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DTSTART;TZID=America/New_York:20190212T104500
DTEND;TZID=America/New_York:20190212T114500
DTSTAMP:20260409T042548
CREATED:20190110T201544Z
LAST-MODIFIED:20190110T201544Z
UID:10006125-1549968300-1549971900@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Fluid Mechanics and Turbulence in Extended Wind Farms"
DESCRIPTION:In this presentation we discuss several properties of the flow structure and turbulence in the wind turbine array boundary layer (WTABL). This particular type of shear flow develops when the atmospheric boundary layer interacts with an array of large wind turbines. Based on such understanding\, we aim to develop reduced order\, analytically tractable models. These are important engineering tools for wind energy\, both for design and control purposes. We will focus on two fluid mechanical themes relevant to wind farm design and control. The first topic deals with spectral characteristics of the fluctuations in power generated by an array of wind turbines in a wind farm. We show that modeling of the spatio-temporal structure of canonical turbulent boundary layers coupled with variants of the Kraichnan’s random sweeping hypothesis can be used to develop analytical predictions of the frequency spectrum of power fluctuations of wind farms. In the second part we describe a simple (deterministic) dynamic wake model\, its use for wind farm control\, and its extension to the case of yawed wind turbines. The work to be presented arose from collaborations with Juliaan Bossuyt\, Johan Meyers\, Richard Stevens\, Tony Martinez\, Michael Wilczek\, Carl Shapiro and Dennice Gayme. We are grateful for National Science Foundation support.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-fluid-mechanics-and-turbulence-in-extended-wind-farms/
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:20190212T150000
DTEND;TZID=America/New_York:20190212T160000
DTSTAMP:20260409T042548
CREATED:20190201T192545Z
LAST-MODIFIED:20190201T192545Z
UID:10006145-1549983600-1549987200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Visualization for People + Systems"
DESCRIPTION:Abstract:\n\nWhile computers can help us manage data\, human judgment and domain expertise is what turns it into understanding. Meeting the challenges of increasingly large and complex data requires methods that richly integrate the capabilities of both people and machines. In response to these challenges\, my research combines methods from visualization\, data management\, human-computer interaction\, and programming languages to enable effective methods for data analysis and communication.\n\nIn my talk\, I will present new languages and models that power interactive systems for scalable data exploration. Vega-Lite is a high-level declarative language for rapidly creating interactive visualizations\, while also providing a representation for tools that generate visualizations. Draco is a model of visualization design that extends Vega-Lite with design guidelines\, formal reasoning over the design space\, and visualization recommendation. Falcon and Pangloss enable scalable interaction and exploration of large data volumes by making principled trade-offs among people’s latency tolerance\, precomputation\, and the level of approximation. A recurring strategy across these projects is to leverage an understanding of people’s tasks and capabilities to inform system design and optimization.\n\nMy future research will contribute systems that automatically reason over domain-specific representations of interactive multi-view graphics\, visualizations of large data\, uncertainty representations\, and data analysis. This reasoning can inform how to efficiently run data science pipelines and enhance our ability to analyze and communicate data.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-visualization-for-people-systems/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Distinguished Lecture,Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190213T150000
DTEND;TZID=America/New_York:20190213T160000
DTSTAMP:20260409T042548
CREATED:20190110T201738Z
LAST-MODIFIED:20190110T201738Z
UID:10006126-1550070000-1550073600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Pixelated Polymers: Programming Function into Liquid Crystalline Polymer Networks and Elastomers"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-pixelated-polymers-programming-function-into-liquid-crystalline-polymer-networks-and-elastomers/
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:20190213T150000
DTEND;TZID=America/New_York:20190213T160000
DTSTAMP:20260409T042548
CREATED:20190204T142932Z
LAST-MODIFIED:20190204T142932Z
UID:10006146-1550070000-1550073600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Pixelated Polymers: Programming Function into Liquid Crystalline Polymer Networks and Elastomers"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-pixelated-polymers-programming-function-into-liquid-crystalline-polymer-networks-and-elastomers-2/
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:20190214T104500
DTEND;TZID=America/New_York:20190214T114500
DTSTAMP:20260409T042548
CREATED:20190206T205803Z
LAST-MODIFIED:20190206T205803Z
UID:10006150-1550141100-1550144700@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: "Engineering Hierarchical Polymers to Control Biomolecular Transport"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-engineering-hierarchical-polymers-to-control-biomolecular-transport/
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:20190214T150000
DTEND;TZID=America/New_York:20190214T160000
DTSTAMP:20260409T042548
CREATED:20190211T202016Z
LAST-MODIFIED:20190211T202016Z
UID:10006152-1550156400-1550160000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Deep Learning Models for Language: What they learn\, where they  fail\, and how to make them more robust"
DESCRIPTION:Abstract: \nDeep learning has become pervasive in everyday life\, powering language applications like Apple’s Siri\, Amazon’s Alexa\, and Google Translate. The inherent limitation of these deep learning systems\, however\, is that they often function as a “black box\,” preventing researchers and users from discerning the roles of different components and what they learn during the training process. In this talk\, I will describe my research on interpreting deep learning models for language along three lines. First\, I will present a methodological framework for investigating how these models capture various language properties. The experimental evaluation will reveal a learned hierarchy of internal representations in deep models for machine translation and speech recognition. Second\, I will demonstrate that despite their success\, deep models of language fail to deal even with simple kinds of noise\, of the type that humans are naturally robust to. I will then propose simple methods for improving their robustness to noise. Finally\, I will turn to an intriguing problem in language understanding\, where dataset biases enable trivial solutions to complex language tasks. I will show how to design models that are more robust to such biases\, and learn less biased latent representations.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-deep-learning-models-for-language-what-they-learn-where-they-fail-and-how-to-make-them-more-robust/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190215T093000
DTEND;TZID=America/New_York:20190215T103000
DTSTAMP:20260409T042548
CREATED:20190208T153245Z
LAST-MODIFIED:20190208T153245Z
UID:10006154-1550223000-1550226600@seasevents.nmsdev7.com
SUMMARY:ESE seminar: "Engineering the Quantum Vacuum"
DESCRIPTION:The vacuum of space may seem empty and boring; however\, this void is actually teeming with activity. According to the laws of quantum mechanics\, fluctuations of electromagnetic fields are omnipresent even in empty space. These fluctuations can manifest themselves in a variety of ways\, including the generation of nanoscale forces between objects—a phenomenon known as the Casimir effect. In this talk\, I will discuss our development of novel measurement techniques to probe these interactions and how we can engineer and control such quantum effects for useful devices. I will demonstrate our ability to tailor the sign and magnitude of the force\, as well as how we can induce rotations (i.e. a Casimir torque) between optically birefringent materials. Beyond interesting science\, our ability to control these interactions will give us new opportunities for nanoscale devices and to modify chemistry and electronics in ways not previously possible. Finally\, I will briefly outline a few additional research areas from our lab related to novel optical phenomena\, materials\, and devices.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-engineering-the-quantum-vacuum/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190215T110000
DTEND;TZID=America/New_York:20190215T120000
DTSTAMP:20260409T042548
CREATED:20190211T202441Z
LAST-MODIFIED:20190211T202441Z
UID:10006156-1550228400-1550232000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar:" Physical Scene Understanding"
DESCRIPTION:Abstract:  \nHuman intelligence is beyond pattern recognition. From a single image\, we’re able to explain what we see\, reconstruct them in 3D\, predict what’s going to happen\, and plan our actions. In this talk\, I will present our recent work on physical scene understanding—reverse-engineering these capacities to make machines that are versatile\, data-efficient\, and have better generalization ability. The core idea is to exploit the scene’s compositional structure by integrating deep recognition networks with generative\, approximate simulation engines. I’ll focus on a few topics: building an object representation for both its geometry and physics; learning compact\, interpretable dynamics models for planning and control; perception and reasoning beyond vision.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-physical-scene-understanding/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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