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DTSTART;TZID=America/New_York:20221014T160000
DTEND;TZID=America/New_York:20221014T163000
DTSTAMP:20260405T175947
CREATED:20221012T195455Z
LAST-MODIFIED:20221012T195455Z
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SUMMARY:P.E.S.T.L.E. Orientation - October 14
DESCRIPTION:Join PESTLE for our Zoom Orientation session on Friday\, October 14 at 4:00 pm! Please email us at pestle@seas.upenn.edu if you have any questions.
URL:https://seasevents.nmsdev7.com/event/pestle-orientation-october-14/
LOCATION:https://upenn.zoom.us/j/96715197752
ORGANIZER;CN="Research and Academic Services":MAILTO:ras@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221018T100000
DTEND;TZID=America/New_York:20221018T113000
DTSTAMP:20260405T175947
CREATED:20220830T154411Z
LAST-MODIFIED:20220830T154411Z
UID:10007237-1666087200-1666092600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Exergy-based Methods as a Promising Modern Thermodynamic Evaluation and Optimization Tool"
DESCRIPTION:Exergy-based methods are powerful tools for developing\, evaluating\, understanding\, and improving energy conversion systems. In addition to conventional methods\, advanced exergy-based analyses consider (a) the interactions among components of the overall system\, and (b) the real potential for improving each important system component. The main role of an advanced analysis is to provide energy conversion system designers and operators with information useful for improving the design and operation of such systems. This presentation will include the advanced exergy-based evaluations and optimization methods as well. Advanced exergy-based method means splitting the exergy destruction\, the capital investment cost\, and the component-related environmental impact associated with each single component of an energy conversion system into endogenous/exogenous and avoidable/unavoidable parts and using a further splitting of the exogenous exergy destruction improves (a) our understanding of the processes that take place\, and (b) the quality of the conclusions for improvement obtained from the analysis. It will be discussed the main features and some recent developments in the area of advanced exergy-based methods. Application of the method to different energy-conversion systems will be demonstrated.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-exergy-based-methods-as-a-promising-modern-thermodynamic-evaluation-and-optimization-tool/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221018T120000
DTEND;TZID=America/New_York:20221018T130000
DTSTAMP:20260405T175947
CREATED:20220901T140716Z
LAST-MODIFIED:20220901T140716Z
UID:10007242-1666094400-1666098000@seasevents.nmsdev7.com
SUMMARY:Joint PSOC/Center for Soft & Living Matter Seminar: “Feeling for cell function” (Jochen Guck\, Max Planck Institute)
DESCRIPTION:Fall 2022 Hybrid-Seminar Series  \nSpecial joint seminar on Tuesday October 18th at 12:00 Noon \nTowne 225 / Raisler Lounge   \nFor Zoom link\, please contact <manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/joint-psoc-center-for-soft-living-matter-seminar-feeling-for-cell-function-jochen-guck-max-planck-institute/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221018T153000
DTEND;TZID=America/New_York:20221018T163000
DTSTAMP:20260405T175947
CREATED:20221005T151746Z
LAST-MODIFIED:20221005T151746Z
UID:10007319-1666107000-1666110600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Equilibrium Complexity and Deep Learning"
DESCRIPTION:Deep Learning has recently made significant progress in learning challenges such as speech and image recognition\, automatic translation\, and text generation\, much of that progress being fueled by the success of gradient descent-based optimization methods in computing local optima of non-convex objectives. From robustifying machine learning models against adversarial attacks to causal inference\, training generative models\, multi-robot interactions\, and learning in strategic environments\, many outstanding challenges in Machine Learning lie at its interface with Game Theory. On this front\, however\, Deep Learning has been less successful. Here\, the role of single-objective optimization is played by equilibrium computation\, but gradient-descent based methods fail to find equilibria\, and even computing local equilibria — the analog of computing local optima in single-agent settings — has remained elusive. \n \nWe shed light on these challenges through a combination of learning-theoretic\, complexity-theoretic\, and game-theoretic techniques\, presenting obstacles and opportunities for Machine Learning and Game Theory going forward\, including recent progress on multi-agent reinforcement learning.\n \n(I will assume no deep learning\, game theory\, or complexity theory background for this talk and present results from joint works with Noah Golowich\, Stratis Skoulakis\, Manolis Zampetakis\, and Kaiqing Zhang.)
URL:https://seasevents.nmsdev7.com/event/cis-seminar-equilibrium-complexity-and-deep-learning/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221019T120000
DTEND;TZID=America/New_York:20221019T133000
DTSTAMP:20260405T175947
CREATED:20220909T133002Z
LAST-MODIFIED:20220909T133002Z
UID:10007262-1666180800-1666186200@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: New approaches to detecting and adapting to domain shifts in machine learning\, Zico Kolter\, Ph.D. (Carnegie Mellon University)
DESCRIPTION:ABSTRACT: \nMachine learning systems\, in virtually every deployed system\, encounter data from a qualitatively different distribution than what they were trained upon.  Effectively dealing with this problem\, known as domain shift\, is thus perhaps the key challenge in deploying machine learning methods in practice.  In this talk\, I will motivate some of these challenges in domain shift\, and highlight some of our recent work on two topics.  First\, I will present our work on determining if we can even just evaluate the performance of machine learning models under distribution shift\, without access to labelled data.  And second\, I will present work on how we can better adapt our classifiers to new data distributions\, again assuming access only to unlabelled data in the new domain.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-zico-kolter-carnegie-mellon-university/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221019T150000
DTEND;TZID=America/New_York:20221019T160000
DTSTAMP:20260405T175947
CREATED:20221012T173334Z
LAST-MODIFIED:20221012T173334Z
UID:10007330-1666191600-1666195200@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP SFI: Srinath Sridhar\, Brown University\, “Learning to Generate\, Edit\, and Arrange 3D Shapes"
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. \nABSTRACT\nIn computer vision and robotics\, we often need to deal with 3D objects. For instance\, we may want to generate instances of 3D chairs\, edit the generated chairs using natural language instructions\, or arrange them in a canonical orientation. In this talk\, I will present some of our work on addressing these problems. First\, I will talk about ShapeCrafter\, a model for recursively generating and modifying 3D shapes using natural language descriptions. ShapeCrafter generates a 3D shape distribution that gradually evolves as more phrases are added resulting in shapes closer to text instructions. In addition\, I will introduce the notions of invariance\, equivariance\, and ‘canonicalization’\, and discuss their importance in 3D understanding. I will describe ConDor\, a self-supervised method for canonicalizing the orientation of full and partial 3D shapes. Finally\, I will identify future directions including opportunities for expanding 3D understanding to neural fields\, articulating objects\, and object collections.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-srinath-sridhar-brown-university-tba/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221020T153000
DTEND;TZID=America/New_York:20221020T163000
DTSTAMP:20260405T175947
CREATED:20221005T153839Z
LAST-MODIFIED:20221005T153839Z
UID:10007320-1666279800-1666283400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Rater Equivalence: An Interpretable Measure of Classifier Accuracy Against Human Labels"
DESCRIPTION:In many classification tasks\, the ground truth is either noisy or subjective. Examples of noisy ground truth include: does this radiology image show a cancerous growth? does this radar data portend an imminent tornado? Examples of subjective ground truth include: which of two alternative paper titles is better? is this comment toxic? what is the political leaning of this news article? We refer to tasks where human labels are the only indication of ground truth available at the time that decisions must be made as survey settings. In these settings\, measures of classifier accuracy against human labels\, such as precision\, recall\, and cross-entropy\, confound the quality of the classifier with the level of agreement among human raters. Thus\, they have no meaningful interpretation on their own. We describe a procedure that\, given a dataset with predictions from a classifier and K labels per item\, rescales any underlying accuracy measure into one that has an intuitive interpretation. The K raters are divided into a source panel and a target panel. The source panel’s labels for an item are combined to produce a predicted label for another rater. Both the source panel predictions and classifier predictions are scored against the same target panel’s labels. The rater equivalence of any classifier is the minimum number of source raters needed to produce the same expected score as that found for the classifier. We explore the stability of the rater equivalence measure as the target panel size varies and find one underlying measure\, determinant mutual information\, for which it is invariant.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-rater-equivalence-an-interpretable-measure-of-classifier-accuracy-against-human-labels/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221020T223000
DTEND;TZID=America/New_York:20221020T233000
DTSTAMP:20260405T175947
CREATED:20221006T171538Z
LAST-MODIFIED:20221006T171538Z
UID:10007326-1666305000-1666308600@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: “What Governs Grain Boundary Migration?"
DESCRIPTION:Curvature is the common driving force for grain boundary motion in all polycrystals. However\, models and simulations derived from curvature-based motion cannot predict irregular\, albeit commonly observed\, grain growth behavior. To build better predictive models\, we need to employ new tools to understand what governs grain growth. First\, I will demonstrate how high energy x-ray diffraction microscopy (HEDM) can be used to observe grain growth in real 3D polycrystalline systems. In a grain growth study employing HEDM of strontium titanate\, we find that curvature is a poor predictor of grain boundary migration. Instead\, anisotropic grain boundary properties are hypothesized to override the contribution of curvature. Second\, I will describe how reinforcement learning\, a machine learning tool\, can capture the underlying behavior of an evolving Markov decision process and “teach” it to maximize the “rewards” regarding the agreement between prediction and simulation. To demonstrate the feasibility of this approach\, we built a deep reinforcement model that emulates grain growth by training on Monte Carlo Potts grain growth simulations. The developed reinforcement model was validated on different microstructural architectures to ensure that it captures the underlying physics. The accuracy of our short and long-term predictions will be evaluated. Then\, I will discuss how HEDM and our machine learning model can be combined to understand how anisotropic grain boundaries migrate in 3D polycrystals.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-what-governs-grain-boundary-migration/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221021T103000
DTEND;TZID=America/New_York:20221021T114500
DTSTAMP:20260405T175947
CREATED:20220926T165944Z
LAST-MODIFIED:20220926T165944Z
UID:10007306-1666348200-1666352700@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP on Robotics: Jim Ostrowski\, Blue River Technology\, "Robotics and Deep Learning in Production Agriculture"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \n  \nABSTRACT\nWith a growing population to feed\, a heightened awareness of the environmental impact of agriculture\, and continued challenges of labor availability\, the need is greater than ever for advanced technologies applied to automation and autonomy in agriculture.  In this talk\, I will describe two projects that we have been developing\, and discuss the role of robotics\, computer vision\, and machine learning in delivering commercially viable products.  The products include a smart spraying solution called See & Spray Ultimate and an autonomous tractor for tillage.  I will explore some of the key focus areas\, technological development\, and common themes that have allowed us to move these products to production.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-on-robotics-jim-ostrowski-blue-river-technology/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221021T120000
DTEND;TZID=America/New_York:20221021T130000
DTSTAMP:20260405T175947
CREATED:20221017T141305Z
LAST-MODIFIED:20221017T141305Z
UID:10007332-1666353600-1666357200@seasevents.nmsdev7.com
SUMMARY:PRECISE Center/xLab presents: Routing with Privacy for drone package delivery systems\, Max Z. Li\, Ph.D. (University of Michigan)
DESCRIPTION:ABSTRACT: \nUncrewed aerial vehicles (UAVs)\, or drones\, are increasingly being used to deliver goods from vendors to customers. To safely conduct these operations at scale\, drones are required to broadcast position information as codified in remote identification (remote ID) regulations. However\, location broadcast of package delivery drones introduces a privacy risk for customers using these delivery services: Third-party observers may leverage broadcast drone trajectories to link customers with their purchases\, potentially resulting in a wide range of privacy risks. \nWe propose a probabilistic definition of privacy risk based on the likelihood of associating a customer to a vendor given a package delivery route. Next\, we quantify these risks\, enabling drone operators to assess privacy risks when planning delivery routes. We then evaluate the impacts of various factors (e.g.\, drone capacity) on privacy and consider the trade-offs between privacy and delivery wait times. Finally\, we propose heuristics for generating routes with privacy guarantees to avoid exhaustive enumeration of all possible routes and evaluate their performance on several realistic delivery scenarios.
URL:https://seasevents.nmsdev7.com/event/precise-center-xlab-presents-routing-with-privacy-for-drone-package-delivery-systems-max-z-li-ph-d-university-of-michigan/
LOCATION:Levine Hall 279\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221021T140000
DTEND;TZID=America/New_York:20221021T150000
DTSTAMP:20260405T175947
CREATED:20221010T134351Z
LAST-MODIFIED:20221010T134351Z
UID:10007329-1666360800-1666364400@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Computation of Flow-Induced Sound at Low Mach Numbers"
DESCRIPTION:Abstract: Flow-induced noise is a significant problem for air\, road and marine vehicles as well as many other engineering applications.  At low Mach numbers\, large disparities in energy levels and length scales between the flow and the concomitant sound present unique challenges for acoustic predictions.  This talk will start with a brief overview of computational methods for low-Mach-number flow noise in the framework of Lighthill’s aeroacoustic theory in combination with high-fidelity flow simulations\, followed by a discussion of recent investigations of several aeroacoustic problems involving airframe noise and propeller noise.  A study of rotor interaction with an axisymmetric turbulent boundary layer (TBL) at the tail-end of a body of revolution (BOR) will be highlighted.  The TBL on the nose and midsection of the BOR is computed using wall-modeled large-eddy simulation whereas that in the acoustically important tail-cone section is wall resolved.  This approach is shown to predict the correct turbulence statistics of rotor inflow and sound-pressure spectra compared with experimental data.  Correlation and spectral analyses demonstrate rapidly growing turbulence structures in the decelerating tail-cone TBL whose interaction with successive rotor blades generates spectral peaks\, known as haystacking peaks\, in the broadband sound pressure spectra.  The spatial and frequency characteristics of blade acoustic dipole sources will be discussed in relation to the turbulence properties of the boundary layer.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-computation-of-flow-induced-sound-at-low-mach-numbers/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221024T130000
DTEND;TZID=America/New_York:20221024T140000
DTSTAMP:20260405T175947
CREATED:20220901T140904Z
LAST-MODIFIED:20220901T140904Z
UID:10007243-1666616400-1666620000@seasevents.nmsdev7.com
SUMMARY:PSOC Seminar: Jamal S. Lewis\, University of Florida
DESCRIPTION:Fall 2022 Hybrid-Seminar Series  \nMondays 1.00-2.00 pm (EST)  \nTowne 225 / Raisler Lounge   \nFor Zoom link\, please contact <manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-seminar-jamal-s-lewis-university-of-florida/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221025T100000
DTEND;TZID=America/New_York:20221025T113000
DTSTAMP:20260405T175947
CREATED:20220926T131346Z
LAST-MODIFIED:20220926T131346Z
UID:10007305-1666692000-1666697400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Predicting and Reducing High-Speed Jet Noise"
DESCRIPTION:The intense noise radiated by supersonic jets leads to sound-induced structural vibration\, fatigue and personnel-related operational difficulties. Experimental\, theoretical\, and computational investigations into the physics and control of jet noise have identified several important sound sources\, including wavepackets\, screech\, Mach wave radiation\, and broadband shock associated noise. Reducing the loudest sources of jet noise\, without sacrificing propulsive performance\, has relied on intuition\, parametric survey\, or optimal control techniques. With the aim of developing a more general and robust method of jet noise reduction\, we present a physics-based approach that reveals jet dynamics/mechanisms\, highlighted by a linear resolvent analysis\, crucial to the the generation of jet noise in a biconical tactical jet nozzle. Our approach uses large-eddy simulation to predict the turbulent flow within and exhausted by the jet nozzle and then identifies optimal forcing/response modes of the compressible Navier-Stokes operator\, linearized about a fully-resolved jet mean flow\, to identify and manipulate coherent structures that are primarily responsible for the production of jet noise. The operating conditions of the jet and nozzle geometry are motivated by tactical Naval aircraft.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-predicting-and-reducing-high-speed-jet-noise/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221025T153000
DTEND;TZID=America/New_York:20221025T163000
DTSTAMP:20260405T175947
CREATED:20221006T130805Z
LAST-MODIFIED:20221006T130805Z
UID:10007321-1666711800-1666715400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "The Long Arm of Theoretical Computer Science: A Case Study in Blockchains/Web3"
DESCRIPTION:Blockchains that support a general contract layer (e.g.\, Ethereum) export the functionality of a general-purpose\, ownerless\, and open-access computer that can enforce property rights for digital data.  How is such functionality implemented?  Using a lot of extremely cool computer science ideas! And like everywhere else in computer science\, theory plays an undeniable role in the understanding and advancement of this technology.  In this talk\, Tim Roughgarden will highlight three examples (among many): \n\nPossibility and impossibility results for permissionless consensus (i.e.\, implementing an “ownerless” computer).\nIncentive-compatible transaction fee mechanism design (part of implementing an “open-access” computer).\nSuccinct proofs of computation (for boosting the computer’s power by piggybacking on off-chain computation).\n\nParts of this talk are based on joint work with Andrew Lewis-Pye.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-the-long-arm-of-theoretical-computer-science-a-case-study-in-blockchains-web3/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221026T120000
DTEND;TZID=America/New_York:20221026T133000
DTSTAMP:20260405T175947
CREATED:20220909T133145Z
LAST-MODIFIED:20220909T133145Z
UID:10007263-1666785600-1666791000@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: How to Design Molecules that Dock Well but Can't Exist\, Jacob Gardner\, Ph.D.
DESCRIPTION:ABSTRACT:BIO \nMachine learning has become an indispensable aid to researchers developing the next generation of novel therapeutics. In this talk\, I will discuss how some of the most important problems  in virtual screening for new potential drug molecules can be cast as black-box optimization problems\, where the goal is to find molecules maximizing some desired property — for example\, the binding affinity to a known drug target. By leveraging recent work on representation learning for molecules and high dimensional black-box optimization\, we are able to achieve up to a 20x performance improvement over state of the art on several of the most widely used benchmarks for molecule design. I will then show how this powerful new approach reveals flaws in tools commonly used for computational molecule design. Even the most widely used docking simulators can be fooled by a sufficiently powerful optimizer producing molecules that could not plausibly exist in nature — a challenge reminiscent of adversarial image generation in computer vision. These findings can be mitigated to a degree through the use of constrained optimization\, but also motivate adapting lessons from robust machine learning to the docking simulators themselves.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-jake-gardner-university-of-pennsylvania/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221026T150000
DTEND;TZID=America/New_York:20221026T160000
DTSTAMP:20260405T175947
CREATED:20221021T151534Z
LAST-MODIFIED:20221021T151534Z
UID:10007336-1666796400-1666800000@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP SFI: Charlie Andersen and Terry Scott\, Burro\, "Founders' journey of building a robotics company in Philadelphia"
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. \nABSTRACT\nCharlie Andersen (CEO) and Terry Scott (CTO) are two of the founders of Burro. They share their origin story of Burro and we follow their journey of building a robotics company and a product intended to bring new life into an ancient industry. Off a small launchpad of accelerator funding and Charlie’s personal savings\, they build their proof of concept utility robot and target specific sectors within agriculture to garner interest and investment. With the closure of a seed round\, they embarked on turning that proof-of-concept into a functional prototype. They will share how the company\, product and technology has evolved from 4 people and an idea to a company with 33 members and growing\, with one of the largest deployed operational robotic fleets within agricultural robotics.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-charlie-andersen-and-terry-scott-burro-founders-journey-of-building-a-robotics-company-in-philadelphia/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221026T153000
DTEND;TZID=America/New_York:20221026T163000
DTSTAMP:20260405T175947
CREATED:20220909T195650Z
LAST-MODIFIED:20220909T195650Z
UID:10007275-1666798200-1666801800@seasevents.nmsdev7.com
SUMMARY:CHANCE LECTURE (CBE Seminar Series): "A Fluid Paradigm for Biological Organization" (Clifford P. Brangwynne\, Princeton University)
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/chance-lecture-cbe-seminar-series-a-fluid-paradigm-for-biological-organization-clifford-p-brangwynne-princeton-university/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Distinguished Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221027T103000
DTEND;TZID=America/New_York:20221027T113000
DTSTAMP:20260405T175947
CREATED:20221006T171810Z
LAST-MODIFIED:20221006T171810Z
UID:10007327-1666866600-1666870200@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: “A More Sustainable Future via Polymer Circularity"
DESCRIPTION:In a Circular Economy\, atoms and molecules are kept inside the economy where they continue to produce value\, and they are kept out of unwanted places like our environment.  At a high level\, this concept applied to polymers and plastics should reduce the flow of material into the environment\, while improving efficiency and reducing demand for natural resources\, but the reality is much more complex.  When considering the full supply chain\, from design and manufacture\, to use and retrieval\, the system is full of challenges and potential for leakage.  The only way to ensure progress\, is to design changes to the system with these fundamental goals in mind\, and to build the measurement and data frameworks that can support difficult decision-making and confidence in the results.  The talk will present some NIST activities in fundamental materials design and measurement relevant to this larger need\, including polyolefin molecular design for improved recovery\, and models and processes to improve compatibilization of polymer blends relevant to mechanical recycling.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-a-more-sustainable-future-via-polymer-circularity/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221027T153000
DTEND;TZID=America/New_York:20221027T163000
DTSTAMP:20260405T175947
CREATED:20221020T201809Z
LAST-MODIFIED:20221020T201809Z
UID:10007338-1666884600-1666888200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Designing Hardware for Cryptography and Cryptography for Hardware"
DESCRIPTION:There have been few high-impact deployments of hardware implementations of cryptographic \nprimitives. We present the benefits and challenges of hardware acceleration of sophisticated \ncryptographic primitives and protocols\, and describe our recent design work in accelerating \nFully Homomorphic Encryption by three to four orders of magnitude using programmable hardware \naccelerators. We argue the significant potential for synergistic codesign of cryptography and \nhardware\, where customized hardware accelerates cryptographic protocols that are designed with \nhardware acceleration in mind.\n\nJoint work with Daniel Sanchez's group at MIT.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-designing-hardware-for-cryptography-and-cryptography-for-hardware/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221027T153000
DTEND;TZID=America/New_York:20221027T163000
DTSTAMP:20260405T175947
CREATED:20221021T181048Z
LAST-MODIFIED:20221021T181048Z
UID:10007339-1666884600-1666888200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Designing Hardware for Cryptography and Cryptography for Hardware"
DESCRIPTION:There have been few high-impact deployments of hardware implementations of cryptographic primitives. \nWe present the benefits and challenges of hardware acceleration of sophisticated cryptographic primitives \nand protocols\, and describe our recent design work in accelerating Fully Homomorphic Encryption by three \nto four orders of magnitude using programmable hardware accelerators. We argue the significant potential \nfor synergistic codesign of cryptography and hardware\, where customized hardware accelerates cryptographic \nprotocols that are designed with hardware acceleration in mind.\n\nJoint work with Daniel Sanchez's group at MIT.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-designing-hardware-for-cryptography-and-cryptography-for-hardware-2/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221028T103000
DTEND;TZID=America/New_York:20221028T114500
DTSTAMP:20260405T175947
CREATED:20220929T182913Z
LAST-MODIFIED:20220929T182913Z
UID:10007313-1666953000-1666957500@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP on Robotics: Daniel Hashimoto\, University of Pennsylvania\, "Building Multidisciplinary Teams for Surgical Translation of Artificial Intelligence"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \nABSTRACT\n\nSurgical Data Science aims to improve the quality of interventional healthcare and its value through capture\, organization\, analysis and modelling of data. The operating room has long been siloed from in-depth review and analysis\, but recent advances in computer vision and surgical robotics offer the promise of improved understanding of intraoperative events. However\, challenges remain around collecting and annotating intraoperative data and modeling complex physiological phenomena and workflow during surgery. We will explore a few of these issues and discuss the role of multidisciplinary teams in promoting the democratization of surgical knowledge through surgical data science.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-on-robotics-daniel-hashimoto-university-of-pennsylvania/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221028T160000
DTEND;TZID=America/New_York:20221028T170000
DTSTAMP:20260405T175947
CREATED:20221017T191434Z
LAST-MODIFIED:20221017T191434Z
UID:10007333-1666972800-1666976400@seasevents.nmsdev7.com
SUMMARY:P.E.S.T.L.E. Orientation - October 28
DESCRIPTION:Join P.E.S.T.L.E. for our Zoom Orientation session on Friday\, October 28 at 4:00 pm! Please email us at pestle@seas.upenn.edu if you have any questions.
URL:https://seasevents.nmsdev7.com/event/pestle-orientation-october-28/
LOCATION:https://upenn.zoom.us/j/96715197752
ORGANIZER;CN="PESTLE":MAILTO:pestle@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221101T100000
DTEND;TZID=America/New_York:20221101T113000
DTSTAMP:20260405T175947
CREATED:20221018T125330Z
LAST-MODIFIED:20221018T125330Z
UID:10007334-1667296800-1667302200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Mechanical Behavior of Self-healing Hydrogels with Chemical and Physical Cross-links: Theory and Experiments"
DESCRIPTION:In recent years polymer chemists have made tremendous strides in the synthesis of biocompatible\, tough\, self-healing hydrogels. However\, there are not many comprehensive mechanical models that capture the observed time dependent mechanical behavior of these gels (especially fracture) to the underlying\, rate dependent bond breaking and reformation processes. In this talk I will summarize some of the progress we have made on two systems; the first is a Poly(vinylalcohol) (PVA) hydrogel chemically crosslinked by glutaraldehyde and physically crosslinked by Borax ions. The second is a chemically crosslinked Polyampholyte gel (c-PA) synthesized by random copolymerization of cationic and anionic monomers at a high concentration around the charge balanced point. We formulated a 3D\, large deformation viscoelastic constitutive model based on breaking and healing kinetics of physical cross-links. We demonstrate this model accurately captures the rate dependent behavior of these gels under complex loading histories. We studied the asymptotic structure of the crack tip fields. We develop a finite element model to numerically study the stress and deformation fields near the tip of a stationary crack in single edge cracked specimens. The theoretical and finite element results (3D and 2D plane stress) agree remarkably well with experimentally observed crack opening profiles in the PVA gel system. The model parameters are extracted from experiments using a newly developed fitting method based on Meta-modeling and Neutral network. We carried out relaxation experiments on two different types of samples to study the nonlinear viscoelastic behavior of the c-PA system. A simple model is used to explain this behavior. Our modelling and experimental efforts can lead to better understanding of the complex load transfer process near the crack tip and time dependent delayed fracture of gels and elastomers.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-mechanical-behavior-of-self-healing-hydrogels-with-chemical-and-physical-cross-links-theory-and-experiments/
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:20221101T153000
DTEND;TZID=America/New_York:20221101T163000
DTSTAMP:20260405T175947
CREATED:20220928T124405Z
LAST-MODIFIED:20220928T124405Z
UID:10007310-1667316600-1667320200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: " Rich Babies\, Poor Robots: towards rich sensing\, continuous data and multiple environments"
DESCRIPTION:In recent years\, we have seen a shift in different fields of AI such as computer vision\, robotics. From task-driven supervised learning\, we are now starting to see shift towards more human like learning. Self-supervised learning\, embodied AI\, multimodal learning are few subfields which have emerged from this shift. Yet I will argue the shift is half-hearted in nature and there is a huge situational gap between babies (human learners) and current robots. Our babies learn continuously from multiple environment using five different senses using both active and passive data.  On the other hand\, our AI algorithms still primarily use vision (best case)\, learn from fixed datasets or pre-defined environments and use either passive or active data. In this talk\, I will argue how to bridge this gap. First\, I will talk about how to bring tactile sensing into mainstream. More specifically\, I will introduce our magnetic sensing skin called ReSkin. Next I will talk how our current setups lack the lifelong learning aspect. More specifically\, I will introduce our recent efforts in developing continuous versions of self-supervision and curiosity/exploration. Finally\, if time remains I will talk about how to use passive and active data together to learn actions.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-rich-babies-poor-robots-towards-rich-sensing-continuous-data-and-multiple-environments/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221102T120000
DTEND;TZID=America/New_York:20221102T133000
DTSTAMP:20260405T175947
CREATED:20220909T133247Z
LAST-MODIFIED:20220909T133247Z
UID:10007264-1667390400-1667395800@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: Building certifiably safe and correct large-scale autonomy\, Chuchu Fan (Massachusetts Institute of Technology)
DESCRIPTION:ABSTRACT: \nThe introduction of machine learning (ML) and artificial intelligence (AI) creates unprecedented opportunities for achieving full autonomy. However\, learning-based methods in building autonomous systems can be extremely brittle in practice and are not designed to be verifiable. In this talk\, I will present several of our recent efforts that combine ML with formal methods and control theory to enable the design of provably dependable and safe autonomous systems. I will introduce our techniques to generate safety certificates and certified control for complex autonomous systems\, even when the systems have a large number of agents and follow nonlinear and nonholonomic dynamics.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-chuchu-fan-massachusetts-institute-of-technology/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221102T153000
DTEND;TZID=America/New_York:20221102T163000
DTSTAMP:20260405T175947
CREATED:20220909T195757Z
LAST-MODIFIED:20220909T195757Z
UID:10007276-1667403000-1667406600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar Series: "It Takes Two: Conserved Bimodal Interactions between the Coronavirus Fusion Peptide and Calcium Ions Promote Host Membrane Insertion and Viral Entry" (Susan Daniel\, Cornell University)
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-it-takes-two-conserved-bimodal-interactions-between-the-coronavirus-fusion-peptide-and-calcium-ions-promote-host-membrane-insertion-and-viral-entry-susan-daniel-cornell-univ/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221103T103000
DTEND;TZID=America/New_York:20221103T113000
DTSTAMP:20260405T175947
CREATED:20221021T181508Z
LAST-MODIFIED:20221021T181508Z
UID:10007340-1667471400-1667475000@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: “Emerging Energy Materials: Joule Heating and Wood”
DESCRIPTION:I lead an Energy Materials and Devices research group at the University of Maryland\, College Park\, with a major mission to address the CO2 challenge. Our current research interests include (1) ultrahigh-temperature synthesis of new materials and their use in advanced energy devices\, (2) beyond Li-ion batteries for transportation and the grid\, and (3) wood nanoscience and nanotechnologies. \nIn this seminar I will share my group’s research and development of electrified ultrahigh-temperature synthesis as a novel platform for discovering and manufacturing new energy and environmental materials. I will start with the design and fabrication of ultrahigh temperature heaters\, followed by two specific research topics\, including high entropy nanoparticles (Science 2018\, 359\, 1489\, Cover) and a high-performance battery membrane (Science 2020\, 358\, 521\, Cover). Then I will give an overview of wood nanoscience and nanotechnologies and a few specific examples including solid state ion conductors (Nature 2021) and radiation cooling (Science 2019\, 364\, 760)
URL:https://seasevents.nmsdev7.com/event/mse-seminar-emerging-energy-materials-joule-heating-and-wood/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221103T153000
DTEND;TZID=America/New_York:20221103T163000
DTSTAMP:20260405T175947
CREATED:20220812T144510Z
LAST-MODIFIED:20220812T144510Z
UID:10007225-1667489400-1667493000@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Precision Engineering for Cancer Immunotherapy" (James Moon\, University of Michigan)
DESCRIPTION:This is a hybrid seminar which will be held in Glandt Forum (Singh Center) and via Zoom (link coming soon). \nPrecision Engineering for Cancer Immunotherapy \nCancer immunotherapy is now considered the fourth pillar of cancer therapy\, joining the ranks of surgery\, radiotherapy\, and chemotherapy. However\, only a small subset of cancer patients responds to cancer immunotherapy. Thus\, new approaches are needed to amplify anti-tumor immunity\, to convert cold tumor into hot tumor\, and to potentiate immunotherapies with minimal immune-related adverse events. The gut microbiome has recently emerged as the next frontier in drug development; however\, it remains unclear how to effectively alter gut microbiota for treating various diseases\, including cancer. Here\, we present new biomaterial-based strategies for altering the gut microbiome and improving the safety and efficacy of cancer immunotherapy. We are developing new dietary fiber-based biomaterials for in situ modulation of the gut microbiome for augmenting local and systemic immune responses. We will present the therapeutic potential of our gut modulation approach in the context of improving the efficacy of immune checkpoint blockers while mitigating immune-related adverse events. In our second research thrust\, we are developing a new nanoparticle platform for systemic delivery of STING (stimulator of IFN genes) agonists. While local STING activation can convert cold tumor into hot tumor\, it has been challenging to develop STING agonists that can treat disseminated cancer due to their toxicity. Here\, we will present our next-generation STING agonists that allow for systemic cancer therapy with potent efficacy\, favorable pharmaceutical properties\, and acceptable safety profiles in various murine and rabbit tumor models. Our biomaterial-based strategies may offer powerful and convenient approaches to regulate the immune system as potential therapies for cancer and other diseases.
URL:https://seasevents.nmsdev7.com/event/be-seminar-precision-engineering-for-cancer-immunotherapy-james-moon-university-of-michigan/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221103T170000
DTEND;TZID=America/New_York:20221103T190000
DTSTAMP:20260405T175947
CREATED:20221024T194217Z
LAST-MODIFIED:20221024T194217Z
UID:10007342-1667494800-1667502000@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP Industry Talk - Zoox Company Info Session: The Future of Transportation & Autonomous Vehicles
DESCRIPTION:Overview:  \nCome network with Zoox employees as we discuss Zoox’s mission\, the challenges we’re encountering in the industry\, and the internship opportunities available in 2023. \nAbout us:\nZoox is developing the first ground-up\, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics\, machine learning\, and design\, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. \nWhat you’ll get out of this event: \n– Learn more about Zoox and our unique approach to launching an autonomous vehicle robo-taxi service\n– Insight into the challenges and trends within the autonomous vehicle industry\n– Networking opportunity with Zoox employees
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-industry-talk-zoox-company-info-session-the-future-of-transportation-autonomous-vehicles/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221104T100000
DTEND;TZID=America/New_York:20221104T120000
DTSTAMP:20260405T175947
CREATED:20221027T152101Z
LAST-MODIFIED:20221027T152101Z
UID:10007345-1667556000-1667563200@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense: Keshav Patil
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-keshav-patil/
LOCATION:Room 534 A Wing\, 3401 Walnut\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
END:VEVENT
END:VCALENDAR