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DTSTART;TZID=America/New_York:20220801T103000
DTEND;TZID=America/New_York:20220801T120000
DTSTAMP:20260405T175516
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SUMMARY:MEAM Ph.D. Thesis Defense: "Imperfect Adhesion Between Elastic Solids"
DESCRIPTION:Surface force-mediated adhesion\, i.e. via van der Waals forces\, is critical for the direct bonding of bulk solids in the absence of an adhesive layer. However\, no two surfaces are perfectly flat nor conformal and some have intentional patterns\, which leads to imperfect adhesion\, i.e. interface adhesion strength that is below its ideal strength. In the case of non-conformal patterned interface\, regions of tensile and compressive stresses exist in the adhered solids at the equilibrium state. Imperfect adhesion also can arise from edge effects. The understanding of imperfect adhesion is important in controlling interfacial strength and toughness for various applications including MEMS/NEMS\, micro-transfer printing\, and soft robotic grippers. \nThe overall goal of this thesis is to investigate the mechanics of surface force-mediated adhesion by examining the interplay between intrinsic traction-separation relation (TSR)\, interface topography\, and elastic bulk properties. The TSR developed accounts for strong repulsion to avoid material interpenetration. The effective interface properties\, including the overall adhesion strength and work of separation\, are determined from numerical calculations using finite element analysis. \nThe first study exploits surface patterning for adhesion control. A cohesive model for a periodic unit cell with non-conformal patterned interfaces is developed to analyze the joint effects of non-uniform interface separation and elastic bulk deformation. The second study investigates edge effects. In general\, interface shear tractions coupled with Poisson contraction reduces the interface adhesion significantly and result in fracture-based failure. Understanding the interaction between the normal and the shear tractions is important but has not been studied extensively thus far. The second study concerns the detachment of an elastic pillar from a rigid substrate. A non-dimensional parameter is defined to describe the transition between strength-based and fracture-based failure. In a third study\, the mechanics that govern interface failure in electroadhesives is investigated using a TSR derived from Coulomb’s law. This last study highlights the importance of interface crack growth in the design of electroadhesives through modeling an elastic cylinder electrostatically adhered to a rigid substrate. The adhesion strength of the electroadhesives becomes imperfect when a non-dimensional parameter reaches a critical value.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-imperfect-adhesion-between-elastic-solids/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220802T100000
DTEND;TZID=America/New_York:20220802T113000
DTSTAMP:20260405T175516
CREATED:20220719T203544Z
LAST-MODIFIED:20220719T203544Z
UID:10007216-1659434400-1659439800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Neural Network Assisted Open Boundaries for Molecular Dynamics Simulations"
DESCRIPTION:Molecular dynamics simulations allow for the visualization and analysis of atoms and molecules. The choice of boundary conditions in these simulations can impact the overall system\, and is an important design decision. In particular\, open boundary molecular dynamics simulations is one type of methodology that allows for the treatment of atomistic models with non equilibrium conditions. In this seminar\, I introduce an approach to the treatment of open boundaries using machine learning. A neural network-assisted design will be presented that can emulate the physics and reduce the computational cost of open boundary simulations. Particle influxes and neural network-derived forces are applied at the boundaries of an open domain consisting of explicitly modeled Lennard-Jones atoms in order to represent the effects of an unmodeled surrounding fluid. Canonical ensemble simulations with periodic boundaries are used to train the neural network and to sample boundary fluxes. The method\, as implemented in the LAMMPS molecular simulation package\, yields results comparable to those calculated using periodic molecular dynamics and runs two orders of magnitude faster than a comparable grand canonical molecular dynamics system.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-neural-network-assisted-open-boundaries-for-molecular-dynamics-simulations/
LOCATION:Towne 313\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220805T120000
DTEND;TZID=America/New_York:20220805T130000
DTSTAMP:20260405T175516
CREATED:20220628T170422Z
LAST-MODIFIED:20220628T170422Z
UID:10007204-1659700800-1659704400@seasevents.nmsdev7.com
SUMMARY:Quantum Engineering Summer Seminar Series: Prineha Narang\, PhD [computational quantum dynamics] (Harvard University)
DESCRIPTION:About the Series: The Quantum Engineering Summer Seminar Series is hosted by the Quantum Engineering Graduate Association (QEGA) every Friday at 12:00 – 1:00 pm EDT throughout the summer months and will be followed by a separate Fall series. The series invites leading world leading experts across academia\, industry\, and government working on experimental\, theoretical\, and policy aspects of quantum science and engineering. Each seminar will be followed by a 10 minute networking session with the invited speaker. \nSpeaker List: \nJuly 8th\, 2022 – Jon Felbinger\, PhD [private-public partnerships] (Quantum Economic Development Consortium) \nJuly 15th\, 2022 – William Oliver\, PhD [superconducting qubits] (MIT and MIT Lincoln Labs) \nJuly 22nd\, 2022 – Sinead Griffin\, PhD [novel qubit materials design] (Lawrence Berkeley National Laboratory) \nJuly 29th\, 2022 – Hannes Bernien\, PhD [trapped ion systems] (University of Chicago) \nAugust 5th\, 2022 – Prineha Narang\, PhD [computational quantum dynamics] (Harvard University) \nAugust 12th\, 2022 – Peter McMahon\, PhD [quantum annealing] (Cornell University) \nAugust 19th\, 2022 – Nick Bronn\, PhD [NISQ era quantum computing] (IBM) \nAugust 26th\, 2022 – Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti) \nMeeting Information: The seminar series will be a hybrid event with talks broadcasted on campus (Wu and Chen Auditorium\, Levine Hall) and available online via Zoom. The Zoom link will be posted weekly for each individual talk. \nJoin QEGA: The Quantum Engineering Graduate Association (QEGA) is a new organization at Penn founded by Nima Leclerc and Noah Johnson\, two Penn ESE PhD students in the Sigillito Group. QEGA’s goal is to increase graduate student and faculty engagement in quantum engineering at Penn through school-wide events such as this seminar series\, quantum-career networking opportunities\, and a quantum engineering outreach program program. If you would like to stay connected with us\, please email Nima at nleclerc@seas.upenn.edu with the subject line ‘qega listserv’ to get added to our mailing list!
URL:https://seasevents.nmsdev7.com/event/quantum-engineering-summer-seminar-series-prineha-narang-phd-computational-quantum-dynamics-harvard-university/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220809T100000
DTEND;TZID=America/New_York:20220809T113000
DTSTAMP:20260405T175516
CREATED:20220727T174359Z
LAST-MODIFIED:20220727T174359Z
UID:10007219-1660039200-1660044600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Data-Driven Model Discovery for Non-equilbrium Processes via Stochastic Thermomechanics"
DESCRIPTION:Non-equilibrium phenomena are ubiquitous across material systems and of great technological relevance. Examples of such phenomena include diffusion processes in liquid and gases\, viscoelasticity and plasticity in solids\, and rheological behavior of colloidal and granular media. Despite their ubiquity and importance\, the understanding of non-equilibrium phenomena remains in its infancy compared with classical equilibrium thermodynamics and statistical mechanics from both theoretical and computational aspects. As a consequence\, current modeling and simulation strategies\, including multiscale paradigms\, are mostly trapped within a compromise between computational efficiency and physical fidelity. \nIn this talk\, I will leverage several different recent advances in non-equilibrium physics\, together with emerging machine learning techniques\, to develop data-driven computational strategies for learning continuum evolution equations. First\, I will present a new strategy for continuum model discovery to systems that have both a reversible (elastic) and dissipative evolution\, by using fluctuation theorems\, particularly\, the Jarzynski equality. Second\, I will talk about a proposed machine learning architecture called Variational Onsager Neural Networks (VONNs) to learn the non-equilibrium evolution PDEs based on the Onsager’s variational approach. Finally\, I will introduce a statistical mechanics framework with quantified uncertainty to extrapolate material behavior to different loading conditions (including far-from-equilibrium conditions) or material systems.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-data-driven-model-discovery-for-non-equilbrium-processes-via-stochastic-thermomechanics/
LOCATION:Towne 313\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220812T120000
DTEND;TZID=America/New_York:20220812T130000
DTSTAMP:20260405T175516
CREATED:20220628T170553Z
LAST-MODIFIED:20220628T170553Z
UID:10007205-1660305600-1660309200@seasevents.nmsdev7.com
SUMMARY:Quantum Engineering Summer Seminar Series: Peter McMahon\, PhD [quantum annealing] (Cornell University)
DESCRIPTION:About the Series: The Quantum Engineering Summer Seminar Series is hosted by the Quantum Engineering Graduate Association (QEGA) every Friday at 12:00 – 1:00 pm EDT throughout the summer months and will be followed by a separate Fall series. The series invites leading world leading experts across academia\, industry\, and government working on experimental\, theoretical\, and policy aspects of quantum science and engineering. Each seminar will be followed by a 10 minute networking session with the invited speaker. \nSpeaker List: \nJuly 8th\, 2022 – Jon Felbinger\, PhD [private-public partnerships] (Quantum Economic Development Consortium) \nJuly 15th\, 2022 – William Oliver\, PhD [superconducting qubits] (MIT and MIT Lincoln Labs) \nJuly 22nd\, 2022 – Sinead Griffin\, PhD [novel qubit materials design] (Lawrence Berkeley National Laboratory) \nJuly 29th\, 2022 – Hannes Bernien\, PhD [trapped ion systems] (University of Chicago) \nAugust 5th\, 2022 – Prineha Narang\, PhD [computational quantum dynamics] (Harvard University) \nAugust 12th\, 2022 – Peter McMahon\, PhD [quantum annealing] (Cornell University) \nAugust 19th\, 2022 – Nick Bronn\, PhD [NISQ era quantum computing] (IBM) \nAugust 26th\, 2022 – Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti) \nMeeting Information: The seminar series will be a hybrid event with talks broadcasted on campus (Wu and Chen Auditorium\, Levine Hall) and available online via Zoom. The Zoom link will be posted weekly for each individual talk. \nJoin QEGA: The Quantum Engineering Graduate Association (QEGA) is a new organization at Penn founded by Nima Leclerc and Noah Johnson\, two Penn ESE PhD students in the Sigillito Group. QEGA’s goal is to increase graduate student and faculty engagement in quantum engineering at Penn through school-wide events such as this seminar series\, quantum-career networking opportunities\, and a quantum engineering outreach program program. If you would like to stay connected with us\, please email Nima at nleclerc@seas.upenn.edu with the subject line ‘qega listserv’ to get added to our mailing list!
URL:https://seasevents.nmsdev7.com/event/quantum-engineering-summer-seminar-series-peter-mcmahon-phd-quantum-annealing-cornell-university/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220816T100000
DTEND;TZID=America/New_York:20220816T113000
DTSTAMP:20260405T175516
CREATED:20220811T131353Z
LAST-MODIFIED:20220811T131353Z
UID:10007222-1660644000-1660649400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Toward Agile Legged Locomotion in a Novel Quadrupedal Robot with an Axially Twisting Spine"
DESCRIPTION:With the advent of more capable and cheaper legged robots\, robotic legged locomotion is becoming an increasingly attractive solution for locomotion and embodiment. Legs offer expanded capability over wheeled robots\, albeit at the cost of complexity and efficiency. For example\, walking robots explore rubble-filled caves\, inspect industrial sites\, move around human spaces (e.g.\, stairs)\, and travel in natural environments. Still\, the current capabilities of most robots pale in comparison to most biological-legged locomotors. For instance\, the arboreal squirrel can run from branch to branch\, climb up and down trees\, and leap from surface to surface\, composing strings of maneuvers without slowing or stopping. Taking biology as inspiration\, collaborations with mathematicians\, biomechanists\, paleontologists\, and geologists help us distill down the essential locomotor primitives and morphologies for new\, more agile\, quadrupedal robots. \nMy research focuses on the benefits of adding novel internal degrees of freedom to quadrupeds (namely an axially twisting spine)\, especially in spatial\, transitional maneuvers. In this talk\, I will show some results and preliminary work using physical models and optimization to suggest that investigating spinal degrees of freedom is vital in opening up the capabilities of legged quadrupeds. Next\, I will introduce a novel quadrupedal robot\, Twist\, walk through its design process\, describe the context of its design\, and elaborate on some questions we hope to solve within and outside the field of robotics. Finally\, I will discuss my work toward these transitional (parkour) behaviors in robotics\, particularly regarding moving from a sagittal plane model and robot to an intrinsically spatial\, three-dimensional model and robot.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-toward-agile-legged-locomotion-in-a-novel-quadrupedal-robot-with-an-axially-twisting-spine/
LOCATION:Towne 313\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Doctoral
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220819T120000
DTEND;TZID=America/New_York:20220819T130000
DTSTAMP:20260405T175516
CREATED:20220628T170725Z
LAST-MODIFIED:20220628T170725Z
UID:10007206-1660910400-1660914000@seasevents.nmsdev7.com
SUMMARY:Quantum Engineering Summer Seminar Series: Nick Bronn\, PhD [NISQ era quantum computing] (IBM)
DESCRIPTION:About the Series: The Quantum Engineering Summer Seminar Series is hosted by the Quantum Engineering Graduate Association (QEGA) every Friday at 12:00 – 1:00 pm EDT throughout the summer months and will be followed by a separate Fall series. The series invites leading world leading experts across academia\, industry\, and government working on experimental\, theoretical\, and policy aspects of quantum science and engineering. Each seminar will be followed by a 10 minute networking session with the invited speaker. \nSpeaker List: \nJuly 8th\, 2022 – Jon Felbinger\, PhD [private-public partnerships] (Quantum Economic Development Consortium) \nJuly 15th\, 2022 – William Oliver\, PhD [superconducting qubits] (MIT and MIT Lincoln Labs) \nJuly 22nd\, 2022 – Sinead Griffin\, PhD [novel qubit materials design] (Lawrence Berkeley National Laboratory) \nJuly 29th\, 2022 – Hannes Bernien\, PhD [trapped ion systems] (University of Chicago) \nAugust 5th\, 2022 – Prineha Narang\, PhD [computational quantum dynamics] (Harvard University) \nAugust 12th\, 2022 – Peter McMahon\, PhD [quantum annealing] (Cornell University) \nAugust 19th\, 2022 – Nick Bronn\, PhD [NISQ era quantum computing] (IBM) \nAugust 26th\, 2022 – Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti) \nMeeting Information: The seminar series will be a hybrid event with talks broadcasted on campus (Wu and Chen Auditorium\, Levine Hall) and available online via Zoom. The Zoom link will be posted weekly for each individual talk. \nJoin QEGA: The Quantum Engineering Graduate Association (QEGA) is a new organization at Penn founded by Nima Leclerc and Noah Johnson\, two Penn ESE PhD students in the Sigillito Group. QEGA’s goal is to increase graduate student and faculty engagement in quantum engineering at Penn through school-wide events such as this seminar series\, quantum-career networking opportunities\, and a quantum engineering outreach program program. If you would like to stay connected with us\, please email Nima at nleclerc@seas.upenn.edu with the subject line ‘qega listserv’ to get added to our mailing list!
URL:https://seasevents.nmsdev7.com/event/quantum-engineering-summer-seminar-series-nick-bronn-phd-nisq-era-quantum-computing-ibm/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220823T100000
DTEND;TZID=America/New_York:20220823T113000
DTSTAMP:20260405T175516
CREATED:20220809T131939Z
LAST-MODIFIED:20220809T131939Z
UID:10007220-1661248800-1661254200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Disease Indicator Prediction in Vascular Flows via Physics-Informed Deep Learning"
DESCRIPTION:Unlike diseases with strong genetic predisposition\, such as cancer\, there exist no accurate personalized diagnostic tools for disorders such as Hypertensive Pregnancy Disorders (HPD) and its mechanism remain understudied. For the purpose of performing diagnostics\, we require disease indicators (biomarkers) that are strongly correlated with the underlying condition\, i.e. absolute vascular pressure for hypertension. Measuring absolute pressure requires an invasive procedure and it is impossible for small vessels and in pregnant subjects\, but an informed estimate is possible via the use of Computational Fluid Dynamics. Computational Fluid Dynamics can also be employed for studying the relation between disease outcomes and biomarkers\, by constructing virtual representations of a human body called Digital Twins and performing simulations for different parameters. Unfortunately the computational cost of CFD is very high thus studying the physiology of large cohorts of patients or making real time predictions is impossible. Therefore\, fast surrogates that generalize across different patients and parameters are required. \nIn this talk\, I will leverage aspects of both computational mechanics and deep learning to develop methods for predicting complex biomarkers that cannot be measured in the clinic\, such as absolute pressure\, for performing patient specific diagnostics. First\, I will discuss the feasibility of estimating vascular parameters for assessing Hypertensive Pregnancy Disorders using a combination of Bayesian inference and a reduced order Navier-Stokes model and show that despite the accuracy of this procedure\, its computational complexity makes it impossible to be employed in clinical practice. Second\, I will discuss leveraging Physics-Informed Neural Networks (PINNs) for designing Deep Learning surrogates to alleviate computational drawbacks of the above pipeline for one patient. Third\, I will discuss machine learning inference in function spaces\, called Operator Learning\, and more specifically the LOCA method and the potential of online biomarker predictions for different patients employing operator learning on manifolds and quantifying the uncertainty of predictions.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-disease-indicator-prediction-in-vascular-flows-via-physics-informed-deep-learning/
LOCATION:Towne 313\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220823T100000
DTEND;TZID=America/New_York:20220823T140000
DTSTAMP:20260405T175516
CREATED:20220822T145428Z
LAST-MODIFIED:20220822T145428Z
UID:10007231-1661248800-1661263200@seasevents.nmsdev7.com
SUMMARY:CBE Dissertation Defense: "Visualizing Genetics: Quantifying Gene Expression Through Genetic and Epigenetic Modifications"
DESCRIPTION:“Visualizing Genetics: Quantifying Gene Expression Through Genetic and Epigenetic Modifications” \nAbstract: \nPrecise control over gene expression is essential for proper development of an organism. However\, genes are regulated in a variety of ways\, the mechanisms of which are not well understood. This thesis explores gene regulation at two different levels: genetic control and epigenetic control. Genetic control focuses on components of the genome such as enhancers\, promoters\, gene composition\, and gene length. Each of these facets can potentially affect either the timing\, amount\, or location of gene expression. Epigenetic control looks at how different DNA markers\, which do not modify the DNA sequence\, are able to manipulate gene production. Using quantitative live-imaging in Drosophila embryos and immunofluorescence staining in human fibroblasts\, we are able to capture and analyze the impact each of these factors have on gene expression. In genetic control\, we see that enhancers play a dominant role in controlling expression\, specifically through the individual transcription factor binding sites within an enhancer. Based on the binding affinity and type of binding site\, the enhancer can influence when genes are active as well as the amount of mRNA produced. The level of mRNA production is also influenced by the rate of RNA polymerase II (Pol II) elongation. The speed that Pol II moves along a gene body can impact how much mRNA is made within a certain developmental time period. We find that not only do enhancers play a role in controlling Pol II elongation rate\, but the composition of the gene itself also contributes to modulating the rate of elongation. In epigenetic control\, there are many different markers interacting with DNA. Here we identified H3K9me3 as a key epigenetic modification that controls DNA compaction\, and thus can silence a large number of genes. As a result\, specific epigenetic markers can ultimately control gene expression and dramatically impact a cell’s ability to reprogram itself. Slight changes in gene regulatory mechanisms can cause extreme changes in gene expression and ensuring that organisms develop properly is contingent upon having a better understanding of how different factors influence expression.
URL:https://seasevents.nmsdev7.com/event/cbe-dissertation-defense-visualizing-genetics-quantifying-gene-expression-through-genetic-and-epigenetic-modifications/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220823T150000
DTEND;TZID=America/New_York:20220823T170000
DTSTAMP:20260405T175516
CREATED:20220819T162454Z
LAST-MODIFIED:20220819T162454Z
UID:10007230-1661266800-1661274000@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Molecular Imaging Biomarkers and Regulation Approaches for Next-Generation Cellular Therapies" (Iris Lee)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Mark Sellmeyer are pleased to announce the Doctoral Dissertation Defense of Iris Lee.\n \nTitle: Molecular Imaging Biomarkers and Regulation Approaches for Next-Generation Cellular Therapies\nDate: Tuesday\, August 23rd\, 2022\nTime: 3 PM ET\nLocation: Biomedical Research Building (BRB) 0252\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-molecular-imaging-biomarkers-and-regulation-approaches-for-next-generation-cellular-therapies-iris-lee/
LOCATION:BRB 0252
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220825T100000
DTEND;TZID=America/New_York:20220825T113000
DTSTAMP:20260405T175516
CREATED:20220819T162002Z
LAST-MODIFIED:20220819T162002Z
UID:10007229-1661421600-1661427000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "High-performance Electroadhesives for Materials and Robots with Programmable Stiffness"
DESCRIPTION:Materials with electroprogrammable stiffness and adhesion can enhance the performance of robotic systems but achieving large changes in stiffness and adhesive forces in real time is an ongoing challenge. Electroadhesive clutches can rapidly adhere high stiffness elements\, although their low force capacities\, high activation voltages\, and inability to separate and turn off stiffness changes reliably have limited their applications. A major challenge in realizing stronger electroadhesive clutches is that current parallel-plate models poorly predict clutch force capacity and cannot be used to design better devices. Furthermore\, soft material interfaces have not been utilized for stronger electroadhesive clutches due to latent adhesion at the contact interface that prevents programmable release. \nIn this talk\, a fracture mechanics framework to understand the relationship between clutch design\, force capacity and contact area is discussed. This mechanics-based framework predicts clutch performance across multiple geometries and applied voltages. Based on this approach\, a Coulombic electrostatic clutch with 94 times the force capacity per unit electrostatic force of state-of-the-art electroadhesive clutches is realized. These electroadhesive clutches are used to increase the load capacity of a soft\, pneumatic finger by a factor of 62 times compared to a finger without an electroadhesive. Finally\, this mechanics-based design methodology is applied to the design of low-voltage ionoelastomer clutches with soft material interfaces for wearable robotic applications with increased force capacities and programmable release at reduced device sizes.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-high-performance-electroadhesives-for-materials-and-robots-with-programmable-stiffness/
LOCATION:Towne 313\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Doctoral
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220826T120000
DTEND;TZID=America/New_York:20220826T130000
DTSTAMP:20260405T175516
CREATED:20220628T170908Z
LAST-MODIFIED:20220628T170908Z
UID:10007207-1661515200-1661518800@seasevents.nmsdev7.com
SUMMARY:Quantum Engineering Summer Seminar Series: Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti)
DESCRIPTION:About the Series: The Quantum Engineering Summer Seminar Series is hosted by the Quantum Engineering Graduate Association (QEGA) every Friday at 12:00 – 1:00 pm EDT throughout the summer months and will be followed by a separate Fall series. The series invites leading world leading experts across academia\, industry\, and government working on experimental\, theoretical\, and policy aspects of quantum science and engineering. Each seminar will be followed by a 10 minute networking session with the invited speaker. \nSpeaker List: \nJuly 8th\, 2022 – Jon Felbinger\, PhD [private-public partnerships] (Quantum Economic Development Consortium) \nJuly 15th\, 2022 – William Oliver\, PhD [superconducting qubits] (MIT and MIT Lincoln Labs) \nJuly 22nd\, 2022 – Sinead Griffin\, PhD [novel qubit materials design] (Lawrence Berkeley National Laboratory) \nJuly 29th\, 2022 – Hannes Bernien\, PhD [trapped ion systems] (University of Chicago) \nAugust 5th\, 2022 – Prineha Narang\, PhD [computational quantum dynamics] (Harvard University) \nAugust 12th\, 2022 – Peter McMahon\, PhD [quantum annealing] (Cornell University) \nAugust 19th\, 2022 – Nick Bronn\, PhD [NISQ era quantum computing] (IBM) \nAugust 26th\, 2022 – Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti) \nMeeting Information: The seminar series will be a hybrid event with talks broadcasted on campus (Wu and Chen Auditorium\, Levine Hall) and available online via Zoom. The Zoom link will be posted weekly for each individual talk. \nJoin QEGA: The Quantum Engineering Graduate Association (QEGA) is a new organization at Penn founded by Nima Leclerc and Noah Johnson\, two Penn ESE PhD students in the Sigillito Group. QEGA’s goal is to increase graduate student and faculty engagement in quantum engineering at Penn through school-wide events such as this seminar series\, quantum-career networking opportunities\, and a quantum engineering outreach program program. If you would like to stay connected with us\, please email Nima at nleclerc@seas.upenn.edu with the subject line ‘qega listserv’ to get added to our mailing list!
URL:https://seasevents.nmsdev7.com/event/quantum-engineering-summer-seminar-series-riccardo-manenti-phd-scalable-quantum-computing-systems-rigetti/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220901T103000
DTEND;TZID=America/New_York:20220901T113000
DTSTAMP:20260405T175516
CREATED:20220826T183342Z
LAST-MODIFIED:20220826T183342Z
UID:10007235-1662028200-1662031800@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Microstructural Design Principles for Achieving Stable Electrochemical Interfaces for Metal Anodes"
DESCRIPTION:Lithium metal battery systems (LMBs) are being sought as an ultimate replacement to LIBs\, potentially increasing the cell energy by over fifty percent due to the high capacity and low voltage of the metal anode. Analogous improvement in energy is possible with sodium metal batteries (NMBs) and with potassium metal batteries (KMBs)\, where existing ion insertion anodes can be replaced by plating/stripping metal. However\, in all three cases safety and performance are compromised by an unstable solid electrolyte interphase (SEI) that consumes metal ions and electrolyte\, and ultimately leads to dendrites. This presentation provides a series of case studies derived from the group’s LMB\, NMB and KMB research on the microstructural design principles that provide for long-term cycling and fast-charge stability of metal anodes. The approaches may be categorized as the following:  a) design of plating/stripping supports and templates with tuned geometry and functionality; b) design of secondary interlayers placed between the metal anode and the separator; and c) design of multifunctional hybrid separators to replace the conventional polymer separators employed with LIBs. It is demonstrated that despite appearing distinct\, the efficacy of each in enabling electrochemical stability originates from three fundamental features that are directly interrelated. The wetting behavior of the electrolyte on the anode must be optimized\, the wetting/stripping behavior of the metal anode on the current collector must be controlled\, and a geometrically and chemically modified SEI must be established. Simultaneously achieving all three leads to stable plating/stripping\, while missing even one leads to rapid dendrite growth. Cryogenic FIB cross sections and cryo-TEM are combined to yield new insight regarding film wetting behavior and early dendrite formation in optimized versus baseline specimens\, analyzing growth in several representative electrolytes.
URL:https://seasevents.nmsdev7.com/event/microstructural-design-principles-for-achieving-stable-electrochemical-interfaces-for-metal-anodes/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220906T100000
DTEND;TZID=America/New_York:20220906T113000
DTSTAMP:20260405T175516
CREATED:20220824T122920Z
LAST-MODIFIED:20220824T122920Z
UID:10007234-1662458400-1662463800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Mechanics Design in Cellulose-Enabled High-Performance Materials toward a Sustainable Future"
DESCRIPTION:The ever-growing world population demands material consumption and drives material discovery. The progress of modern society accompanies the advent of advanced materials to enable new performance and functionalities\, as epitomized by the invention of two most representative man-made materials: steels (4000 years ago) and petroleum-derived plastics (~80 years ago). The widespread use of steels (and other alloys) and plastics as structural and functional materials has radically revolutionized our daily life\, which\, however\, also comes with heavy environmental impacts. The tremendous energy/water cost and carbon footprint of manufacturing steels and the ever-devastating global white pollution due to plastic waste pose grand challenges to the sustainable future of humankind. Aiming to address such grand challenges\, we have been working on developing advanced sustainable materials that hold the promise to replace steels (and alloys) and plastics in recent years. To this end\, we focus particularly on cellulose\, the most abundant biopolymer on Earth\, as the source of sustainable materials. In this talk\, I will showcase a few examples of advanced sustainable materials developed at the Laboratory for Advance Sustainable Materials and Technology at UMD\, including transparent strong and tough cellulose nanopaper to replace plastic foils; superwood as a potential structural material to replace steels and alloys; cellulose-based composites to replace petroleum-derived plastic straws and packaging foam\, etc. These high-performance\, low-cost\, and nature-based advanced materials offer an array of promising material solutions toward a sustainable future.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-mechanics-design-in-cellulose-enabled-high-performance-materials-toward-a-sustainable-future/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220907T120000
DTEND;TZID=America/New_York:20220907T133000
DTSTAMP:20260405T175516
CREATED:20220907T161614Z
LAST-MODIFIED:20220907T161614Z
UID:10007251-1662552000-1662557400@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: Robust and Equitable Uncertainty Estimation (Aaron Roth\, University of Pennsylvania)
DESCRIPTION:Presentation Abstract:  \nMachine learning provides us with an amazing set of tools to make predictions\, but how much should we trust particular predictions? To answer this\, we need a way of estimating the confidence we should have in particular predictions of black-box models. Standard tools for doing this give guarantees that are averages over predictions. For instance\, in a medical application\, such tools might paper over poor performance on one medically relevant demographic group if it is made up for by higher performance on another group. Standard methods also depend on the data distribution being static — in other words\, the future should be like the past. \nIn this talk\, we will describe a new technique to address both these problems: a way to produce prediction sets for arbitrary black-box prediction methods that have correct empirical coverage even when the data distribution might change in arbitrary\, unanticipated ways and such that we have correct coverage even when we zoom in to focus on demographic groups that can be arbitrary and intersecting. \nThis is a joint work with Osbert Bastani\, Varun Gupta\, Christopher Jung\, Georgy Noarov\, and Ramya Ramalingam.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-robust-and-equitable-uncertainty-estimation-aaron-roth-university-of-pennsylvania/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220908T140000
DTEND;TZID=America/New_York:20220908T160000
DTSTAMP:20260405T175516
CREATED:20220902T155412Z
LAST-MODIFIED:20220902T155412Z
UID:10007249-1662645600-1662652800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Sex differences in head impact biomechanics and quantitative functional deficits due to repetitive head loading in high school sports" (Colin Huber)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Kristy Arbogast are pleased to announce the Doctoral Dissertation Defense of Colin Huber.\n \nTitle: Sex differences in head impact biomechanics and quantitative functional deficits due to repetitive head loading in high school sports\nDate: Thursday\, September 8th\, 2022\nTime: 2:00 PM ET\nLocation: Roberts Center for Pediatric Research\, Room 1120B\, 734 Schuylkill Ave\, Philadelphia\, PA 19146 (across South Street Bridge)\nZoom: https://upenn.zoom.us/j/99894194174 \nPasscode: Concussion
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-sex-differences-in-head-impact-biomechanics-and-quantitative-functional-deficits-due-to-repetitive-head-loading-in-high-school-sports-colin-huber/
LOCATION:Room 1120B\, Roberts Center for Pediatric Research\, 2716 South Street\, Philadelphia\, PA\, 19146\, United States
CATEGORIES:Doctoral,Graduate,Student
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220909T100000
DTEND;TZID=America/New_York:20220909T110000
DTSTAMP:20260405T175516
CREATED:20220826T192435Z
LAST-MODIFIED:20220826T192435Z
UID:10007236-1662717600-1662721200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "A Spin-Lattice Dynamics Model with Improved Energy and Angular Momentum Conservation"
DESCRIPTION:Magnetic materials are critically important in a wide range of application areas including data storage\, medicine\, energy harvesting\, and refrigeration. Atomistic numerical simulations of magnetic materials can provide important insight in these applications because they offer the ability to track phenomena such as magnon-phonon interactions\, ultrafast demagnetization processes\, and magnetization and energy at time and length scales that can be difficult to observe experimentally. Spin-lattice dynamics\, a classical atomistic simulation method that models atomic magnetic moments and atomic displacements simultaneously\, is able to capture these phenomena. Unfortunately\, energy stability can be a challenge in spin-lattice dynamics simulations and angular momentum artifacts are a known issue in atomistic models of periodic systems. Both of these problems can cause errors in the evolution of spin orientations and atomic positions\, leading to unphysical predictions of temperature\, magnetization\, and thermal-magnetic coupling in magnetic materials. This dissertation presents an improved computational model for spin-lattice dynamics simulations developed to address the above challenges. The model offers superior energy and magnetization conservation and the ability to quantify lattice angular momentum changes generated by spin relaxation processes in bulk materials. The improvements made in this work advance spin-lattice dynamics as a computational tool for the design and analysis of magnetic materials.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-a-spin-lattice-dynamics-model-with-improved-energy-and-angular-momentum-conservation/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220909T103000
DTEND;TZID=America/New_York:20220909T114500
DTSTAMP:20260405T175516
CREATED:20220907T182509Z
LAST-MODIFIED:20220907T182509Z
UID:10007257-1662719400-1662723900@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP Seminar: GRASP Research Overview - Day 1
DESCRIPTION:GRASP Lab faculty confirmed presentations (where appropriate their presenters)…\n*This is a HYBRID Event with in-person attendance in Wu & Chen Auditorium and virtual attendance via Zoom. \nDr. Mark Yim (Welcome & Introduction)\nDr. Pratik Chaudhari\nDr. Kostas Daniilidis\nDr. Eric Eaton\nDr. Dinesh Jayaraman\nDr. Michelle Johnson (presented by Francis Sowande)\nDr. Michael Posa\nDr. Jianbo Shi
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-seminar-grasp-research-overview-day-1/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220913T100000
DTEND;TZID=America/New_York:20220913T113000
DTSTAMP:20260405T175516
CREATED:20220907T182148Z
LAST-MODIFIED:20220907T182148Z
UID:10007256-1663063200-1663068600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: MEAM Faculty Research Overview
DESCRIPTION:Please join us on Tuesday\, September 13 for a series of short research talks by MEAM faculty.  Five MEAM faculty will give “flash talks” to introduce their research activities and recent work.  This is an excellent opportunity for current graduate students to learn about ongoing research in the Department.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-meam-faculty-research-overview/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220913T140000
DTEND;TZID=America/New_York:20220913T150000
DTSTAMP:20260405T175516
CREATED:20220902T160048Z
LAST-MODIFIED:20220902T160048Z
UID:10007250-1663077600-1663081200@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation: "Biomechanical Evaluation of the Role of Decorin and Biglycan during Neonatal Tendon Development and Healing" (Zak Beach)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Lou Soslowsky are pleased to announce the Doctoral Dissertation Defense of Zak Beach. \nTitle:  Biomechanical Evaluation of the Role of Decorin and Biglycan during Neonatal Tendon Development and Healing \nDate: Tuesday\, September 13\, 2022 \nTime:  2pm-3pm \nLocation: JMB Class of 62 Auditorium
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-biomechanical-evaluation-of-the-role-of-decorin-and-biglycan-during-neonatal-tendon-development-and-healing-zak-beach/
LOCATION:JMB Reunion Auditorium\, 3620 Hamilton Walk\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220914T120000
DTEND;TZID=America/New_York:20220914T133000
DTSTAMP:20260405T175516
CREATED:20220907T163417Z
LAST-MODIFIED:20220907T163417Z
UID:10007253-1663156800-1663162200@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: When Will You Become the Best Reviewer of Your Own Papers? A Truthful Owner-Assisted Scoring Mechanism (Weijie Su\, University of Pennsylvania)
DESCRIPTION:Presentation Abstract:  \nAlice submits a number of papers to a machine learning conference and has knowledge of the quality of her papers. Given noisy grades provided by independent reviewers\, can Bob obtain accurate estimates of the ground-truth quality of the papers by asking Alice a question about the ground truth? In this talk\, we address this when the payoff of Alice is additive convex utility over all her papers. First\, if Alice would truthfully answer the question because by doing so her payoff is maximized\, we show that the questions must be formulated as pairwise comparisons between her papers. Moreover\, if Alice is required to provide a ranking of her papers\, which is the most fine-grained question via pairwise comparisons\, we prove that she would be truth-telling. By incorporating the ground-truth ranking\, we show that Bob can obtain an estimator with the optimal squared error in certain regimes based on any possible ways of truthful information elicitation. Moreover\, the estimated grades are substantially more accurate than the raw grades when the number of papers is large and the raw grades are very noisy. Finally\, we conclude the talk with several extensions and some refinements for practical considerations. This is based on arXiv:2206.08149 and arXiv:2110.14802. \nSpeaker Bio: \nWeijie Su is an Associate Professor in the Wharton Statistics and Data Science Department and\, by courtesy\, in the Department of Computer and Information Science\, at the University of Pennsylvania. He is a co-director of Penn Research in Machine Learning. Prior to joining Penn\, he received his Ph.D. from Stanford University in 2016 and his bachelor’s degree from Peking University in 2011. His research interests span deep learning theory\, privacy-preserving data analysis\, optimization\, and high-dimensional statistics. He is a recipient of the Stanford Theodore W. Anderson Dissertation Award in 2016\, an NSF CAREER Award in 2019\, an Alfred Sloan Research Fellowship in 2020\, the SIAM Early Career Prize in Data Science in 2022\, and the IMS Peter Gavin Hall Prize in 2022.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-when-will-you-become-the-best-reviewer-of-your-own-papers-a-truthful-owner-assisted-scoring-mechanism-weijie-su-university-of-pennsylvania/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220914T150000
DTEND;TZID=America/New_York:20220914T160000
DTSTAMP:20260405T175516
CREATED:20220909T174248Z
LAST-MODIFIED:20220909T174248Z
UID:10007270-1663167600-1663171200@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP SFI: Herbert Tanner\, University of Delaware\, "Networked aerial detection of mobile radiation sources"
DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom here… \nMobile robotic sensor networks promise cutting edge technological solutions to a broad collection of real-world observation\, detection\, and decision-making problems\, in domains ranging from environmental monitoring\, to emergency response\, to national security. Nuclear nonproliferation is a particular domain international implications in the latter area\, framing an active sensing application problem where robots are called to rapidly detect radiological material in transit. Our approach to tackling this engineering challenge is rooted in our conviction that robot control\, estimation\, and decision making are all intrinsically interlinked and necessitate co-design\, where measurement statistics should directly inform robot control and navigation\, and estimation should leverage robot motion planning. The approach led to the development of a networked active sensing architecture for groups of aerial vehicles equipped with commercial off-the-shelf radiation sensors which can achieve an order of magnitude improvement in detection performance over alternative solutions at that time. This success also highlights the importance of model-driven measurement and measurement-informed robot deployment strategies.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-herbert-tanner-university-of-delaware-networked-aerial-detection-of-mobile-radiation-sources/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220914T153000
DTEND;TZID=America/New_York:20220914T163000
DTSTAMP:20260405T175516
CREATED:20220909T195134Z
LAST-MODIFIED:20220909T195134Z
UID:10007271-1663169400-1663173000@seasevents.nmsdev7.com
SUMMARY:CBE Seminar Series: "A Molecular Scale Understanding of Electrified Separations and Catalysis" (Marta Hatzell\, Georgia Institute of Technology)
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-a-molecular-scale-understanding-of-electrified-separations-and-catalysis-marta-hatzell-georgia-institute-of-technology/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220915T103000
DTEND;TZID=America/New_York:20220915T113000
DTSTAMP:20260405T175516
CREATED:20220901T172206Z
LAST-MODIFIED:20220901T172206Z
UID:10007248-1663237800-1663241400@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium - "Steampunk Data Science"
DESCRIPTION:How did scientists make sense of data before statistics and computing? This talk will explore this question by focusing on the discovery of vitamins\, which occurred in the early 20th century just before the advent of modern statistical methodology. I will describe the varied practices in experimentation and reporting and highlight the sorts of insights required to uncover what “works.” Through this discussion\, I will draw connections to contemporary data science tools to illustrate their pros and cons in facilitating discovery.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-steampunk-data-science/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220915T103000
DTEND;TZID=America/New_York:20220915T113000
DTSTAMP:20260405T175516
CREATED:20220908T210846Z
LAST-MODIFIED:20220908T210846Z
UID:10007259-1663237800-1663241400@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Bioinstructive Materials Regulate Inflammation in Cancer and Regeneration"
DESCRIPTION:Fibrosis and remodeling of extracellular matrix are involved in many diseases\, such as tumors\, wound healing\, and chronic inflammation. During fibrosis\, tissues undergo changes in their viscoelastic properties\, i.e.\, how they resist deformation like a solid and dissipate stress over time like a fluid. My research program determines the impact of viscoelasticity on inflammation in fibrotic tissues and develops new immune therapies in cancer and regeneration. I study the role of monocytes\, which infiltrate into tissue and differentiate into phagocytic and antigen-presenting cells\, such as macrophages and dendritic cells. I utilize an artificial extracellular matrix to dissect a mechanical checkpoint of monocyte fate and develop strategies to target monocytes in hematopoietic malignancies and head and neck cancer. Further\, I develop biomaterials that interface with dental tissues to modulate inflammation and support regeneration. Overall\, my long-term goal is to determine how extracellular matrix physically impacts inflammation and to develop therapies targeting immuno-mechanical signaling.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-bioinstructive-materials-regulate-inflammation-in-cancer-and-regeneration/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220915T153000
DTEND;TZID=America/New_York:20220915T163000
DTSTAMP:20260405T175516
CREATED:20220812T143236Z
LAST-MODIFIED:20220812T143236Z
UID:10007223-1663255800-1663259400@seasevents.nmsdev7.com
SUMMARY:BE/MEAM Seminar: "Synthetic Embryology for Constructing Human Embryo and Organ Models" (Jianping Fu\, University of Michigan)
DESCRIPTION:This is a hybrid seminar held in Glandt Forum (Singh Center) and via Zoom. Check email for the zoom link or contact cd0318@seas.upenn.edu. \n“Synthetic Embryology for Constructing Human Embryo and Organ Models” \nEarly human development remains mysterious and difficult to study.  Recent advances in developmental biology\, stem cell biology\, and bioengineering have contributed to a significant interest in constructing stem cell-based models of human embryo and organs (embryoids / organoids).  The controllability and reproducibility of these human development models\, coupled with the ease of genetically modifying stem cell lines\, the ability to manipulate culture conditions and the simplicity of live imaging\, make them robust and attractive systems to disentangle cellular behaviors and signaling interactions that drive human development.  In this talk\, I will describe our effort in using human pluripotent stem cells (hPSCs) to develop controllable models of the peri-implantation embryonic development and neural development.  The peri-implantation human embryoids recapitulate key early post-implantation developmental landmarks successively\, including pro-amniotic cavity formation\, amniotic ectoderm-epiblast patterning\, primordial germ cell specification\, and development of the primitive streak with controlled anteroposterior polarity.  I will further discuss an hPSC-based neuroectoderm patterning model to recapitulate the formation of the neural plate and another more recently developed\, patterned neural tube model with fully defined anterior-posterior and dorsal-ventral axes.  Specifically\, the patterned neural tube model recapitulates neural patterning along two orthogonal axes in a three-dimensional tubular geometry\, offering in vivo-like tissue architecture and spatiotemporal tissue patterning\, promising for studying human neurodevelopment and diseases.
URL:https://seasevents.nmsdev7.com/event/be-meam-seminar-jianping-fu-university-of-michigan/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220916T103000
DTEND;TZID=America/New_York:20220916T114500
DTSTAMP:20260405T175516
CREATED:20220907T182751Z
LAST-MODIFIED:20220907T182751Z
UID:10007258-1663324200-1663328700@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP Seminar: GRASP Research Overview - Day 2
DESCRIPTION:GRASP Lab faculty confirmed presentations (where appropriate their presenters)…\n*This is a HYBRID Event with in-person attendance in Wu & Chen Auditorium and virtual attendance via Zoom. \nDr. Ani Hsieh (Welcome and introductions)\nDr. Nadia Figueroa\nDr. Daniel Koditschek\nDr. Vijay Kumar (presented by Kelsey Saulnier)\nDr. Nik Matni (presented by Thomas Zhang)\nDr. Marc Miskin\nDr. George Pappas (presented by Dr. Lars Lindenmann)\nDr. Cynthia Sung
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-seminar-grasp-research-overview-day-2/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220916T120000
DTEND;TZID=America/New_York:20220916T130000
DTSTAMP:20260405T175516
CREATED:20220920T142355Z
LAST-MODIFIED:20220920T142355Z
UID:10007291-1663329600-1663333200@seasevents.nmsdev7.com
SUMMARY:Theory Seminar- Aaron Roth (University of Pennsylvania)
DESCRIPTION:Abstract: \nDawid gives two conceptualizations for models of individual probabilities: “Group to Individual” and “Individual to Group”. A classical concern about the “Group to Individual” view of probability is the reference class problem: Given that we can empirically measure only averages over many individuals\, which group or “reference class” do we choose to average over when estimating the probability for an individual? Machine Learning on the other hand operates in the “Individual to Group” conceptualization: models purport to assign probabilities to individuals\, which can be aggregated over to obtain group probabilities. Multicalibration gives us a way to obtain models that predict individual probabilities that are consistent with an arbitrary number of reference classes. But (with finite data) it does not solve the “model multiplicity” problem: there may be multiple models that are multicalibrated that assign many people very different individual probabilities. How are we to adjudicate between such models? We argue that if two parties agree on the data distribution\, then they cannot agree to disagree on (very many) individual probabilities\, even given access only to a small number of samples from the distribution. \nJoint work with Alexander Tolbert and Scott Weinstein
URL:https://seasevents.nmsdev7.com/event/theory-seminar-aaron-roth-university-of-pennsylvania/
LOCATION:Room 401B\, 3401 Walnut\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="The Warren Center":MAILTO:Lhoot@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220920T100000
DTEND;TZID=America/New_York:20220920T113000
DTSTAMP:20260405T175516
CREATED:20220822T203637Z
LAST-MODIFIED:20220822T203637Z
UID:10007233-1663668000-1663673400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Open Access Benchmark Datasets and Metamodels for Problems in Mechanics"
DESCRIPTION:Metamodels\, or models of models\, map defined model inputs to defined model outputs. When metamodels are constructed to be computationally cheap\, they are an invaluable tool for applications ranging from topology optimization\, to uncertainty quantification\, to real-time prediction\, to multi-scale simulation. In particular\, for heterogeneous materials\, metamodels are useful for exploring the influence of the (potentially massive) heterogeneous material property parameter space. By nature\, a given metamodel will be tailored to a specific dataset. However\, the most pragmatic metamodel type and structure will often be general to larger classes of problems. At present\, the most pragmatic metamodel selection for dealing with mechanical data — specifically simulations of heterogenous materials — has not been thoroughly explored. In this work\, we draw inspiration from the benchmark datasets available to the computer vision research community. These benchmark datasets have both made it feasible to compare different methods for solving the same problem\, and inspired new directions for method development. In response\, we introduce benchmark datasets for engineering mechanics problems (for example\, the Mechanical MNIST Collection https://open.bu.edu/handle/2144/39371 [1\,2\,3]). Then\, we show some example problems that we are exploring with these datasets such as our methodology for constructing metamodels for predicting full field quantities of interest (e.g.\, full field displacements\, stress\, strain\, or damage variable)\, and for leveraging information from multiple simulation fidelities\, and for predicting out of distribution behavior. Looking forward\, we anticipate that disseminating both these benchmark datasets and our computational methods will enable the broader community of researchers to develop improved techniques for understanding the behavior of spatially heterogeneous materials. We also hope to inspire others to use our datasets for educational and research purposes\, and to disseminate datasets and metamodels specific to their own areas of interest (https://elejeune11.github.io/). \n[1] Lejeune\, E. (2020). Mechanical MNIST: A benchmark dataset for mechanical metamodels. Extreme Mechanics Letters\, 36\, 100659.\n[2] Lejeune\, E.\, & Zhao\, B. (2020). Exploring the potential of transfer learning for metamodels of heterogeneous material deformation. Journal of the Mechanical Behavior of Biomedical Materials\, 104276.\n[3] Mohammadzadeh\, S.\, & Lejeune\, E. (2022). Predicting mechanically driven full-field quantities of interest with deep learning-based metamodels. Extreme Mechanics Letters\, 50\, 101566.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-open-access-benchmark-datasets-and-metamodels-for-problems-in-mechanics/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220920T153000
DTEND;TZID=America/New_York:20220920T163000
DTSTAMP:20260405T175516
CREATED:20220915T134909Z
LAST-MODIFIED:20220915T134909Z
UID:10007289-1663687800-1663691400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Live Programming and Programming by Example: Better Together"
DESCRIPTION:Live programming is a paradigm in which values from program execution are shown to the programmer through continual feedback. Programming by example is a paradigm in which code is synthesized from example values showing a desired behavior. This talk presents some of our recent research that combines these two paradigms in beneficial ways. I will walk through our ideas\, explain our contributions\, discuss what we learned and finally provide thoughts for the future.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-live-programming-and-programming-by-example-better-together/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
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END:VCALENDAR