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DTSTART;TZID=America/New_York:20220920T100000
DTEND;TZID=America/New_York:20220920T113000
DTSTAMP:20260405T155655
CREATED:20220822T203637Z
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UID:10007233-1663668000-1663673400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Open Access Benchmark Datasets and Metamodels for Problems in Mechanics"
DESCRIPTION:Metamodels\, or models of models\, map defined model inputs to defined model outputs. When metamodels are constructed to be computationally cheap\, they are an invaluable tool for applications ranging from topology optimization\, to uncertainty quantification\, to real-time prediction\, to multi-scale simulation. In particular\, for heterogeneous materials\, metamodels are useful for exploring the influence of the (potentially massive) heterogeneous material property parameter space. By nature\, a given metamodel will be tailored to a specific dataset. However\, the most pragmatic metamodel type and structure will often be general to larger classes of problems. At present\, the most pragmatic metamodel selection for dealing with mechanical data — specifically simulations of heterogenous materials — has not been thoroughly explored. In this work\, we draw inspiration from the benchmark datasets available to the computer vision research community. These benchmark datasets have both made it feasible to compare different methods for solving the same problem\, and inspired new directions for method development. In response\, we introduce benchmark datasets for engineering mechanics problems (for example\, the Mechanical MNIST Collection https://open.bu.edu/handle/2144/39371 [1\,2\,3]). Then\, we show some example problems that we are exploring with these datasets such as our methodology for constructing metamodels for predicting full field quantities of interest (e.g.\, full field displacements\, stress\, strain\, or damage variable)\, and for leveraging information from multiple simulation fidelities\, and for predicting out of distribution behavior. Looking forward\, we anticipate that disseminating both these benchmark datasets and our computational methods will enable the broader community of researchers to develop improved techniques for understanding the behavior of spatially heterogeneous materials. We also hope to inspire others to use our datasets for educational and research purposes\, and to disseminate datasets and metamodels specific to their own areas of interest (https://elejeune11.github.io/). \n[1] Lejeune\, E. (2020). Mechanical MNIST: A benchmark dataset for mechanical metamodels. Extreme Mechanics Letters\, 36\, 100659.\n[2] Lejeune\, E.\, & Zhao\, B. (2020). Exploring the potential of transfer learning for metamodels of heterogeneous material deformation. Journal of the Mechanical Behavior of Biomedical Materials\, 104276.\n[3] Mohammadzadeh\, S.\, & Lejeune\, E. (2022). Predicting mechanically driven full-field quantities of interest with deep learning-based metamodels. Extreme Mechanics Letters\, 50\, 101566.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-open-access-benchmark-datasets-and-metamodels-for-problems-in-mechanics/
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:20220920T153000
DTEND;TZID=America/New_York:20220920T163000
DTSTAMP:20260405T155655
CREATED:20220915T134909Z
LAST-MODIFIED:20220915T134909Z
UID:10007289-1663687800-1663691400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Live Programming and Programming by Example: Better Together"
DESCRIPTION:Live programming is a paradigm in which values from program execution are shown to the programmer through continual feedback. Programming by example is a paradigm in which code is synthesized from example values showing a desired behavior. This talk presents some of our recent research that combines these two paradigms in beneficial ways. I will walk through our ideas\, explain our contributions\, discuss what we learned and finally provide thoughts for the future.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-live-programming-and-programming-by-example-better-together/
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:20220921T120000
DTEND;TZID=America/New_York:20220921T133000
DTSTAMP:20260405T155655
CREATED:20220907T163646Z
LAST-MODIFIED:20220907T163646Z
UID:10007254-1663761600-1663767000@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: Explainable AI via Semantic Information Pursuit (René Vidal\, Johns Hopkins University)
DESCRIPTION:Presentation Abstract:  \nThere is a significant interest in developing ML algorithms whose final predictions can be explained in domain-specific terms that are understandable to a human. Providing such an “explanation” can be crucial for the adoption of ML algorithms in risk-sensitive domains such as healthcare. This has motivated a number of approaches that seek to provide explanations for existing ML algorithms in a post-hoc manner. However\, many of these approaches have been widely criticized for a variety of reasons and no clear methodology exists for developing ML algorithms whose predictions are readily understandable by humans. To address this challenge\, we develop a method for constructing high performance ML algorithms that are “explainable by design”. Namely\, our method makes its prediction by asking a sequence of domain- and task-specific yes/no queries about the data (akin to the game “20 questions”)\, each having a clear interpretation to the end-user. We then minimize the expected number of queries needed for accurate prediction on any given input. This allows for human interpretable understanding of the prediction process by construction\, as the questions which form the basis for the prediction are specified by the user as interpretable concepts about the data. Experiments on vision and NLP tasks demonstrate the efficacy of our approach and its superiority over post-hoc explanations. Joint work with Aditya Chattopadhyay\, Stewart Slocum\, Benjamin Haeffele and Donald Geman. \nSpeaker Bio: \nDr. René Vidal is the Herschel Seder Professor of Biomedical Engineering\, and the Director of the Mathematical Institute for Data Science (MINDS)\, the NSF-Simons Collaboration on the Mathematical Foundations of Deep Learning and the NSF TRIPODS Institute on the Foundations of Graph and Deep Learning at Johns Hopkins University. He is also an Amazon Scholar\, Chief Scientist at NORCE\, and Associate Editor in Chief of TPAMI. His current research focuses on the foundations of deep learning and its applications in computer vision and biomedical data science. He is an AIMBE Fellow\, IEEE Fellow\, IAPR Fellow and Sloan Fellow\, and has received numerous awards for his work\, including the IEEE Edward J. McCluskey Technical Achievement Award\, D’Alembert Faculty Award\, J.K. Aggarwal Prize\, ONR Young Investigator Award\, NSF CAREER Award as well as best paper awards in machine learning\, computer vision\, controls\, and medical robotics.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-explainable-ai-via-semantic-information-pursuit-rene-vidal-johns-hopkins-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:20220921T150000
DTEND;TZID=America/New_York:20220921T160000
DTSTAMP:20260405T155655
CREATED:20220916T185218Z
LAST-MODIFIED:20220916T185218Z
UID:10007294-1663772400-1663776000@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP SFI: Zhongyu Li\, University of California Berkeley\, “Can We Bridge Model-based Control and Model-free RL on Legged Robots?”
DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom. \nIn this talk\, I will provide a brief introduction about our recent progress in applying optimal control and deep reinforcement learning (RL) on legged robots in the real world. I will then dive into our recent work to bridge model-based safety-critical control and model-free RL on a highly nonlinear and complex system\, such as a bipedal robot Cassie. Bridging model-based safety and model-free RL for dynamic robots is appealing since model-based methods are able to provide formal safety guarantees\, while RL-based methods are able to exploit the robot agility by learning from the full-order system dynamics. I will discuss a new method to combine them by explicitly finding a low-dimensional model of the system controlled by a RL policy and applying stability and safety guarantees on that simple model. \n 
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-zhongyu-li-university-of-california-berkeley-can-we-bridge-model-based-control-and-model-free-rl-on-legged-robots/
LOCATION:Room 307\, 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:20220921T153000
DTEND;TZID=America/New_York:20220921T163000
DTSTAMP:20260405T155655
CREATED:20220909T195257Z
LAST-MODIFIED:20220909T195257Z
UID:10007272-1663774200-1663777800@seasevents.nmsdev7.com
SUMMARY:CBE Seminar Series: "Quantitative Insights for Rapid Improvement of Sustainable Energy and Chemical Technologies" (Micah Ziegler\, Massachusetts Institute of Technology)
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-quantitative-insights-for-rapid-improvement-of-sustainable-energy-and-chemical-technologies-micah-ziegler-massachusetts-institute-of-technology/
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:20220922T103000
DTEND;TZID=America/New_York:20220922T113000
DTSTAMP:20260405T155655
CREATED:20220914T165103Z
LAST-MODIFIED:20220914T165103Z
UID:10007286-1663842600-1663846200@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Materials Growth and Discovery for Magnetic and Quantum Applications"
DESCRIPTION:For functional materials that are in a nascent stage\, such as the antiferromagnetic spintronics\, quantum information storage\, and new semiconducting compounds\, it is not clear what will be the high-performance materials of tomorrow. There is a pressing need to examine the complex properties of these emerging materials\, and growing single crystals is a crucial step toward investigating their properties in detail. I will explain why measuring transport\, optical\, and magnetic properties are important in these systems\, and how to determine their anisotropy. Due to the required millimeter dimensions\, they must be grown from solutions\, fluxes\, or vapors. This process is often hard to observe\, and highly kinetically dependent\, so in situ techniques can be especially valuable to understand how to grow larger or better crystals\, how to choose phases more precisely\, and how to discover entirely new materials. With a clearer view of how materials form\, we can critically evaluate computational predictions (ab initio or machine-learned methods) and explore novel reactions to target new phases.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-materials-growth-and-discovery-for-magnetic-and-quantum-applications/
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:20220923T103000
DTEND;TZID=America/New_York:20220923T114500
DTSTAMP:20260405T155655
CREATED:20220919T135946Z
LAST-MODIFIED:20220919T135946Z
UID:10007295-1663929000-1663933500@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP Seminar: GRASP Affiliated Faculty Research Overview
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \n\n\nDr. James Pikul\nSimon Kim\, AIA (via Zoom)\nDr. Rahul Mangharam\nDr. Robert Stuart Smith (via Zoom)\n\n\n\nFor more details\, please check out the full speaker line-up here.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-seminar-grasp-affiliated-faculty-research-overview/
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:20220923T120000
DTEND;TZID=America/New_York:20220923T130000
DTSTAMP:20260405T155655
CREATED:20220920T142725Z
LAST-MODIFIED:20220920T142725Z
UID:10007292-1663934400-1663938000@seasevents.nmsdev7.com
SUMMARY:Theory Seminar- Recent Developments in Combinatorial Auctions\, Matt Weinberg (Princeton University)
DESCRIPTION:Abstract: In a combinatorial auction there are m items\, and each of n players has a valuation function v_i which maps sets of items to non-negative reals. A designer wishes to partition the items into S_1\,…\,S_n to maximize the welfare (\sum_i v_i(S_i) )\, perhaps assuming that all v_i lie in some class V (such as submodular\, subadditive\, etc.). \nWithin Algorithmic Game Theory\, this problem serves as a lens through which to examine the interplay between computation and incentives. For example: is it the case that whenever a poly-time/poly-communication algorithm for honest players can achieve an approximation guarantee of c when all valuations lie in V\, a poly-time/poly-communication truthful mechanism for strategic players can achieve an approximation guarantee of c when all valuations lie in V as well? \nIn this talk\, I’ll give a brief history\, then survey three recent results on this topic which: \n– provide the first separation between achievable guarantees of poly-communication algorithms and poly-communication truthful mechanisms for any V (joint works with Mark Braverman and Jieming Mao\, and with Sepehr Assadi\, Hrishikesh Khandeparkar\, and Raghuvansh Saxena). \n– revisit existing separations between poly-time algorithms and poly-time truthful mechanisms via a new solution concept “Implementation in Advised Strategies” (joint work with Linda Cai and Clayton Thomas). \n– resolve the communication complexity of combinatorial auctions for two subadditive players (joint work with Tomer Ezra\, Michal Feldman\, Eric Neyman\, and Inbal Talgam-Cohen\, time-permitting).
URL:https://seasevents.nmsdev7.com/event/theory-seminar-recent-developments-in-combinatorial-auctions-matt-weinberg-princeton-university/
LOCATION:Room 401B\, 3401 Walnut\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="The Warren Center":MAILTO:Lhoot@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220923T133000
DTEND;TZID=America/New_York:20220923T143000
DTSTAMP:20260405T155655
CREATED:20220913T172841Z
LAST-MODIFIED:20220913T172841Z
UID:10007283-1663939800-1663943400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Manually-Operated\, Slider Cassette for Multiplexed Molecular Detection at the Point of Care"
DESCRIPTION:Effective control of epidemics\, individualized medicine\, and new drugs with virologic response-dependent dose and timing require\, among other things\, simple\, inexpensive\, multiplexed molecular detection platforms suitable for point of care and for home use. Conventional molecular detection methods such as PCR tests\, require bulky and expensive equipment\, trained personnel\, and specialized laboratories\, limiting their use to centralized facilities. \nIn this talk\, I will describe our 3D-printed slider cassette for the co-detection of the human immunodeficiency virus (HIV)\, hepatitis B virus (HBV)\, and hepatitis C virus (HCV) – three blood-borne pathogens that co-infect numerous people worldwide with severe personal and public health consequences. Novel features of our cassette include the integration of sample processing; nucleic acid isolation and concentration\, isothermal amplification\, minimally instrumented and instrument free detection; refrigeration-free storage of reagents; the ability to co-detect multiple pathogens\, and minimal requirements from the user. Furthermore\, the various processes in our devices can be incubated electricity-free with heat provided by an exothermic reaction and temperature control with phase change materials.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-manually-operated-slider-cassette-for-multiplexed-molecular-detection-at-the-point-of-care/
LOCATION:Room 2C8\, David Rittenhouse Laboratory Building\, 209 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
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