269228349\nMeeting ID: 922 6922 8349
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-biomechanical-biochemical-contributions-of-matrix-metalloproteinases-in-joint-pain-models-mechanisms-patients/
LOCATION:PA
CATEGORIES:Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201204T140000
DTEND;TZID=America/New_York:20201204T150000
DTSTAMP:20260407T054520
CREATED:20201104T134517Z
LAST-MODIFIED:20201104T134517Z
UID:10006538-1607090400-1607094000@seasevents.nmsdev7.com
SUMMARY: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"
DESCRIPTION: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 with each other forming cohesive structures that then rapidly develop into collective multicellular aggregates.  Understanding the swarming process is important for biomedicine\, and is relevant  to evolutional biology – in\, for instance\, understanding the evolution of phylogenetic spatial structures in bacterial populations. On a complementary note\, understanding the biophysical and mechanical aspects of swarming can provide insights into synthesizing the next generation of adaptable matter.    \nWhile comprised of independently cells\, swarms exhibit collective properties and remarkable emergent flow patterns. Recent work supports treating these collective systems as novel living biomaterials with evolving composite properties. In this talk\, I will discuss how the combination of key experimental discoveries combined with multi-scale simulations enables careful interrogation\, analysis and understanding of microbial swarms and films. The experimental component of the talk will highlight experimental observations on swarming Serratia marcescens\, a rod-shaped gram negative bacterium. Following that\, I will discuss recent work on a suite of computational approaches that we exploit to simulate these active systems. Our approaches include agent-based full-hydrodynamics simulations\, adaptations of Active Brownian Particle (ABP) stochastic models\, and mean-field continuum models solved using parallellized level-set methods on high resolution and highly adaptive Quadtree meshes.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-swarming-bacteria-as-novel-active-biomaterials-insights-into-the-collective-mechanics-particle-transport-and-morphological-adaptation-in-swarming-bacteria-from-in-silico/
LOCATION:PA
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201207T120000
DTEND;TZID=America/New_York:20201207T130000
DTSTAMP:20260407T054520
CREATED:20200908T172016Z
LAST-MODIFIED:20200908T172016Z
UID:10006485-1607342400-1607346000@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: “Interplay of receptor tyrosine kinase activation at the cell surface and environmental mechanics” (Shalini Low-Nam)
DESCRIPTION:“Interplay of receptor tyrosine kinase activation at the cell surface and environmental mechanics” \nPhysical Sciences in Oncology Center PSOC@Penn \nFall 2020 Webinar Series Mondays @ Noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-interplay-of-receptor-tyrosine-kinase-activation-at-the-cell-surface-and-environmental-mechanics-shalini-low-nam/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201208T103000
DTEND;TZID=America/New_York:20201208T120000
DTSTAMP:20260407T054520
CREATED:20201124T222847Z
LAST-MODIFIED:20201124T222847Z
UID:10006552-1607423400-1607428800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Bridging Physical Models and Observational Data with Physics-informed Deep Learning"
DESCRIPTION: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 alone understand it. Despite their towering empirical success\, machine learning approaches are not currently able to extract interpretable information and knowledge from this data deluge. Moreover\, purely data-driven methods may fit observations very well\, but predictions may be physically inconsistent or implausible\, due to extrapolation or observational biases\, for example. In this talk we will discuss the foundations of a new family of machine learning methods coined as physics-informed neural networks\, that aim to seamlessly bridge this gap by synthesizing incomplete physics-based models with imperfect observational data. Specifically\, we will illustrate the mechanisms by which deep neural networks can be constrained to respect fundamental laws of physics\, but also highlight certain pathologies and limitations that arise during this process. Strikingly\, some of the latter can be addressed by exploring connections to classical methods in numerical analysis and optimization\, opening the path to designing more principled algorithms and deep learning architectures that do not simply rely on guesswork. Finally\, we will demonstrate the power of these methods across a range of diverse engineering applications\, including problems in design optimization\, heat transfer\, wave propagation\, cardiovascular fluid mechanics\, and modeling of COVID-19 spread dynamics.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-bridging-physical-models-and-observational-data-with-physics-informed-deep-learning/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201209T150000
DTEND;TZID=America/New_York:20201209T160000
DTSTAMP:20260407T054520
CREATED:20200917T001220Z
LAST-MODIFIED:20200917T001220Z
UID:10006503-1607526000-1607529600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Bio-inspired Pathways to Manipulating Architecture and Mechanics in Polymeric Materials"
DESCRIPTION:Abstract\n \nFiber 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 scalability\, environmentally-friendly conditions\, and the ability to obtain cross-sectional dimensions on the nanoscale. Here\, we describe the mechanics and structural features of biologically-relevant\, reinforced hydrogels via an in situ approach. This manufacturing strategy allows for strategic control of hydrogel architecture\, fiber (single component and blends) alignment and loading\, and compressive stability and stiffness. Promising results related to cell adherence and growth\, and controlled degradation rates\, are highlighted for these extruded hydrogel scaffolds. \nSupramolecular interactions may hold the key to the development of elastomers with a tailored elastic response and improved mechanics\, such as observed in the muscle protein titin and polychaete worm jaw. It is the dynamic nature of the supramolecular interaction that we have exploited in the design of tough supramolecular elastomers that superimpose covalent and non-covalent interactions to tailor tensile response. In this research\, concepts of interfacial control of self-assembly\, composition\, and dynamics as it relates to mechanical behavior are examined. Supramolecular blends\, nanocomposites and interpenetrating networks have been investigated to achieve gradient mechanics\, shape memory response\, and bilayer actuation. These systems show promise in smart coating applications and for the development of functional polymer blends.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-bio-inspired-pathways-to-manipulating-architecture-and-mechanics-in-polymeric-materials/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201210T100000
DTEND;TZID=America/New_York:20201210T120000
DTSTAMP:20260407T054520
CREATED:20201204T190653Z
LAST-MODIFIED:20201204T190653Z
UID:10006557-1607594400-1607601600@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense  | Integrin crosstalk in the upstream migration of CD4+ T lymphocytes
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-integrin-crosstalk-in-the-upstream-migration-of-cd4-t-lymphocytes/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201210T104500
DTEND;TZID=America/New_York:20201210T114500
DTSTAMP:20260407T054520
CREATED:20200828T161336Z
LAST-MODIFIED:20200828T161336Z
UID:10006460-1607597100-1607600700@seasevents.nmsdev7.com
SUMMARY:MSE Graduate Student Seminar
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-graduate-student-seminar/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201210T110000
DTEND;TZID=America/New_York:20201210T120000
DTSTAMP:20260407T054520
CREATED:20201118T214105Z
LAST-MODIFIED:20201118T214105Z
UID:10006548-1607598000-1607601600@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "The Role of Explicit Regularization in Overparameterized Neural Networks"
DESCRIPTION: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 property that every local minimum has good memorization and regularization performance. Joint work with Shiyu Liang and Ruoyu Sun.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-the-role-of-explicit-regularization-in-overparameterized-neural-networks/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201215T120000
DTEND;TZID=America/New_York:20201215T130000
DTSTAMP:20260407T054520
CREATED:20201208T163504Z
LAST-MODIFIED:20201208T163504Z
UID:10006565-1608033600-1608037200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Learning is Pruning"
DESCRIPTION: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 experimental research that achieves good approximation by pruning networks that are only a small factor wider than the target one. In this talk\, I will tell you how we close this gap and offer an exponential improvement to the over-parameterization requirement. I will give a sketch of the proof that any target network can be approximated by pruning a random one that is only a logarithmic factor wider. This is possible by establishing a connection between pruning random ReLU networks and random instances of the weakly NP-hard SubsetSum problem. Our work indicates the existence of a universal striking phenomenon: neural network training is equivalent to pruning slightly overparameterized networks of random weights. I will conclude with sharing hints of a general framework indicating the existence of good pruned networks for a variety of activation functions\, architectures\, even applicable for the case where both initialization weights and activations are binary.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-learning-is-pruning/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201216T103000
DTEND;TZID=America/New_York:20201216T123000
DTSTAMP:20260407T054520
CREATED:20201201T184857Z
LAST-MODIFIED:20201201T184857Z
UID:10006554-1608114600-1608121800@seasevents.nmsdev7.com
SUMMARY:Doctoral Dissertation: "Implantable Micro-Tissue Engineered Nerve Grafts to Maintain Regenerative Capacity and Facilitate Functional Recovery Following Nervous System Injury" (Justin Burrell)
DESCRIPTION: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. \nTitle:  Implantable Micro-Tissue Engineered Nerve Grafts to Maintain Regenerative Capacity and Facilitate Functional Recovery Following Nervous System Injury  \nThe public is welcome to attend virtually via Bluejeans.
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-implantable-micro-tissue-engineered-nerve-grafts-to-maintain-regenerative-capacity-and-facilitate-functional-recovery-following-nervous-system-injury-justin-burrell/
LOCATION:PA
CATEGORIES:Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201217T100000
DTEND;TZID=America/New_York:20201217T110000
DTSTAMP:20260407T054520
CREATED:20201201T181615Z
LAST-MODIFIED:20201201T181615Z
UID:10006553-1608199200-1608202800@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Structural and Mechanical Responses to Intermittent Parathyroid Hormone Treatment\, Discontinuation\, and Cyclic Administration Regimens"
DESCRIPTION: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 techniques and localized cellular activities. Due to observing a continuous anabolic window upon early discontinuation of PTH treatment in estrogen-deficient animals\, we propose a potential effective treatment strategy\, the short cycles of PTH and antiresorptive treatment regimen\, which could extend the anabolic windows by increasing the number of newly activated modeling-based bone formation (MBF) sites. Lastly\, to understand the structure-function relationships of bone tissue formed through MBF compared to the remodeling-based bone formation (RBF)\, we developed an innovative imaging platform with a mechanical testing platform to determine the mechanical properties of MBF and RBF and their long-term contributions in intact animals.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-discontinuation-of-intermittent-parathyroid-hormone-and-potential-osteoporosis-treatment-strategy/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
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