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DTSTART;TZID=America/New_York:20211018T120000
DTEND;TZID=America/New_York:20211018T130000
DTSTAMP:20260406T144944
CREATED:20210913T133046Z
LAST-MODIFIED:20210913T133046Z
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SUMMARY:PSOC@Penn: Celeste Nelson
DESCRIPTION:Room: Towne 225/Raisler Lounge \nFor zoom link\, contact manu@seas.upenn.edu.
URL:https://seasevents.nmsdev7.com/event/psocpenn-celeste-nelson/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211019T100000
DTEND;TZID=America/New_York:20211019T113000
DTSTAMP:20260406T144944
CREATED:20210914T155638Z
LAST-MODIFIED:20210914T155638Z
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SUMMARY:MEAM Seminar: "Computational Mechanics for Landing on Mars"
DESCRIPTION:Current technology for decelerating a spacecraft from the high speed of atmospheric entry to the final stages of landing on Mars is based on low-density supersonic decelerators such as low mass and high packaging efficiency parachute systems. To enable future exploration missions featuring sophisticated robots and safely land heavier spacecraft on Mars\, larger than before high-speed parachutes and inflatable drag devices are needed. The design\, development\, and maturing of such devices for future use at Mars require guidance from predictive simulations based on a high-fidelity\, multi-disciplinary computational model for parachute inflation dynamics (PID) and drag prediction. The development of such a model is a formidable challenge. It must account for shocks\, turbulence\, and porous flow boundary conditions; the complexity of the behaviour of fabric material; massive contact between very thin surfaces; and highly nonlinear fluid-structure interactions in the presence of topological changes. The computational model must also be able to predict various instabilities of a parachute such as flutter and pulsation\, the influence on its performance of several design factors including material and geometric porosities\, and material failure. This lecture will discuss an ongoing effort at Stanford University\, in collaboration with NASA Ames and the Jet Propulsion Laboratory\, for the development of such a computational model and some associated computational innovations. These include: a multi-scale approach for modeling the dynamics of woven fabrics based on the concept of a locally attached microstructure and mechanics-informed machine learning; a discrete-event-free\, spurious-oscillation-free\, and total variation diminishing embedded boundary method for multi-material problems; a subgrid scale modeling approach for the treatment of porous wall boundary conditions; and an energy-conserving approach for the discretization of transmission conditions at the interface between fluid and structural representations of disparate spatial dimensions. The lecture will also report on validation results for the simulation of the supersonic inflation dynamics of: the parachute that landed Curiosity on Mars\, on August 6\, 2012; and those used in NASA’s 2018 ASPIRE tests to help decide which parachute design to use on the recent Mars 2020 mission that landed Perseverance on Mars\, on February 18\, 2021.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-computational-mechanics-for-landing-on-mars/
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:20211019T110000
DTEND;TZID=America/New_York:20211019T120000
DTSTAMP:20260406T144944
CREATED:20211013T193332Z
LAST-MODIFIED:20211013T193332Z
UID:10006929-1634641200-1634644800@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium Seminar - "Distributed Estimation Under Privacy and Communication Constraints"
DESCRIPTION:Distributed estimation is a central task in modern data science\, where datasets are often generated from distributed sources or are too large to be stored on a centralized machine\, and communication is subject to bandwidth and privacy limitations. In this talk\, we will consider the problem of estimating high-dimensional distributions and their parameters from distributed samples under communication and differential privacy constraints. We will develop novel encoding and estimation mechanisms that simultaneously achieve optimal privacy and communication efficiency in various canonical settings\, including both probabilistic and so called “distribution-free” models. We will investigate both global (worst-case) as well as local complexity of these tasks\, where the latter captures the hardness of estimating a specific instance of the problem. We will complement our achievability results with information-theoretic lower bounds that describe how Fisher information from statistical samples scales with privacy and communication constraints. We will conclude by discussing how our theoretical results can be used to improve the experimental performance of federated learning algorithms.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-seminar-distributed-estimation-under-privacy-and-communication-constraints/
LOCATION:Zoom – Meeting ID: 282 221 4402
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211020T150000
DTEND;TZID=America/New_York:20211020T160000
DTSTAMP:20260406T144944
CREATED:20211018T152935Z
LAST-MODIFIED:20211018T152935Z
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SUMMARY:Fall 2021 GRASP SFI: “Diversity and Inequality in Social Networks”
DESCRIPTION:Abstract: Online social networks often mirror inequality in real-world networks\, from historical prejudice\, economic or social factors. Such disparities are often picked up and amplified by algorithms that leverage social data for the purpose of providing recommendations\, diffusing information\, or forming groups. In this talk\, I discuss an overview of my research involving explanations for algorithmic bias in social networks\, briefly describing my work in information diffusion\, grouping\, and general definitions of inequality. Using network models that reproduce inequality seen in online networks\, we’ll characterize the relationship between pre-existing bias and algorithms in creating inequality\, discussing different algorithmic solutions for mitigating bias. \n*This is a HYBRID Event with in-person attendance to watch the Zoom stream in Levine 307 and Virtual attendance via Zoom here…
URL:https://seasevents.nmsdev7.com/event/fall-2021-grasp-sfi-diversity-and-inequality-in-social-networks/
LOCATION:PA
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:20211020T153000
DTEND;TZID=America/New_York:20211020T163000
DTSTAMP:20260406T144944
CREATED:20210812T193919Z
LAST-MODIFIED:20210812T193919Z
UID:10006850-1634743800-1634747400@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Spatial and Dynamical Control in Metabolic Engineering Using Organelle Engineering and Optogenetics"
DESCRIPTION:Abstract \nMetabolic engineering aims to rewire cellular metabolism\, typically of microorganisms\, to produce fuels\, chemicals\, pharmaceuticals\, and other valuable products from renewable resources. However\, it is often challenging to achieve the titers\, yields\, and productivities required for commercial viability. Spatial and dynamical control of engineered metabolic pathways can greatly improve their efficiency to address this obstacle. We have developed strategies to enhance the flux and specificity of metabolic pathways by spatially compartmentalizing them in yeast mitochondria and synthetic organelles. This helps increase the local concentrations of enzymes and intermediate metabolites\, prevent metabolic bottlenecks\, and reduce metabolite loss to competing pathways. In addition\, I will present a new strategy to dynamically control metabolic pathways using optogenetics. There are many advantages of using light to control metabolic pathways\, including its orthogonality\, tunability\, and the ease with which it can be applied or removed instantly in any schedule to continuously manipulate metabolism throughout fermentations. I will present several optogenetic circuits we have built to control microbial growth and production with light\, the impact they have on chemical production\, and the strategies we have developed to overcome the limited light penetration of fermentations operating at high cell density in lab scale bioreactors. Finally\, I will provide a perspective on how these technologies may come together to prescribe a new paradigm for spatial and dynamical control in metabolic engineering to improve microbial chemical production.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-spatial-and-dynamical-control-in-metabolic-engineering-using-organelle-engineering-and-optogenetics/
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:20211021T080000
DTEND;TZID=America/New_York:20211021T193000
DTSTAMP:20260406T144944
CREATED:20210928T175745Z
LAST-MODIFIED:20210928T175745Z
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SUMMARY:Singh Center for Nanotechnology 2021 Annual User Meeting
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/singh-center-for-nanotechnology-2021-annual-user-meeting/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Meeting,Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211021T123000
DTEND;TZID=America/New_York:20211021T133000
DTSTAMP:20260406T144944
CREATED:20211008T132219Z
LAST-MODIFIED:20211008T132219Z
UID:10006924-1634819400-1634823000@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Topological Physics: from Photons to Electrons"
DESCRIPTION:There are many intriguing physical phenomena that are associated with topological features — global properties that are not discernible locally. The best-known examples are quantum Hall effects in electronic systems\, where insensitivity to local properties manifests itself as conductance through edge states which are insensitive to defects and disorder. In this talk\, Dr. Hafezi will first discuss how similar physics can be explored with photons; specifically\, how various topological models can be simulated in various photonics systems\, from ring resonators to photonic crystals. He then will discuss that the integration of strong optical nonlinearity can lead to unique bosonic phenomena\, such as topological frequency combs\, topological source of quantum light and chiral quantum optics. These results may enable the development of classical and quantum optical devices with built-in protection for next-generation optoelectronic and quantum technologies. In the end\, Dr. Hafezi will cover the topological interplay between photonic and electronic systems. Specifically\, he investigates how light can create and manipulate topological states of electrons.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-topological-physics-from-photons-to-electrons/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211021T153000
DTEND;TZID=America/New_York:20211021T163000
DTSTAMP:20260406T144944
CREATED:20210707T143140Z
LAST-MODIFIED:20210707T143140Z
UID:10006823-1634830200-1634833800@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Phage and Robotics-Assisted Biomolecular Evolution" (Emma Chory)
DESCRIPTION:This seminar will be held live and broadcast on zoom – check email for link or contact ksas@seas.upenn.edu. \nEvolution occurs when selective pressures from the environment shape inherited variation over time. Within the laboratory\, evolution is commonly used to engineer proteins and RNA\, but experimental constraints have limited our ability to reproducibly and reliably explore key factors such as population diversity\, the timing of environmental changes\, and chance. We developed a high-throughput system for the analytical exploration of molecular evolution using phage-based mutagenesis to evolve many distinct classes of biomolecules simultaneously. In this talk\, I will describe the development of our open-source python:robot integration platform which enables us to adjust the stringency of selection in response to real-time evolving activity measurements and to dissect the historical\, environmental\, and random factors governing biomolecular evolution. Finally\, I will talk about our many on-going projects which utilize this system to evolve previously intractable biomolecules using novel small-molecule substrates to target the undruggable proteome.
URL:https://seasevents.nmsdev7.com/event/be-seminar-emma-chory/
LOCATION:Moore 216\, 200 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211022T103000
DTEND;TZID=America/New_York:20211022T114500
DTSTAMP:20260406T144944
CREATED:20211019T190117Z
LAST-MODIFIED:20211019T190117Z
UID:10006935-1634898600-1634903100@seasevents.nmsdev7.com
SUMMARY:GRASP on Robotics: "The Importance of Pneumatic Actuation in Adaptive Robotic Devices"
DESCRIPTION:Abstract: Soft pneumatic actuators have become a popular implement in modern robotic systems due to their intrinsic mechanical compliance\, which affords researchers levels of robustness and adaptability that can be difficult to achieve in rigid-body\, motor-driven devices. However\, with the physical advantages of these versatile actuators come significant challenges in sensing\, feedback control\, and sustainable\, portable powering that can limit their feasibility in real-world applications. This talk will highlight the engineering challenges of pneumatic actuation within the context of ongoing robotics research efforts in the ARM Lab\, including the development of a soft\, EMG-controlled robotic knee exoskeleton. The implications of new pneumatic actuation approaches on the future of smart\, wearable human augmentation systems will also be discussed.
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-the-importance-of-pneumatic-actuation-in-adaptive-robotic-devices/
LOCATION:PA
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:20211022T140000
DTEND;TZID=America/New_York:20211022T150000
DTSTAMP:20260406T144944
CREATED:20210726T144449Z
LAST-MODIFIED:20210726T144449Z
UID:10006838-1634911200-1634914800@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Kinetic theory for superparameterization of sea ice dynamics"
DESCRIPTION:Arctic sea ice comprises of many ice floes whose dynamics is driven by oceanic/atmospheric currents and floe-floe interaction. Models of the effective sea ice dynamics  at large scales typically employ hydrodynamic equations of motion\, such as mass and momentum conservation\, with complex constitutive laws attempting to capture the rheology of sea ice as a continuum. Although hydrodynamic sea ice models have enjoyed some successes\, they have well-documented limitations in capturing phenomena such as fracture and lead formation\, which are direct manifestation of the granular nature of sea ice. \nIn this talk\, we describe a framework that generalizes hydrodynamic models for sea ice using a mesoscopic (kinetic) description that systematically couples macro-scale PDEs with small-scale particle methods. This framework employs a time-dependent probability distribution over floe position and velocity\, evolving according to the Boltzmann equation. The mass density and momentum (computed by integrating over the velocity coordinate) evolve according to the same macro-scale hydrodynamic equations used in previous models. However\, rather than requiring an effective rheology\, kinetic models of the collisions between co-located ice particles determine the small-scale evolution of the conditional density and influence the macro-scale dynamics. To simulate this system efficiently\, we construct a two-tiered numerical method that employs finite element methods to solve the macro-scale PDEs and a particle method to evolve the conditional density over the velocity coordinate. We illustrate the framework with idealized numerical experiments demonstrating that it can naturally reproduce phenomena such as ice breakup under a divergent flow.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-kinetic-theory-for-superparameterization-of-sea-ice-dynamics/
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
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