BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://seasevents.nmsdev7.com X-WR-CALDESC:Events for Penn Engineering Events REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20220920T100000 DTEND;TZID=America/New_York:20220920T113000 DTSTAMP:20260405T180710 CREATED:20220822T203637Z LAST-MODIFIED:20220822T203637Z 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:20260405T180710 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:20260405T180710 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:20260405T180710 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:20260405T180710 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:20260405T180710 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:20260405T180710 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:20260405T180710 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:20260405T180710 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 END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220926T130000 DTEND;TZID=America/New_York:20220926T140000 DTSTAMP:20260405T180710 CREATED:20220901T140045Z LAST-MODIFIED:20220901T140045Z UID:10007240-1664197200-1664200800@seasevents.nmsdev7.com SUMMARY:PSOC Seminar: "Compromised nuclear envelope integrity leads to tumor cell invasion" (Guilherme Nader\, CHOP) DESCRIPTION:Fall 2022 Hybrid-Seminar Series \nMondays 1.00-2.00 pm (EST) \nTowne 225 / Raisler Lounge   \nFor Zoom link\, please contact 109 nanoscale magnetophoretic sorting devices in a postage-stamp-sized lattice with >70x magnetic traps and >20x improved enrichment for magnetic nanoparticles versus previous studies. \nThe understanding of cracking in particle templates\, the developed self-assembly methods\, and the application demonstrations reported in this work may advance the fabrication and applications of high-strength multifunctional porous materials\, providing fundamental insights into the design\, synthesis\, and control of complex hierarchical materials that employ colloid self-assembly. URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-surface-and-interface-engineering-in-manipulation-and-fabrication-of-colloid-based-sub-microporous-hierarchical-materials-and-their-applications/ LOCATION:Moore 212 CATEGORIES:Seminar ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220928T120000 DTEND;TZID=America/New_York:20220928T133000 DTSTAMP:20260405T180710 CREATED:20220907T163817Z LAST-MODIFIED:20220907T163817Z UID:10007255-1664366400-1664371800@seasevents.nmsdev7.com SUMMARY:ASSET Seminar: Equivariance in Deep Learning\, Kostas Daniilidis (University of Pennsylvania) DESCRIPTION:ABSTRACT\nTraditional convolutional networks exhibit unprecedented robustness to intraclass nuisances when trained on big data. Generalization with respect to geometric transformations has been achieved via expensive data augmentation. It has been shown recently that data augmentation can be avoided if networks are structured such that feature representations are transformed the same way as the input\, a desirable property called equivariance. In this talk\, we show how equivariance can be realized via group convolutions\, how to deal with vector and tensor fields\, and how we achieve equivariance in transformers. We present results on 3D shape classification and scene reconstruction based on learning only objects but not scenes. \nBIO \nKostas Daniilidis has been faculty at the University of Pennsylvania since 1998.  He is an IEEE Fellow. He was the director of the GRASP laboratory from 2008 to 2013. He obtained his Ph.D. in Computer Science from the University of Karlsruhe (now KIT) in 1992. He is a co-recipient of the Best Conference Paper Award at ICRA 2017. Kostas’ main interest today is in geometric deep learning\, event-based neuromorphic vision\, and their applications in vision-based manipulation and navigation. URL:https://seasevents.nmsdev7.com/event/asset-seminar-kostas-daniilidis-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:20220928T153000 DTEND;TZID=America/New_York:20220928T163000 DTSTAMP:20260405T180710 CREATED:20220923T183934Z LAST-MODIFIED:20220923T183934Z UID:10007302-1664379000-1664382600@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP SFI: Millind Tambe\, Harvard University\, "Results from deployments for public health and conservation" DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom here… \n  \nABSTRACT\nWith the maturing of AI and multiagent systems research\, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. I  will focus on  domains of public health and conservation\,  and address one key cross-cutting challenge: how to effectively deploy our limited intervention resources in these problem domains. I will present results from work around the globe in using AI for challenges in public health such as Maternal and Child care interventions\, HIV prevention\, and in conservation such as  endangered wildlife protection. Achieving social impact in these domains often requires methodological advances. To that end\, I will highlight key research advances in multiagent reasoning and learning\, in particular in\, restless multiarmed bandits\, influence maximization in social networks\, computational game theory and decision-focused learning. In pushing this research agenda\, our ultimate goal is to facilitate local communities and non-profits to directly benefit from advances in AI tools and techniques. URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-millind-tambe-harvard-university-tba/ 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:20220929T100000 DTEND;TZID=America/New_York:20220929T110000 DTSTAMP:20260405T180710 CREATED:20220912T172957Z LAST-MODIFIED:20220912T172957Z UID:10007280-1664445600-1664449200@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP Seminar: Guillermo Gallego\, Technical University Berlin\, "Stereo depth and optical flow estimation via contrast maximization of event camera data” DESCRIPTION:*This is a HYBRID Event with in-person attendance in Levine 307 and virtual attendance via Zoom. \nABSTRACT\nEvent cameras are novel vision sensors that mimic functions from the human retina and offer potential advantages over traditional cameras (low latency\, high speed\, high dynamic range\, etc.). They acquire visual information in the form of pixel-wise brightness changes\, called events. This talk presents event processing approaches for motion estimation in computer vision and robotics applications. In particular\, we will discuss recent advances by the Robotic Interactive Perception Lab at TU Berlin in extending the contrast maximization framework to stereo depth and optical flow estimation while avoiding its Achilles’ heel: event collapse. URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-seminar-guillermo-gallego-technical-university-berlin-stereo-depth-and-optical-flow-estimation-via-contrast-maximization-of-event-camera-data/ 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:20220929T100000 DTEND;TZID=America/New_York:20220929T110000 DTSTAMP:20260405T180710 CREATED:20220915T203135Z LAST-MODIFIED:20220915T203135Z UID:10007290-1664445600-1664449200@seasevents.nmsdev7.com SUMMARY:MEAM Ph.D. Thesis Defense: "Room-temperature Electrochemical Healing of Structural Metals" DESCRIPTION:For over 6\,000 years\, repairing high-strength metallic materials has required high temperatures and large energy inputs. Likewise\, recent innovations in self-healing and repairable metals have remained limited by the need for heating\, the small size of repairable cracks\, and the low strength and constrained chemical composition of healed metals. While welding remains the most widely used approach to repair metals\, the increasing ubiquity of digital manufacturing and “unweldable” alloys call for radically different approaches. This thesis pioneers a new approach for repairing structural metals at room-temperature\, termed “electrochemical healing”. First\, by mimicking the transport-mediated healing of bone\, selective nickel electrodeposition enables rapid\, effective\, low-energy\, and room-temperature healing of a cellular metal. A polymer coating restricts electrodeposition only at fracture or high stress sites\, and a statistical method quantifies and predicts the probability of a target recovery of tensile strength based on energy input. This thesis extends room-temperature healing to low-carbon steel\, a widely used structural metal\, by elucidating how ion transport and electrolyte chemistry influence growth morphology and strength in fractured steel wires repaired with nickel electrodeposition. Pulsed electroplating and electrolyte chemistry selection improve nickel adhesion and enable fully fractured steel wires to recover up to 69% of their pristine strength. Finally\, this thesis presents a framework for effective room temperature electrochemical healing based on a quantitative model that links geometric\, mechanical\, and electrochemical parameters to the recovery of tensile strength in repaired metals. This framework enables full recovery of tensile strength in a variety of structural metals\, including “unweldable” alloys and a 3D-printed difficult-to-weld funicular shellular structure\, as well as over 100% recovery of toughness in an aluminum alloy. The model reveals scaling relationships for the energetic\, financial\, and time costs of repairing metals that facilitate the practical adoption of electrochemical healing. Room-temperature electrochemical healing could open exciting possibilities for the scalable\, autonomous\, repeatable\, and prophylactic repair of metals in structures and robots\, enable cellular materials that respond to environmental stimulus with growth and morphogenesis\, and advance the life cycle sustainability of structural metals. URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-room-temperature-electrochemical-healing-of-structural-metals/ LOCATION:Greenberg Lounge (Room 114)\, Skirkanich Hall\, 210 South 33rd Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Doctoral,Dissertation or Thesis Defense ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220929T103000 DTEND;TZID=America/New_York:20220929T113000 DTSTAMP:20260405T180710 CREATED:20220921T155837Z LAST-MODIFIED:20220921T155837Z UID:10007301-1664447400-1664451000@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Harnessing Physical Intelligence for High-Performance Soft Robots" DESCRIPTION:Different from neuron-based computational intelligence through the brain\, physical intelligence leverages structural designs and smart materials to physically encode sensing\, actuation\, control\, adaption\, and decision-making into the body of an agent. The stimuli-responsive body materials can enable autonomous sensory\, actuation\, powering\, and other physical intelligence functions. The structural designs of soft body can simplify the required actuation for deformation and motion\, as well as enable real-time feedback control-free locomotion and self-adaption. \nIn this talk\, I will discuss our recent work in embodying mechanical intelligence of structural designs and/or materials intelligence of soft active materials in soft robotics\, for achieving delicacy in manipulation\, high speed and high efficiency in locomotion\, and autonomy and intelligence. First\, I will talk about utilizing the ancient paper cutting art of kirigami for programming 3D curved shape shifting via geometric mechanics guided design\, as well as its application in nondestructive and delicate grasping. Then\, I will discuss how to leverage bistability and multistability for achieving high-speed and high-efficient terrestrial and aqueous soft robots. Finally\, I will discuss examples of integrating structural designs with soft active materials for achieving autonomy and intelligence in soft robots. URL:https://seasevents.nmsdev7.com/event/meam-seminar-harnessing-physical-intelligence-for-high-performance-soft-robots/ LOCATION:Towne 227 (MEAM Conference Room)\, 220 S. 33rd 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:20220929T103000 DTEND;TZID=America/New_York:20220929T113000 DTSTAMP:20260405T180710 CREATED:20220925T150640Z LAST-MODIFIED:20220925T150640Z UID:10007304-1664447400-1664451000@seasevents.nmsdev7.com SUMMARY:POSTPONED // MSE Seminar & Grace Hopper Lecture: “Materials for Quantum Technologies Through a Computational Lens" DESCRIPTION:Refreshments served at 10:15 AM \nIn this talk\, I will describe theoretical and computational strategies based on quantum mechanical calculations\, aimed at predicting material properties suitable for the development of quantum technologies. Specifically\, I will discuss the electronic structure and coherent states of spin defects in two- and three-dimensional semiconductors and insulators\, obtained using both classical and near-term quantum computers. URL:https://seasevents.nmsdev7.com/event/postponed-mse-seminar-grace-hopper-lecture-2022/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Distinguished Lecture END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220930T103000 DTEND;TZID=America/New_York:20220930T114500 DTSTAMP:20260405T180710 CREATED:20220923T184357Z LAST-MODIFIED:20220923T184357Z UID:10007303-1664533800-1664538300@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP Seminar: Joshua Jeanson\, University of Pennsylvania\, "IP in Academic and Corporate Research Settings" DESCRIPTION:This seminar is for internal Penn students and faculty only. \n  \nABSTRACT\nAn overview of Intellectual Property and a discussion on best practices for protecting your creations and ideas in light of employment obligations. URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-seminar-joshua-jeanson/ 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:20220930T110000 DTEND;TZID=America/New_York:20220930T120000 DTSTAMP:20260405T180710 CREATED:20220928T130231Z LAST-MODIFIED:20220928T130231Z UID:10007311-1664535600-1664539200@seasevents.nmsdev7.com SUMMARY:ESE/CIS Joint Seminar: "Future Heterogeneous Systems Need More First-Class Citizens" DESCRIPTION:In recent years\, system designers have increasingly been turning to heterogeneous systems to improve performance and energy efficiency.  Specialized accelerators are frequently used to improve the efficiency of computations that run inefficiently on conventional\, general-purpose processors. As a result\, systems ranging from smartphones to datacenters\, hyperscalers\, and supercomputers are increasingly using large numbers of accelerators (including GPUs) while providing better efficiency than CPU-based solutions.  In particular\, GPUs are widely used in these systems due to their combination of programmability and efficiency.  Traditionally\, GPUs are throughput-oriented\, focused on data parallelism\, and assume synchronization happens at a coarse granularity.  However\, programmers have begun using these systems for a wider variety of applications which exhibit different characteristics\, including latency-sensitivity\, mixes of both task and data parallelism\, and fine-grained synchronization.  Thus\, future heterogeneous systems must evolve and make deadline-aware scheduling\, more intelligent data movement\, efficient fine-grained synchronization\, and effective power management first-order design constraints.  In the first part of this talk\, I will discuss our efforts to apply hardware-software co-design to help future heterogeneous systems overcome these challenges and improve performance\, energy efficiency\, and scalability.  Then\, in the second part I will discuss how the on-going transition to chiplet-based heterogeneous systems exacerbates these challenges and my vision for extending our work to address these challenges in chiplet-based heterogeneous systems by rethinking the control plane. URL:https://seasevents.nmsdev7.com/event/ese-cis-joint-seminar/ LOCATION:Heilmeier Hall (Room 100)\, Towne Building\, 220 South 33rd 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:20220930T120000 DTEND;TZID=America/New_York:20220930T130000 DTSTAMP:20260405T180710 CREATED:20220920T142803Z LAST-MODIFIED:20220920T142803Z UID:10007293-1664539200-1664542800@seasevents.nmsdev7.com SUMMARY:Theory Seminar- Rachel Cummings (Columbia University) DESCRIPTION: URL:https://seasevents.nmsdev7.com/event/theory-seminar-rachel-cummings-columbia-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:20220930T120000 DTEND;TZID=America/New_York:20220930T140000 DTSTAMP:20260405T180710 CREATED:20220907T162554Z LAST-MODIFIED:20220907T162554Z UID:10007252-1664539200-1664546400@seasevents.nmsdev7.com SUMMARY:PRECISE Seminar: Investigate and Mitigate the Attacks Caused by Out-of-Band Signals DESCRIPTION:Abstract\n\n\nSensing and actuation systems are entrusted with increasing intelligence to perceive the environment and react to it. Their reliability often relies on the trustworthiness of sensors. As process automation and robotics keep evolving\, sensing methods such as pressure/temperature/motion sensing are extensively used in conventional systems and rapidly emerging applications. This talk aims to investigate the threats incurred by the out-of-band signals and discuss the low-cost defense methods against physical injection attacks on sensors. Dr. Hei will present the results from her USENIX Security\, ACM CCS\, and ASIACCS papers. [Zoom] \n  \n\n\n\nSpeaker Bio\n\n\nXiali (Sharon) Hei is an Alfred and Helen M. Lamson Endowed assistant professor at the University of Louisiana at Lafayette. Prior to joining the University of Louisiana at Lafayette\, she was an assistant professor at Delaware State University from 2015-2017 and an assistant professor at Frostburg State University from 2014-2015. Dr. Hei received her Ph.D. in computer science from Temple University in 2014. \nShe was awarded an NSF MRI Track 2 award\, a Facebook award\, an LA BoRSF CEMC Talent Initiative Fund\,  an LA BoRSF Seed fund\, a 20-million NSF ERSCoR RII Track 1 award\, an NSF CRII award\, and a Delaware DEDO grant\, etc. Also\, she earned an M.S. in Software Engineering from Tsinghua University and a B.S. in Electrical Engineering from Xi’an Jiaotong University. She got several awards such as ACM 2014 MobiHoc Best Poster Runner-up Award\, Dissertation Completion Fellowship\, The Bronze Award Best Graduate Project in Future of Computing Competition\, etc. Her papers were published at USENIX Security Symp.\, ACM CCS\, IEEE European Symp. on Security and Privacy\, IEEE INFOCOM\, RAID\, ASIACCS\, etc. She is a TPC member of the USENIX Security Symp. \, IEEE Euro S&P\, Annual International Conference on Privacy\, Security & Trust (PST)\, IEEE GLOBECOM\, SafeThings\, AutoSec\, IEEE ICC\, WASA\, etc. She is an IEEE senior member since 2019. URL:https://seasevents.nmsdev7.com/event/precise-seminar-investigate-and-mitigate-the-attacks-caused-by-out-of-band-signals/ LOCATION:https://upenn.zoom.us/j/96715197752 CATEGORIES:Seminar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221004T100000 DTEND;TZID=America/New_York:20221004T113000 DTSTAMP:20260405T180710 CREATED:20220822T201303Z LAST-MODIFIED:20220822T201303Z UID:10007232-1664877600-1664883000@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Manipulation of Micro/Nano Particles Using Acoustic Waves" DESCRIPTION:Manipulation of particles in micro and nano scale has been invaluable in a variety of scenarios in applied physics\, chemistry and biomedicine. Acoustic microfluidics has emerged as a powerful and novel platform for micro/nano manipulation in many applications recently due to its advantages in versatility\, low cost\, easy to integrate and manufacture\, miniaturization\, energy efficiency\, etc.. Here\, I will first introduce the development of acoustic tweezer which can manipulation objects from nano to mm scale on a chip. I will then report our most recent breakthroughs on acoustic manipulation\, including (1) acoustic thermal shift assay for protein manipulation and characterization\, (2) internal structure manipulation of a novel endoskeletal droplet using acoustic waves\, and (3) staged assembly of colloids. URL:https://seasevents.nmsdev7.com/event/meam-seminar-manipulation-of-micro-nano-particles-using-acoustic-waves/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221004T153000 DTEND;TZID=America/New_York:20221004T163000 DTSTAMP:20260405T180710 CREATED:20220809T153150Z LAST-MODIFIED:20220809T153150Z UID:10007221-1664897400-1664901000@seasevents.nmsdev7.com SUMMARY:Penn Engineering 2021-22 Heilmeier Award Lecture: Ritesh Agarwal DESCRIPTION:“Utilizing Quantum Geometry and Topology for Enabling Integrated Chiral Photonics”\nClassical and quantum computing devices need to ferry vast amounts of data\, and optical interconnects provide a promising approach allowing faster speeds and larger bandwidths. Critical interconnect components are light sources\, waveguides and detectors. Currently\, the information is encoded in intensity and frequency but other degrees of freedom (DOFs) such as photon spin and spatial orbital angular momentum modes (OAM) should be utilized to enhance the capacity of optical links. Therefore\, new photonic materials and devices that can produce\, transmit and detect light with complex polarization and spatial modes are needed. This is non-trivial as most materials are insensitive to chiral light. In this talk\, Dr. Agarwal will discuss recent developments towards the development of on-chip lasers\, waveguides and photodetectors that are sensitive to photon spin and OAM modes. By protecting or breaking certain symmetries and utilizing the quantum geometry of the engineered system\, new devices will be discussed that can enable the development of integrated chiral photonic systems. \nRead the full award announcement here. More information about the Heilmeier Award can be found here. URL:https://seasevents.nmsdev7.com/event/heilmeier-lecture-ritesh-agarwal/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar,Distinguished Lecture,Faculty END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221005T120000 DTEND;TZID=America/New_York:20221005T133000 DTSTAMP:20260405T180710 CREATED:20220909T132756Z LAST-MODIFIED:20220909T132756Z UID:10007260-1664971200-1664976600@seasevents.nmsdev7.com SUMMARY:ASSET Seminar: Learning with Small Data\, Pratik Chaudhari (University of Pennsylvania) DESCRIPTION:Abstract:\nThe relevant limit for machine learning is not N → infinity but instead N → 0. The human visual system is proof that it is possible to learn categories with extremely few samples. This talk will discuss steps towards building such systems and it is structured in three parts. The first part will discuss algorithms to adapt representations of deep networks to new categories with few labeled data. The second part will discuss when such adaptation works well and when it does not. It will develop a method to compute the optimal distance between two learning tasks and algorithmic tools to learn tasks that are far away from each other. The third part will discuss how make the optimal use of unlabeled data to learn a task. \nThis talk will discuss results from the following papers.\n1. An Information-Geometric Distance on the Space of Tasks. Yansong\nGao\, Pratik Chaudhari. ICML 2021.\nPaper: https://arxiv.org/abs/2011.00613\, Code: https://github.com/Yansongga/An-Information-Geometric-Distance-on-the-Space-of-Tasks\n2. Model Zoo: A Growing “Brain” That Learns Continually. Rahul\nRamesh\, Pratik Chaudhari. ICLR 22.\nPaper: https://arxiv.org/abs/2106.03027. Code:\nhttps://github.com/rahul13ramesh/MultitTask_ModelZoo\n3. Deep Reference Priors: What is the best way to pretrain a model?. Yansong Gao\, Rahul Ramesh\, and Pratik Chaudhari. ICML 22.\nPaper: https://arxiv.org/abs/2202.00187\, Code: https://github.com/grasp-lyrl/deep_reference_priors URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-pratik-chaudhari-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:20221005T150000 DTEND;TZID=America/New_York:20221005T160000 DTSTAMP:20260405T180710 CREATED:20220929T145425Z LAST-MODIFIED:20220929T145425Z UID:10007312-1664982000-1664985600@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP SFI: Ross Hatton\, Oregon State University\, "Snakes & Spiders\, Robots & Geometry" DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom here… \nABSTRACT\nLocomotion and perception are a common thread between robotics and biology. Understanding these phenomena at a mechanical level involves nonlinear dynamics and the coordination of many degrees of freedom. In this talk\, I will discuss geometric approaches to organizing this information in two problem domains: Undulatory locomotion of snakes and swimmers\, and vibration propagation in spider webs. \nIn the first section\, I will discuss how differential geometry and Lie group theory provide insight into the locomotion of undulating systems through a vocabulary of lengths\, areas\, and curvatures. In particular\, a tool called the *Lie bracket* combines these geometric concepts to describe the effects of cyclic changes in the locomotor’s shape\, such as the gaits used by swimming or crawling systems. Building on these results\, I will demonstrate that the geometric techniques are useful beyond the “clean” ideal systems on which they have traditionally been developed\, and can provide insight into the motion of systems with considerably more complex dynamics\, such as locomotors in granular media. \nIn the second section\, I will turn my attention to vibration propagation through spiders’ webs. Due to poor eyesight\, many spiders rely on web vibrations for situational awareness. Web-borne vibrations are used to determine the location of prey\, predators\, and potential mates. The influence of web geometry and composition on web vibrations is important for understanding spider’s behavior and ecology. Past studies on web vibrations have experimentally measured the frequency response of web geometries by removing threads from existing webs. We have constructed physical artificial webs and computer models to better understand the effect of web structure on vibration transmission. These models provide insight into the propagation of vibrations through the webs\, the frequency response of the bare web\, and the influence of the spider’s mass and stiffness on the vibration transmission patterns. URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-ross-hatton-oregon-state-university-snakes-spiders-robots-geometry/ 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:20221005T153000 DTEND;TZID=America/New_York:20221005T163000 DTSTAMP:20260405T180710 CREATED:20220909T195416Z LAST-MODIFIED:20220909T195416Z UID:10007273-1664983800-1664987400@seasevents.nmsdev7.com SUMMARY:CBE Seminar Series: "Genome and Epigenome Editing for Gene Therapy and Cell Programming" (Charles A. Gersbach\, Duke University) DESCRIPTION: URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-genome-and-epigenome-editing-for-gene-therapy-and-cell-programming-charles-a-gersbach-duke-university/ 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:20221006T140000 DTEND;TZID=America/New_York:20221006T160000 DTSTAMP:20260405T180710 CREATED:20220914T230245Z LAST-MODIFIED:20220914T230245Z UID:10007287-1665064800-1665072000@seasevents.nmsdev7.com SUMMARY:Fall 2022 Safe Space Training for Penn Engineering Faculty & Staff - Day 1 DESCRIPTION:The School of Engineering and Applied Science has partnered with the university’s Lesbian Gay Bisexual Transgender Center to offer Safe Space Training for interested faculty and staff on Thursday\, October 6th from 2pm-4pm and Friday\, October 7th  from 10am-12pm in the Forman Active Learning Classroom (217 Towne). \n Attendance at both sessions is required to complete the training in full. \nThis four-hour training program is designed to educate faculty and staff on how to better support LGBTQ+ individuals on our campus and in our classrooms. Those who participate will then be eligible to display a Safe Space sticker in their office\, indicating their active roles in promoting an accepting environment for all\, regardless of sexual orientation and gender identity/expression. The Safe Space Program has been shown to be an effective tool in helping LGBTQ+ students feel safe and included in the campus community. \nTo attend the workshops\, please register by September 29th using the website link below.     \nBrunch will be provided during the training session on Friday morning\, and there is space for up to 40 individuals.  If there is sufficient interest\, additional training sessions will be scheduled for later in the year. Please contact Emily Delany at eedelany@seas.upenn.edu with any additional questions. URL:https://seasevents.nmsdev7.com/event/fall-2022-safe-space-training-for-penn-engineering-faculty-staff/ LOCATION:217 Towne – Forman Active Learning Classroom\, 220 South 33rd Street\, Towne 217\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Diversity, Equity and Inclusion ORGANIZER;CN="Office of Diversity%2C Equity and Inclusion":MAILTO:odei@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221007T100000 DTEND;TZID=America/New_York:20221007T120000 DTSTAMP:20260405T180710 CREATED:20220914T230620Z LAST-MODIFIED:20220914T230620Z UID:10007288-1665136800-1665144000@seasevents.nmsdev7.com SUMMARY:Fall 2022 Safe Space Training for Penn Engineering Faculty & Staff - Day 2 DESCRIPTION:The School of Engineering and Applied Science has partnered with the university’s Lesbian Gay Bisexual Transgender Center to offer Safe Space Training for interested faculty and staff on Thursday\, October 6th from 2pm-4pm and Friday\, October 7th  from 10am-12pm in the Forman Active Learning Classroom (217 Towne). \n Attendance at both sessions is required to complete the training in full. \nThis four-hour training program is designed to educate faculty and staff on how to better support LGBTQ+ individuals on our campus and in our classrooms. Those who participate will then be eligible to display a Safe Space sticker in their office\, indicating their active roles in promoting an accepting environment for all\, regardless of sexual orientation and gender identity/expression. The Safe Space Program has been shown to be an effective tool in helping LGBTQ+ students feel safe and included in the campus community. \nTo attend the workshops\, please register by September 29th using the website link below.     \nBrunch will be provided during the training session on Friday morning\, and there is space for up to 40 individuals.  If there is sufficient interest\, additional training sessions will be scheduled for later in the year. Please contact Emily Delany at eedelany@seas.upenn.edu with any additional questions. URL:https://seasevents.nmsdev7.com/event/fall-2022-safe-space-training-for-penn-engineering-faculty-staff-day-2/ LOCATION:217 Towne – Forman Active Learning Classroom\, 220 South 33rd Street\, Towne 217\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Diversity, Equity and Inclusion ORGANIZER;CN="Office of Diversity%2C Equity and Inclusion":MAILTO:odei@seas.upenn.edu END:VEVENT END:VCALENDAR