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DTSTART;TZID=America/New_York:20211108T120000
DTEND;TZID=America/New_York:20211108T130000
DTSTAMP:20260406T125005
CREATED:20210913T141138Z
LAST-MODIFIED:20210913T141138Z
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SUMMARY:PSOC@Penn Seminar: "High-throughput multi-dimensional T cell profiling enabled systems immunology" (Ning Jenny Jiang)
DESCRIPTION:Room: Towne 225/Raisler Lounge \nFor zoom link\, contact manu@seas.upenn.edu.
URL:https://seasevents.nmsdev7.com/event/psocpenn-seminar-ning-jenny-jiang/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211108T120000
DTEND;TZID=America/New_York:20211108T140000
DTSTAMP:20260406T125005
CREATED:20211022T125742Z
LAST-MODIFIED:20211022T125742Z
UID:10006937-1636372800-1636380000@seasevents.nmsdev7.com
SUMMARY:BE Dissertation Defense: "Versican/Collagen Interactions in Tissue Structure and Mechanics" (Dongning Chen)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Rebecca Wells are pleased to announce the Doctoral Dissertation Defense of Dongning Chen.\n\nTitle: Versican/Collagen Interactions in Tissue Structure and Mechanics\nDate: Nov. 8\, 2021\nTime: 12pm \n \nThe public is welcome to attend in person at BRB 253 and via zoom: https://upenn.zoom.us/j/6088045110
URL:https://seasevents.nmsdev7.com/event/be-dissertation-defense-versican-collagen-interactions-in-tissue-structure-and-mechanics-dongning-chen/
LOCATION:BRB 253
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:20211109T100000
DTEND;TZID=America/New_York:20211109T113000
DTSTAMP:20260406T125005
CREATED:20210901T144335Z
LAST-MODIFIED:20210901T144335Z
UID:10006874-1636452000-1636457400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Time and Rate Dependent Fracture of Polymer Gels and Interfaces"
DESCRIPTION:Fracture of materials and interfaces is often time and rate dependent. The underlying mechanisms for the time and rate dependent fracture may include local molecular processes\, viscoelasticity\, and poroelasticity (solvent diffusion coupled with deformation). In this talk\, I will present our recent works on two different mechanisms. First\, the effects of poroelasticity on fracture of polymer gels will be discussed. A path-independent\, modified J-integral approach is adopted to define the crack-tip energy release rate as the energetic driving force for crack growth in gels\, taking into account the energy dissipation by solvent diffusion. For a stationary crack\, the energy release rate is time dependent\, with which delayed fracture can be predicted based on a Griffith-like fracture criterion. For steady-state crack growth in a long-strip specimen\, the energy release rate is a function of the crack speed\, with rate-dependent poroelastic toughening. With a poroelastic cohesive zone model\, solvent diffusion within the cohesive zone leads to significantly enhanced poroelastic toughening as the crack speed increases. Second\, for rate-dependent fracture of a polymer interface\, we propose a multiscale cohesive zone model\, considering the energetics of bond stretching\, the entropic effect of long molecular chains\, the kinetics of thermally activated chain scission\, and statistical distributions of the chain lengths. This model relates the macroscopically measurable interfacial properties (toughness\, strength\, and traction-separation relations) to molecular structures of the interface\, and the rate dependence results naturally from the kinetics of damage evolution as a thermally activated process. Finite element simulations with the cohesive zone model are directly compared to double cantilever beam experiments for rate-dependent fracture of a silicon/epoxy interface.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-time-and-rate-dependent-fracture-of-polymer-gels-and-interfaces/
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:20211109T110000
DTEND;TZID=America/New_York:20211109T120000
DTSTAMP:20260406T125005
CREATED:20211026T133846Z
LAST-MODIFIED:20211026T133846Z
UID:10006941-1636455600-1636459200@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium Seminar - "2D Materials\, from Academia to Industry"
DESCRIPTION:Semiconductor sales will reach over $500 billion worldwide in 2021\, a gigantic industry that keeps on growing with increasing demand for faster\, more powerful\, and smaller chips. However\, as we keep scaling\, the silicon (Si) transistor will soon reach its physical limit\, and there is a pressing need to find an alternative post-Si material to enable the continuation of Moore’s Law. \nIn the early 2000s\, scientists discovered that graphite could be exfoliated down into an atomic form\, going from a 3D bulk material down to a 2D stable honeycomb lattice of carbon atoms called graphene. Scientists marveled at graphene’s astonishing electrical and mechanical properties\, however\, for all that graphene has to offer\, it lacks a band gap that is essential for logic devices. This created a surge in research on materials beyond graphene\, scientists searching for an elusive 2D material that would possess a bandgap to satisfy the need of the semiconducting industry. Monolayer Transition Metal Dichalcogenides (TMDs) possess the bandgap that graphene lacks\, and with the vast variety of TMDs available\, coupled with its encouraging electrical properties\, make TMDs a promising candidate. \nIn this talk\, I will present my years of research on 2D materials focusing on TMDs\, from synthesis and characterization to innovative applications. I will demonstrate a scalable method for monolayer TMD growth and integration\, its applications (e.g. opioid biosensor and flexible electronics)\, the first report of monolayer growth and electrical characterization of the topological 1T’-TMDs\, and in-plane monolayer TMD heterostructures with different metal atoms or atomic phases. I will also discuss some of Intel’s industrial research to date on 2D materials\, how TMDs and other 2D materials are finding their way into production and potentially into everyone’s day to day life.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-seminar-2d-materials-from-academia-to-industry/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211109T171500
DTEND;TZID=America/New_York:20211109T181500
DTSTAMP:20260406T125005
CREATED:20211102T184928Z
LAST-MODIFIED:20211102T184928Z
UID:10006955-1636478100-1636481700@seasevents.nmsdev7.com
SUMMARY:CIS 189 Guest Lecture: "Optimization in Practice"
DESCRIPTION:Abstract: \nDiscrete optimization plays a critical role in solving various resource allocation problems within the industry. \nIn this talk\, we study problems from the two extremes of the optimization landscape; operational decision-making in real-time and resource provisioning for future considerations. Motivated by real-world business requirements ranging from load balancing in heterogeneous environments to privacy concerns and various service-level agreements\, we demonstrate how constraint reasoning delivers effective solutions in both cases. \nWhile solving large-scale problems is of great practical importance\, we emphasize the need for solutions that are not only efficient but also flexible\, easy to update and maintain. We show how Constraint Programming neatly suits the needs of such dynamic environments with continually changing requirements. \n\nTowne 307 + Zoom\n(Meeting ID: 945 8230 3285\nPasscode: 369654) \n 
URL:https://seasevents.nmsdev7.com/event/cis-189-guest-lecture-optimization-in-practice/
LOCATION:Towne 307\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Student
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211110T150000
DTEND;TZID=America/New_York:20211110T160000
DTSTAMP:20260406T125005
CREATED:20211105T205257Z
LAST-MODIFIED:20211105T205257Z
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SUMMARY:Fall 2021 GRASP SFI: "Artificial Intelligence and its Impact on Engineered-Systems Design"
DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom here… \nOur research employs artificial intelligence techniques that seek to automate the main time/cost drivers of engineered-systems design. The features of a system inform the form\, function and behavior of the resulting concept that can be subsequently created using traditional manufacturing/additive manufacturing methods. While there exists a wide range of computer aided design tools that seek to generate 3D design concepts\, they are primarily parametric in nature and rely extensively on domain expertise\, which may not always be readily available. Grants from the National Science Foundation (NSF) and the Defense Advanced Research Projects Agency (DARPA) have enabled our research team to explore the use of Deep Generative Design methods such as Generative Adversarial Networks (GANs) to generate 3D representations of design concepts. However\, there is more to a design than simply its 3D form\, as the design must perform a function and operate in an environment where its behavior may/may not perform as intended. Towards this end\, our research group has proposed liking the AI-generation of a design\, with the automatic evaluation of its function and behavior using physics-based simulation engines. The end result is a physics-informed design that has the potential to be realized through techniques such as additive manufacturing.
URL:https://seasevents.nmsdev7.com/event/fall-2021-grasp-sfi-artificial-intelligence-and-its-impact-on-engineered-systems-design/
LOCATION:Levine 307\, 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:20211111T110000
DTEND;TZID=America/New_York:20211111T120000
DTSTAMP:20260406T125005
CREATED:20211101T152440Z
LAST-MODIFIED:20211101T152440Z
UID:10006953-1636628400-1636632000@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium Seminar - " Beyond Curve-Fitting: What’s next for deep learning in biomedical imaging?"
DESCRIPTION:Over the last 5-10 years\, deep learning has transformed biomedical imaging\, from enhancing acquisition to maximizing downstream utility of scans. My research group has been at the forefront of this revolution\, developing novel methods that have laid the foundation for next-generation tools. As I will describe in my talk\, much of this progress relies on predictive models and thus can be viewed as “curve-fitting” with general-purpose models. I will then show a few examples of recent work from my group\, where we move beyond the curve-fitting paradigm and custom build models in ways that allow us to gain novel insights\, understand how the output was computed\, or empower the end-user to choose the solution best suited for their needs. These examples will be from a range of applications\, including MRI reconstruction\, image registration\, and neural encoding with fMRI data.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-seminar-beyond-curve-fitting-whats-next-for-deep-learning-in-biomedical-imaging/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211111T123000
DTEND;TZID=America/New_York:20211111T133000
DTSTAMP:20260406T125005
CREATED:20211101T151215Z
LAST-MODIFIED:20211101T151215Z
UID:10006951-1636633800-1636637400@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Local to Meso-scale Order in Electronic Ceramics Characterized by Aberration -Corrected Scanning Transmission Electron Microscopy"
DESCRIPTION:The ability to design the composition and microstructure of electronic ceramics for emerging technological applications requires sophisticated characterization techniques that can provide quantitative information about local structure and chemistry. Such structure quantification is particularly important to the fundamental understanding of properties in many important non-linear dielectrics\, where chemical heterogeneities associated with dopants or intrinsic lattice defects give rise to local inhomogeneities in charge\, strain and polarization. Such local deviations from the global average structure and symmetry are linked to enhancements in macroscopic dielectric and electromechanical properties. This seminar discusses the use of aberration-corrected scanning transmission electron microscopy (STEM) to quantify short- and medium-range lattice disorder in electronic oxides\, including ferroelectrics and relaxor ferroelectrics. The ability to quantify local structure on a sublattice basis and in real space provides unique insight into the structural complexities of these materials.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-local-to-meso-scale-order-in-electronic-ceramics-characterized-by-aberration-corrected-scanning-transmission-electron-microscopy/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211111T130000
DTEND;TZID=America/New_York:20211111T150000
DTSTAMP:20260406T125005
CREATED:20211101T140052Z
LAST-MODIFIED:20211101T140052Z
UID:10006950-1636635600-1636642800@seasevents.nmsdev7.com
SUMMARY:Snack Break with ODEI and EngiQueers
DESCRIPTION:Levine Lobby 11/11 from 1pm-3pm \nODEI and EngiQueers are collaborating to host a grab and go snack break\, that showcases prominent LGBTQ+ individuals in STEM throughout history. Come grab a snack\, and get a fact about a queer individual who played an integral role in the advancement of the STEM field and industry. While learning about queer folks who are making significant contributions to engineering\, learn more about the LGBTQ+ resources that are available for Penn students. Representatives from ODEI\, oSTEM\, and EngiQueers would love to see you!
URL:https://seasevents.nmsdev7.com/event/snack-break-with-odei-and-engiqueers/
LOCATION:Lobby and Mezzanine\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Office of Diversity%2C Equity and Inclusion":MAILTO:odei@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211112T103000
DTEND;TZID=America/New_York:20211112T114500
DTSTAMP:20260406T125005
CREATED:20211029T173901Z
LAST-MODIFIED:20211029T173901Z
UID:10006949-1636713000-1636717500@seasevents.nmsdev7.com
SUMMARY:GRASP on Robotics: “Approaches to Grounded Language Acquisition from Human Interaction”
DESCRIPTION:*This will be a HYBRID Event with in-person attendance for Dr. Matuszek’s in-person talk in Wu & Chen Auditorium and Virtual attendance via Zoom Webinar here.  \nAs robots move from labs and factories into human-centric spaces\, it becomes progressively harder to predetermine the environments and interactions they will need to be able to handle. Letting robots learn from end users via natural language is an intuitive\, versatile approach to handling novel situations robustly. Grounded language acquisition is concerned with learning to understand language in the context of the physical world. In this presentation\, I will give an overview of our work on using joint statistical models to learn the grounded semantics of natural language describing an agent’s environment\, and will describe work on applying those models in a sim-to-real language learning environment. I will also discuss the role of speech understanding in grounded language learning\, including introducing a new dataset and results on learning directly from that speech.
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-approaches-to-grounded-language-acquisition-from-human-interaction/
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:20211112T140000
DTEND;TZID=America/New_York:20211112T150000
DTSTAMP:20260406T125005
CREATED:20210920T134714Z
LAST-MODIFIED:20210920T134714Z
UID:10006910-1636725600-1636729200@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Molecular organization in biology: What can computer simulations teach us?"
DESCRIPTION:Abstract: The formation of membraneless organelles (MLOs) via phase separation of proteins and nucleic acids has emerged as an essential process with which cells can maintain spatiotemporal control. Despite enormous progress in understanding the role of MLOs in biological function in the last ten years or so\, the molecular details of the underlying phenomena are only beginning to emerge recently. We use computer simulations of coarse-grained and all-atom models to complement experimental studies to achieve insights into the molecular driving forces underlying biomolecular phase separation. In this talk\, I’ll highlight results that demonstrate our approach’s usefulness for identifying general principles and system-specific insights into biomolecular structure and function. These results also open up new avenues for the design of biomaterials with tunable properties.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-molecular-organization-in-biology-what-can-computer-simulations-teach-us/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
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