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BEGIN:VCALENDAR
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X-WR-CALDESC:Events for Penn Engineering Events
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TZID:America/New_York
BEGIN:DAYLIGHT
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TZNAME:EDT
DTSTART:20180311T070000
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DTSTART:20181104T060000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190226T110000
DTEND;TZID=America/New_York:20190226T120000
DTSTAMP:20190212T211631Z
CREATED:20190212T211631Z
LAST-MODIFIED:20190212T211631Z
UID:10006158-1551178800-1551182400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "New Designer Materials: Sculpting Electromagnetic Fields on the Atomic Scale"
DESCRIPTION:New optical nanomaterials hold the potential for breakthroughs in a wide range of areas from ultrafast optoelectronics such as modulators\, light sources and hyperspectral detectors\, to efficient upconversion for energy applications\, bio-sensing and quantum information science. An exciting opportunity to realize such new nanomaterials lies in controlling the local electromagnetic environment on the atomic- and molecular-scale (~1-10 nm)\, which enables extreme local field enhancements. We use creative nanofabrication techniques at the interface between chemistry and physics to realize this new regime together with ultrafast optical techniques to probe the emerging phenomena. Here\, I will provide an overview of our recent research including high-speed thermal photodetectors\, ultrafast spontaneous emission and metasurface-enhanced biosensors.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-new-designer-materials-sculpting-electromagnetic-fields-on-the-atomic-scale/
LOCATION:Room 337\, Towne Building\, 220 South 33rd 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:20190226T103000
DTEND;TZID=America/New_York:20190226T120000
DTSTAMP:20190219T211045Z
CREATED:20190219T211045Z
LAST-MODIFIED:20190219T211045Z
UID:10006172-1551177000-1551182400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Interfacial Soft Matter"
DESCRIPTION:Surface tension plays a critical role in a wide range of biological\, environmental\, technological and geophysical settings. In this talk\, I will present three different problems dealing with interfacial soft matter that find motivation in markedly diverse areas. First\, I will discuss the evaporation kinetics and flow dynamics of non-spherical sessile drops undergoing phase change. While previous investigations have been restricted to axisymetric drops\, I will illustrate a number of new geometry-induced effects emerging from consideration of a range of non-spherical drops. Second\, I will describe the non-equilibrium dynamics and statistical behavior of a hydrodynamic pilot-wave system\, a liquid drop self-propelling on the surface of a vibrating fluid bath through a resonant interaction with its own wave field. In particular\, I will consider the wave-mediated interaction of this active system with variable bottom topography to illustrate the emergence of wavelike statistics around defects\, and spontaneous collective order and phase transitions in spin lattices. The final part of this talk will deal with active colloids. Specifically\, I will consider the realignment of a Janus drop\, a double-emulsion drop formed by two immiscible fluids\, in response to an externally-imposed temperature gradient. The development of dynamically reconfigurable microlenses based on this mechanism will also be discussed.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-interfacial-soft-matter/
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:20190222T150000
DTEND;TZID=America/New_York:20190222T160000
DTSTAMP:20190219T195254Z
CREATED:20190219T195254Z
LAST-MODIFIED:20190219T195254Z
UID:10006171-1550847600-1550851200@seasevents.nmsdev7.com
SUMMARY:PRiML Seminar: "Optimizing probability distributions for learning: sampling meets optimization"
DESCRIPTION:Optimization and sampling are both of central importance in large-scale machine learning problems\, but they are typically viewed as very different problems. This talk presents recent results that exploit the interplay between them. Viewing Markov chain Monte Carlo sampling algorithms as performing an optimization over the space of probability distributions\, we demonstrate analogs of Nesterov’s acceleration approach in the sampling domain\, in the form of a discretization of an underdamped Langevin diffusion. In the other direction\, we view stochastic gradient optimization methods\, such as those that are common in deep learning\, as sampling algorithms\, and study the finite-time convergence of their iterates to an invariant distribution.
URL:https://seasevents.nmsdev7.com/event/priml-seminar-optimizing-probability-distributions-for-learning-sampling-meets-optimization/
LOCATION:Room 401B\, 3401 Walnut\, 3401 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:20190222T110000
DTEND;TZID=America/New_York:20190222T120000
DTSTAMP:20190206T211719Z
CREATED:20190206T211719Z
LAST-MODIFIED:20190206T211719Z
UID:10006153-1550833200-1550836800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Towards Generalization and Efficiency in Reinforcement Learning"
DESCRIPTION:Abstract: \n\nIn classic supervised machine learning\, a learning agent behaves as a passive observer: it receives examples from some external environment which it has no control over and then makes predictions. Reinforcement Learning (RL)\, on the other hand\, is fundamentally interactive : an autonomous agent must learn how to behave in an unknown and possibly hostile environment\, by actively interacting with the environment to collect useful feedback. One central challenge in RL is how to explore an unknown environment and collect useful feedback efficiently. In recent practical RL success stories\, we notice that most of them rely on random exploration which requires large a number of interactions with the environment before it can learn anything useful.  The theoretical RL literature has developed more sophisticated algorithms for efficient learning\, however\, the sample complexity of these algorithms has to scale exponentially with respect to key parameters of underlying systems such as the dimensionality of state vector\, which prohibits a direct application of these theoretically elegant RL algorithms to large-scale applications. Without any further assumptions\, RL is hard\, both in practice and in theory.\n  \nIn this work\, we improve generalization and efficiency on RL problems by introducing  extra sources of help and additional assumptions. The first contribution of this work comes from improving RL sample efficiency via Imitation Learning (IL). Imitation Learning reduces policy improvement to classic supervised learning. We study in both theory and in practice how one can imitate experts to reduce sample complexity compared to RL approaches. The second contribution of this work comes from exploiting the underlying structures of the RL problems via model-based learning approaches.  While there exist efficient model-based RL approaches specialized for specific RL problems (e.g.\, tabular MDPs\, Linear Quadratic Systems)\, we develop a unified model-based algorithm that generalizes a large number of RL problems that were often studied independently in the literature. We also revisit the long standing debate on whether model-based RL is more efficient than model-free RL from a theoretical perspective\, and demonstrate that model-based RL can be exponentially more sample efficient than model-free ones\, which to the best of our knowledge\, is the first that separates model-based and model-free general approaches.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-towards-generalization-and-efficiency-in-reinforcement-learning/
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:20190221T150000
DTEND;TZID=America/New_York:20190221T160000
DTSTAMP:20190212T142113Z
CREATED:20190212T142113Z
LAST-MODIFIED:20190212T142113Z
UID:10006157-1550761200-1550764800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Cataloging the Visible Universe through Bayesian Inference at Petascale"
DESCRIPTION:Abstract: \nA key task in astronomy is to locate astronomical objects in images and to characterize them according to physical parameters such as brightness\, color\, and morphology. This task\, known as cataloging\, is challenging for several reasons: many astronomical objects are much dimmer than the sky background\, labeled data is generally unavailable\, overlapping astronomical objects must be resolved collectively\, and the datasets are enormous — terabytes now\, petabytes soon. Existing approaches to cataloging are largely based on algorithmic software pipelines. In this talk\, I present a new approach to cataloging based on inference in a fully specified probabilistic model. I consider two inference procedures: one based on variational inference (VI) and another based on MCMC. A distributed implementation of VI\, written in Julia and run on a supercomputer\, achieves petascale performance — a first for any high-productivity programming language. The run is the largest-scale application of Bayesian inference reported to date. In an extension\, using new ideas from variational autoencoders and deep learning\, I avoid many of the traditional disadvantages of VI relative to MCMC\, and improve model fit
URL:https://seasevents.nmsdev7.com/event/cis-seminar-cataloging-the-visible-universe-through-bayesian-inference-at-petascale/
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:20190221T110000
DTEND;TZID=America/New_York:20190221T120000
DTSTAMP:20190208T230317Z
CREATED:20190208T230317Z
LAST-MODIFIED:20190208T230317Z
UID:10006155-1550746800-1550750400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Physics-Driven Sensing and Processing: From Computational Periscopy to Particle Beam Microscopy"
DESCRIPTION:In many areas of science and engineering\, novel signal acquisition methods allow unprecedented access to physical measurements. From digital cameras to microscopes and nano-scale biosensors\, the data generated are shaped by both the underlying physics of the phenomena and characteristics of the acquisition device. Meanwhile\, in many practical scenarios\, the useful signals are remarkably weak\, the measurements sparse\, or even the acquisition process itself may damage the observed sample. These realities therefore necessitate the development of techniques that combine signal processing with physics-driven modelling to transcend current capabilities and enable\, for instance: imaging of hidden scenes (or computational periscopy)\, the algebraic inversion of physical fields\, and the reduction of sample damage in particle beam microscopy.\nThis concept of combining physics with signal processing will be the main theme of my talk. First\, I will show that computational periscopy with ordinary digital cameras can be made possible by judiciously exploiting the physics of light transport to analyze subtle shadows\, in a photograph of a visible surface. Second\, I will briefly present an algebraic inversion method for fields constrained by partial differential equations and highlight its application to load-balancing in processors. Finally\, by developing a detailed model and analysis for particle beam microscopy\, I will show how introducing time-resolution into the acquisition process can significantly reduce beam dose\, and sample damage\, without compromising on imaging quality.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-physics-driven-sensing-and-processing-from-computational-periscopy-to-particle-beam-microscopy/
LOCATION:Room 337\, Towne Building\, 220 South 33rd 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:20190221T104500
DTEND;TZID=America/New_York:20190221T114500
DTSTAMP:20190215T211713Z
CREATED:20190215T211713Z
LAST-MODIFIED:20190215T211713Z
UID:10006169-1550745900-1550749500@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: "Atom-Scale Engineering using 2D Materials"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-atom-scale-engineering-using-2d-materials/
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:20190220T150000
DTEND;TZID=America/New_York:20190220T160000
DTSTAMP:20190204T143801Z
CREATED:20190204T143801Z
LAST-MODIFIED:20190204T143801Z
UID:10006147-1550674800-1550678400@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "C4E – Computational Chemistry of Compounds for Catalysis and Energy"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-tba/
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:20190219T110000
DTEND;TZID=America/New_York:20190219T120000
DTSTAMP:20190128T164807Z
CREATED:20190128T164807Z
LAST-MODIFIED:20190128T164807Z
UID:10006143-1550574000-1550577600@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Hybrid Quantum Networks: Interfacing Photons\, Phonons\, and Superconducting Qubits"
DESCRIPTION:Quantum information science strives to utilize the fundamental laws of physics to achieve revolutionary improvement in computation\, communication\, and sensing. Existing quantum protocols rely on a wide variety of physical platforms for storing\, transferring\, and processing of quantum information. Optical photons are the ideal carriers of information because of their low loss\, large bandwidth of transmission\, and resilience to thermal noise. However\, the task of processing quantum information is exceedingly difficult to achieve in the optical domain because of the weakness of optical nonlinearities. Alternatively\, superconducting quantum circuits provide a scalable means of storing and processing quantum information in the microwave regime but lack a mechanism for long-range information transfer. \nHybrid quantum networks promise to combine such essential functionalities in a system where superconducting processing nodes are joined via optical communication links. An integral element in this architecture is a quantum interconnect capable of interfacing the electrical and optical components across an immense frequency gap. I provide a summary of my past and current research on optical and microwave quantum systems and outline my future research directions\, which aim to develop nano-engineered devices for entangling superconducting qubits with telecom-band optical photons and long-lived phonons.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-hybrid-quantum-networks-interfacing-photons-phonons-and-superconducting-qubits/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190219T104500
DTEND;TZID=America/New_York:20190219T114500
DTSTAMP:20190215T211443Z
CREATED:20190215T211443Z
LAST-MODIFIED:20190215T211443Z
UID:10006168-1550573100-1550576700@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: “Tuning Nanoscale Materials Using the Local Environment”
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-tuning-nanoscale-materials-using-the-local-environment/
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:20190215T110000
DTEND;TZID=America/New_York:20190215T120000
DTSTAMP:20190211T202441Z
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190215T093000
DTEND;TZID=America/New_York:20190215T103000
DTSTAMP:20190208T153245Z
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:20190214T150000
DTEND;TZID=America/New_York:20190214T160000
DTSTAMP:20190211T202016Z
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:20190214T104500
DTEND;TZID=America/New_York:20190214T114500
DTSTAMP:20190206T205803Z
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:20190213T150000
DTEND;TZID=America/New_York:20190213T160000
DTSTAMP:20190204T142932Z
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:20190213T150000
DTEND;TZID=America/New_York:20190213T160000
DTSTAMP:20190110T201738Z
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:20190212T150000
DTEND;TZID=America/New_York:20190212T160000
DTSTAMP:20190201T192545Z
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:20190212T104500
DTEND;TZID=America/New_York:20190212T114500
DTSTAMP:20190110T201544Z
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:20190208T110000
DTEND;TZID=America/New_York:20190208T120000
DTSTAMP:20190204T145129Z
CREATED:20190204T145129Z
LAST-MODIFIED:20190204T145129Z
UID:10006148-1549623600-1549627200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Local Geometric Spectral Data Analysis"
DESCRIPTION:Modern technological developments have enabled the acquisition and storage of increasingly large-scale\, high-resolution\, and high-dimensional data in many fields. Yet in domains such as biomedical data\, the complexity of these datasets and the unavailability of ground truth pose significant challenges for data analysis and modeling. In this talk\, I present new unsupervised geometric approaches for extracting structure from large-scale high-dimensional data. By looking deep within the spectrum of the graph-Laplacian\, we define a new robust measure\, the Spectral Embedding Norm\, to separate clusters from background\, and demonstrate its application to both outlier detection and data visualization. This measure further motivates a new greedy clustering approach based on Local Spectral Viewpoints for identifying high-dimensional overlapping clusters while disregarding noisy clutter. We demonstrate our approach on two-photon calcium imaging data\, successfully extracting hundreds of individual cells. Finally\, to address the computational complexity of applying spectral approaches to large-scale data\, we present a new randomized near-neighbor graph construction. Compared to the traditional k-nearest neighbor graph\, using our near-neighbor graph for spectral clustering on datasets of a few million points is two orders of magnitude faster\, while achieving similar clustering accuracy. \nJoint work with Ronald Coifman\, Jackie Schiller\, Maria Lavzin\, Xiuyuan Cheng\, George Linderman\, Ariel Jaffe\, Yuval Kluger and Stefan Steinerberger.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-local-geometric-spectral-data-analysis-2/
LOCATION:Berger Auditorium (Room 13)\, Skirkanich Hall\, 210 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190207T110000
DTEND;TZID=America/New_York:20190207T120000
DTSTAMP:20190110T200124Z
CREATED:20190110T200124Z
LAST-MODIFIED:20190110T200124Z
UID:10006124-1549537200-1549540800@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Liquid Silicon: A New Computing Paradigm Enabled by Monolithic 3D Cross-Point Memory"
DESCRIPTION:Almost every subfield of electrical engineering and computer science are undergoing disruptive times. With Moore’s Law coming to an end\, an expanded roadmap for semiconductors beyond traditional CMOS scaling becomes unclear. At the other end\, traditional application software development is being replaced by emerging machine learning techniques whose success will\, in turn\, rely on the availability of powerful\, efficient and flexible computer systems. Due to these emerging applications\, architecture is transitioning from mainstream CPU to heterogeneous and diverse options such as GPU\, TPU\, etc. The confluence of these key trends has created a wide efficiency gap\, due to the mismatch between emerging application requirements and the relatively slow evolutionary improvements in existing CMOS-based computer hardware. \nTo close the gap\, in this talk\, I will present a reconfigurable memory-oriented computing fabric\, namely Liquid Silicon (L-Si) by leveraging the monolithic 3D stacking capability of RRAM. L-Si addresses several key fundamental limitations of state-of-the-art reconfigurable architectures including FPGA\, etc. in supporting emerging data-/search-intensive applications (e.g.\, machine learning and neural networks) through a series of innovations. It\, for the first time\, extends the configuration capabilities of existing reconfigurable architectures (FPGA\, CGRA) from computation to the whole spectrum\, from full memory to full computation\, or intermediate states in between (partial memory and partial computation). Thus\, it allows users more flexibility in customizing hardware to better match an application’s characteristics\, for higher performance and energy efficiency. The talk will consist of four parts\, technology\, architecture\, compiler tool\, and algorithm\, with a combined EE and CS flavor.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-liquid-silicon-a-new-computing-paradigm-enabled-by-monolithic-3d-cross-point-memory/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190207T104500
DTEND;TZID=America/New_York:20190207T114500
DTSTAMP:20190201T160414Z
CREATED:20190201T160414Z
LAST-MODIFIED:20190201T160414Z
UID:10006144-1549536300-1549539900@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: "Energy storage and neuromorphic computing using electrochemical ion insertion"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-energy-storage-and-neuromorphic-computing-using-electrochemical-ion-insertion/
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:20190206T150000
DTEND;TZID=America/New_York:20190206T160000
DTSTAMP:20190110T195801Z
CREATED:20190110T195801Z
LAST-MODIFIED:20190110T195801Z
UID:10006123-1549465200-1549468800@seasevents.nmsdev7.com
SUMMARY:CBE Faculty Candidate Seminar: "Novel Electrolyte Design to Control Electrochemistry in Energy Storage Systems"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-novel-electrolyte-design-to-control-electrochemistry-in-energy-storage-systems/
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:20190205T104500
DTEND;TZID=America/New_York:20190205T114500
DTSTAMP:20190124T124157Z
CREATED:20190124T124157Z
LAST-MODIFIED:20190124T124157Z
UID:10006142-1549363500-1549367100@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: "Disorder and Superconductivity in 2D TMD Heterostructures"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-disorder-and-superconductivity-in-2d-tmd-heterostructures/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Faculty
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190205T104500
DTEND;TZID=America/New_York:20190205T114500
DTSTAMP:20190117T132940Z
CREATED:20190117T132940Z
LAST-MODIFIED:20190117T132940Z
UID:10006139-1549363500-1549367100@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Hairy Hydrodynamics"
DESCRIPTION:Flexible slender structures in flow are everywhere. While a great deal is known about individual flexible fibers interacting with fluids\, considerably less work has been done on fiber ensembles — such as fur or hair — in flow. These hairy surfaces are abundant in nature and perform multiple functions from thermal regulation to water harvesting to sensing. Motivated by these biological systems\, we consider several examples of hairy surfaces interacting with flow including drinking bats and diving sea otters. In the first example we consider viscous dipping\, a feeding method utilized by many nectar drinking animals. This mechanism is reminiscent of Landau-Levich-Derjaguin (LLD) dip coating\, and has been analyzed through the LLD framework in previous studies. However\, many viscous dippers have hairy structures on their tongues that enhance fluid uptake. In this study\, we investigate the impact of mesoscale hairy structures on feeding efficiency. In the second example\, we take inspiration from semi-aquatic mammals (such as fur seals\, otters\, and beavers) which have specially adapted fur that serves as an effective insulator both above and below water. Many of these animals have evolved pelts that naturally entrap air when they dive. Here we investigate diving conditions and fur properties which amplify air entrainment.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-hairy-hydrodynamics/
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:20190131T150000
DTEND;TZID=America/New_York:20190131T160000
DTSTAMP:20190115T155641Z
CREATED:20190115T155641Z
LAST-MODIFIED:20190115T155641Z
UID:10006138-1548946800-1548950400@seasevents.nmsdev7.com
SUMMARY:SEAS Lecturers' Seminar on Teaching and Learning:  "The Process of Becoming:  Identity in Engineering Education"
DESCRIPTION:Identity is an enduring and continuous sense of who one is and is often thought of as the answer to the questions\, “Who am I\, Who can I be\, and Where do I belong?” Research shows that developing a robust engineering identity is important for academic and personal development\, integration into engineering\, and retention within engineering programs. Identity plays animportant role in the ways students see themselves and are recognized or positioned by others as the kind of people who can or cannot become an engineer. This positioning can exclude women\, minorities\, and first-generation college students who may have more difficulty adopting engineering identities in a culture that often does not position them as engineers. This talk will explore the current research on engineering identity and provide actionable ways for faculty to support students’ processes of becoming engineers.
URL:https://seasevents.nmsdev7.com/event/seas-lecturers-seminar-on-teaching-and-learning-the-process-of-becoming-identity-in-engineering-education/
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:20190129T150000
DTEND;TZID=America/New_York:20190129T160000
DTSTAMP:20190110T181740Z
CREATED:20190110T181740Z
LAST-MODIFIED:20190110T181740Z
UID:10006120-1548774000-1548777600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Made to Order: Verifying Correctness and Security of Hardware through Event Orderings"
DESCRIPTION:Correctness and security problems in modern computer systems can result from problematic hardware event orderings and interleavings during an application’s execution. Since hardware designs are complex and since a single user-facing instruction can exhibit a variety of different hardware execution sequences\, analyzing and verifying systems for correct event orderings is challenging. My work addresses these challenges by combining hardware architecture and systems approaches with formal methods to support the specification\, analysis\, and verification of implementation-aware event ordering scenarios\, with the specific goal of automatically synthesizing implementation-aware programs capable of violating correctness or security guarantees. In this talk\, I will present two formal\, early-stage verification tools and techniques rooted in this approach. TriCheck conducts axiomatic full-stack memory consistency model (MCM) verification (from high-level programming languages down through hardware implementations). Using rigorous and efficient formal approaches\, TriCheck identified flaws in RISC-V’s draft MCM specification and two counterexamples to a previously proven-correct compiler mapping scheme from C11 to IBM Power and ARMv7. Noting that MCM and security analysis are amenable to similar approaches\, CheckMate uses related axiomatic techniques to evaluate susceptibility of a hardware design and its related system support to formally-specified classes of security exploits; in response\, it synthesizes proof-of-concept exploit code when a design is susceptible. CheckMate automatically synthesized programs representative of Meltdown and Spectre attacks as well as new exploits\, MeltdownPrime and SpectrePrime\, that I have demonstrated on Intel hardware.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-made-to-order-verifying-correctness-and-security-of-hardware-through-event-orderings/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 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:20190129T104500
DTEND;TZID=America/New_York:20190129T114500
DTSTAMP:20190108T213705Z
CREATED:20190108T213705Z
LAST-MODIFIED:20190108T213705Z
UID:10006118-1548758700-1548762300@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Elastomeric Materials for Autonomic Force Transmission\, Optoelectric Sensing\, and 3D Printing Soft Robots"
DESCRIPTION:This talk will present multidisciplinary work from material composites and robotics. We have created new types of actuators\, sensors\, displays\, and additive manufacturing techniques for soft robots and haptic interfaces. For example\, we now use stretchable optical waveguides as sensors for high accuracy\, repeatability\, and material compatibility with soft actuators. For displaying information\, we have created stretchable\, elastomeric light emitting displays as well as texture morphing skins for soft robots. We have created a new type of soft actuator based on molding of foams\, and stereolithography printing of elastomer based soft robots\, and implemented deep learning in stretchable membranes for interpreting touch. All of these technologies depend on the iterative and complex feedback between material and mechanical design. I will describe this process\, what is the present state of the art\, and future opportunities for science in the space of additive manufacturing of elastomeric robots.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-elastomeric-materials-for-autonomic-force-transmission-optoelectric-sensing-and-3d-printing-soft-robots/
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:20190125T110000
DTEND;TZID=America/New_York:20190125T120000
DTSTAMP:20190123T203842Z
CREATED:20190123T203842Z
LAST-MODIFIED:20190123T203842Z
UID:10006141-1548414000-1548417600@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Hardware Acceleration in the World of Emerging Applications"
DESCRIPTION:Abstract: Semiconductor technology scaling coming to a screeching halt\, coupled with the explosion of data in almost every facet of our lives\, makes processing large volumes of data efficiently a critical problem to solve. In this talk\, I will highlight three main challenges in designing accelerators and demonstrate that domain-specific hardware acceleration and specialization can provide orders of magnitude in compute efficiency for emerging applications. I will introduce the concept of datatype acceleration\, where hardware primitives are designed to directly operate on already-defined software data structures and data containers\, and show that specializing both the compute and memory subsystem provides orders of magnitude improvements in performance and energy efficiencies. Creating specialized encapsulated data accesses and datapaths allows us to mitigate unnecessary data movement\, take advantage of traditional optimization techniques such as data and pipeline parallelism\, and consequently provide substantial energy savings while obtaining significant performance gains. As case studies for three emerging application domains\, I will briefly touch on accelerating database and graph analytics while offering in-depth examples in accelerating genomic analytics on the AWS EC2 F1 instances. As a vision for future hardware acceleration research\, I will demonstrate how to create an ecosystem that makes designing\, deploying\, and using custom hardware almost as easy as writing and using software.
URL:https://seasevents.nmsdev7.com/event/hardware-acceleration-in-the-world-of-emerging-applications/
LOCATION:Berger Auditorium (Room 13)\, Skirkanich Hall\, 210 South 33rd 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:20190125T110000
DTEND;TZID=America/New_York:20190125T120000
DTSTAMP:20190110T183238Z
CREATED:20190110T183238Z
LAST-MODIFIED:20190110T183238Z
UID:10006122-1548414000-1548417600@seasevents.nmsdev7.com
SUMMARY:MEAM/GRASP Seminar: "Geometric Biologically Inspired Robots that Span Industries from Medical to Manufacturing"
DESCRIPTION:The animal kingdom is full of both human and non-human animals worthy of investigation\, emulation and re-creation. As such\, my research group has created a comprehensive research program focusing on biologically-inspired robots\, and has applied them to search and rescue\, minimally invasive surgery\, and manufacturing. These robots inspire great scientific challenges in mechanism design\, control\, planning and estimation theory. These research topics are important because once the robot is built (design)\, it must decide where to go (path planning)\, determine how to get there (control)\, and use feedback to close the loop (estimation). A common theme to these research foci is devising ways by which we can reduce multi-dimensional problems to low dimensional ones for planning\, analysis\, and optimization. In this talk\, I will discuss our results in geometric mechanics\, Bayesian filtering\, and scalable multi-agent planning to support these reductions. This talk will also cover how my students and I commercialized these technologies by founding three companies: Medrobotics\, Hebi Robotics\, and Bito Robotics. In 2015\, the surgical snake robot from Medrobotics cleared the FDA and has begun to democratize the delivery of medical care in the US and Europe If time permits\, I will also discuss my educational activities\, especially at the undergraduate level\, with a course using LEGO robots\, and the role of entrepreneurism in University education.
URL:https://seasevents.nmsdev7.com/event/meam-grasp-seminar-geometric-biologically-inspired-robots-that-span-industries-from-medical-to-manufacturing/
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:20190124T150000
DTEND;TZID=America/New_York:20190124T163000
DTSTAMP:20190108T213146Z
CREATED:20190108T213146Z
LAST-MODIFIED:20190108T213146Z
UID:10006117-1548342000-1548347400@seasevents.nmsdev7.com
SUMMARY:The Jack Keil Wolf Lecture in Electrical and Systems Engineering: "The Invention of High Efficient Blue LEDs and Future Solid State Lighting"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/the-jack-keil-wolf-lecture-in-electrical-and-systems-engineering-the-invention-of-high-efficient-blue-leds-and-future-solid-state-lighting/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Distinguished Lecture
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
END:VCALENDAR