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DTSTART;TZID=America/New_York:20231002T140000
DTEND;TZID=America/New_York:20231002T160000
DTSTAMP:20260404T014804
CREATED:20230911T130410Z
LAST-MODIFIED:20230911T130410Z
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SUMMARY:BE Doctoral Dissertation Defense: "Reproducible\, generalizable\, and scalable analytic software for large neuroimaging datasets" (Chenying Zhao)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Theodore D. Satterthwaite are pleased to announce the Doctoral Dissertation Defense of Chenying Zhao.\n\nTitle: Reproducible\, generalizable\, and scalable analytic software for large neuroimaging datasets\n \nDate: October 2nd\, Monday\nTime: 2:00pm\nLocation: John Morgan Building (3620 Hamilton Walk) – The Class of 1962 Auditorium.\n\nVirtual option:\nZoom link: https://upenn.zoom.us/j/96808017662?pwd=aHV4MWZXSTlweWhOZjhKME5DK0s0Zz09\n* Meeting ID: 968 0801 7662\n* Passcode: 543941 \n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-reproducible-generalizable-and-scalable-analytic-software-for-large-neuroimaging-datasets-chenying-zhao/
LOCATION:Class of 62 Auditorium\, John Morgan Building\, 3620 Hamilton Walk\, Philadelphia\, PA\, 19104
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231003T130000
DTEND;TZID=America/New_York:20231003T140000
DTSTAMP:20260404T014804
CREATED:20230829T195853Z
LAST-MODIFIED:20230829T195853Z
UID:10007654-1696338000-1696341600@seasevents.nmsdev7.com
SUMMARY:ESE Fall Seminar - "Agile Design of Domain-Specific Accelerators and Compilers"
DESCRIPTION:With the slowing of Moore’s law\, computer architects have turned to domain-specific hardware accelerators to improve the performance and efficiency of computing systems. However\, programming these systems entails significant modifications to the software stack to properly leverage the specialized hardware. Moreover\, the accelerators become obsolete quickly as the applications evolve. What is needed is a structured approach for generating programmable accelerators and for updating the software compiler as the accelerator architecture evolves with the applications. In this talk\, I will describe a new agile methodology for co-designing programmable hardware accelerators and compilers. Our methodology employs a combination of new programming languages and formal methods to automatically generate the accelerator hardware and its compiler from a single specification. This enables faster evolution and optimization of accelerators\, because of the availability of a working compiler. I will showcase this methodology using Amber\, a coarse-grained programmable accelerator for imaging and machine learning (ML) we designed and fabricated using our flow in TSMC 16 nm technology. I will show how we agilely evolved Amber into Onyx\, our next generation accelerator\, using an application-driven design space exploration framework called APEX enabled by our hardware-compiler co-design flow.
URL:https://seasevents.nmsdev7.com/event/ese-fall-seminar-title-tbd-4/
LOCATION:Zoom – Meeting ID 990 7434 6805
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231004T120000
DTEND;TZID=America/New_York:20231004T131500
DTSTAMP:20260404T014804
CREATED:20230911T150915Z
LAST-MODIFIED:20230911T150915Z
UID:10007684-1696420800-1696425300@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Getting Computers to Do What We Want: Programming Meets Machine Learning" (Michael Littman\, Brown University)
DESCRIPTION:ABSTRACT: \nIt is immensely empowering to delegate information processing and automation work to machines and have them carry out difficult tasks on our behalf. But programming computers is hard. The traditional approach to this problem is to try to fix people: They should work harder to learn to code. In this talk\, I argue that a promising alternative is to meet people partway. Specifically\, powerful new approaches to machine learning provide ways to infer intent from disparate signals and\, with your help\, could help make it easier for everyone to get computational help with their vexing problems. \n 
URL:https://seasevents.nmsdev7.com/event/asset-seminar-getting-computers-to-do-what-we-want-programming-meets-machine-learning-michael-littman-brown-university/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="AI-enabled Systems%3A Safe%2C Explainable%2C and Trustworthy (ASSET) Center":MAILTO:asset-info@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231004T130000
DTEND;TZID=America/New_York:20231004T150000
DTSTAMP:20260404T014804
CREATED:20230926T131005Z
LAST-MODIFIED:20230926T131005Z
UID:10007703-1696424400-1696431600@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Leveraging Modeling and Remodeling based Bone Formation in Cyclic Administration of Anabolic Agents for Osteoporosis Treatment" (Tala Azar)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. X. Sherry Liu are pleased to announce the Doctoral Dissertation Defense of Tala Azar.\n\n\n\n\n\nTitle: Leveraging Modeling and Remodeling based Bone Formation in Cyclic Administration of Anabolic Agents for Osteoporosis Treatment\n\nDate: October 4\, 2023\nTime: 1:00 PM EST\nLocation: John Morgan Reunion Auditorium.\n\n\nZoom option available: \nhttps://upenn.zoom.us/j/93038930691?pwd=NTZvUHVUZktvNDdZWm11NXF4eHZMdz09\n\nMeeting ID: 930 3893 0691\nPasscode: 082026\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-leveraging-modeling-and-remodeling-based-bone-formation-in-cyclic-administration-of-anabolic-agents-for-osteoporosis-treatment-tala-azar/
LOCATION:JMB Reunion Auditorium\, 3620 Hamilton Walk\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231004T150000
DTEND;TZID=America/New_York:20231004T160000
DTSTAMP:20260404T014804
CREATED:20230927T151204Z
LAST-MODIFIED:20230927T151204Z
UID:10007704-1696431600-1696435200@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP SFI: Andy Zeng\, Google DeepMind\, "From words to actions"
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. \nABSTRACT\nThe rise of recent Foundation models (and applications e.g. ChatGPT) offer an exciting glimpse into the capabilities of large deep networks trained on Internet-scale data. They hint at a possible blueprint for building generalist robot brains that can do anything\, anywhere\, for anyone. Nevertheless\, robot data is expensive – and until we can bring robots out into the world (already) doing useful things in unstructured places\, it will be challenging to match the same amount of diverse data being used to train e.g. large language models today. In this talk\, I will briefly discuss some of the lessons we’ve learned while scaling real robot data collection\, how we’ve been thinking about Foundation models\, and how we might bootstrap off of them (and modularity) to make our robots useful sooner.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-sfi-andy-zeng/
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:20231004T153000
DTEND;TZID=America/New_York:20231004T163000
DTSTAMP:20260404T014804
CREATED:20230825T194713Z
LAST-MODIFIED:20230825T194713Z
UID:10007645-1696433400-1696437000@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Statistical Teleodynamics: A Unified Theory of Emergent Arbitrage Equilibrium Phenomena in Active and Passive Matter" (Venkatasubramanian\, Columbia University)
DESCRIPTION:The physics of active matter\, such as bacterial colonies and bird flocks\, exhibiting interesting self-organizing dynamical behavior has gained considerable importance in recent years. Recent theoretical advances use techniques from hydrodynamics\, kinetic theory\, and non-equilibrium statistical physics. However\, for biological agents\, these don’t seem to recognize explicitly their critical feature\, namely\, the role of survival-driven purpose and the attendant pursuit of maximum utility. In this talk\, I will present a novel game-theoretic framework\, statistical teleodynamics\, that accounts for this feature explicitly and shows how it can be integrated with conventional statistical mechanics to develop a unified theory of arbitrage equilibrium in active and passive matter. \nThe theory proposes a spectrum of self-actualizing capabilities\, going from none to completely strategic decision-making\, and envisions the various examples of active matter systems occupying someplace in this spectrum. I will show how statistical teleodynamics reduces to familiar results in statistical mechanics in the limit of zero self-actualization. At the other extreme\, in an economic setting\, it provides novel insights into the emergence of income distributions and their fairness in an ideal free-market society. As examples of agents in between these limits\, I will discuss how the theory predicts pattern formation in mussel beds\, the emergence of ant craters\, and the flocking of birds.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-statistical-teleodynamics-a-unified-theory-of-emergent-arbitrage-equilibrium-phenomena-in-active-and-passive-matter-venkatasubramanian-columbia-university/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231005T103000
DTEND;TZID=America/New_York:20231005T120000
DTSTAMP:20260404T014804
CREATED:20230730T140144Z
LAST-MODIFIED:20230730T140144Z
UID:10007617-1696501800-1696507200@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Nanomaterials Enable Delivery of Genetic Material Without Transgene Integration in Mature Plants" University of California - Berkeley
DESCRIPTION:Genetic engineering of plants is at the core of sustainability efforts\, natural product synthesis\, and agricultural crop engineering. The plant cell wall is a barrier that limits the ease and throughput with which exogenous biomolecules can be delivered to plants. Current delivery methods either suffer from host range limitations\, low transformation efficiencies\, tissue regenerability\, tissue damage\, or unavoidable DNA integration into the host genome. Here\, we demonstrate efficient diffusion-based biomolecule delivery into tissues and organs of intact plants of several species with a suite of pristine and chemically-functionalized high aspect ratio nanomaterials [1]. Efficient DNA delivery and strong protein expression without transgene integration is accomplished in mature Nicotiana benthamiana\, Eruca sativa (arugula)\, Triticum aestivum (wheat) and Gossypium hirsutum (cotton) leaves and arugula protoplasts [2]. Notably\, we demonstrate that transgene expression is transient and devoid of transgene integration into the plant host genome\, of potential utility for easing regulatory oversight of transformed crops as genetically modified organisms (GMOs) [3\, 4]. We also demonstrate a nanoparticle-based strategy in which small interfering RNA (siRNA) is delivered to mature Nicotiana benthamiana leaves and effectively silence a gene with 95% efficiency. We find that nanomaterials both facilitate biomolecule transport into plant cells\, while also protecting polynucleotides such as RNA from nuclease degradation. DNA origami and nanostructures and gold nanoparticles further enable siRNA delivery to plants [5]\, which we use to elucidate force-independent transport phenomena of nanoparticles to the plant cell wall [6\, 7]. Lastly\, we demonstrate protein delivery with newly-discovered peptide-based nanoparticles towards DNA-free genome editing. Our work provides a tool for species-independent\, targeted\, and passive delivery of genetic material\, without transgene integration\, into plant cells for diverse plant biotechnology applications.  \n1. Demirer\, G.S.\, Zhang\, H.\, Goh\, N.S.\, Grandio\, E.G.\, Landry\, M.P. Carbon nanotube-mediated DNA delivery without transgene integration in intact plants. Nature Protocols (2019)  \n2. Demirer\, G.S.\, Zhang\, H.\, Matos\, J.\, Goh\, N.\, Cunningham\, F.J.\, Sung\, Y.\, Chang\, R.\, Aditham\, A.J.\, \, Chio\, L.\, Cho\, M.J.\, Staskawicz\, B.\, Landry\, M.P. High Aspect Ratio Nanomaterials Enable Delivery of Functional Genetic Material Without DNA Integration in Mature Plants. Nature Nanotechnology (2019)  \n3. Landry\, M.P.‡\, Mitter\, N.‡ How nanocarriers delivering cargoes in plants can change the GMO landscape. Nature Nanotechnology (2019)  \n4. Demirer\, G.S.‡\, Silva\, T.N.\, Jackson\, C.T.\, Thomas\, J.B.\, Ehrhardt\, D.\, Rhee\, S.Y.‡\, Mortimer\, J.C.‡\, Landry\, M.P.‡ Nanotechnology to advance CRISPR/Cas genetic engineering of plants. Nature Nanotechnology (2021)  \n5. Zhang\, H.\, Zhang\, H.\, Demirer\, G.S.\, Gonzales-Grandio\, E.\, Fan\, C.\, Landry\, M.P.‡ Engineering DNA nanostructures for siRNA delivery in plants. Nature Protocols (2020)  \n6. Zhang\, H.*\, Demirer\, G.S.*\, Zhang\, H.\, Ye\, T.\, Goh\, N.S.\, Aditham\, A.J.\, Cunningham\, F.J.\, Fan\, C.\, Landry\, M.P. Low-dimensional DNA Nanostructures Coordinate Gene Silencing in Mature Plants. PNAS (2019)  \n7. Zhang\, H.*\, Goh\, N.S.*\, Wang\, J.\, Demirer\, G.S.\, Butrus\, S.\, Park\, S-J\, Landry\, M.P.‡ Nanoparticle Cellular Internalization is Not Required for RNA Delivery to Mature Plant Leaves. Nature Nanotechnology (2021) 
URL:https://seasevents.nmsdev7.com/event/mse-seminar-nanomaterials-enable-delivery-of-genetic-material-without-transgene-integration-in-mature-plants-university-of-california-berkeley/
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:20231005T153000
DTEND;TZID=America/New_York:20231005T163000
DTSTAMP:20260404T014804
CREATED:20230726T135320Z
LAST-MODIFIED:20230726T135320Z
UID:10007614-1696519800-1696523400@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Synthetic mucins: from new chemical routes to engineered cells" (Jessica R. Kramer\, University of Utah)
DESCRIPTION:Mucus is essential for life and serves as a barrier to hydrate\, lubricate\, and protect tissues. Mucin glycoproteins are the major component of mucus. There are 20+ mucin genes with variable expression patterns\, splicing\, and post-translational glycosylation that result in structures with discrete biochemical functions. Mucins play roles in infection\, immunity\, inflammation and cancer. Such diversity has challenged study of structure-function relationships. The Kramer lab is developing scalable methods\, based on polymerization of amino acid N-carboxyanhydrides\, to synthesize glycoproteins that capture the chemical and physical properties of native mucins. We are utilizing these synthetic mucins to engineer the glycocalyx of live cells to shed light on the role of glycans in health and disease. Areas of focus for our lab are progression of epithelial cancers\, and pathogen infection processes. \n 
URL:https://seasevents.nmsdev7.com/event/be-seminar-synthetic-mucins-from-new-chemical-routes-to-engineered-cells-jessica-r-kramer-university-of-utah/
LOCATION:216 Moore Building
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231006T080000
DTEND;TZID=America/New_York:20231006T180000
DTSTAMP:20260404T014804
CREATED:20230911T154248Z
LAST-MODIFIED:20230911T154248Z
UID:10007686-1696579200-1696615200@seasevents.nmsdev7.com
SUMMARY:ASSET/IBI Symposium on Trustworthy AI for Health Care
DESCRIPTION:Organizers: Rajeev Alur (Penn Engineering)\, John Holmes (PSOM)\, Insup Lee (Penn Engineering)\, Qi Long (PSOM)\, Marylyn Richie (PSOM) \nEvent Description: Artificial intelligence and machine learning promise to revolutionize nearly every field\, sifting through massive amounts of data to find insights that humans would miss\, making faster and more accurate decisions and predictions as a result. Applying those insights to healthcare could yield life-saving benefits. Given the stakes\, however\, understanding exactly how these technologies arrive at their conclusions and having assurance guarantees\, is critical for adoption in the practice of medicine. The goal of this symposium is to bring together researchers in artificial intelligence\, biomedical informatics\, machine learning\, and clinical practitioners to develop trustworthy AI technology for health care applications. This day-long symposium is co-organized by ASSET\, a new Penn Engineering center on Trustworthy AI and IBI\, Institute for Biomedical Informatics\, housed in Perelman School of Medicine (PSOM). The program will consist of a keynote by Prof. Tina Hernandez-Boussard of Stanford University\, talks by Penn faculty on collaborative research in trustworthy AI for health care (see list of projects here)\, students’ posters\, and a panel. \n  \nAgenda: \n8:00 AM: Breakfast and registration \n8:30 AM: Welcome by Jonathan Epstein\, Executive Vice Dean and Chief Scientific Officer\, Perelman School of Medicine and David Meaney\, Senior Associate Dean\, Penn Engineering \n8:40 AM: Introduction to research at Penn in Trustworthy AI for healthcare: Rajeev Alur (Director\, ASSET) and Marylyn Ritchie (Director\, IBI) \n9:10 AM: Keynote: “Creating and Evaluating Ethical AI for Health Decisions” Professor Tina Hernandez-Boussard\, Stanford University \n10:00 AM: Coffee break \n10:20 AM: SEAS/PSOM Collaborative Research Presentations I; Chair: Insup Lee \n10:20 AM: “Combining Domain Knowledge and Data-Driven AI for Building Healthcare Applications with Scallop” Mayur Naik \n10:45 AM: “Utilizing Deep Learning to Diagnose Glaucoma from Fundus Photography in African Ancestry Individuals” Osbert Bastani\, Rebecca Salowe\, and Joan O’Brien \n11:10 AM: “Personalized medicine for hypertensive pregnancy disorders” Paris Pedikaris\, Walter Witschey\, and Nadav Schwartz \n11:35 AM: Lightning talks on poster presentations \n12:15 PM: Lunch and posters \n1:45 PM: SEAS/PSOM Collaborative Research Presentations II; Chair: Qi Long \n1:45 PM: “Multimodal explainable AI for prognostic stratification of glioblastoma patients” MacLean Nasrallah\, Bhakti Baheti\, and Sunny Rai \n2:10 PM: “Optimizing clinical monitoring for delivery room resuscitation using novel interpretable AI” Elizabeth Foglia and Kieran Murphy \n2:35 PM: “Calibrated machine learning methods for mobile health intervention” Ian Barnett\, Edgar Dobriban\, and Pratik Chaudhari \n3:00 PM: “Trustworthy explainable AI to revolutionize breast cancer risk assessment with digital breast tomosynthesis” Despina Kontos and Lyle Ungar \n3:25 PM: Coffee break \n3:45 PM: Panel on “Transitioning Research into Practice”\, Chair: John Holmes \nAllison Dennis; Program Officer\, NIH \nBill Hanson; Chief Medical Information Officer\, UPHS \nJennifer Roberts; Director\, Resilient Systems\, ARPA-H \nSrinivas Sridhara; Chief Data and Analytics Officer\, UPHS \nGoli Yamini; Associate Program Director\, NSF   \nZoom for Panel: https://upenn.zoom.us/j/96075553356 \n5:00 PM: Reception \n6:00 PM: Symposium concludes \nRegistration: \nThe registration is free and open to all members of the Penn community. Fill out the form to register. Please note that space is limited\, and we encourage you to register ASAP. Deadline to register is Friday\, September 22nd.  \nPoster Submissions: \nWe welcome junior researchers at Penn (i.e. doctoral and postdoctoral students\, trainees\, junior faculty) to present their work related to the workshop theme during the poster session. Fill out the form to submit a poster by Friday\, September 15th. Please note that we can accommodate only a fixed number of posters\, and we will notify the authors of accepted posters by Friday\, September 22nd.
URL:https://seasevents.nmsdev7.com/event/asset-ibi-symposium-on-trustworthy-ai-for-health-care/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231006T090000
DTEND;TZID=America/New_York:20231006T113000
DTSTAMP:20260404T014804
CREATED:20231002T004723Z
LAST-MODIFIED:20231002T004723Z
UID:10007717-1696582800-1696591800@seasevents.nmsdev7.com
SUMMARY:MSE PhD Defense: "Highly Controlled Transition Metal and Transition Metal Oxide Nanocrystals for Enhanced Catalytic and Magnetic Properties" Daniel Rosen
DESCRIPTION:This work presents the precise synthesis\, characterization\, and property analysis of transition metal and transition metal oxide nanocrystals (NCs). Specifically\, the interface between catalytic and magnetic properties is explored using precisely defined NCs. The methods of NC synthesis and characterizations are discussed including an in-depth discussion of Extended X-ray Absorption Fins Structure (EXAFS) based nanothermometry methods developed in this work. The ability to control the atomic structure of NCs is discussed in the context of rapidly induced intermetallic phase transitions for the electrochemical Oxygen Reduction Reaction (ORR). We discuss the use of these precisely designed NCs for their use in thermal catalysis in the presence of an induction field to show how the magnetic properties of NCs can enhance the catalytic properties specifically CO Oxidation and Cinnamaldehyde Hydrogenation. The discussion of nanothermometry is extended as an in-operando technique to better describe the magnetic effects of inductively enhanced CO Oxidation in flow. In the final chapter\, the precise synthesis of NCs is explored in order to generate both novel materials as well as materials synthesized through non solvothermal methods. The generation of core-shell materials in the context of ORR and the electrochemical Oxygen Evolution Reaction (OER) are discussed. These core-shell materials show great potential for magnetically enhanced catalysis\, and this possibility is discussed as a possible future work.
URL:https://seasevents.nmsdev7.com/event/mse-phd-defense-highly-controlled-transition-metal-and-transition-metal-oxide-nanocrystals-for-enhanced-catalytic-and-magnetic-properties-daniel-rosen/
LOCATION:LRSM Reading Room\, 3231 Walnut St.\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231006T103000
DTEND;TZID=America/New_York:20231006T114500
DTSTAMP:20260404T014804
CREATED:20230906T153356Z
LAST-MODIFIED:20230906T153356Z
UID:10007671-1696588200-1696592700@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP on Robotics: Al Rizzi\, Boston Dynamics AI\, "Developing Robots that are both Physically and Cognitively Capable"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. \nABSTRACT\nDr. Rizzi will provide an overview of the recently established Boston Dynamics AI Institute and its developing research efforts. This will include a discussion of the motivation for developing highly capable dynamic robots\, a brief history of some of the robotics research and development work he participated in at Boston Dynamics\, and an overview of the goals and projects being undertaken at the AI Institute. One key goal of the AI Institute is to shift the way we think about improving the capability of robot systems by simultaneously developing systems and algorithms that combine high performance mechanisms with highly capable control systems and cutting edge embodied AI systems.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-on-robotics-al-rizzi-boston-dynamics-ai-developing-robots-that-are-both-physically-and-cognitively-capable/
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:20231006T140000
DTEND;TZID=America/New_York:20231006T150000
DTSTAMP:20260404T014804
CREATED:20230928T205210Z
LAST-MODIFIED:20230928T205210Z
UID:10007716-1696600800-1696604400@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Wind\, Waves\, and Wakes: Large Eddy Simulation of Full-Scale Offshore Wind Farms under Realistic Atmospheric and Oceanic Conditions"
DESCRIPTION:Ambitious targets on aggressive timelines have been heralded for the development of offshore wind energy in the United States\, especially in New Jersey with a target of 11 GW (nearly 2/3 of current generation) of offshore wind energy capacity by 2040. With these targets and timelines\, immense effort is required to minimize risk (financial risk\, energy system risk\, and environmental risk)\, and computational simulations of full-scale offshore wind farms under realistic atmospheric and oceanic conditions will be absolutely critical in siting\, operations\, forecasting\, and understanding potential climate impacts. Such computational simulations are exceptionally challenging due to the multi-physics\, multi-scale nature of the problem from the smallest scales of the waves and the turbulence to the multi-kilometer scales of the farms. As a result\, for full-scale farm simulations with Large Eddy Simulation (LES)\, much of the key physical phenomena will be unresolved. In this seminar\, our efforts toward full-scale farm simulations with LES will be discussed. Our computationally efficient wall-modeled LES framework combines an Actuator Disk Model for the wind turbines with a drag force-based model for the influence of the oceanic waves on the marine atmospheric boundary layer\, which avoids ad hoc parameterization of oceanic waves as a simple roughness but at no increased cost. Our wall-modeled framework is shown to be orders of magnitude less expensive than wall-resolved/wave-phase-resolved simulations without any loss in accuracy. Recent efforts have focused on extending our approach to oceanic wave spectra\, including a dynamic procedure to characterize completely unresolved waves\, and to swell. Finally\, using our framework\, the sensitivity of offshore wind farms to wave characteristics is assessed to demonstrate that the waves are a leading order influence on offshore wind farm performance.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-wind-waves-and-wakes-large-eddy-simulation-of-full-scale-offshore-wind-farms-under-realistic-atmospheric-and-oceanic-conditions/
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
END:VCALENDAR