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DTSTART;TZID=America/New_York:20200325T133000
DTEND;TZID=America/New_York:20200325T143000
DTSTAMP:20260407T192323
CREATED:20200221T170859Z
LAST-MODIFIED:20200221T170859Z
UID:10006417-1585143000-1585146600@seasevents.nmsdev7.com
SUMMARY:Cancelled CIS Seminar:" Harnessing the Power of People: Human-AI Interaction Design in Healthcare\, Language\, and Beyond"
DESCRIPTION:Abstract: \nSome claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from an HCI perspective: How can we situate this remarkable technology in ways people perceive as valuable? How could we form a symbiotic relationship between AI systems and their users\, to do things neither can do on their own? \nIn this talk\, I will discuss a number of research projects that systematically investigate these questions. Projects include the designs of clinical decision-support systems that can effectively collaborate with doctors in making life-and-death decisions and an investigation of how Natural Language Generation systems might seamlessly serve authors’ communicative intent. Each project engages stakeholders in their real-world contexts and addresses a critical challenge in transitioning AI from the research lab to the real world. \nBased upon this body of work and my studies of industry practice\, I propose a framework laying out the problem space of human-AI interaction design. I discuss our early work and the strategic potential in supporting effective collaboration between HCI and AI expertise.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-harnessing-the-power-of-people-human-ai-interaction-design-in-healthcare-language-and-beyond-2/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200325T133000
DTEND;TZID=America/New_York:20200325T143000
DTSTAMP:20260407T192323
CREATED:20200220T194614Z
LAST-MODIFIED:20200220T194614Z
UID:10006416-1585143000-1585146600@seasevents.nmsdev7.com
SUMMARY:Cancelled: CIS Seminar: "Harnessing the Power of People: Human-AI Interaction Design in Healthcare\, Language\, and Beyond"
DESCRIPTION:Abstract: \nSome claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from an HCI perspective: How can we situate this remarkable technology in ways people perceive as valuable? How could we form a symbiotic relationship between AI systems and their users\, to do things neither can do on their own? \nIn this talk\, I will discuss a number of research projects that systematically investigate these questions. Projects include the designs of clinical decision-support systems that can effectively collaborate with doctors in making life-and-death decisions and an investigation of how Natural Language Generation systems might seamlessly serve authors’ communicative intent. Each project engages stakeholders in their real-world contexts and addresses a critical challenge in transitioning AI from the research lab to the real world. \nBased upon this body of work and my studies of industry practice\, I propose a framework laying out the problem space of human-AI interaction design. I discuss our early work and the strategic potential in supporting effective collaboration between HCI and AI expertise.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-harnessing-the-power-of-people-human-ai-interaction-design-in-healthcare-language-and-beyond/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200325T120000
DTEND;TZID=America/New_York:20200325T133000
DTSTAMP:20260407T192323
CREATED:20200226T145428Z
LAST-MODIFIED:20200226T145428Z
UID:10006421-1585137600-1585143000@seasevents.nmsdev7.com
SUMMARY:CANCELLED: Sustaining Women's Progress in STEM: Students\, Staff & Faculty Share Voices
DESCRIPTION:  \n\n\n\nUnfortunately\, due to protocols surrounding the coronavirus (COVID-19)\, this event has been cancelled. We hope to see it rescheduled for the fall. Please contact Rashmi Kumar (rashmik@upenn.edu) with any questions. \n 
URL:https://seasevents.nmsdev7.com/event/sustaining-womens-progress-in-stem-students-staff-faculty-share-voices/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200324T150000
DTEND;TZID=America/New_York:20200324T160000
DTSTAMP:20260407T192323
CREATED:20200221T171126Z
LAST-MODIFIED:20200221T171126Z
UID:10006418-1585062000-1585065600@seasevents.nmsdev7.com
SUMMARY:Cancelled: CIS Seminar:"New Compilation Techniques for Reconfigurable Analog Devices"
DESCRIPTION:Abstract:\n\n\nReconfigurable analog devices are a powerful new computing substrate especially appropriate for executing dynamical systems in an energy efficient manner. These devices leverage the physical behavior of transistors to directly implement computation. Under this paradigm\, voltages and currents within the device implement continuously evolving variables in the computation.\n\nIn this talk\, I discuss compilation techniques for automatically configuring such devices to execute dynamical systems. I present Legno\, the first compilation system that automatically targets a real reconfigurable analog device of this class. Legno synthesizes analog circuits from parametric and specialized analog blocks and accounts for analog noise\, quantization error\, operating range limitations\, and manufacturing variations within the device. I evaluate Legno on applications from the biology\, physics\, and controls domains. The results demonstrate that these applications execute with acceptable error while consuming microjoules of energy.
URL:https://seasevents.nmsdev7.com/event/cis-seminarnew-compilation-techniques-for-reconfigurable-analog-devices/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200323T120000
DTEND;TZID=America/New_York:20200323T130000
DTSTAMP:20260407T192323
CREATED:20200109T172740Z
LAST-MODIFIED:20200109T172740Z
UID:10006371-1584964800-1584968400@seasevents.nmsdev7.com
SUMMARY:PSOC Seminar Cancelled: 'Visualizing Cancer Biology: From Single molecules to Systems'
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/psoc-seminar-visualizing-cancer-biology-from-single-molecules-to-systems/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200320T140000
DTEND;TZID=America/New_York:20200320T150000
DTSTAMP:20260407T192323
CREATED:20191118T172045Z
LAST-MODIFIED:20191118T172045Z
UID:10006338-1584712800-1584716400@seasevents.nmsdev7.com
SUMMARY:Cancelled: PICS Seminar - Dr. Ivan Bermejo-Moreno of the University of Southern California\, Viterbi School of Engineering
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/pics-seminar-with-dr-ivan-bermejo-moreno-of-usc-viterbi-school-of-engineering/
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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200319T150000
DTEND;TZID=America/New_York:20200319T160000
DTSTAMP:20260407T192323
CREATED:20200220T192914Z
LAST-MODIFIED:20200220T192914Z
UID:10006415-1584630000-1584633600@seasevents.nmsdev7.com
SUMMARY:Cancelled: CIS Seminar: "Deep Probabilistic Graphical Modeling"
DESCRIPTION:Abstract: \nDeep learning (DL) is a powerful approach to modeling complex and large scale data. However\, DL models lack interpretable quantities and calibrated uncertainty. In contrast\, probabilistic graphical modeling (PGM) provides a framework for formulating an interpretable generative process of data and a way to express uncertainty about what we do not know. How can we develop machine learning methods that bring together the expressivity of DL with the interpretability and calibration of PGM to build flexible models endowed with an interpretable latent structure that can be fit efficiently? I call this line of research deep probabilistic graphical modeling (DPGM). In this talk\, I will discuss my work on developing DPGM for text data. In particular\, I will show how DPGM enables flexible and interpretable topic modeling at large scale\, unlocking several known challenges. Furthermore\, I will describe how we can account for both local and long-range context\, under the DPGM framework\, to build a flexible sequential document model that leads to state-of-the-art performance on a downstream document classification task.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-deep-probabilistic-graphical-modeling/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200318T013000
DTEND;TZID=America/New_York:20200318T143000
DTSTAMP:20260407T192323
CREATED:20200220T192156Z
LAST-MODIFIED:20200220T192156Z
UID:10006414-1584495000-1584541800@seasevents.nmsdev7.com
SUMMARY:Cancelled:  CIS Seminar:  "The Value Alignment Problem in Artificial Intelligence"
DESCRIPTION:Abstract: \nAbstract: Much of our success in artificial intelligence stems from the adoption of a simple paradigm: specify an objective or goal\, and then use optimization algorithms to identify a behavior (or predictor) that optimally achieves this goal. This has been true since the early days of AI (e.g.\, search algorithms such as A* that aim to find the optimal path to a goal state)\, and this paradigm is common to AI\, statistics\, control theory\, operations research\, and economics. Loosely speaking\, the field has evaluated the intelligence of an AI system by how efficiently and effectively it optimizes for its objective. This talk will provide an overview of my thesis work\, which proposes and explores the consequences of a simple\, but consequential\, shift in perspective: we should measure the intelligence of an AI system by its ability to optimize for our objectives. \n  \nIn an ideal world\, these measurements would be the same — all we have to do is write down the correct objective! This is easier said than done: misalignment between the behavior a system designer actually wants and the behavior incentivized by the reward or loss functions they specify is routine\, it is commonly observed in a wide variety of practical applications\, and fundamental\, as a consequence of limited human cognitive capacity. This talk will build up a formal model of this value alignment problem as a cooperative human-robot interaction: an assistance game of partial information between a human principal and an autonomous agent. It will begin with a discussion of a simple instantiation of this game where the human designer takes one action\, write down a proxy objective\, and the robot attempts to optimize for the true objective by treating the observed proxy as evidence about the intended goal. Next\, I will generalize this model to introduce Cooperative Inverse Reinforcement Learning\, a general and formal model of this assistance game\, and discuss the design of efficient algorithms to solve it. The talk will conclude with a discussion of directions for further research including applications to content recommendation and home robotics\, the development of reliable and robust design environments for AI objectives\, and the theoretical study of AI regulation by society as a value alignment problem with multiple human principals.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-the-value-alignment-problem-in-artificial-intelligence/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200317T103000
DTEND;TZID=America/New_York:20200317T120000
DTSTAMP:20260407T192323
CREATED:20200225T212258Z
LAST-MODIFIED:20200225T212258Z
UID:10006419-1584441000-1584446400@seasevents.nmsdev7.com
SUMMARY:CANCELLED: MEAM Seminar: "Wind Farm Dynamics and Power Optimization in Realistic Atmospheric Boundary Layer Conditions"
DESCRIPTION:The study of wind farms within realistic atmospheric boundary layer conditions is critical to understand the governing physics of the system and to design optimal operational protocols. Historically\, control protocols have optimized performance of individual wind turbines resulting in aerodynamic wakes which typically reduce total wind farm power production 10-20% and increase the cost of electricity for this resource. Considering the wind farm as a collective\, we designed a physics- and data-driven wake steering control method to increase the power production of wind farms. The method was tested in a multi-turbine array at a utility-scale operational wind farm\, where it statistically significantly increased the power production over standard operation. The analytic gradient-based wind farm power optimization methodology we developed can optimize the yaw misalignment angles for large wind farms on the order of seconds\, enabling online real-time control. In order to rapidly design and improve dynamic closed-loop wind farm controllers\, we developed wind farm large eddy simulation capabilities that incorporate Coriolis and stratification effects. The traditional approximation made in typical simulations assumes that the horizontal component of Earth’s rotation is negligible in the atmospheric boundary layer. When including the horizontal component of Earth’s rotation\, the boundary layer and wind farm physics are a function of the geostrophic wind direction. The influence of the geostrophic wind direction on a wind farm atmospheric boundary layer was characterized using conventionally neutral and stable boundary layer simulations. Dynamic wake steering controllers are tested in simulations and\, altogether\, the results indicate that closed-loop wake steering control can significantly increase wind farm power production over greedy operation provided that site-specific wind farm data is assimilated into the optimal control model.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-wind-farm-dynamics-and-power-optimization-in-realistic-atmospheric-boundary-layer-conditions/
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:20200310T103000
DTEND;TZID=America/New_York:20200310T120000
DTSTAMP:20260407T192323
CREATED:20200302T172906Z
LAST-MODIFIED:20200302T172906Z
UID:10006423-1583836200-1583841600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Scalable Algorithms for the Computational Modeling of Complex Multi-Physics Systems"
DESCRIPTION:The computational modeling of complex multi-physics problems often requires specialized approaches in the formulation\, implementation\, and deployment of algorithms that lie outside the scope of conventional practice in physics-based modeling and simulation. In this talk I will present three examples of problems in which the synergistic combination of advanced algorithms\, and state-of-the-art software implementations on hybrid hardware platforms can furnish computational frameworks with the ability to describe the complex physics involved. In each case\, the resulting simulations provide unique physical insights that would be otherwise unattainable\, thus enabling analyses of engineering significance. \nThe first example is concerned with the computational modeling of fluid-driven fracture propagation\, which is mired with major difficulties stemming from the strong nonlinearities in the fluid-solid coupling\, in addition to those associated with crack propagation\, and from the a priori unknown and potentially intricate 3D crack paths that may arise. I will show that the adoption of a discontinuous Galerkin finite element formulation for the solid\, combined with a sound cohesive zone model for crack propagation and a continuous formulation for the lubrication flow inside the propagating cracks\, results in a robust and scalable solution scheme\, which properly exposes the nonlinearities in the coupling\, thus preserving the parabolic nature of the coupled system. The proposed framework matches well-established analytical solutions of pressurized cracks in simple configurations both in the toughness and viscosity-dominated regimes\, and enables simulations of general crack configurations in 3D with unprecedented resolution for problem of this type. \nThe second example involves the modeling of elastic instabilities emerging in the large-deformation response of nearly incompressible soft materials\, where the non-convexity of the strain energy density leads to the coexistence of multiple equilibrium paths with vastly different\, sinuous deformation patterns. I will show that the numerical challenges involved can be overcome by an enhanced finite element solution space with higher order polynomials\, an arc-length-based nonlinear solution procedure which gives access to the entire equilibrium path\, and an implementation enabling parallel\, large-scale simulations. I will show that the robustness of the path-following solution procedure enables complete access to the multiplicity of solutions emerging after bifurcation\, to the complex non-monotonic evolution of the deformation patterns and of the stress-strain response\, as well as to the settled post-bifurcation states. \nTime permitting\, I will discuss the dynamics of multiple flexible fibers immersed in viscous flows. The very large deformations that the fibers experience\, especially in case of extreme aspect ratios\, make the fiber-fiber and fiber-flow interactions extraordinarily complex. Moreover\, the nonlocal character of these interactions results in dense linear systems and\, in turn\, in severe constraints to the problem size. I will present a computational model based on a general 3D beam formulation coupled with a boundary element Stokeslet discretization of the flow. The proposed computational framework takes advantage of the massive parallelization offered by GPU clusters\, and enables simulations of hundreds and\, possibly\, thousands of filaments.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-scalable-algorithms-for-the-computational-modeling-of-complex-multi-physics-systems/
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:20200306T110000
DTEND;TZID=America/New_York:20200306T120000
DTSTAMP:20260407T192323
CREATED:20200207T172144Z
LAST-MODIFIED:20200207T172144Z
UID:10006404-1583492400-1583496000@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Integrated Optical Phased Arrays: LiDAR\, Augmented Reality\, and Beyond"
DESCRIPTION:Abstract\nBy enabling optical microsystems with new functionalities\, improved system performance\, and reduced size\, weight\, and power\, integrated photonics is positioned to enable next-generation optical technologies that facilitate revolutionary advances for numerous fields spanning science and engineering\, including computing\, sensing\, communications\, displays\, quantum\, and biology. \nAn emerging class of integrated photonic systems is integrated optical phased arrays\, which enable manipulation and dynamic control of free-space light in a compact form factor\, at low costs\, and in a non-mechanical way. As such\, integrated optical phased arrays have emerged as a promising technology for many wide-reaching applications\, including light detection and ranging (LiDAR) for autonomous vehicles\, augmented-reality displays\, free-space optical communications\, and trapped-ion quantum computing. \nThis talk will present recent advances in integrated optical phased array architectures\, results\, and applications. First\, the first beam-steering optical phased arrays monolithically integrated with on-chip rare-earth-doped lasers and heterogeneously integrated with CMOS driving electronics will be shown and the first single-chip coherent integrated LiDAR results will be presented; these demonstrations are important steps towards practical commercialization of low-cost and high-performance integrated LiDAR sensors for autonomous vehicles. Next\, the first integrated optical phased arrays that focus radiated light to tightly- confined spots in the near field and that generate quasi-Bessel beams will be discussed; these near-field modalities have the potential to advance a number of application areas\, such as optical trapping for biological characterization\, trapped-ion quantum computing\, and laser-based 3D printing. Finally\, a novel transparent integrated-phased-array-based holographic display will be proposed as a highly-discreet and fully-holographic solution for the next generation of augmented-reality head-mounted displays; the first integrated passive near-eye displays that generate holograms\, the first integrated visible-light liquid crystal-based modulators\, and the first actively-tunable visible-light integrated phased arrays will be presented.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-integrated-optical-phased-arrays-lidar-augmented-reality-and-beyond/
LOCATION:Berger Auditorium (Room 13)\, Skirkanich Hall\, 210 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200305T150000
DTEND;TZID=America/New_York:20200305T160000
DTSTAMP:20260407T192323
CREATED:20200220T190835Z
LAST-MODIFIED:20200220T190835Z
UID:10006413-1583420400-1583424000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Building Data-Driven Computers: Reimagining Systems to Reduce the High Costs of Large-Scale Data Processing"
DESCRIPTION:Abstract: \nA wide range of application domains are emerging as computing platforms of all types become more ubiquitous in society.  Many of these applications are data centric\, and spend a significant fraction of their time on accessing and processing very large datasets.  Examples of these applications include graph frameworks\, precision medicine\, computer vision\, deep learning\, and mobile device workloads.  Unfortunately\, the hardware platforms executing these applications remain compute centric\, and are rooted in decades-old design principles for computer architectures.  Running modern data-centric applications on compute-centric platforms results in high inefficiencies\, with significant energy waste and program stalls.  Data-centric platforms can eliminate these inefficiencies\, but require the community to fundamentally rethink our approach to computer design. \nIn this talk\, I will present a holistic approach for developing practical data-centric architectures and systems.  I will begin by using experimental characterization to identify the sources of poor energy efficiency and poor performance in existing architectures as they run modern applications\, focusing on the impact of current memory systems.  Next\, I will show how near-data computing can mitigate these inefficiencies.  Recent breakthroughs in memory technologies have made near-data computing a practical and viable alternative to compute-centric platforms\, but several system-level challenges remain.  I will present a few of my representative efforts towards developing practical programmer and architectural support for near-data computing\, including efficient data coherence and domain-specific system design.  I will conclude the talk with my future research vision\, on developing and building full-system data-driven architectures that are optimized for energy efficiency.  This includes microarchitectural and circuit-level support for in-memory computing using emerging non-volatile memories\, cooperative hardware–software memory management\, and compiler and data optimizations that allow programmers to effortlessly target these data-driven architectures. \n 
URL:https://seasevents.nmsdev7.com/event/cis-seminar-building-data-driven-computers-reimagining-systems-to-reduce-the-high-costs-of-large-scale-data-processing/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200305T120000
DTEND;TZID=America/New_York:20200305T130000
DTSTAMP:20260407T192323
CREATED:20200109T163814Z
LAST-MODIFIED:20200109T163814Z
UID:10006367-1583409600-1583413200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Engineering Stem Cells to Create Novel Delivery Vehicles"
DESCRIPTION:Synthetic biology has transformed how cells can be reprogrammed\, providing a means to reliably and predictably control cell behavior with the assembly of genetic parts into more complex gene circuits. Using approaches and tools in synthetic biology\, we are programming stem cells with novel genetic tools to control genes and pathways that result in changes in stem cell fate decisions\, in addition to reprogramming terminally differentiated cells to function as unique therapeutic diagnostic and delivery vehicles.
URL:https://seasevents.nmsdev7.com/event/be-seminar-title-tbc-3/
LOCATION:Room 337\, Towne Building\, 220 South 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:20200305T110000
DTEND;TZID=America/New_York:20200305T120000
DTSTAMP:20260407T192323
CREATED:20200205T155655Z
LAST-MODIFIED:20200205T155655Z
UID:10006398-1583406000-1583409600@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Joint Wireless Communication and Sensing in Terahertz Spectrum"
DESCRIPTION:Abstract\nMillimeter-wave and terahertz bands are emerging as the most promising spectrum to meet the data-rate and latency demands of future wireless applications\, including virtual reality and autonomous cars. Moreover\, large spectral availability and mm-scale wavelength provide the possibility for ubiquitous and high-resolution sensing. My research builds a foundation for joint communication and sensing in such high-frequency regimes. This perspective yields a paradigm shift in the design and development of future wireless systems. In this talk\, I will present the world’s first single-shot and single-antenna motion sensing system in THz bands. We demonstrate a novel node architecture exploiting a single leaky wave antenna\, which is primarily used for beam steering in THz networks. I will show how we leverage this device’s spatial-spectral characteristics in new ways to enable motion sensing functionalities with a single THz pulse transmission. I will then discuss the opportunities offered by this platform to enhance next-generation communication in unprecedented ways. In particular\, we tackle the mobility\, blockage\, and scalability challenges of highly directional THz networks by efficiently adapting steering direction for mobile users. Finally\, I will share several research directions that I would like to pursue in the future.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-joint-wireless-communication-and-sensing-in-terahertz-spectrum/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200303T150000
DTEND;TZID=America/New_York:20200303T160000
DTSTAMP:20260407T192323
CREATED:20200219T201529Z
LAST-MODIFIED:20200219T201529Z
UID:10006412-1583247600-1583251200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Breaking and Building End-to-End Encrypted Systems"
DESCRIPTION:Abstract\n\nToday’s computer systems and their owners fail to protect data. Exacerbating this are new threats stemming from the rise of cloud computing. The consequences are dire: sensitive information like financial statements\, medical records\, and private messages are disclosed to malicious parties. In my research at the intersection of security\, cryptography\, and systems\, I work to change this by breaking and building efficient end-to-end (E2E) encrypted systems\, which protect data by keeping it encrypted throughout processing and storage. In this talk\, I’ll explain some of the flaws I’ve found in existing E2E-encrypted systems deployed to billions of users\, how the flaws have led me to a new methodology for building these systems that’s rooted in co-design of cryptography and systems\, and some of the new E2E-encrypted systems I’m building.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-breaking-and-building-end-to-end-encrypted-systems/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200303T110000
DTEND;TZID=America/New_York:20200303T120000
DTSTAMP:20260407T192323
CREATED:20200205T154508Z
LAST-MODIFIED:20200205T154508Z
UID:10006397-1583233200-1583236800@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Safe Real-World Autonomy in Uncertain and Unstructured Environments"
DESCRIPTION:Abstract  \nIn this talk I will present my current and future work towards enabling safe real-world autonomy. My core focus is to enable efficient and safe decision-making in complex autonomous systems\, while reasoning about uncertainty in real-world environments\, including those involving human interactions. \nFirst I will discuss safety for complex systems in simple environments. Traditional methods for generating safety analyses and safe controllers struggle to handle realistic complex models of autonomous systems\, and therefore are stuck with simplistic models that are less accurate. I have developed scalable techniques for theoretically sound safety guarantees that can reduce computation by orders of magnitude for high-dimensional systems\, resulting in better safety analyses and paving the way for safety in real-world autonomy. \nNext I will add in complex environments. Safety analyses depend on pre-defined assumptions that will often be wrong in practice\, as real-world systems will inevitably encounter incomplete knowledge of the environment and other agents. Reasoning efficiently and safely in unstructured environments is an area where humans excel compared to current autonomous systems. Inspired by this\, I have used models of human decision-making from cognitive science to develop algorithms that allow autonomous systems to navigate quickly and safely\, adapt to new information\, and reason over the uncertainty inherent in predicting humans and other agents. Combining these techniques brings us closer to the goal of safe real-world autonomy.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-safe-real-world-autonomy-in-uncertain-and-unstructured-environments/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200303T103000
DTEND;TZID=America/New_York:20200303T120000
DTSTAMP:20260407T192323
CREATED:20200226T145623Z
LAST-MODIFIED:20200226T145623Z
UID:10006422-1583231400-1583236800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Multiscale Interactions in Multiphase Turbulent Flows: Fundamentals to Applications"
DESCRIPTION:Recent advances in experimental measurements and numerical simulations has allowed us to discover new phenomena in multiphase turbulence (a flow regime characterized by chaotic and irregular motion in the presence of immersed surfaces/bodies). In this talk\, I will discuss some of these new discoveries and their importance both from a fundamental and an application viewpoint. I will first present our finding of a surprising fluctuation-induced force between two plates immersed in a turbulent fluid. The mechanism of force generation reveals an intriguing analogy with the quantum Casimir effect. Next\, I will discuss how multiscale interactions between immersed bodies/surfaces and a carrier turbulent fluid can lead to drag reduction in the context of Taylor-Couette flows. I will conclude by showing some recent advances in our understanding of the role of turbulence in bio-physical flows (e.g. Cardio-vascular flow).
URL:https://seasevents.nmsdev7.com/event/meam-seminar-multiscale-interactions-in-multiphase-turbulent-flows-fundamentals-to-applications/
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:20200228T140000
DTEND;TZID=America/New_York:20200228T150000
DTSTAMP:20260407T192323
CREATED:20191216T200711Z
LAST-MODIFIED:20191216T200711Z
UID:10006348-1582898400-1582902000@seasevents.nmsdev7.com
SUMMARY:PICS Seminar - Dr. Cesar de la Fuente of the University of Pennsylvania\, Perelman School of Medicine
DESCRIPTION:Abstract: \nUntil now\, the natural world has supplied us with antibiotics. Bacteria\, however\, are increasingly resistant to these drugs. The next generation of antibiotics will likely come not from nature but from computer-based discovery. Working at the forefront of this development\, I seek to harness computational power to find molecules with antibacterial activity. I use synthetic biology and computational tools to determine features contributing to this activity and train computers to find— or design— candidate molecules and tweak their structures virtually. Experimentation is reserved for validating computer predictions\, saving time\, labor\, and expense. With machine-based molecular discovery\, I explore proteins and peptides as engineering scaffolds. My approaches diversify proteins\, such as host defense peptides (HDPs)\, beyond their natural variation. For example\, to increase their antimicrobial properties\, we trained a computer to execute a fitness function that selects for structures that interact with bacterial membranes\, thereby converting several HDPs into the first artificial antimicrobials that kill bacteria both in vitro and in animals. By investigating these exciting possibilities\, I aim to build machine-made antibiotics to combat infectious diseases and develop clinical applications for autonomously generated synthetic molecules. Computer-made drugs may help to replenish our arsenal of effective drugs and outpace the evolution of antibiotic resistance.
URL:https://seasevents.nmsdev7.com/event/pics-seminar-with-dr-cesar-de-la-fuente-of-the-university-of-pennsylvania-perelman-school-of-medicine/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200227T150000
DTEND;TZID=America/New_York:20200227T160000
DTSTAMP:20260407T192323
CREATED:20200219T192722Z
LAST-MODIFIED:20200219T192722Z
UID:10006411-1582815600-1582819200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Risk-Aware Machine Learning at Scale"
DESCRIPTION:Abstract: \n\nIn recent years\, machine learning has seen rapid advances with increasingly large scale and complex data modalities\, including processing images\, natural language and more. As a result\, applications of machine learning have pervaded our lives to make them easier and more convenient. Buoyed by this success\, we are approaching an era where machine learning will be used to autonomously make increasingly risky decisions that impact the physical world and risk life\, limb\, and property. For example\, machine learning may autonomously decide when cars should brake or swerve\, how power should be allocated in smart grids\, what treatments to recommend in some medical settings and much more. \nIn this talk\, I will discuss how we can begin to understand and mitigate this risk. In particular\, I will focus on how we can combine lessons learned from the unprecedented practical success of deep learning with approaches from statistical and probabilistic machine learning to make risk aware decisions in practice and at scale. I will show how one popular probabilistic method\, Gaussian process regression\, can be made to scale without approximation to millions of training examples for complex tasks despite traditionally being limited to thousands. Finally. I will discuss a number of examples where these tools are deployed successfully in practice\, and conclude with a discussion of the most important problems and limitations I believe we have yet to face in this area.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-risk-aware-machine-learning-at-scale/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200227T120000
DTEND;TZID=America/New_York:20200227T130000
DTSTAMP:20260407T192323
CREATED:20200109T163541Z
LAST-MODIFIED:20200109T163541Z
UID:10006366-1582804800-1582808400@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Musculoskeletal Tissue Engineering"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/be-seminar-title-tbc-2/
LOCATION:Room 337\, Towne Building\, 220 South 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:20200227T110000
DTEND;TZID=America/New_York:20200227T120000
DTSTAMP:20260407T192323
CREATED:20200213T150450Z
LAST-MODIFIED:20200213T150450Z
UID:10006408-1582801200-1582804800@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Engineering Quantum Processors in Silicon"
DESCRIPTION:Abstract\nAcross the globe\, physicists in academia and industry alike are competing to be the first to build a scalable universal quantum computer. Amongst the multitudes of quantum computing architectures\, solid-state quantum processors based on spins in silicon are emerging as a strong contender. Silicon is an ideal material to host spin qubits: it supports long coherence times [1]\, has excellent prospects for scaling\, and is ubiquitous in the semiconductor industry. While semiconductor spin qubits were proposed over two decades ago [2]\, it is only within the past few years that we have learned how to fabricate and control multi-qubit devices in silicon. \nIn this seminar\, I will describe our state-of-the-art four-qubit Si/SiGe quantum dot device [3] and explain how we have overcome major barriers to realizing large-scale quantum computing in silicon. First\, I will discuss charge control and spin-state readout in the device. Then\, I will describe the use of an on-chip micromagnet to mediate electrically driven spin resonance [4-5]. Using this technique\, we achieve site-selective spin control with fidelities exceeding 99.9%. I will outline the operation of our three primitive two-qubit gates: the decoupled-CZ gate [4]\, the resonant CNOT gate [5]\, and the resonant SWAP gate [6]. Finally\, I will discuss how these advances enable the development of large-scale quantum processors capable of complex quantum information processing. \nReferences:\n[1] Tyryshkin et al.\, Nature Mat. 11\, 143 (2011)\n[2] Loss and Divincenzo\, Phys. Rev. A 57\, 120 (1998)\n[3] Sigillito et al.\, Phys. Rev. Applied 11\, 061006 (2019)\n[4] Watson et al.\, Nature 555\, 633 (2018)\n[5] Zajac\, Sigillito\, et al.\, Science 359\, 439 (2018)\n[6] Sigillito et al.\, npj Quantum Information 5\, 110 (2019)
URL:https://seasevents.nmsdev7.com/event/ese-seminar-engineering-quantum-processors-in-silicon/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200227T104500
DTEND;TZID=America/New_York:20200227T114500
DTSTAMP:20260407T192323
CREATED:20200214T204654Z
LAST-MODIFIED:20200214T204654Z
UID:10006410-1582800300-1582803900@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: “Computational Materials Design from  Synthesis to Functionality”
DESCRIPTION:The concept of computational materials design envisions the identification of new synthetically-accessible structures with desirable properties and the optimization of known systems using first-principles calculations. While significant steps towards realizing this vision have been made\, notably in atomistic property evaluation\, the computational prediction of materials synthesis and realistic structure remains a challenge. Dr. Kitchaev will describe my work towards resolving these obstacles using three examples where models constructed from first-principles data yield quantitative synthesis predictions\, describe the structure of the resulting materials\, and reveal design criteria for optimizing materials behavior. He will first show that the synthesis routes used to obtain the diverse array of crystal structures observed in the manganese oxides can be quantitatively described with a quasi-equilibrium view of crystallization which takes into account the effects of off-stoichiometry\, finite-size effects and hydration. He will then apply a similar synthesis model to the design and optimization of disordered rocksalt oxyfluoride Li-ion battery cathode materials where electrochemical behavior is strongly coupled to chemical short range order. Finally\, he will describe the computational design of materials capable of hosting magnetic skyrmion phases\, which are nanoscale magnetic textures with nontrivial topology\, focusing on ensuring that these phases are thermally robust and tunable as is necessary for spintronic device applications. In all three cases\, experimental tests validate the predictive power of the computational analysis. While numerous open questions remain to be resolved before generally predictive synthesis-aware materials design is possible\, these initial results demonstrate the transformative potential of these tools to the development of new functional materials.
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-computational-materials-design-from-synthesis-to-functionality/
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:20200226T150000
DTEND;TZID=America/New_York:20200226T160000
DTSTAMP:20260407T192323
CREATED:20191219T204400Z
LAST-MODIFIED:20191219T204400Z
UID:10006354-1582729200-1582732800@seasevents.nmsdev7.com
SUMMARY:CBE Faculty Candidate Seminar: "Understanding and Design of Materials of High Energy Density Batteries"
DESCRIPTION:Abstract: \nEnvironmental challenges and economic forces are reshaping the way we generate and consume energy on a global scale. To keep up with the accelerating adoption of electric vehicles\, allow for grid scale energy storage\, and meet the demands of future technological advances\, new materials for high energy density batteries must be developed. High costs have prevented widespread deployment of lithium-ion batteries beyond portable electronics\, and the safety hazards of exothermic reactions associated with traditional materials during cell failure remain to be fully addressed. Therefore\, strategies to enhance the mechanical and chemical stability of next-generation electrode materials are key to the successful integration of batteries into our future energy systems. In this presentation\, I will discuss new materials designed to address issues of stability in Li-ion batteries and fundamental insight into the mechanisms of this stabilization. The first portion of my talk will describe how a supramolecular\, hydrogen-bonding\, self-healing polymer is used to stabilize high capacity anode materials. Next\, I will describe further investigation toward a general understanding of how polymer coatings affect the electrodeposition of metallic lithium anodes. Third\, I will discuss the use of in situ characterization techniques to study the mechanisms of electrolyte decomposition reactions at the lithium metal interface. Overall\, the work presented here contributes new materials to be used in electric vehicles\, grid scale storage\, and new electronic devices\, and uses these materials to develop a fundamental understanding about how materials properties affect the stability of lithium ion batteries in each application. This understanding provides direction for the design and synthesis of new polymer materials to better stabilize advanced battery chemistries.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-understanding-and-design-of-materials-of-high-energy-density-batteries/
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:20200226T090000
DTEND;TZID=America/New_York:20200226T220000
DTSTAMP:20260407T192323
CREATED:20200225T213737Z
LAST-MODIFIED:20200225T213737Z
UID:10006420-1582707600-1582754400@seasevents.nmsdev7.com
SUMMARY:“Engineering at NSF:  Big Ideas and More”
DESCRIPTION:Three years ago\, NSF announced Ten Big Ideas for Future Investments.  From Harnessing the Data Revolution\, to defining the Future of Work at the Human-Technology Frontier\, and Understanding the Rules of Life\, all of the Big Ideas require cross-disciplinary\, convergent research to make significant progress on these important societal challenges.  The talk will present an overview of these ideas and describe some of the funding opportunities.  There will also be a summary of the activities of the Engineering Directorate\, highlights of new cross-cutting programs at NSF\, and time for Q&A.
URL:https://seasevents.nmsdev7.com/event/engineering-at-nsf-big-ideas-and-more/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200225T143000
DTEND;TZID=America/New_York:20200225T170000
DTSTAMP:20260407T192323
CREATED:20200127T184902Z
LAST-MODIFIED:20200127T184902Z
UID:10006390-1582641000-1582650000@seasevents.nmsdev7.com
SUMMARY:Memorial Event:  Dean Joseph Bordogna
DESCRIPTION:Please join us on Tuesday\, February 25\, as we celebrate the life and legacy of Dr. Joseph Bordogna\, Professor Emeritus of Electrical and Systems Engineering and former Dean of Penn Engineering. \nDr. Bordogna was a student and a colleague in our school\, and a beloved and visionary dean. He provided the foundational leadership for the world-renowned M&T program\, was a champion of K-12 education\, and a founder of PRIME (Philadelphia Regional Introduction for Minorities to Engineering). He was an officer on the USS New Jersey\, which is anchored here in Philadelphia. He served as the deputy director and Chief Operating Officer of the National Science Foundation from 1999-2005. Most importantly\, he was a true friend\, colleague and mentor to so many. \nA memorial celebration will be held in the Glandt Forum at the Singh Center for Nanotechnology\, followed by a reception in the Lubin Galleria. We hope you can attend. \n 
URL:https://seasevents.nmsdev7.com/event/memorial-event-dean-joseph-bordogna/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200225T110000
DTEND;TZID=America/New_York:20200225T120000
DTSTAMP:20260407T192323
CREATED:20200211T144540Z
LAST-MODIFIED:20200211T144540Z
UID:10006405-1582628400-1582632000@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Quantum information processing with superconducting circuits:  Purcell effect and the measurement problem"
DESCRIPTION:Abstract\nWith recent advances in state preparation\, gate\, and measurement operations\, superconducting circuit architectures are now leading candidates for quantum information processing. As micro-fabricated circuits are scaled up towards a practical quantum processor\, strict requirements on the fidelity of operations required for quantum computation are imposed. For theorists\, this mandates the development of accurate models describing the dynamics of complex superconducting circuits subject to strong drives. \nThis talk will begin with an elementary introduction to such systems and their description in terms of quantum electrodynamics\, the fundamental theory of light-matter interactions. We will then address the problem of the Purcell effect\, which is the enhancement of the decay rate of a single qubit due to a linear electromagnetic environment\, and show how convergent results can be obtained without any artificial high-frequency cutoffs. We will also explain how the Purcell rate is further enhanced in the presence of the drive fields typically used to measure qubits\, which is a ubiquitous problem encountered in present-day experiments.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-quantum-information-processing-with-superconducting-circuits-purcell-effect-and-the-measurement-problem/
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200225T103000
DTEND;TZID=America/New_York:20200225T120000
DTSTAMP:20260407T192323
CREATED:20200108T214751Z
LAST-MODIFIED:20200108T214751Z
UID:10006364-1582626600-1582632000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Robot Design Concepts for Intuitive Physical Human-Robot Interaction"
DESCRIPTION:Physical human-robot interaction (pHRI) aims at taking advantage of the complementary capabilities of robots and humans. One of the key challenges in pHRI is to provide a high-bandwidth human-robot interaction that is safe and intuitive for the human user. To this end\, it is proposed in this work to revisit the design of robots in order to provide a low-impedance mechanical interaction. The concept of macro-mini robotic system is used and applied to interactive robotic devices. Also\, the design of backdrivable redundant parallel robots is considered. In this concept\, parallel robots are used to provide backdrivability while kinematic redundancy is introduced to increase the rotational workspace of parallel mechanisms\, by alleviating the singularities. Solutions based on passive or active human-robot interfaces are proposed and examples of implementations are described. Prototypes of robotic systems developed at Université Laval based on the above concepts are demonstrated.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-robot-design-concepts-for-intuitive-physical-human-robot-interaction-2/
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:20200224T150000
DTEND;TZID=America/New_York:20200224T160000
DTSTAMP:20260407T192323
CREATED:20200128T150548Z
LAST-MODIFIED:20200128T150548Z
UID:10006391-1582556400-1582560000@seasevents.nmsdev7.com
SUMMARY:CBE Faculty Candidate Seminar: Towards a "Greener" Route for Acetic Acid Production via the Carbonylation of Dimethyl Ether Over Small-Pore Molecular Sieves
DESCRIPTION:Abstract: \nCatalyst design is a critical pillar\, and current bottleneck\, in the construction of a sustainable chemical industry. Practical catalytic materials are earth-abundant\, active\, selective\, and stable. Developing materials that meet these criteria is challenging and involves a two-phase process that (1) extracts molecular-level understanding of the origin of reactivity for a given chemical pathway\, and (2) exploits this understanding through tailored synthetic techniques. \nIn this talk\, I will focus on catalyst design for the Koch-type carbonylation pathway\, a reaction that is of practical interest since it provides a rare noble metal- and halide-free route to producing an important chemical intermediate\, acetic acid. I will present the characterization of the reactivity of the small-pore molecular sieve with the chabazite structure for this reaction. From the analysis of materials synthesized with different active site densities and strengths\, in conjunction with theoretical investigations\, we obtain fundamental insights into the descriptors of reactivity for the carbonylation reaction in this small-pore material. These insights\, in turn\, can be used to intelligently direct the investigation of other small-pore molecular sieves with tuned confining environments and chemical compositions\, and motivate the development of synthetic techniques that control active site distributions in a broader range of solid materials. Collectively\, our studies provide a successful example of the first step in the process of tailoring catalytic materials for new applications through rational design methods.
URL:https://seasevents.nmsdev7.com/event/cbe-faculty-candidate-seminar-towards-a-greener-route-for-acetic-acid-production-via-the-carbonylation-of-dimethyl-ether-over-small-pore-molecular-sieves/
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:20200221T140000
DTEND;TZID=America/New_York:20200221T150000
DTSTAMP:20260407T192323
CREATED:20200114T163710Z
LAST-MODIFIED:20200114T163710Z
UID:10006380-1582293600-1582297200@seasevents.nmsdev7.com
SUMMARY:PICS Seminar with Sam Schoenholz of Google Brain
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/pics-seminar-with-sam-schoenholz-of-google-brain/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200220T104500
DTEND;TZID=America/New_York:20200220T114500
DTSTAMP:20260407T192323
CREATED:20200214T172446Z
LAST-MODIFIED:20200214T172446Z
UID:10006409-1582195500-1582199100@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: "Uncovering atomistic mechanisms of crystallization using Machine Learning"
DESCRIPTION:Solid-liquid interfaces have notoriously haphazard atomic environments. While essentially amorphous\, the liquid has short-range order and heterogeneous dynamics. The crystal\, albeit ordered\, contains a plethora of defects ranging from adatoms to dislocation-created spiral steps. All these elements are of paramount importance in the crystal growth process\, which makes the crystallization kinetics challenging to describe concisely in a single framework. In this seminar I will introduce a novel data-driven approach to systematically detect\, encode\, and classify all atomic-scale crystallization mechanisms described above. I will also show how this approach naturally leads to a predictive kinetic model of crystallization that takes into account the entire zoo of microstructural elements present at solid-liquid interfaces. In this innovative application of data science to materials Machine Learning is employed as an aid to augment human intuition\, rather than a substitute thereof. The result is an approach that blends prevailing scientific methods with data-science tools to produce physically-consistent models and conceptual knowledge.
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-uncovering-atomistic-mechanisms-of-crystallization-using-machine-learning/
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
END:VCALENDAR