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DTSTART;TZID=America/New_York:20230124T100000
DTEND;TZID=America/New_York:20230124T233000
DTSTAMP:20260405T021019
CREATED:20230118T143143Z
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SUMMARY:MEAM Seminar: "Toward Physics-informed Machine Intelligence via Graph Discovery"
DESCRIPTION:Advances in machine learning and reduced-order modeling are rendering construction of digital twins for complex systems possible. We are using these tools to perform scientific discovery\, design optimization\, and data-informed decision making in diverse applications. In this talk we (1) show how graphs may be used to build robust digital twins in high-consequence engineering settings and (2) present ongoing work developing them to perform AI-enhanced scientific discovery. The long-term objective of this work is to use ML not just to identify patterns/surrogates from data\, but to emulate human-like cognition linking physics to interpretable causal mechanisms. \nFirst\, ML-accelerated multiphysics models require mathematical foundations (stability/accuracy/structure-preservation) to reliably couple component models together into a digital twin. We introduce a finite element exterior calculus to discover structure-preserving Whitney forms. This learning framework reveals physically-relevant control volumes with accompanying integral balance laws which naturally encode physical structure in terms of a graph. The resulting models provide speedups of 10000x for multiscale problems while providing stability and conservation guarantees associated with traditional finite element-based simulation. With a predictive digital twin in hand\, we next sketch how they can be used to reveal causal relationships in large multimodal datasets. Multimodal scientific data may be combined and embedded into directed acyclic graphs which encode interpretable causal relationships. Unsupervised discovery of causal graphs provide a means of identifying exploitable scientific relationships or precursors to failure/rare events.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-toward-physics-informed-machine-intelligence-via-graph-discovery/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230124T123000
DTEND;TZID=America/New_York:20230124T133000
DTSTAMP:20260405T021019
CREATED:20230106T154510Z
LAST-MODIFIED:20230106T154510Z
UID:10007416-1674563400-1674567000@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "3D Functional Mesostructures: From Neural Interfaces to Environmental Monitors"
DESCRIPTION:Complex\, three dimensional (3D) micro/nanostructures in biology provide sophisticated\, essential functions in even the most basic forms of life. Compelling opportunities exist for analogous 3D structures in man-made devices\, but existing design options are highly constrained by comparatively primitive capabilities in fabrication and growth. Recent advances in mechanical engineering and materials science provide broad access to diverse\, highly engineered classes of 3D architectures\, with characteristic dimensions that range from nanometers to centimeters and areas that span square centimeters or more. The approach relies on geometric transformation of preformed two dimensional (2D) precursor micro/nanostructures and/or devices into extended 3D layouts by controlled processes of substrate-induced compressive buckling\, where the bonding configurations\, thickness distributions and other parameters control the final configurations. This talk reviews the key concepts and focuses on the most recent developments with example applications in areas ranging from mesoscale microfluidic/electronic networks as neural interfaces\, to bio-inspired colorimetric microfliers as environmental sensing platforms.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-with-john-rogers-northwestern-title-tbd/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230125T120000
DTEND;TZID=America/New_York:20230125T133000
DTSTAMP:20260405T021019
CREATED:20230104T182933Z
LAST-MODIFIED:20230104T182933Z
UID:10007397-1674648000-1674653400@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: What makes learning to control easy or hard?\, Nikolai Matni (University of Pennsylvania)
DESCRIPTION:Presentation Abstract: \nDesigning autonomous systems that are simultaneously high-performing\, adaptive\, and provably safe remains an open problem.  In this talk\, we will argue that in order to meet this goal\, new theoretical and algorithmic tools are needed that blend the stability\, robustness\, and safety guarantees of robust control with the flexibility\, adaptability\, and performance of machine and reinforcement learning.  We will highlight our progress towards developing such a theoretical foundation of robust learning for safe control in the context of two case studies: (i) characterizing fundamental limits of learning-enabled control\, and (ii) developing novel robust imitation learning algorithms with sample-complexity guarantees.  In both cases\, we will emphasize the interplay between robust learning\, robust control\, and robust stability and their consequences on the sample-complexity and generalizability of the resulting learning-based control algorithms.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-nikolai-matni-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:20230125T153000
DTEND;TZID=America/New_York:20230125T163000
DTSTAMP:20260405T021019
CREATED:20230119T152806Z
LAST-MODIFIED:20230119T152806Z
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SUMMARY:CBE/BE Seminar: "Targeting Sugars for Immunotherapy in Cancer and Beyond" (Jessica Stark\, Stanford)
DESCRIPTION:Co-hosted by the Departments of Chemical and Biomolecular Engineering & Bioengineering. \nNew paradigms to harness the immune system are urgently needed to address unmet needs in human health. I am working to understand and engineer glycoimmunology – the roles of sugars\, or glycans\, in the immune system – to bridge this gap. During my PhD\, I developed a platform called iVAX for rapid and portable production of conjugate vaccines\, a class of FDA-approved vaccines that use glycans to elicit antibacterial immunity. I showed that iVAXderived conjugate vaccines protected mice against lethal pathogen challenge. My iVAX approach has the potential to accelerate development and distribution of vaccines to address emerging drug-resistant bacteria. As a postdoctoral fellow\, I designed antibody-lectin (AbLec) chimeras to target glycans that act as immune checkpoints in cancer. I showed that AbLecs potentiated tumor killing by binding and blocking tumor-associated glycans that otherwise inhibit anti-cancer immune responses. AbLecs represent a new modality of cancer immunotherapy that promises to increase the fraction of patients who benefit from treatment. My independent group will work to realize the full potential of glycoimmunology for human health\, by developing new immunotherapy modalities and uncovering new drug targets.While we will initially focus on fundamental questions and therapeutic applications in cancer\, in the long term we will apply our synergistic platform technologies to additional therapeutic contexts\, including autoimmunity\, infection\, and neurodegeneration.
URL:https://seasevents.nmsdev7.com/event/cbe-be-seminar-targeting-sugars-for-immunotherapy-in-cancer-and-beyond-jessica-stark-stanford/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Postdoctoral
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230126T100000
DTEND;TZID=America/New_York:20230126T120000
DTSTAMP:20260405T021019
CREATED:20230106T180723Z
LAST-MODIFIED:20230106T180723Z
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SUMMARY:BE Doctoral Dissertation Defense: "Quantitative Methods for Improving Neurostimulation Therapy in Epilepsy" (Brittany Scheid)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Brian Litt are pleased to announce the Doctoral Dissertation Defense of Brittany Scheid.\n\nTitle: QUANTITATIVE METHODS FOR IMPROVING NEUROSTIMULATION THERAPY IN EPILEPSY\n\nDate:  January 26th\, 2023\nTime:  10am\nLocation: Glandt Forum\, Singh Center\n\nZoom Link: https://upenn.zoom.us/j/92066299273\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-quantitative-methods-for-improving-neurostimulation-therapy-in-epilepsy-brittany-scheid/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, 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:20230127T103000
DTEND;TZID=America/New_York:20230127T114500
DTSTAMP:20260405T021019
CREATED:20230120T165355Z
LAST-MODIFIED:20230120T165355Z
UID:10007432-1674815400-1674819900@seasevents.nmsdev7.com
SUMMARY:Spring 2023 GRASP on Robotics: Frank Dellaert\, Georgia Tech\, "Factor Graphs for Perception and Action"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. This week’s presenter will be virtual. \nABSTRACT\nFactor graphs have been very successful in providing a lingua franca in which to phrase robotics perception and navigation problems. In this talk I will re-visit some of those successes\, also discussed in depth in a recent review article. However\, I will focus on our more recent work in the talk\, centered on using factor graphs for *action*. I will discuss our efforts in motion planning\, trajectory optimization\, optimal control\, and model-predictive control\, highlighting SCATE\, our recent work on collision avoidance for autonomous spacecraft.
URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-on-robotics-frank-dellaert/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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:20230127T120000
DTEND;TZID=America/New_York:20230127T130000
DTSTAMP:20260405T021019
CREATED:20230126T172533Z
LAST-MODIFIED:20230126T172533Z
UID:10007448-1674820800-1674824400@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Bio-inspired Design\, Mechanics\, and Manufacturing of Architected Cementitious Materials"
DESCRIPTION:Dr. Moini’s research is focused on bio-inspired design and development of architected materials using novel additive manufacturing processes and automated robotic technologies for applications in civil and energy infrastructure. His work is motivated by the intellectual challenge of understanding the mechanics of intrinsically brittle engineering materials and the development of ductile and flaw-tolerant responses using biomimetic design principles and new material assemblies. Such materials can provide advanced functionality and damage-tolerant behaviors and allow for asking interesting questions about the interplay between desired materials properties such as toughness and strength. Dr. Moini’s other areas of research include integrated multi-component autonomous manufacturing\, early-age deformations of colloidal materials in additive processes\, packing and solidification of particulate systems\, and applying interior tomography techniques to understand the processing-structure-function relationships in architected and additively manufactured brittle ceramic and cement-based materials.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-bio-inspired-design-mechanics-and-manufacturing-of-architected-cementitious-materials/
LOCATION:LRSM Reading Room\, 3231 Walnut St.\, 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:20230127T140000
DTEND;TZID=America/New_York:20230127T150000
DTSTAMP:20260405T021019
CREATED:20230105T155158Z
LAST-MODIFIED:20230105T155158Z
UID:10007406-1674828000-1674831600@seasevents.nmsdev7.com
SUMMARY:PICS Seminar: "Computational fluid dynamics for slurry rheology in flow battery and underlying drag-reduction mechanisms in turbulent flow control"
DESCRIPTION:Email jnespos@seas.upenn.edu for the Zoom link. \nThis talk will start by introducing diverse fluid-mechanics research conducted in the Park research group\, including complex fluids\, electrokinetics\, biofluids\, transition-to-turbulence\, and turbulent flow. I will then focus on two projects at very different flow regimes. For both projects\, the modeling\, analysis\, and computation will be presented along with their engineering applications. The first project is dedicated to a creeping flow or Stokes flow\, where dynamics and rheology of highly conductive particle suspensions in an electric field are investigated to help design flow battery slurries. Notably\, the negative particle pressure is found to arise at high concentrations\, which could be considered a first-of-its-kind in such particle systems. The second project is dedicated to a high-speed flow or turbulent flow\, where three flow-control methods are investigated to elucidate their underlying drag-reduction mechanisms. These methods include imposing an external body force\, adding long-chain polymers\, and utilizing slip surfaces. A temporal analysis based on high- and low-drag periods is employed\, showing that the polymer and slip methods exhibit a similar mechanism\, while the body force method is different. I will conclude by providing the implications of these different drag-reduction mechanisms.
URL:https://seasevents.nmsdev7.com/event/pics-seminar-computational-fluid-dynamics-for-slurry-rheology-in-flow-battery-and-underlying-drag-reduction-mechanisms-in-turbulent-flow-control/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230127T160000
DTEND;TZID=America/New_York:20230127T170000
DTSTAMP:20260405T021019
CREATED:20230106T144325Z
LAST-MODIFIED:20230106T144325Z
UID:10007413-1674835200-1674838800@seasevents.nmsdev7.com
SUMMARY:P.E.S.T.L.E. Orientation - January 27
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/p-e-s-t-l-e-orientation-january-27/
LOCATION:https://upenn.zoom.us/j/96715197752
ORGANIZER;CN="PESTLE":MAILTO:pestle@seas.upenn.edu
END:VEVENT
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