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DTSTART;TZID=America/New_York:20210318T104500
DTEND;TZID=America/New_York:20210318T114500
DTSTAMP:20260407T172743
CREATED:20210305T182433Z
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SUMMARY:MSE Seminar: "When ions meet electrons --- Modeling the interfaces in Solid-State Batteries"
DESCRIPTION:With the rapid development of fast Li-ion conductors\, the major bottleneck for all-solid-state Li-ion batteries lies at the high interfacial resistance and Li dendrite growth. These problems require a fundamental understanding of the interfaces\, where charge transfer reactions occur and electrochemistry\, physics\, and solid mechanics are coupled. This talk will focus on the new mechanistic understanding obtained by the recently developed multi-scale modeling approaches. \nOne challenge for solid-state batteries is the high interfacial resistance\, due to two main factors: physical contact and chemical effect. The chemical effect was captured by a density functional theory (DFT)-informed theoretical model\, which predicts the potential map inside a solid-state battery and determines the potential drop\, electrostatic dipole\, and space-charge layer at the electrode/solid-electrolyte interface. This new physics insight unified the seemingly contradictory experimental observations and led to new device design rules to promote interfacial ion transport in future solid-state batteries. The physical contact was described by combining contact mechanics and the 1D Newman battery model. The model suggested how much pressure should be applied to recover the capacity drop due to contact area loss.\nAnother challenge for high energy density solid-state barriers using Li-metal electrodes is the soft Li dendrite growth inside the hard solid electrolytes. A DFT-informed phase-field method was developed and successfully explained the experimentally observed dendrite intergranular growth and revealed that the trapped electrons at grain boundaries and surfaces may be the main reason to reduce Li-ion and nucleate metallic Li. A new dendrite resistant criterion is therefore proposed. \nThese modeling advancements will be integrated into a new framework to guide the development of all-solid-state Li-ion batteries.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-when-ions-meet-electrons-modeling-the-interfaces-in-solid-state-batteries/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210317T150000
DTEND;TZID=America/New_York:20210317T160000
DTSTAMP:20260407T172743
CREATED:20210312T200831Z
LAST-MODIFIED:20210312T200831Z
UID:10006706-1615993200-1615996800@seasevents.nmsdev7.com
SUMMARY:Spring 2021 GRASP SFI: “Considerations for Human-Robot Collaboration”
DESCRIPTION:Abstract: The field of robotics has evolved over the past few decades. We’ve seen robots progress from the automation of repetitive tasks in manufacturing to the autonomy of mobilizing in unstructured environments to the cooperation of swarm robots that are centralized or decentralized. These abilities have required advances in robotic hardware\, modeling\, and artificial intelligence. The next frontier is robots collaborating in complex tasks with human teammates\, in environments traditionally configured for humans. While solutions to this challenge must utilize all the advances of robotics\, the human element adds a unique aspect that must be addressed. Collaborating with a human teammate means that the robot must have a contextual understanding of the task as well as all participant’s roles. We will discuss what constitutes an effective teammate and how we can capture this behavior in a robotic collaborator. \nClick here to join the Zoom meeting
URL:https://seasevents.nmsdev7.com/event/spring-2021-grasp-sfi-considerations-for-human-robot-collaboration/
LOCATION:Zoom
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:20210317T120000
DTEND;TZID=America/New_York:20210317T133000
DTSTAMP:20260407T172743
CREATED:20210315T181917Z
LAST-MODIFIED:20210315T181917Z
UID:10006712-1615982400-1615987800@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: PAACH  Restorative Practice Circle for Penn Faculty
DESCRIPTION:This event will be on Zoom. \nPlease click the link below to join the meeting: \nhttps://upenn.zoom.us/j/95642827861 \n 
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-paach-restorative-practice-circle-for-penn-faculty/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210317T120000
DTEND;TZID=America/New_York:20210317T130000
DTSTAMP:20260407T172743
CREATED:20210310T133921Z
LAST-MODIFIED:20210310T133921Z
UID:10006703-1615982400-1615986000@seasevents.nmsdev7.com
SUMMARY:PICS Alumni Spotlight: "Xiaoguai Li\, Quantitative Modeler/Data Scientist at JPMorgan Chase & Co."
DESCRIPTION:On Wednesday\, March 17 at 12:00 PICS will host an alumni spotlight featuring Xiaoguai Li\, an alumni of Celia Reina’s group. Xiaoguai is currently employed as a Quantitative Modeler/Data Scientist at JPMorgan Chase & Co. Xiaoguai will share what she has learned since graduation and what advice she can offer to current students.
URL:https://seasevents.nmsdev7.com/event/pics-alumni-spotlight-xiaoguai-li-quantitative-modeler-data-scientist-at-jpmorgan-chase-co/
LOCATION:Zoom – email kathom@seas.upenn.edu
CATEGORIES:Alumni
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210316T173000
DTEND;TZID=America/New_York:20210316T190000
DTSTAMP:20260407T172743
CREATED:20210315T181704Z
LAST-MODIFIED:20210315T181704Z
UID:10006711-1615915800-1615921200@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: PAACH Restorative Practice Circle for Penn Alumni
DESCRIPTION:This event will be on Zoom. \nPlease click the link below to join the meeting: \nhttps://upenn.zoom.us/j/98788759011 \n 
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-paach-restorative-practice-circle-for-penn-alumni/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210316T153000
DTEND;TZID=America/New_York:20210316T170000
DTSTAMP:20260407T172743
CREATED:20210315T181535Z
LAST-MODIFIED:20210315T181535Z
UID:10006710-1615908600-1615914000@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: PAACH Restorative Practice Circle for Penn Post-Docs
DESCRIPTION:This event will be on Zoom. \nPlease click the link below to join the meeting: \nhttps://upenn.zoom.us/j/93637094346
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-paach-restorative-practice-circle-for-penn-post-docs/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210316T150000
DTEND;TZID=America/New_York:20210316T160000
DTSTAMP:20260407T172743
CREATED:20210216T182340Z
LAST-MODIFIED:20210216T182340Z
UID:10006658-1615906800-1615910400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Human-AI Systems for Making Video Useful"
DESCRIPTION:Video is becoming a core medium for communicating a wide range of content\, including educational lectures\, vlogs\, and how-to tutorials. While videos are engaging and informative\, they lack the familiar and useful affordances of text for browsing\, skimming\, and flexibly transforming information. This severely limits who can interact with video content and how they can interact with it\, makes editing a laborious process\, and means that much of the information in videos is not accessible to everyone. \nBut\, what are the future systems will make videos useful for all users? \nIn this talk\, I’ll share my work creating interactive Human-AI systems that leverage multiple mediums of communication (e.g.\, text\, video\, and audio) across two main research areas: 1) helping domain-experts surface content of interest through interactive video abstractions\, and 2) making videos non-visually accessible through interactions for video accessibility. First I will share core challenges of seeking information in videos from interviews with domain experts. Then\, I will share new interactive systems that leverage AI\, and evaluations that demonstrate system efficacy. I will conclude with how hybrid HCI-AI breakthroughs will make digital communication more effective and accessible in the future\, and how new interactions can help us to realize the full potential of recent AI/ML advances.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-human-ai-systems-for-making-video-useful/
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:20210316T110000
DTEND;TZID=America/New_York:20210316T120000
DTSTAMP:20260407T172743
CREATED:20210224T184552Z
LAST-MODIFIED:20210224T184552Z
UID:10006671-1615892400-1615896000@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Surpassing Fundamental Limits through Time Varying Electromagnetics"
DESCRIPTION:Surpassing the fundamental limits that govern all electromagnetic structures\, such as reciprocity and the delay-bandwidth-size limit\, will have a transformative impact on all applications based on electromagnetic circuits and systems. For instance\, violating principles of reciprocity enables non-reciprocal components such as isolators and circulators\, which find application in full-duplex wireless radios\, radar\, bio-medical imaging\, and quantum computing systems. Overcoming the delay-bandwidth-size limit enables ultra-broadband yet extremely-compact devices whose size is not fundamentally related to the wavelength at the operating frequency. \nThe focus of my talk will be on using time-variance as a new toolbox to overcome these fundamental limits and re-imagine circuit design. Specifically\, I will focus on CMOS-integrated time-varying circuits and systems that have enabled: (i) integrated non-reciprocal components operating across frequencies ranging from RF to millimeter waves with multi-watt power handling\, (ii) reconfigurable microwave passive components with 100-1000× form-factor reduction\, (iii) integrated full-duplex wireless radios with wideband self-interference cancellation\, and (iv) the first non-reciprocal Floquet electromagnetic topological insulator with an ultra-wide bandgap. Our prototypes achieve the stringent performance envelopes that are required by practical wireless applications\, thus bringing the fields of integrated non-reciprocity and synthetic topological insulators to real-world applications. \nLooking to the future\, I will briefly describe early-stage cross-disciplinary collaborative research projects that investigate the use of time-varying circuits in cryogenic quantum computing applications and simultaneous-transmit-and-receive MRI.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-surpassing-fundamental-limits-through-time-varying-electromagnetics/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Student
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210316T103000
DTEND;TZID=America/New_York:20210316T120000
DTSTAMP:20260407T172743
CREATED:20210111T220348Z
LAST-MODIFIED:20210111T220348Z
UID:10006572-1615890600-1615896000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Control of Turbulent Wall Shear Flows and the Potential for 'Designer Turbulence'"
DESCRIPTION:The financial and environmental cost of turbulence is staggering: manage to quell turbulence in the thin boundary layers on the surface of a commercial airliner and you could almost halve the total aerodynamic drag\, dramatically cutting fuel burn\, emissions and cost of operation. Yet systems-level tools to model scale interactions or control turbulence remain relatively under-developed. Resolvent analysis for turbulent flow provides a simple\, but rigorous\, approach by which to deconstruct the full turbulence field into a linear combination of modes which interact through the nonlinear term. In this talk\, resolvent analysis is used to explore the influence of passive and active control techniques on turbulence structure. Model results obtained using desktop computing power are compared with direct numerical simulation and complex experiments\, highlighting the utility of resolvent analysis as a design tool for schemes to control wall turbulence\, and the dramatic reduction in complexity associated with sparsity and low-rank behavior in the resolvent. We close with a brief discussion of the potential to exploit these findings to create turbulence with specified\, or “designer” properties. \nThe support of the U.S. Air Force Office of Scientific Research under grant FA 9550-16-1-0361 and the U.S. Office of Naval Research under grant N00014-17-1-2307 is gratefully acknowledged.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-control-of-turbulent-wall-shear-flows-and-the-potential-for-designer-turbulence/
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:20210315T140000
DTEND;TZID=America/New_York:20210315T150000
DTSTAMP:20260407T172743
CREATED:20210309T172311Z
LAST-MODIFIED:20210309T172311Z
UID:10006692-1615816800-1615820400@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: Inclusive Technology\, Provocations for Research and Design
DESCRIPTION:Abstract: Perceptions of digital technology have grown increasingly cynical over the last decade\, fueled by crises from the Snowden leaks to Cambridge Analytica to disinformation campaigns.  Critical thinking about who is accommodated and who is excluded by mainstream technology is crucial for living up to promises of technology as empowering\, but what do these reflections look like on a practical level?  This talk reviews feminist critiques of technology and describes how otherness has been imagined in research on human computing interaction. Thinking about how practitioners and researchers imagine their users\, particularly users on the margins\, we can see key gaps in thinking\, and opportunities for building more inclusive and equitable relationships to technology. \nLink: Zoom \nAdd to Google Calendar
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-inclusive-technology-provocations-for-research-and-design/
LOCATION:PA
CATEGORIES:Diversity, Equity and Inclusion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210315T120000
DTEND;TZID=America/New_York:20210315T130000
DTSTAMP:20260407T172743
CREATED:20210309T182722Z
LAST-MODIFIED:20210309T182722Z
UID:10006695-1615809600-1615813200@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: "T Cell Circuits That Can Sense Antigen Density with an Ultrasensitive Threshold" (Rogello Hernandez-Lopez)
DESCRIPTION:Physical Sciences in Oncology Center (PSOC@Penn) Spring 2021 Webinar Series. For webinar link\, contact manu@seas.upenn.edu.
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-t-cell-circuits-that-can-sense-antigen-density-with-an-ultrasensitive-threshold-rogello-hernandez-lopez/
LOCATION:PA
CATEGORIES:Seminar,Postdoctoral
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210312T110000
DTEND;TZID=America/New_York:20210312T120000
DTSTAMP:20260407T172743
CREATED:20210215T192651Z
LAST-MODIFIED:20210215T192651Z
UID:10006656-1615546800-1615550400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Demystifying (Deep) Reinforcement Learning: The Optimist\, The Pessimist\, and Their Provable Efficiency"
DESCRIPTION:Coupled with powerful function approximators such as deep neural networks\, reinforcement learning (RL) achieves tremendous empirical successes. However\, its theoretical understandings lag behind. In particular\, it remains unclear how to provably attain the optimal policy with a finite regret or sample complexity. In this talk\, we will present the two sides of the same coin\, which demonstrates an intriguing duality between pessimism and optimism. \n– In the online setting\, we aim to learn the optimal policy by actively interacting with an environment. To strike a balance between exploration and exploitation\, we propose an optimistic least-squares value iteration algorithm\, which achieves a \sqrt{T} regret in the presence of linear\, kernel\, and neural function approximators. \n– In the offline setting\, we aim to learn the optimal policy based on a dataset collected a priori. Due to a lack of active interactions with the environment\, we suffer from the insufficient coverage of the dataset. To maximally exploit the dataset\, we propose a pessimistic least-squares value iteration algorithm\, which achieves a minimax-optimal sample complexity.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-demystifying-deep-reinforcement-learning-the-optimist-the-pessimist-and-their-provable-efficiency/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Student
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210311T104500
DTEND;TZID=America/New_York:20210311T114500
DTSTAMP:20260407T172743
CREATED:20210305T182131Z
LAST-MODIFIED:20210305T182131Z
UID:10006684-1615459500-1615463100@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Tailoring materials properties by ultrafast laser driving of collective modes"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-seminar-tailoring-materials-properties-by-ultrafast-laser-driving-of-collective-modes/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210309T150000
DTEND;TZID=America/New_York:20210309T163000
DTSTAMP:20260407T172743
CREATED:20210304T171708Z
LAST-MODIFIED:20210304T171708Z
UID:10006683-1615302000-1615307400@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: Truth Telling\, The Media\, and Social Equity
DESCRIPTION:Following Remarks by Penn President Amy Gutmann there will be a panel featuring: \nAndrea Mitchell – Chief Washington Correspondent and Chief Foreign Affairs Correspondent NBC News \nJamil Smith – Emmy Award Winning Producer and Senior Writer Rolling Stone \nDavid Freedlander – Journalist and Author of The AOC Generation: How Millenials are Seizing Power and Rewriting the Rules of American Politics \nJohn Jackson – Walter H. Annenberg Dean of the Annenberg School for Communication and Richard Perry University Professor. \nKayla Padilla – Founder and Editor and Chief of The Sideline Post\, Current Wharton Student\, and Member of the Penn Women’s Basketball Team \nThe panel will be moderated by Monica Yant Kinney (Chief of Staff and Chief Communications Officer University Life Division and former Metropolitan Columnist with The Philadelphia Inquirer) \nHope to see you all there for what promises to be an informative and challenging conversation! And please feel free to share the flyer and info with others.
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-truth-telling-the-media-and-social-equity/
LOCATION:PA
CATEGORIES:Diversity, Equity and Inclusion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210309T150000
DTEND;TZID=America/New_York:20210309T160000
DTSTAMP:20260407T172743
CREATED:20210216T164506Z
LAST-MODIFIED:20210216T164506Z
UID:10006657-1615302000-1615305600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Proof systems for governance\, transparency\, and privacy"
DESCRIPTION:Record-keeping has long played a critical role in society\, from governing property ownership to establishing historical “truth”. Today\, our dependence on digital records is becoming absolute\, from our personal wealth\, commerce\, and identities to sources of knowledge and news. This has elevated the importance of three competing dimensions: Who has control over how records are managed? Who can verify the integrity of record maintenance? Who can see the information in records? Over the last decade\, these questions have sparked the development of digital record-keeping systems called “blockchains”. \nThis talk will cover three proof systems that bring new capabilities for governance\, transparency\, and privacy in blockchains. I will first talk about new techniques for balancing transparency and privacy that achieve order-of-magnitude efficiency improvements over the prior state of the art. Next\, I will talk about two new proof systems pertaining to governance: Verifiable Delay Functions (VDFs) and Proofs-of-Replication (PoReps). VDFs enable an unbiased leader election protocol that will be used within the consensus of Ethereum 2.0. PoReps enable a “permission-less” consensus protocol where voting power is based on data storage capacity instead of Bitcoin’s energy-wasteful “proof-of-work”. PoReps are deployed in Filecoin\, a decentralized storage network exceeding a capacity of two exabytes that secures a cryptocurrency worth over two billion dollars.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-proof-systems-for-governance-transparency-and-privacy/
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:20210309T110000
DTEND;TZID=America/New_York:20210309T120000
DTSTAMP:20260407T172743
CREATED:20210209T144318Z
LAST-MODIFIED:20210209T144318Z
UID:10006638-1615287600-1615291200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Megahertz Power Electronics in Transportation and Healthcare Applications"
DESCRIPTION:The efficient use of electrical energy is a foundation of modern society. Power electronics is at the core of electrical energy conversion and greatly impacts a system’s size\, performance\, and cost. High-performance miniaturized power electronics can be a key enabling technology for many emerging applications\, such as electric vehicles (EV)\, medical devices\, and soft- and micro-robotics. \nThis talk presents a new generation of power electronic devices that leverage high-frequency (3-300 MHz) operations to reduce energy storage requirements and achieve a significant reduction in overall size and cost. New circuits and system architectures are introduced that enable such dramatic increases in operating frequencies. We will show several system examples\, including 1) a 1.7 kW inductive wireless power transfer system for EV charging\, 2) a 54 kV high-voltage power supply for Xray CT scanners\, and 3) a compact high-intensity focused ultrasound (HIFU) device for noninvasive cancer therapy\, to demonstrate the promising potential of high-performance megahertz power electronics in various applications.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-megahertz-power-electronics-in-transportation-and-healthcare-applications/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Student
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210309T104500
DTEND;TZID=America/New_York:20210309T114500
DTSTAMP:20260407T172743
CREATED:20210222T210359Z
LAST-MODIFIED:20210222T210359Z
UID:10006668-1615286700-1615290300@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Controlling ferroelectricity at the nanoscale: from oxide heterostructures to  freestanding crystalline membranes"
DESCRIPTION:Complex oxides are fascinating material systems exhibiting a diverse set of electrical\, magnetic\, and thermal properties. In particular\, ferroelectric oxides with an electrically switchable polarization and large dielectric and piezoelectric responses are considered as critical components for next-generation low-power logic devices\, non-volatile memories\, and nanoscale sensors and actuators\, etc. Recent advances in thin-film synthesis techniques including the synthesis of oxide heterostructures and crystalline membranes have provided opportunities for realizing novel functionality in ferroelectrics. In this talk\, I will show the ability to enable new device capabilities and emergent properties in the oxide heterostructures and crystalline membranes. First\, I will introduce the kinetic control of ferroelectric switching pathways to create multiple non-volatile polarization states in (111)-oriented PbZr0.2Ti0.8O3/SrTiO3 heterostructures. Such switching phenomena transcend the bi-stability of ferroelectric polarization and hold promise for multi-state functional applications. Second\, I will introduce our discovery of strain-induced ferroelectricity in quantum paraelectric SrTiO3 crystalline membranes\, which reveals enormous potential of employing membranes to create and enhance ferroelectricity in environmentally
URL:https://seasevents.nmsdev7.com/event/mse-seminar-controlling-ferroelectricity-at-the-nanoscale-from-oxide-heterostructures-to-freestanding-crystalline-membranes/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210309T103000
DTEND;TZID=America/New_York:20210309T120000
DTSTAMP:20260407T172743
CREATED:20210222T175347Z
LAST-MODIFIED:20210222T175347Z
UID:10006664-1615285800-1615291200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Understanding and Controlling Pattern Formation of Soft Materials"
DESCRIPTION:Soft elastic solids\, such as elastomers and hydrogels\, are used in many practical applications ranging from adhesives to biocompatible scaffolds for tissue engineering. Biological cells and tissues have very similar mechanical properties as those of soft materials. Such solids undergo large deformations and can respond to forces such as interfacial tension\, gravity\, and residual stresses due to growth by swelling. Understanding how soft solids destabilize to external fields are crucial to avoid failure and aid engineering of materials of targeted geometries and properties\, as well as inform us about morphogenesis in soft biomatter. My research focuses on understanding fundamental principles of how joint roles of surface tension\, elasticity\, gravity interact with geometric length scales of soft solids to exhibit interfacial and bulk pattern formation\, as well as drive self-assembly of patterns in soft bio-interfaces. Soft\, porous solids also interact with liquids to give rise to interesting self-excitable phenomena. I will discuss my research with a few examples of how patterns and motions are observed in soft elastic solids\, with the motivation of learning fundamental principles of deformability of soft materials as well as harnessing them for diverse engineering applications.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-understanding-and-controlling-pattern-formation-of-soft-materials/
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:20210308T160000
DTEND;TZID=America/New_York:20210308T170000
DTSTAMP:20260407T172743
CREATED:20210219T165512Z
LAST-MODIFIED:20210219T165512Z
UID:10006659-1615219200-1615222800@seasevents.nmsdev7.com
SUMMARY:ODEI Event: Climate Change and Urban Resilience
DESCRIPTION:Lolita Jackson\, Eng ’89\, has had distinguished careers in both finance and government. She currently serves as Special Advisor for Climate Policy & Programs in the NYC Mayor’s office and is also lead for the administration regarding global work on divestment and climate finance. In this talk she will describe how climate science has informed policy making and resilience planning in NYC. Lolita will also share her journey to Penn and the obstacles she overcame as a FGLI student during the 1980s\, and how her Penn Engineering education was instrumental in her career successes at both Morgan Stanley and the NYC Mayor’s Office. \n  \nZoom link: https://upenn.zoom.us/j/93852315224\nPasscode: 045597
URL:https://seasevents.nmsdev7.com/event/climate-change-and-urban-resilience/
LOCATION:https://upenn.zoom.us/j/96715197752
ORGANIZER;CN="Office of Diversity%2C Equity and Inclusion":MAILTO:odei@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210308T120000
DTEND;TZID=America/New_York:20210308T130000
DTSTAMP:20260407T172743
CREATED:20210120T165110Z
LAST-MODIFIED:20210120T165110Z
UID:10006587-1615204800-1615208400@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: Jorden Zev Gartner
DESCRIPTION:Physical Sciences in Oncology Center PSOC@Penn \nSpring 2021 Webinar Series Mondays at 12:00 noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu.
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-jorden-zev-gartner/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210308
DTEND;VALUE=DATE:20210311
DTSTAMP:20260407T172743
CREATED:20210209T155834Z
LAST-MODIFIED:20210209T155834Z
UID:10006642-1615161600-1615420799@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight:  Women of Color in Higher Education - Resilience and Empowerment Amidst Twin Pandemics
DESCRIPTION:Penn Graduate School of Education’s Office of Student Services and Center for Professional Learning are excited to announce the Women of Color in Higher Education: Resilience and Empowerment Amidst Twin Pandemics Virtual Institute. This annual program is open to Penn Faculty\, Staff\, and Graduate Students who identify as a woman of color or non-binary person of color. \nWe are living in a time of renewed vigilance in the fight for racial equity\, a pandemic that opened the wound of race-based health disparities and food insecurities\, and a political/social environment that reflects insidious social injustice across the country. As such\, the Women of Color in Higher Education program seeks to unite and strengthen networks and form mentorships for the Penn community* of both women of color and non-binary people of color. \n*Please note that this program is exclusive to Penn faculty\, staff\, graduate students\, and alumni.  \nProgram Schedule \nPlease see below for the most up-to-date program schedule. \n\n\n\nMonday\, March 8 \n5:00 – 7:00 PM ET\nOpening Ceremony and Keynote Address\n\n\nTuesday\, March 9 \n9:00 AM – 1:00 PM ET \n5:00 PM – 7:00 PM ET\nCircle Sessions* \n  \nCircle Sessions*\n\n\nWednesday\, March 10 \n9:00 AM – 1:00PM ET\nCircle Sessions* and Closing Ceremony and Fireside Chat\n\n\n\n*Circle sessions are small concurrent group discussions about resilience led by faculty and staff.  \nWhat You’ll Gain \n\nBuild supportive networks within and across sectors\nEngage in reflection on practice and mechanisms that foster resilience\nExpand capacity to recovery quickly from adversity\nCelebrate self and other women and non-binary leaders of color\nValidate adversities and share strategies to foster resilience\nGain insight into how to design professional environments that foster thriving of women and non-binary people of color in leadership roles\n\nWho Should Enroll \nThis event is exclusive to Penn Faculty\, Staff and Graduate Students who identify as a woman of color or non-binary person of color. \nMore Information Here
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-women-of-color-in-higher-education-resilience-and-empowerment-amidst-twin-pandemics/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210305T120000
DTEND;TZID=America/New_York:20210305T130000
DTSTAMP:20260407T172743
CREATED:20210211T184416Z
LAST-MODIFIED:20210211T184416Z
UID:10006650-1614945600-1614949200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Reliable Machine Learning in Feedback Systems"
DESCRIPTION:Machine learning techniques have been successful for processing complex information\, and thus they have the potential to play an important role in data-driven decision-making and control. However\, ensuring the reliability of these methods in feedback systems remains a challenge\, since classic statistical and algorithmic guarantees do not always hold. \nIn this talk\, I will provide rigorous guarantees of safety and discovery in dynamical settings relevant to robotics and recommendation systems. I take a perspective based on reachability\, to specify which parts of the state space the system avoids (safety) or can be driven to (discovery). For data-driven control\, we show finite-sample performance and safety guarantees which highlight relevant properties of the system to be controlled. For recommendation systems\, we introduce a novel metric of discovery and show that it can be efficiently computed. In closing\, I discuss how the reachability perspective can be used to design social-digital systems with a variety of important values in mind.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-reliable-machine-learning-in-feedback-systems/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Student
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210305T110000
DTEND;TZID=America/New_York:20210305T123000
DTSTAMP:20260407T172743
CREATED:20210226T213555Z
LAST-MODIFIED:20210226T213555Z
UID:10006678-1614942000-1614947400@seasevents.nmsdev7.com
SUMMARY:GRASP On Robotics: “Advancing Innovations for Robotic Teams in Complex Environments”
DESCRIPTION:Abstract: Complex real-world environments continue to present significant challenges for fielding robotic teams\, which often face expansive spatial scales\, difficult and dynamic terrain\, degraded environmental conditions\, and severe communication constraints. Breakthrough technologies call for integrated solutions across autonomy\, perception\, networking\, mobility\, and human teaming thrusts. As such\, the DARPA OFFSET program and the DARPA Subterranean Challenge seek novel approaches and new insights for discovering and demonstrating these innovative technologies\, to help close critical gaps for robotic operations in complex urban and underground environments. \nClick here to join the Zoom Webinar
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-advancing-innovations-for-robotic-teams-in-complex-environments/
LOCATION:https://upenn.zoom.us/j/96715197752
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:20210304T150000
DTEND;TZID=America/New_York:20210304T160000
DTSTAMP:20260407T172743
CREATED:20210210T215014Z
LAST-MODIFIED:20210210T215014Z
UID:10006648-1614870000-1614873600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Architecting Quantum Computing Systems in the Presence of Noise"
DESCRIPTION:Quantum computers may solve some problems beyond the reach of classical digital computers. However\, emerging quantum systems are typically noisy and difficult to control\, leaving a significant gap between the exacting requirements of quantum applications and the realities of noisy devices. Bridging this gap is crucial – my work adapts conventional computer systems techniques to meet the critical theoretical and experimental constraints in quantum processors. I divide my talk into three parts: (i) introducing my recent work on systematic noise mitigation for superconducting transmon qubits [MICRO’20]\, which enhances the robustness of quantum processors through coordination of control instructions; (ii) demonstrating efficient and reliable quantum memory management [ISCA’20]\, which implements automated tools for allocation\, reclamation and reuse of qubits in quantum programs\, much like in garbage collection for classical programs; (iii) discussing on-going work on implementing quasi-fault-tolerant rotation gates in quantum error correction\, which seeks to provide correctness guarantees for quantum applications by encoding quantum bits in a way that errors can be detected and corrected\, analogous to classical error-correcting codes.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-architecting-quantum-computing-systems-in-the-presence-of-noise/
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:20210304T110000
DTEND;TZID=America/New_York:20210304T130000
DTSTAMP:20260407T172743
CREATED:20210224T142236Z
LAST-MODIFIED:20210224T142236Z
UID:10006670-1614855600-1614862800@seasevents.nmsdev7.com
SUMMARY:BE Dissertation Defense: "Uncovering Constraints on Organoid Morphologies" (Lauren Beck)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Arjun Raj are pleased to announce the Doctoral Dissertation Defense of Lauren Beck.\n\n\nTitle: Uncovering Constraints on Organoid Morphologies\n\nDate: March 4\, 2021\n\nTime: 11:00 AM\n\nZoom Link: https://upenn.zoom.us/j/94130810306\n\nThe public is welcome to attend via zoom.
URL:https://seasevents.nmsdev7.com/event/be-dissertation-defense-uncovering-constraints-on-organoid-morphologies-lauren-beck/
LOCATION:Zoom
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210304T110000
DTEND;TZID=America/New_York:20210304T120000
DTSTAMP:20260407T172743
CREATED:20210211T142929Z
LAST-MODIFIED:20210211T142929Z
UID:10006649-1614855600-1614859200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "High-Level Synthesis of Dynamically Scheduled Circuits"
DESCRIPTION:The slowdown in transistor scaling and the end of Moore’s law indicate a need to invest in new computing paradigms; specialized hardware devices\, such as FPGAs and ASICs\, are a promising solution as they can achieve high processing capabilities and energy efficiency. However\, a major barrier to the global success of specialized computing is the difficulty of hardware design. High-level synthesis (HLS) tools generate digital hardware designs from high-level programming languages (e.g.\, C/C++) and promise to liberate designers from low-level hardware description details. Yet\, HLS tools are still acceptable only for certain classes of applications and criticized for the difficulty of extracting the desired level of performance: generating good circuits still requires tedious code restructuring and hardware design expertise. \nIn this talk\, I will present a new HLS methodology that produces dynamically scheduled\, dataflow circuits out of C/C++ code; the resulting circuits achieve good performance out-of-the-box and realize behaviors that are beyond the capabilities of standard HLS tools. I will describe mathematical models to optimize the performance and area of the resulting circuits\, as well as techniques to achieve characteristics that standard HLS cannot support\, such as out-of-order memory accesses and speculative execution. These contributions redefine the HLS paradigm by introducing characteristics of modern superscalar processors to hardware designs; such behaviors are key for specialized computing to be successful in new contexts and broader application domains.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-high-level-synthesis-of-dynamically-scheduled-circuits/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Student
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210304T104500
DTEND;TZID=America/New_York:20210304T114500
DTSTAMP:20260407T172743
CREATED:20210222T210218Z
LAST-MODIFIED:20210222T210218Z
UID:10006667-1614854700-1614858300@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Engineering nanoparticle-cell interactions: using a library-based approach to guide drug carrier design"
DESCRIPTION:Nanoparticles offer huge promise as drug delivery vehicles\, though their translation to the clinic is hampered due to limited accumulation at target disease sites. To overcome this hurdle\, we have employed colloidal layer-by-layer assembly to generate comprehensive nanoparticle libraries to study the role of chemical composition in nanoparticle targeting\, trafficking\, and uptake. In this seminar\, use of these libraries to study interactions with ovarian cancer cells and develop a new class of multifunctional drug carriers will first be discussed. Expansion of our library-based approach via the use of high throughput\, pooled screening and correlative genomics will be detailed in the second half. Key underlying principles from these studies will be highlighted for their potential to influence future nanocarrier design.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-engineering-nanoparticle-cell-interactions-using-a-library-based-approach-to-guide-drug-carrier-design/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210303T150000
DTEND;TZID=America/New_York:20210303T160000
DTSTAMP:20260407T172743
CREATED:20210210T211157Z
LAST-MODIFIED:20210210T211157Z
UID:10006647-1614783600-1614787200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "The Measurement and Mismeasurement of Trustworthy ML"
DESCRIPTION:Across healthcare\, science\, and engineering\, we increasingly employ machine learning (ML) to automate decision-making that\, in turn\, affects our lives in profound ways. However\, ML can fail\, with significant and long-lasting consequences. Reliably measuring such failures is the first step towards building robust and trustworthy learning machines. Consider algorithmic fairness\, where widely-deployed fairness metrics can exacerbate group disparities and result in discriminatory outcomes. Moreover\, existing metrics are often incompatible. Hence\, selecting fairness metrics is an open problem. Measurement is also crucial for robustness\, particularly in federated learning with error-prone devices. Here\, once again\, models constructed using well-accepted robustness metrics can fail. Across ML applications\, the dire consequences of mismeasurement are a recurring theme. This talk will outline emerging strategies for addressing the measurement gap in ML and how this impacts trustworthiness.
URL:https://seasevents.nmsdev7.com/event/4212/
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:20210303T150000
DTEND;TZID=America/New_York:20210303T160000
DTSTAMP:20260407T172743
CREATED:20210122T020721Z
LAST-MODIFIED:20210122T020721Z
UID:10006608-1614783600-1614787200@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Metal-Organic Frameworks as Tunable Platforms for Gas Storage\, Chemical Separations and Catalysis"
DESCRIPTION:Abstract \nMetal-organic frameworks (MOFs) are a versatile class of nanoporous materials synthesized in a “building-block” approach from inorganic nodes and organic linkers.  By selecting appropriate building blocks\, the structural and chemical properties of the resulting materials can be finely tuned\, and this makes MOFs promising materials for applications such as gas storage\, chemical separations\, sensing\, drug delivery\, and catalysis.  This talk will focus on efforts to design or screen MOFs for separating mixtures of small molecules\, for gas storage\, and for catalysis.  Because of the predictability of MOF synthetic routes and the nearly infinite number of possible structures\, molecular modeling is an attractive tool for screening new MOFs before they are synthesized.  Modeling can also provide insight into the molecular-level details that lead to observed macroscopic properties.  This talk will illustrate how a combined modeling and experimental approach can be used to discover\, develop\, and ultimately design new MOFs for desired separation\, storage\, and catalysis applications.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-metal-organic-frameworks-as-tunable-platforms-for-gas-storage-chemical-separations-and-catalysis/
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:20210303T110000
DTEND;TZID=America/New_York:20210303T123000
DTSTAMP:20260407T172743
CREATED:20210226T171601Z
LAST-MODIFIED:20210226T171601Z
UID:10006677-1614769200-1614774600@seasevents.nmsdev7.com
SUMMARY:Spring 2021 GRASP SFI: “Safe and Data-efficient Learning for Robotics”
DESCRIPTION:Abstract: For successful integration of autonomous systems such as drones and self-driving cars in our day-to-day life\, they must be able to quickly adapt to ever-changing environments\, and actively reason about their safety and that of other users and autonomous systems around them. Even though control-theoretic approaches have been used for decades now for the control and safety analysis of autonomous systems\, these approaches typically operate under the assumption of a known system dynamics model and the environment in which the system is operating. To overcome these challenges\, machine learning approaches have been explored to operate autonomous systems intelligently and reliably in unpredictable environments based on prior data. However\, learning techniques widely used today are extremely data inefficient\, making it challenging to apply them to real-world physical systems. Moreover\, they lack the necessary mathematical framework to provide guarantees on correctness\, causing safety concerns as data-driven physical systems are integrated in our society.\nIn this talk\, we will present a toolbox of methods combining robust optimal control with data-driven techniques inspired by machine learning\, to enable performance improvement while maintaining safety. In particular\, we design modular architectures that combine system dynamics models with modern learning-based perception approaches to solve challenging perception and control problems in ​a priori unknown environments in a data-efficient fashion. These approaches are demonstrated on a variety of ground robots navigating in unknown buildings around humans based only on onboard visual sensors. Next\, we discuss how we can use optimal control methods not only for data-efficient learning\, but also to monitor and recognize the learning system’s failures\, and to provide online corrective safe actions when necessary. This allows us to provide safety assurances for learning-enabled systems in unknown and human-centric environments\, which has remained a challenge to date. \nClick here to join the Zoom meeting
URL:https://seasevents.nmsdev7.com/event/spring-2021-grasp-sfi-safe-and-data-efficient-learning-for-robotics/
LOCATION:Zoom
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
END:VCALENDAR