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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201105T104500
DTEND;TZID=America/New_York:20201105T114500
DTSTAMP:20260407T152328
CREATED:20200828T155508Z
LAST-MODIFIED:20200828T155508Z
UID:10006457-1604573100-1604576700@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "From Atom to System: Advanced Characterization for Next Generation Energy Storage Materials"
DESCRIPTION:Seminar details forthcoming.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-from-atom-to-system-advanced-characterization-for-next-generation-energy-storage-materials/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201106T120000
DTEND;TZID=America/New_York:20201106T130000
DTSTAMP:20260407T152328
CREATED:20201102T170628Z
LAST-MODIFIED:20201102T170628Z
UID:10006536-1604664000-1604667600@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Accelerating MRI with Deep Learning"
DESCRIPTION:Magnetic Resonance Imaging (MRI) can be accelerated by sampling below the Shannon-Nyquist rate via compressed sensing techniques. In this talk\, I will consider the problem of optimizing the under-sampling pattern in a data-driven fashion\, which has been an open problem for over a decade. For a given sparsity constraint\, our method optimizes the under-sampling pattern and reconstruction model\, using a computationally efficient end-to-end deep-learning strategy. We call our method Learning-based Optimization of the Under-sampling PattErn\, or LOUPE. Our experiments with brain and knee MRI scans show that the LOUPE-derived pattern can yield significantly more accurate reconstructions compared to standard under-sampling schemes. I will also present results for prospectively collected in-vivo images that demonstrate the practical utility of LOUPE in speeding up MRI scans.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-accelerating-mri-with-deep-learning/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201106T130000
DTEND;TZID=America/New_York:20201106T140000
DTSTAMP:20260407T152328
CREATED:20201104T190535Z
LAST-MODIFIED:20201104T190535Z
UID:10006539-1604667600-1604671200@seasevents.nmsdev7.com
SUMMARY:SIG Seminar:"Computational Design for the Next Manufacturing Revolution"
DESCRIPTION:Abstract: 3D printers are radically transforming the aerospace and automotive industries. Whole-garment knitting machines allow the automated production of complex apparel and shoes. Manufacturing electronics on flexible substrates enable a new range of integrated products for consumer electronics and medical diagnostics. These advances demonstrate the potential for a new economy of on-demand production of objects of unprecedented complexity and functionality. In my talk\, I argue that the field of computational design is essential for the next revolution in manufacturing. To build increasingly functional\, complex and integrated products\,  we need to create design tools that allow their users to efficiently explore high-dimensional design spaces by optimizing over a set of performance objectives that can be measured only by expensive computations.
URL:https://seasevents.nmsdev7.com/event/sig-seminarcomputational-design-for-the-next-manufacturing-revolution/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201107T100000
DTEND;TZID=America/New_York:20201107T160000
DTSTAMP:20260407T152328
CREATED:20200902T132452Z
LAST-MODIFIED:20200902T132452Z
UID:10006474-1604743200-1604764800@seasevents.nmsdev7.com
SUMMARY:PICS: "Python Workshop"
DESCRIPTION:The Penn Institute for Computational Science (PICS) will be hosting a Python workshop on Saturday\, November 7 from 10:00am – 3:30pm via Zoom. This course is designed to be an introduction to programming in Python. In this workshop you will learn to write clean\, readable\, and fast Python code with a focus on graphics-based programming. \nIn order to attend please click here and RSVP. The workshop will be capped at 30 people. Students enrolled in the PICS Certificate program will have priority enrollment.
URL:https://seasevents.nmsdev7.com/event/pics-python-workshop/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
CATEGORIES:Workshop
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201109T113000
DTEND;TZID=America/New_York:20201109T123000
DTSTAMP:20260407T152328
CREATED:20201001T151150Z
LAST-MODIFIED:20201001T151150Z
UID:10006516-1604921400-1604925000@seasevents.nmsdev7.com
SUMMARY:Doctoral Dissertation: "Iron Imaging in Myocardial Infarction Reperfusion Injury" (Brianna Moon)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Walter Witschey are pleased to announce the Doctoral Dissertation Defense of Brianna Moon.  The Defense will take place via Zoom. Contact moonbri@seas.upenn.edu for the link and passcode.\n\nTitle: Iron Imaging in Myocardial Infarction Reperfusion Injury\nDate: November 9th\, 2020\nTime: 11:30am EST
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-iron-imaging-in-myocardial-infarction-reperfusion-injury-brianna-moon/
LOCATION:PA
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201109T120000
DTEND;TZID=America/New_York:20201109T130000
DTSTAMP:20260407T152328
CREATED:20200908T170947Z
LAST-MODIFIED:20200908T170947Z
UID:10006481-1604923200-1604926800@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: “Chromatin motion and DNA repair” (Pierre-Alexandre Vidi)
DESCRIPTION:“Chromatin motion and DNA repair” \nPhysical Sciences in Oncology Center PSOC@Penn \nFall 2020 Webinar Series Mondays @ Noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-chromatin-motion-and-dna-repair-pierre-alexandre-vidi/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201109T130000
DTEND;TZID=America/New_York:20201109T150000
DTSTAMP:20260407T152328
CREATED:20201012T195236Z
LAST-MODIFIED:20201012T195236Z
UID:10006523-1604926800-1604934000@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense | Polymer Mechanics and Dynamics in Polymer Nanoparticle Composites
DESCRIPTION:Abstract:  \n“Polymer nanoparticle composites (PNCs) have become an important topic of research due to their highly tunable macroscopic properties. Compared to the pure polymers\, PNCs exhibit increase in mechanical strength\, altered thermodynamic properties\, and simultaneous improvement in permeability and selectivity in small molecule transport. Understanding the fundamental physics that control the behavior of both components in the PNCs can provide insights to the material design. In PNCs\, the microscopic variations often dominate the behavior at the macroscopic level. Previous research has shown significant deviations in both polymer conformation and dynamics near the nanoparticle (NP) surfaces from bulk polymers. However\, the heterogeneous nature of the PNCs makes understanding microscopic details using macroscopic experiments a difficult task. Therefore\, computational methods have been employed to investigate the polymer conformation\, mechanics\, and dynamics at the molecular level. In this dissertation\, I use PNCs with two levels of NP loading to investigate the origins of the various changes in properties. First\, I use molecular dynamics (MD) simulations to examine a class of PNCs with ultra-high NP loading\, in which the volume fraction of NPs is near the random-close-pack limit ( >50% ). This class of PNCs can be produced with either partial or complete filling of polymers. In these PNCs\, the polymer chains are highly confined due to the large number of NP surfaces\, thus are drastically altered in their conformation and dynamics. The second PNC system studied in this dissertation has a dilute amount of well-dispersed NPs to avoid NP-NP interaction and polymer confinement. In this case\, I use both MD simulations and classical density functional theory (cDFT) for fluids to understand the role of NP-polymer interactions\, solid curvature\, and polymer molecular weight.”
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-polymer-mechanics-and-dynamics-in-polymer-nanoparticle-composites/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Seminar,Graduate,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201110T103000
DTEND;TZID=America/New_York:20201110T120000
DTSTAMP:20260407T152328
CREATED:20200831T150255Z
LAST-MODIFIED:20200831T150255Z
UID:10006464-1605004200-1605009600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Merging Human-Machine Intelligence with Soft Materials Technology"
DESCRIPTION:Whereas human tissues and organs are mostly soft\, wet and bioactive; machines are commonly hard\, dry and biologically inert. Merging humans\, machines and their intelligence is of imminent importance in addressing grand societal challenges in health\, sustainability\, security\, education and joy of living. However\, interfacing humans and machines is extremely challenging due to their fundamentally contradictory properties. At MIT Zhao Lab\, we exploit soft materials technology to form long-term\, high-efficacy\, multi-modal interfaces and convergence between humans and machines. In this talk\, I will first discuss the mechanics and general principles to design extreme properties including tough\, resilient\, adhesive\, strong\, fatigue-resistant and conductive for soft materials. Then I will discuss a set of soft materials technology platforms\, including i). bioadhesives for instant strong adhesion of diverse wet dynamic tissues and machines; ii). bioelectronics for long-term multi-modal neural interfaces; iii). biorobots for teleoperated and autonomous navigations and operations in previously inaccessible lesions such as in cerebral and coronary arteries. I will conclude the talk with a perspective on future human-machine convergence enabled by soft materials technology.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-merging-human-machine-intelligence-with-soft-materials-technology/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201110T120000
DTEND;TZID=America/New_York:20201110T130000
DTSTAMP:20260407T152328
CREATED:20201106T205921Z
LAST-MODIFIED:20201106T205921Z
UID:10006544-1605009600-1605013200@seasevents.nmsdev7.com
SUMMARY:ESE Grace Hopper Lecture: "Scalable Photonics: An Optimized Approach"
DESCRIPTION:Classical and quantum photonics with superior properties can be implemented in a variety of old (silicon\, silicon nitride) and new (silicon carbide\, diamond) photonic materials by combining state of the art optimization and machine learning techniques (photonics inverse design) with new fabrication approaches. In addition to making photonics more robust to errors in fabrication and temperature\, more compact\, and more efficient\, this approach is also crucial for enabling new photonics applications\, such as on-chip laser-driven particle accelerators\, and semiconductor quantum simulators.
URL:https://seasevents.nmsdev7.com/event/ese-grace-hopper-lecture-scalable-photonics-an-optimized-approach/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Distinguished Lecture,Faculty,Colloquium,Graduate,Undergraduate
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201110T150000
DTEND;TZID=America/New_York:20201110T160000
DTSTAMP:20260407T152328
CREATED:20201001T193506Z
LAST-MODIFIED:20201001T193506Z
UID:10006519-1605020400-1605024000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar:"Critical Computing Education
DESCRIPTION:Computing can be a wondrous\, powerful tool\, bringing us information\, experiences\, and connections that transform our lives for the better. However\, as many of us have learned\, computing has also contributed to great injustices\, increasing surveillance of our most vulnerable populations\, eroding the middle class through economic displacement\, and amplifying historical injustices embedded in society. In this talk\, I discuss our responsibility as scholars to engage both the powers and perils of computing in our research\, teaching\, and service. I specifically focus on three sources of injustice that are missing from computing literacy: the limits of computing\, the limits of data\, and the responsibility of computing professionals to center these limits in their work. Throughout\, I highlight recent discoveries from my lab as examples for how to engage these topics through research\, and end with ideas for how the audience can engage in their own research\, teaching\, and service.
URL:https://seasevents.nmsdev7.com/event/cis-seminarcritical-computing-education/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201110T150000
DTEND;TZID=America/New_York:20201110T160000
DTSTAMP:20260407T152328
CREATED:20201104T192604Z
LAST-MODIFIED:20201104T192604Z
UID:10006540-1605020400-1605024000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar:"Critical Computing Education"
DESCRIPTION:Computing can be a wondrous\, powerful tool\, bringing us information\, experiences\, and connections that transform our lives for the better. However\, as many of us have learned\, computing has also contributed to great injustices\, increasing surveillance of our most vulnerable populations\, eroding the middle class through economic displacement\, and amplifying historical injustices embedded in society. In this talk\, I discuss our responsibility as scholars to engage both the powers and perils of computing in our research\, teaching\, and service. I specifically focus on three sources of injustice that are missing from computing literacy: the limits of computing\, the limits of data\, and the responsibility of computing professionals to center these limits in their work. Throughout\, I highlight recent discoveries from my lab as examples for how to engage these topics through research\, and end with ideas for how the audience can engage in their own research\, teaching\, and service.
URL:https://seasevents.nmsdev7.com/event/cis-seminarcritical-computing-education-2/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201111T123000
DTEND;TZID=America/New_York:20201111T143000
DTSTAMP:20260407T152328
CREATED:20201020T144620Z
LAST-MODIFIED:20201020T144620Z
UID:10006527-1605097800-1605105000@seasevents.nmsdev7.com
SUMMARY:Doctoral Dissertation Defense: "Light-inducible control of microtubule organization in minimal cell-like compartments" (Jessica Bermudez)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Matthew Good are pleased to announce the Doctoral Dissertation Defense of Jessica Bermudez. The public is welcome to attend the Zoom meeting via the details below.\n\nTitle: Light-inducible control of microtubule organization in minimal cell-like compartments\nDate: Wednesday\, November 11th\, 2020\nTime: 12:30 PM EST\n\nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/2498969462?pwd=cHVPVit5c2w2ZE1ab1dNTklLcS9Ndz09 \nMeeting ID: 249 896 9462\nPasscode: 111120\nOne tap mobile\n+13126266799\,\,2498969462# US (Chicago)\n+16465588656\,\,2498969462# US (New York) \nDial by your location\n+1 312 626 6799 US (Chicago)\n+1 646 558 8656 US (New York)\n+1 301 715 8592 US (Germantown)\n+1 346 248 7799 US (Houston)\n+1 669 900 9128 US (San Jose)\n+1 253 215 8782 US (Tacoma)\nMeeting ID: 249 896 9462 \n\nFind your local number: https://upenn.zoom.us/u/ab3JlKeKUN
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-defense-light-inducible-control-of-microtubule-organization-in-minimal-cell-like-compartments-jessica-bermudez/
LOCATION:PA
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201111T150000
DTEND;TZID=America/New_York:20201111T160000
DTSTAMP:20260407T152328
CREATED:20201027T190706Z
LAST-MODIFIED:20201027T190706Z
UID:10006533-1605106800-1605110400@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "The Role of Utilization in Meeting Mid-Century Carbon Removal Targets"
DESCRIPTION:Abstract \nThe utilization of CO2 broadly applies to any process that transforms captured CO2 into valuable products. These processes strive to achieve any of the following objectives: (1) permanent storage (2) revenue generation and/or (3) avoiding emissions of conventional products with high amounts of embodied carbon. This talk will explore how carbon utilization can be leveraged to help us meet the ambitious gigatonne-scale removal targets proposed by many agencies as necessary to combat climate change by mid-century. Topics covered will include the importance of CO2 source\, temporal aspects of storage\, the role of stock vs flux\, scaling limitations\, economic potential and risk. The significance and mutual dependency of these factors will be illustrated in regional merit-order modeling\, as well as select case studies on lifecycle emission assessments. These results inform policymakers\, investors and scientists on both the strengths and shortcomings of CCUS as a climate mitigation strategy.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-the-role-of-utilization-in-meeting-mid-century-carbon-removal-targets/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201112T104500
DTEND;TZID=America/New_York:20201112T114500
DTSTAMP:20260407T152328
CREATED:20200828T160616Z
LAST-MODIFIED:20200828T160616Z
UID:10006458-1605177900-1605181500@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Nano-Volumetric Materials Properties of Ferroelectrics and Photovoltaics via Tomographic AFM"
DESCRIPTION:Nano- and meso- scale materials properties are crucial to the macroscopic performance of a wide range of functional and photovoltaic devices. In 2-dimensions\, photoconductivity\, ferroelectricity\, and even domain dynamics have thus been investigated for decades now especially using variations of Atomic Force Microscopy. Our work and others reveals how these properties are frequently mediated by strain\, orientation\, grain boundaries\, and other microstructural defects or heterogeneities. However\, practical devices are often sensitive to\, or even controlled by\, sub-surface effects or thickness dependencies related to microstructure and concentration\, polarization\, and/or field gradients. Therefore\, we are advancing Tomographic AFM for volumetric materials property mapping\, with voxels of properties on the order of ~10 nm3. With polycrystalline photovoltaics such as MAPbI3 and CdTe\, TAFM literally uncovers new pathways to improve carrier separation via inter- and intra- granular defects (Luria\, Nature Energy\, 2017; Song\, Nature Communications\, 2020). For BiFeO3\, Tomographic AFM confirms Kay-Dunn thickness scaling\, LGD behavior with a minimum switchable thickness of <5 nm\, and even co-located domain and current maps which together directly reveal sub-surface topological defects (Steffes\, PNAS\, 2018). Such volumetric insight is increasingly important for engineering optimal performance and reliability of real-world\, 3-Dimensional materials devices.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-nano-volumetric-materials-properties-of-ferroelectrics-and-photovoltaics-via-tomographic-afm/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201112T133000
DTEND;TZID=America/New_York:20201112T143000
DTSTAMP:20260407T152328
CREATED:20201105T143141Z
LAST-MODIFIED:20201105T143141Z
UID:10006543-1605187800-1605191400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "How to Make Your Ocean Smarter"
DESCRIPTION:Our oceans drive worldwide weather-climate systems; our rivers serve as nutrient conduits; and our marine ecosystems house the largest repository of biodiversity and mineral resources on the planet. Humans have relied on rivers\, lakes\, and oceans for transportation\, energy generation\, farming\, and recreation throughout our history. And today\, robots are critical tools in our stewardship of these resources. However\, there are significant autonomy challenges when working in dynamic and uncertain environments like oceans and rivers. Robot dynamics are tightly coupled to those of the environment\, while communication and localization are limited. \nControl under these conditions can be exacting\, but environmental dynamics may be harnessed to plan energy efficient paths and to maintain network connectivity. Networked robot teams can collect data to construct high fidelity models of the environmental dynamics which can be integrated into robot control and planning. Those same models can be used to guide robot control and sampling strategies to increase their predictive power. In this talk\, I will present our vision of a smart ocean observational framework to improve forecasting of weather-climate systems\, mitigation of contaminant dispersions\, and coordination of maritime search and rescue and humanitarian efforts.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-how-to-make-your-ocean-smarter/
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:20201112T150000
DTEND;TZID=America/New_York:20201112T160000
DTSTAMP:20260407T152328
CREATED:20201104T193734Z
LAST-MODIFIED:20201104T193734Z
UID:10006541-1605193200-1605196800@seasevents.nmsdev7.com
SUMMARY:CIS Grace Hopper Distinguished Lecture:"Video Data Management: From Data Models to Data Storage and Benchmarking."
DESCRIPTION:The proliferation of inexpensive high-quality cameras coupled with recent advances in machine learning and computer vision have enabled new applications on video data. This in turn has renewed interest in video data management systems. In this talk\, we explore several challenges related to video data management. We start by discussing data models. How should we expose video data to make it queryable by applications? We look in particular at the case of 360-degree videos. Second\, we explore components of video data storage. How can we store videos in a way that makes them efficiently queryable? Finally\, we discuss the problem of benchmarking video data management systems.
URL:https://seasevents.nmsdev7.com/event/cis-grace-hopper-distinguished-lecturevideo-data-management-from-data-models-to-data-storage-and-benchmarking/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201113T100000
DTEND;TZID=America/New_York:20201113T110000
DTSTAMP:20260407T152328
CREATED:20201104T195026Z
LAST-MODIFIED:20201104T195026Z
UID:10006542-1605261600-1605265200@seasevents.nmsdev7.com
SUMMARY:SIG Seminar:"From Bits to Bricks – Bridging Building Energy Modeling and Simulation with Graphics"
DESCRIPTION:Computer graphics is often used to visualize complex imagery for the\nfilm and game industries\, however\, computer graphics can also be used\nto solve a diverse set of transdisciplinary problems. In this talk\, I\nwill introduce research that bridges building energy modeling and\nsimulation and computer graphics. Buildings are a leading contributor\nto total energy consumption in the United States –responsible for\nover 48 percent of the total energy use in our country. Architecture\,\nengineering\, and construction (AEC) is currently a 10 trillion dollar\nindustry and one of the top consumers of raw materials. I’ll talk\nabout our recent projects that focus on modeling and simulating\nresponsive architecture and approaches to retrofitting through\nnumerical modeling and simulation to provide collaboration tools to\nthe design process. I will introduce our first principle physics-based\napproach to energy and light simulation that produces more informed\ndesign choices to architects and engineers and show how computer\ngraphics has been formalized to conduct basic research in building\nscience. The design\, analysis\, and construction of sustainable\nbuildings require an unprecedented degree of technical sophistication\nthat demands a new transdisciplinary synthesis of engineering\,\narchitecture\, and social science.
URL:https://seasevents.nmsdev7.com/event/sig-seminarfrom-bits-to-bricks-bridging-building-energy-modeling-and-simulation-with-graphics/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201113T150000
DTEND;TZID=America/New_York:20201113T160000
DTSTAMP:20260407T152328
CREATED:20201030T171328Z
LAST-MODIFIED:20201030T171328Z
UID:10006535-1605279600-1605283200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: “All-Passive Hardware Architectures for Neuromorphic Computation”
DESCRIPTION:Human brains demonstrate how simple computational primitives can be combined in massively parallel ways to produce networks capable of identifying complicated patterns in sensory data. In contrast\, electronic computers adopt hardware architectures that process information serially\, leading to higher latency and power consumption when implementing intrinsically parallel algorithms\, such as neural networks. This software-hardware architectural mismatch has acquired greater attention due to the widespread adoption of large neural networks and has encouraged the prospect of specialized neuromorphic computers. There is great interest in low latency analog neuromorphic designs that utilize passive crossbar arrays to accomplish the dual tasks of storing synaptic weights and computing dot products. Although this compute-in-memory paradigm promises high circuit density and 3D integrability\, prevalent implementations combine them with crossbar-incompatible CMOS neurons\, a paring that impedes overall system scalability. This thesis addresses the scalability bottleneck by evolving fully crossbar – compatible neuromorphic architectures based on passive circuit embodiments of neuron and synapses. \nWe demonstrate via SPICE circuit simulations how a shallow network of diode-resistor based passive neurons and resistive voltage summers\, despite its inherent inability to buffer\, amplify and invert signals\, can recognize MNIST digits with 95.4% accuracy. We introduce weight-to-conductance mappings that enable resource-efficient implementation of negative weights. The performance impacts of nanoscale defects are evaluated and methods to boost fault-tolerance are proposed. Compared with conventional implementations\, we find all-passive neuromorphic hardware promise higher speed\, smaller footprints\, and improved vertical scalability.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-all-passive-hardware-architectures-for-neuromorphic-computation/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201116T120000
DTEND;TZID=America/New_York:20201116T130000
DTSTAMP:20260407T152328
CREATED:20200908T171241Z
LAST-MODIFIED:20200908T171241Z
UID:10006482-1605528000-1605531600@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: “Visualizing Cancer Biology: From Single Molecules to Systems" (Xiolin Nan)
DESCRIPTION:“Visualizing Cancer Biology: From Single Molecules to Systems” \nPhysical Sciences in Oncology Center PSOC@Penn \nFall 2020 Webinar Series Mondays @ Noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-visualizing-cancer-biology-from-single-molecules-to-systems-xiolin-nan/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T103000
DTEND;TZID=America/New_York:20201117T120000
DTSTAMP:20260407T152328
CREATED:20201103T210901Z
LAST-MODIFIED:20201103T210901Z
UID:10006537-1605609000-1605614400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Bilevel Optimization for Control\, Learning\, and Multi-contact Robotics"
DESCRIPTION:Whether operating in a manufacturing plant or assisting within the home\, many robotic tasks requires safe and controlled interaction with a complex and changing world. In this talk\, I will present our recent progress on learning and control in contact rich settings. In the first segment\, I will show how integrating the non-smooth structure of contact dynamics into a learning framework can dramatically improve accuracy and data efficiency when identifying or learning frictional dynamics. Our approach leads to a well-conditioned bilevel optimization problem\, avoiding the numerical stiffness and inaccuracies that plague traditional approaches. In the second part of this talk\, I will focus on the role of simple\, low-dimensional models used in real-time planning for walking robots. Hand-engineered models\, typically based in inverted pendulums\, are widely used but lead to fundamental limitations on performance. Our recent work\, leveraging trajectory optimization within bilevel optimization\, to automatically synthesize simple models designed to succeed across a space of tasks. Time-permitting\, I will also discuss our work on using bilinear matrix inequalities to leverage tactile feedback within provably stable control policies.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-bilevel-optimization-for-control-learning-and-multi-contact-robotics/
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:20201117T110000
DTEND;TZID=America/New_York:20201117T120000
DTSTAMP:20260407T152328
CREATED:20201110T205644Z
LAST-MODIFIED:20201110T205644Z
UID:10006546-1605610800-1605614400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "A New Era of Open-Source System-on-Chip Design"
DESCRIPTION:Open-source software has been a critical enabler for tremendous innovation in the software ecosystem over the past two decades. Inspired by this success\, open-source hardware involves making the high-level description of hardware components freely available for others to study\, change\, distribute\, and ultimately use in fabricating their own hardware components. Unfortunately\, open-source hardware has had a relatively bleak history and has yet to offer the same kind of transformative impact in the hardware ecosystem. At the same time\, emerging applications in visual computing\, data science\, and machine learning are demanding more performance with less resources motivating an increasing need for accelerator-centric system-on-chip (SoC) design. We need hardware startups to drive the next phase of software/hardware innovation\, and hardware startups need open-source hardware. \nIn this talk\, I will briefly discuss some recent trends in open-source electronic design automation\, instruction set design\, and component development that suggest we may be entering a new era of open-source SoC design. I will then describe two projects in my own research group that concretely illustrate these trends. In the first part of the talk\, I will discuss PyMTL\, a new framework which leverages Python to create a domain-specific embedded language for hardware modeling\, generation\, simulation\, and verification. PyMTL has the potential to improve the productivity and quality of open-source hardware design. In the second part of this talk\, I will discuss the Celerity SoC\, a 5x5mm 385M-transistor chip in TSMC 16nm designed and implemented by a team of students and faculty from UC San Diego\, University of Michigan\, and Cornell as part of the DARPA CRAFT program. The chip went from PDK access to tapeout in just nine months largely owing to extensive use of open-source hardware. My talk concludes with a call-to-action for the academic community to make open-source hardware a centerpiece of their activities. Academics have a practical and ethical motivation for using\, developing\, and promoting open-source electronic design automation tools and open-source hardware designs. We should be leaders in this new era of open-source system-on-chip design.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-a-new-era-of-open-source-system-on-chip-design/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T160000
DTEND;TZID=America/New_York:20201117T170000
DTSTAMP:20260407T152328
CREATED:20200709T143100Z
LAST-MODIFIED:20200709T143100Z
UID:10006441-1605628800-1605632400@seasevents.nmsdev7.com
SUMMARY:Immunology/BE Seminar: “Engineering Next-Generation CAR-T Cells for Cancer Immunotherapy” (Yvonne Chen)
DESCRIPTION:This event is part of the Penn Institute for Immunology Colloquium seminar series and is co-hosted by the Department of Bioengineering. This virtual event will be held on Bluejeans. \nAttend the live seminar via this link. Or download the Bluejeans app and and enter ID: wxbzgity \nContact ifiadmin@pennmedicine.upenn.edu with any questions. \nThe adoptive transfer of T cells expressing chimeric antigen receptors (CARs) has demonstrated clinical efficacy in the treatment of advanced cancers\, with anti-CD19 CAR-T cells achieving up to 90% complete remission among patients with relapsed B-cell malignancies. However\, challenges such as antigen escape and immunosuppression limit the long-term efficacy of adoptive T-cell therapy. Here\, I will discuss the development of next-generation T cells that can target multiple cancer antigens and resist immunosuppression\, thereby increasing the robustness of therapeutic T cells against tumor defense mechanisms. Specifically\, I will discuss the development of multi-input receptors and T cells that can interrogate intracellular antigens. I will also discuss the engineering of T cells that can effectively convert TGF-beta from a potent immunosuppressive cytokine into a T-cell stimulant. This presentation will highlight the potential of synthetic biology in generating novel mammalian cell systems with multifunctional outputs for therapeutic applications.
URL:https://seasevents.nmsdev7.com/event/immunology-be-seminar-engineering-next-generation-car-t-cells-for-cancer-immunotherapy/
LOCATION:PA
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201118T130000
DTEND;TZID=America/New_York:20201118T140000
DTSTAMP:20260407T152328
CREATED:20201028T193953Z
LAST-MODIFIED:20201028T193953Z
UID:10006534-1605704400-1605708000@seasevents.nmsdev7.com
SUMMARY:Neuroengineering/BE Seminar: “Photovoltaic Restoration of Sight in Age-related Macular Degeneration” (Daniel Palanker)
DESCRIPTION:Presented by The Center for Neuroengineering and Therapeutics Presents and The Bioengineering Department. \nCheck email for zoom link or Everett Prince at eprince@seas.upenn.edu. \nRetinal degenerative diseases lead to blindness due to loss of the “image capturing” photoreceptors\, while neurons in the “image-processing” inner retinal layers are relatively well preserved. Information can be reintroduced into the visual system using electrical stimulation of the surviving inner retinal neurons. We developed a photovoltaic substitute of photoreceptors which convert light into pulsed electric current\, stimulating the secondary retinal neurons. Visual information captured by a\ncamera is projected onto the retina from augmented-reality glasses using pulsed near-infrared (~880nm) light. This design avoids the use of bulky electronics and wiring\, thereby greatly reducing the surgical complexity. Optical activation of the photovoltaic pixels allows scaling the number of electrodes to thousands. In preclinical studies\, we found that prosthetic vision with subretinal implants\npreserves many features of natural vision\, including flicker fusion at high frequencies (>30 Hz)\, adaptation to static images\, antagonistic center-surround organization and non-linear\nsummation of subunits in receptive fields\, providing high spatial resolution. Results of the clinical\ntrial with our implants (PRIMA\, Pixium Vision) having 100μm pixels\, as well as preclinical\nmeasurements with 75 and 55μm pixels\, confirm that spatial resolution of prosthetic vision can\nreach the pixel pitch. Remarkably\, central prosthetic vision in AMD patients can be perceived\nsimultaneously with peripheral natural vision. For broader acceptance of this technology by patients who lost central vision due to agerelated macular degeneration\, visual acuity should exceed 20/100\, which requires pixels smaller than 25μm. I will describe the fundamental limitations in electro-neural interfaces and 3-dimensional configurations which should enable such a high spatial resolution. Ease of\nimplantation of these wireless arrays\, combined with high resolution opens the door to highly functional restoration of sight.
URL:https://seasevents.nmsdev7.com/event/neuroengineering-be-seminar-photovoltaic-restoration-of-sight-in-age-related-macular-degeneration-daniel-palanker/
LOCATION:PA
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201118T150000
DTEND;TZID=America/New_York:20201118T170000
DTSTAMP:20260407T152328
CREATED:20201008T212049Z
LAST-MODIFIED:20201008T212049Z
UID:10006522-1605711600-1605718800@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense | 3D Porous High Areal Capacity Lithium-ion Micro-Batteries Enabled by Electrochemical Techniques
DESCRIPTION:Abstract: \nThis study involves design and fabrication of scalable\, high surface area\, and porous 3D metal network-based Li-ion micro-batteries with energy and power that meet the demands of commercial microelectronics. A facile high current hydrogen-templated electroplating technique is utilized to generate 3D structures millimeter scale in z-direction through a facile route\, which serve as the scaffolds and current collectors for battery electrodes. A solid polymer electrolyte or gel electrolyte was utilized to increase stability and safety of the energy storage device. Areal capacity high as 30 mAh/cm 2 with stable cycling performance has been demonstrated on the half-cell level\, which can be attributed to the high surface area and low tortuosity from the porous electrodes.
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-chenpeng-huang-3d-porous-high-areal-capacity-lithium-ion-micro-batteries-enabled-by-electrochemical-techniques/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Seminar,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201119T104500
DTEND;TZID=America/New_York:20201119T104500
DTSTAMP:20260407T152328
CREATED:20200828T161150Z
LAST-MODIFIED:20200828T161150Z
UID:10006459-1605782700-1605782700@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Interface Engineering in Nanoceramics"
DESCRIPTION:Details forthcoming.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-interface-engineering-in-nanoceramics-ill-discuss-how-interfacial-thermodynamics-influences-nanostructure-growth-sintering-and-mechanics-while-offering-design-opportunities/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201119T130000
DTEND;TZID=America/New_York:20201119T150000
DTSTAMP:20260407T152328
CREATED:20201027T132719Z
LAST-MODIFIED:20201027T132719Z
UID:10006532-1605790800-1605798000@seasevents.nmsdev7.com
SUMMARY:Doctoral Dissertation Defense: "High throughput Identification of Rare Cell Population by Functional Phenotyping" (Syung Hun Han)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Drs.  Daeyeon Lee and Junhyong Kim and are pleased to announce the Doctoral Dissertation Defense of Syung Hun Han.  The public is welcome to attend on November 19th at 1pm via the zoom link provided below.\n\nTitle: “High throughput Identification of Rare Cell Population by Functional Phenotyping”\n\nTime: Nov 19\, 2020 01:00 PM Eastern Time (US and Canada) \nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/6433136894?pwd=NDh2M2xaYjhIVTJsczVnQ3l4QVdJUT09 \nMeeting ID: 643 313 6894\nPasscode: 1234\nOne tap mobile\n+13462487799\,\,6433136894# US (Houston)\n+12532158782\,\,6433136894# US (Tacoma) \nDial by your location\n+1 346 248 7799 US (Houston)\n+1 253 215 8782 US (Tacoma)\n+1 669 900 9128 US (San Jose)\n+1 312 626 6799 US (Chicago)\n+1 646 558 8656 US (New York)\n+1 301 715 8592 US (Germantown)\nMeeting ID: 643 313 6894\nFind your local number: https://upenn.zoom.us/u/abUcOYZD0X \nJoin by SIP\n6433136894@zoomcrc.com \nJoin by H.323\n162.255.37.11 (US West)\n162.255.36.11 (US East)\n115.114.131.7 (India Mumbai)\n115.114.115.7 (India Hyderabad)\n213.19.144.110 (Amsterdam Netherlands)\n213.244.140.110 (Germany)\n103.122.166.55 (Australia)\n64.211.144.160 (Brazil)\n69.174.57.160 (Canada)\n207.226.132.110 (Japan)\nMeeting ID: 643 313 6894\nPasscode: 1234
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-defense-high-throughput-identification-of-rare-cell-population-by-functional-phenotyping-syung-hun-han/
LOCATION:PA
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201119T150000
DTEND;TZID=America/New_York:20201119T160000
DTSTAMP:20260407T152328
CREATED:20200709T143802Z
LAST-MODIFIED:20200709T143802Z
UID:10006442-1605798000-1605801600@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Emerging Technologies for Detection of Early Stage Bladder Cancer" (Audrey Bowden)
DESCRIPTION:This event will held virtually on zoom. Check email for the link or contact ksas@seas.upenn.edu. \nBladder cancer (BC) —  the 4th most common cancer in men and the most expensive cancer to treat over a patient’s lifetime — is a lifelong burden to BC patients and a significant economic burden to the U.S. healthcare system. The high cost of BC stems largely from its high recurrence rate (>50%); hence\, BC management involves frequent surveillance. Unfortunately\, the current in-office standard-of-care tool for BC surveillance\, white light cystoscopy (WLC)\, is limited by low sensitivity and specificity for carcinoma in situ (CIS)\, a high-grade carcinoma with high potential to metastasize. Early detection and complete eradication of CIS are critical to improve treatment outcomes and to minimize recurrence. The most promising macroscopic technique to improve sensitivity to CIS detection\, blue light cystoscopy (BLC)\, is costly\, time-intensive\, has low availability and a high false-positive rate. Given the limitations of WLC\, we aim to change the paradigm around how BC surveillance is performed by validating new tools with high sensitivity and specificity for CIS that are appropriate for in-office use. In this seminar\, I discuss our innovative solutions to improve mapping the bladder for longitudinal tracking of suspicious lesions and to create miniature tools for optical detection based on optical coherence tomography (OCT). OCT and its functional variant\, cross-polarized OCT\, can detect early-stage BC with better sensitivity and specificity than WLC. We discuss the critical technical innovations necessary to make OCT and CP-OCT a practical tool for in-office use\, and new results from recent explorations of human bladder samples that speak to the promise of this approach to change the management of patient care.
URL:https://seasevents.nmsdev7.com/event/be-seminar-4/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201120T120000
DTEND;TZID=America/New_York:20201120T130000
DTSTAMP:20260407T152328
CREATED:20201111T191453Z
LAST-MODIFIED:20201111T191453Z
UID:10006547-1605873600-1605877200@seasevents.nmsdev7.com
SUMMARY:SIG Seminar:"Behavior Modeling using Data from Games"
DESCRIPTION:Behavior modeling is an important area of research as it severs many applications and disciplines; it expands on our knowledge of human behavior as well as allows us to develop novel AI entities that adapts to its users or mimics them. This area of research is by definition interdisciplinary and has stimulated interest from multiple funding organizations. In the past few years\, games have emerged as a new platform with large context-rich data that has the utility to advance behavior modeling. In particular\, recently there has been much work investigating the use of MOBA games\, such as League of Legends and Dota\, and Massively Multiplayer games\, such as Eve Online\, for this purpose. Even though there are many exciting new results\, the current techniques and methods for modeling player behaviors within these environments are still in their infancy. In this talk\, I will discuss our current work towards developing a methodological platform to develop player models that leverages and builds on current theory and data-driven techniques\, including machine learning and visualization methods.
URL:https://seasevents.nmsdev7.com/event/sig-seminarbehavior-modeling-using-data-from-games/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201120T140000
DTEND;TZID=America/New_York:20201120T150000
DTSTAMP:20260407T152328
CREATED:20201110T132115Z
LAST-MODIFIED:20201110T132115Z
UID:10006531-1605880800-1605884400@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Designing energy conversion materials with ab-initio and active machine learning computations of electron-phonon and ion dynamics"
DESCRIPTION:Abstract: Accurate atomistic computations of transport and reaction dynamics are an important challenge and an opportunity for designing materials for energy conversion and storage. In the context of thermoelectric materials\, we develop new automatable computational methods for describing electron-phonon scattering dynamics. By predicting electrical transport properties\, we computationally discovered several new low-cost thermoelectric alloys with record device performance. In the context of solid-state batteries\, computations of ionic transport reveal how strong ionic interactions lead to disorder and surprising collective phenomena in amorphous polymer electrolyte materials and enable us to design new electrolyte chemistries. \nHigh-fidelity ab-initio simulations of atomistic dynamics are limited to small systems and short times\, and development of surrogate machine learning models for force fields is an emerging promising direction to access long-time large-scale dynamics of complex materials systems. However\, the main challenges are high accuracy\, reliability\, and computational efficiency of these models\, which critically depend on the training data sets. We develop ML interatomic potential models that are interpretable and uncertainty-aware\, and orders of magnitude faster than reference quantum methods. Principled uncertainty quantification built into these models enables the construction of autonomous data acquisition schemes using active learning. We demonstrate on-the-fly learning of machine learning force fields and use them to gain insights into previously inaccessible physical and chemical phenomena in ion conductors\, catalytic surface reactions\, 2D materials phase transformations\, and shape memory alloys.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-designing-energy-conversion-materials-with-ab-initio-and-active-machine-learning-computations-of-electron-phonon-and-ion-dynamics/
LOCATION:Zoom – email kathom@seas.upenn.edu
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201123T120000
DTEND;TZID=America/New_York:20201123T130000
DTSTAMP:20260407T152328
CREATED:20200908T171545Z
LAST-MODIFIED:20200908T171545Z
UID:10006483-1606132800-1606136400@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: “Mesenchymal progenitor cells and fat tissue remodeling" (Patrick Seale)
DESCRIPTION:“Mesenchymal progenitor cells and fat tissue remodeling” \nPhysical Sciences in Oncology Center PSOC@Penn \nFall 2020 Webinar Series Mondays @ Noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-mesenchymal-progenitor-cells-and-fat-tissue-remodeling-patrick-seale/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
END:VCALENDAR