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DTSTART;TZID=America/New_York:20210225T150000
DTEND;TZID=America/New_York:20210225T160000
DTSTAMP:20260407T151910
CREATED:20210112T192642Z
LAST-MODIFIED:20210112T192642Z
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SUMMARY:BE Seminar: "Dissecting Multicellular Therapeutic Responses Using a Large-scale Single-cell Profiling Platform" (Siyu Chen)
DESCRIPTION:This event will be held virtually via Zoom (check email or contact ksas@seas.upenn.edu). \nHuman diseases are fundamentally multicellular in nature with many different cell types contributing to disease progression and treatment response. However\, how therapeutics impact each cell type in a heterogeneous population remains poorly understood because most studies are focused on isolated cell types or a handful of pathways. Now\, single-cell transcriptional profiling methods allow us to collect a deep molecular portrait of the collective response of heterogeneous populations of cells to any perturbation. In my talk\, I will present my research in harnessing the power of single-cell transcriptional profiling measurements to dissect therapeutic response in heterogeneous cell populations. In the first part\, I will describe the probabilistic modeling framework I developed for analyzing single-cell population data across perturbations at scale (PopAlign). PopAlign models single-cell data with semantically interpretable\, low-error\, highly-compressed probabilistic models\, which allows fast comparisons across hundreds of samples. In the second part\, I will discuss how I applied this framework to analyze a drug response study of over 1.6M human primary immune cells to 500 commercially-available immunomodulatory compounds. While most compounds in the library exert broad impact across multiple cell types in the population\, my analysis also reveals highly cell-type specific activity\, including a novel myeloid-suppressing function of a group of compounds including NSAIDs and an artificial sweetener. My work provides new depth and insight into how existing compounds reshape immune populations\, and a general platform for evaluating and designing population-level responses to therapeutic interventions.
URL:https://seasevents.nmsdev7.com/event/be-seminar-siyu-chen/
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210225T150000
DTEND;TZID=America/New_York:20210225T160000
DTSTAMP:20260407T151910
CREATED:20210210T183712Z
LAST-MODIFIED:20210210T183712Z
UID:10006645-1614265200-1614268800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar:"Probabilistic proofs: theory\, hardware\, and everything in between"
DESCRIPTION:In the past decade\, systems that use probabilistic proofs in real-world applications have seen explosive growth. These systems build upon some of the crown jewels of theoretical computer science—interactive proofs\, probabilistically checkable proofs\, and zero-knowledge proofs—to solve problems of trust and privacy in a wide range of settings. \nThis talk describes my work building systems that answer questions ranging from “how can we build trustworthy hardware that uses untrusted components?” to “how can we reduce the cost of verifying smart contract execution in blockchains?” Along the way\, I will discuss the pervasive challenges of efficiency\, expressiveness\, and scalability in this research area; my approach to addressing these challenges; and future directions that promise to bring this exciting technology to bear on an even wider range of applications.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-breaking-the-chains-of-implicit-trust/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210225T190000
DTEND;TZID=America/New_York:20210225T210000
DTSTAMP:20260407T151910
CREATED:20210219T211516Z
LAST-MODIFIED:20210219T211516Z
UID:10006661-1614279600-1614286800@seasevents.nmsdev7.com
SUMMARY:ODEI Event: Do You Have a Crew? The Importance of Friendship in Creating a Fulfilling Life
DESCRIPTION:Don’t isolate. Congregate! Join Penn Engineering’s Office of Diversity\, Equity\, and Inclusion to meet six dynamic men and learn about how their bonds of friendship and NSBE affiliation benefited them personally and professionally. Hear their story and engage in Q&A for the first hour (7PM-8PM). Then\, meet someone new in breakout groups (8PM-8:30PM). An additional 30 minutes (8:30 PM-9PM) will be available for extended conversations. Do you have a crew? Join us to expand your circle! \nZoom Link: https://upenn.zoom.us/j/98242572639 \nZoom ID: 982 4257 2639
URL:https://seasevents.nmsdev7.com/event/odei-event-do-you-have-a-crew-the-importance-of-friendship-in-creating-a-fulfilling-life/
ORGANIZER;CN="Office of Diversity%2C Equity and Inclusion":MAILTO:odei@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210226T110000
DTEND;TZID=America/New_York:20210226T123000
DTSTAMP:20260407T151910
CREATED:20210222T144028Z
LAST-MODIFIED:20210222T144028Z
UID:10006663-1614337200-1614342600@seasevents.nmsdev7.com
SUMMARY:GRASP On Robotics: “Photoacoustic Vision for Surgical Robots”
DESCRIPTION:Abstract: The concept of “x-ray vision” is widely understood to be the ability to see through structures that are not transparent to the human eye. This concept would be a useful feature for surgeons and surgical robots\, particularly when navigating complex anatomy. The Photoacoustic & Ultrasonic Systems Engineering (PULSE) Lab is developing imaging systems to offer this capability\, but not with ionizing x-rays. Instead\, we are utilizing a different wavelength on the electromagnetic spectrum\, specifically the nm wavelengths required to induce the photoacoustic effect and enable photoacoustic imaging. To implement this vision\, laser pulses delivered through optical fibers illuminate surgical regions of interest\, causing an acoustic response that is detectable with ultrasound transducers. Beamforming is then implemented to create a photoacoustic image. In this talk\, I will highlight novel light delivery systems\, new spatial coherence beamforming theory\, deep learning alternatives to beamforming\, and robotic integration methods\, each pioneered by the PULSE Lab to enable an exciting new frontier known as photoacoustic-guided surgery. This new paradigm has the potential to eliminate the occurrence of major complications (e.g.\, inaccurate targeting\, excessive bleeding\, paralysis\, accidental patient death) during a wide range of delicate surgeries and procedures\, including neurosurgery\, cardiac catheter-based interventions\, liver surgery\, spinal fusion surgery\, hysterectomies\, biopsies\, and teleoperative robotic surgeries. \nClick here to join the Zoom Webinar
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-photoacoustic-vision-for-surgical-robots/
LOCATION:Zoom
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210226T140000
DTEND;TZID=America/New_York:20210226T150000
DTSTAMP:20260407T151910
CREATED:20210120T171227Z
LAST-MODIFIED:20210120T171227Z
UID:10006594-1614348000-1614351600@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Learning about learning by many-body systems"
DESCRIPTION:Abstract: Many-body systems from soap bubbles to suspensions to polymers learn the drives that push them far from equilibrium. This learning has been detected with thermodynamic properties\, such as work absorption and strain. We progress beyond these macroscopic properties that were first defined for equilibrium contexts: We quantify statistical mechanical learning with representation learning\, a machine-learning model in which information squeezes through a bottleneck. We identify a structural parallel between representation learning and far-from-equilibrium statistical mechanics. Applying this parallel\, we measure four facets of many-body systems’ learning: classification ability\, memory capacity\, discrimination ability\, and novelty detection. Numerical simulations of a classical spin glass illustrate our technique. This toolkit exposes self-organization that eludes detection by thermodynamic measures. Our toolkit more reliably and more precisely detects and quantifies learning by matter.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-learning-about-learning-by-many-body-systems-2/
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210226T160000
DTEND;TZID=America/New_York:20210226T170000
DTSTAMP:20260407T151910
CREATED:20210223T145719Z
LAST-MODIFIED:20210223T145719Z
UID:10006669-1614355200-1614358800@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: USABE Fireside Chat with Dr. CJ Taylor
DESCRIPTION:Fireside Chat with Dr. CJ Taylor\nDate: Friday\, February 26th\nTime: 4:00 – 5:00 PM EST\nJoin USABE on Friday\, February 26th at 4 PM for a conversation with Dr. CJ Taylor\, Associate Dean for Diversity\, Equity\, and Inclusion at Penn Engineering\, to discuss his experiences in STEM and engineering and his role as a professor in SEAS. Please register for the event and submit your questions for Dr. Taylor at tiny.cc/USABEfiresidechat.
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-fireside-chat-with-dr-cj-taylor/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210301T120000
DTEND;TZID=America/New_York:20210301T130000
DTSTAMP:20260407T151910
CREATED:20210120T164831Z
LAST-MODIFIED:20210120T164831Z
UID:10006586-1614600000-1614603600@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: "Polarity Signaling Ensures Epidermal Homeostasis By Coupling Cellular Mechanics and Genomic Integrity" (Sandra Iden)
DESCRIPTION:Physical Sciences in Oncology Center PSOC@Penn \nSpring 2021 Webinar Series Mondays at 12:00 noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu.
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-polarity-signaling-ensures-epidermal-homeostasis-by-coupling-cellular-mechanics-and-genomic-integrity-sandra-iden/
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210302T103000
DTEND;TZID=America/New_York:20210302T120000
DTSTAMP:20260407T151910
CREATED:20210226T162055Z
LAST-MODIFIED:20210226T162055Z
UID:10006676-1614681000-1614686400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Fusion for Robot Perception and Controls"
DESCRIPTION:Machine learning has led to powerful advances in robotics: deep learning for visual perception from raw images and deep reinforcement learning (RL) for learning controls from trial and error. Yet\, these black-box techniques can often require large amounts of data\, have results difficult to interpret\, and fail catastrophically when dealing with out-of-distribution data. In this talk\, I will introduce the concept of “fusion” in robot perception and controls for robust\, sample efficient\, and generalizable robot learning. On the perception side\, we fuse multiple sensor modalities and demonstrate generalization to new task instances and robustness to sensor failures that are out-of-distribution. On the controls side\, we leverage fusion by combining known models with learned policies\, making our policy learning substantially more sample efficient.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-fusion-for-robot-perception-and-controls/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210302T104500
DTEND;TZID=America/New_York:20210302T114500
DTSTAMP:20260407T151910
CREATED:20210222T205834Z
LAST-MODIFIED:20210222T205834Z
UID:10006666-1614681900-1614685500@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Engineering topological phases in graphene moiré heterostructures"
DESCRIPTION:Taming topological electronic phases is a fundamental challenge and an important milestone on the way towards novel electronic devices and topological quantum computation. Recent advances in fabrication techniques have made van der Waals (vdW) heterostructures one of the most active platforms for the experimental investigation of topological electronic phases in 2D. Moiré superlattices\, which arise from small rotational misalignment between layers in vdW structures\, provide a powerful new way to control the electronic band structure. My talk will focus on using moiré superlattices in graphene heterostructures to realize quantum anomalous Hall (QAH) states that exhibit topological properties even in the absence of an external magnetic field. In contrast to magnetically doped topological insulators\, the QAH states in these moiré systems are driven by intrinsic strong electronic interactions rather than by magnetic doping. Remarkably\, the magnetization of this new family of QAH states arises predominantly from the orbital motion of the electrons rather than the electron spin. I will also discuss a novel effect originating from the curious magnetic properties of these “orbital magnets” that enables non-volatile electrical switching of the magnetic and topological orders.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-engineering-topological-phases-in-graphene-moire-heterostructures/
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210302T140000
DTEND;TZID=America/New_York:20210302T150000
DTSTAMP:20260407T151910
CREATED:20201214T204837Z
LAST-MODIFIED:20201214T204837Z
UID:10006567-1614693600-1614697200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Reactive Planning with Legged Robots in Unknown Environments”
DESCRIPTION:Unlike the problem of safe task and motion planning in a completely known environment\, the setting where the obstacles in a robot’s workspace are not initially known and are incrementally revealed online has so far received little theoretical interest\, with existing algorithms usually demanding constant deliberative replanning in the presence of unanticipated conditions. Moreover\, even though recent advances show that legged platforms are becoming better at traversing rough terrains and environments\, legged robots are still mostly used as locomotion research platforms\, with applications restricted to domains where interaction with the environment is usually not needed and actively avoided. \nIn order to accomplish challenging tasks with such highly dynamic robots in unexplored environments\, this research suggests with formal arguments and empirical demonstration the effectiveness of a hierarchical control structure\, that we believe is the first provably correct deliberative/reactive planner to engage an unmodified general purpose mobile manipulator in physical rearrangements of its environment. To this end\, we develop the mobile manipulation maneuvers to accomplish each task at hand\, successfully anchor the useful kinematic unicycle template to control our legged platforms\, and integrate perceptual feedback with low-level control to coordinate each robot’s movement. \nAt the same time\, this research builds toward a useful abstraction for task planning in unknown environments\, and provides an avenue for incorporating partial prior knowledge within a deterministic framework well suited to existing vector field planning methods\, by exploiting recent developments in semantic SLAM and object pose and triangular mesh extraction using convolutional neural net architectures. Under specific sufficient conditions\, formal results guarantee collision avoidance and convergence to designated (fixed or slowly moving) targets\, for both a single robot and a robot gripping and manipulating objects\, in previously unexplored workspaces cluttered with non-convex obstacles. We encourage the application of our methods by providing accompanying software with open-source implementations of our algorithms.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-reactive-planning-with-legged-robots-in-unknown-environments/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210302T150000
DTEND;TZID=America/New_York:20210302T160000
DTSTAMP:20260407T151910
CREATED:20210210T205514Z
LAST-MODIFIED:20210210T205514Z
UID:10006646-1614697200-1614700800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: " Exterminating bugs in real systems"
DESCRIPTION:Software is everywhere\, and almost everywhere\, software is broken. Some bugs just crash your printer; others hand an identity thief your bank account number; still others let nation-states spy on dissidents and persecute minorities. \nThis talk outlines my work preventing bugs using a blend of programming languages techniques and systems design. First\, I’ll talk about securing massive\, security-critical codebases without clean slate rewrites. This means rooting out hard-to-find bugs—as in Sys\, which scales symbolic execution to find exploitable bugs in systems like the twenty-million line Chrome browser. It also means proving correctness of especially vulnerable pieces of code—as in VeRA\, which automatically verifies part of the Firefox JavaScript engine. Finally\, I’ll discuss work on stronger foundations for new systems—as in CirC\, a recent project unifying compiler infrastructure for program verification\, cryptographic proofs\, optimization problems\, and more.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-exterminating-bugs-in-real-systems/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210303T110000
DTEND;TZID=America/New_York:20210303T123000
DTSTAMP:20260407T151910
CREATED:20210226T171601Z
LAST-MODIFIED:20210226T171601Z
UID:10006677-1614769200-1614774600@seasevents.nmsdev7.com
SUMMARY:Spring 2021 GRASP SFI: “Safe and Data-efficient Learning for Robotics”
DESCRIPTION:Abstract: For successful integration of autonomous systems such as drones and self-driving cars in our day-to-day life\, they must be able to quickly adapt to ever-changing environments\, and actively reason about their safety and that of other users and autonomous systems around them. Even though control-theoretic approaches have been used for decades now for the control and safety analysis of autonomous systems\, these approaches typically operate under the assumption of a known system dynamics model and the environment in which the system is operating. To overcome these challenges\, machine learning approaches have been explored to operate autonomous systems intelligently and reliably in unpredictable environments based on prior data. However\, learning techniques widely used today are extremely data inefficient\, making it challenging to apply them to real-world physical systems. Moreover\, they lack the necessary mathematical framework to provide guarantees on correctness\, causing safety concerns as data-driven physical systems are integrated in our society.\nIn this talk\, we will present a toolbox of methods combining robust optimal control with data-driven techniques inspired by machine learning\, to enable performance improvement while maintaining safety. In particular\, we design modular architectures that combine system dynamics models with modern learning-based perception approaches to solve challenging perception and control problems in ​a priori unknown environments in a data-efficient fashion. These approaches are demonstrated on a variety of ground robots navigating in unknown buildings around humans based only on onboard visual sensors. Next\, we discuss how we can use optimal control methods not only for data-efficient learning\, but also to monitor and recognize the learning system’s failures\, and to provide online corrective safe actions when necessary. This allows us to provide safety assurances for learning-enabled systems in unknown and human-centric environments\, which has remained a challenge to date. \nClick here to join the Zoom meeting
URL:https://seasevents.nmsdev7.com/event/spring-2021-grasp-sfi-safe-and-data-efficient-learning-for-robotics/
LOCATION:Zoom
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210303T150000
DTEND;TZID=America/New_York:20210303T160000
DTSTAMP:20260407T151910
CREATED:20210122T020721Z
LAST-MODIFIED:20210122T020721Z
UID:10006608-1614783600-1614787200@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Metal-Organic Frameworks as Tunable Platforms for Gas Storage\, Chemical Separations and Catalysis"
DESCRIPTION:Abstract \nMetal-organic frameworks (MOFs) are a versatile class of nanoporous materials synthesized in a “building-block” approach from inorganic nodes and organic linkers.  By selecting appropriate building blocks\, the structural and chemical properties of the resulting materials can be finely tuned\, and this makes MOFs promising materials for applications such as gas storage\, chemical separations\, sensing\, drug delivery\, and catalysis.  This talk will focus on efforts to design or screen MOFs for separating mixtures of small molecules\, for gas storage\, and for catalysis.  Because of the predictability of MOF synthetic routes and the nearly infinite number of possible structures\, molecular modeling is an attractive tool for screening new MOFs before they are synthesized.  Modeling can also provide insight into the molecular-level details that lead to observed macroscopic properties.  This talk will illustrate how a combined modeling and experimental approach can be used to discover\, develop\, and ultimately design new MOFs for desired separation\, storage\, and catalysis applications.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-metal-organic-frameworks-as-tunable-platforms-for-gas-storage-chemical-separations-and-catalysis/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210303T150000
DTEND;TZID=America/New_York:20210303T160000
DTSTAMP:20260407T151910
CREATED:20210210T211157Z
LAST-MODIFIED:20210210T211157Z
UID:10006647-1614783600-1614787200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "The Measurement and Mismeasurement of Trustworthy ML"
DESCRIPTION:Across healthcare\, science\, and engineering\, we increasingly employ machine learning (ML) to automate decision-making that\, in turn\, affects our lives in profound ways. However\, ML can fail\, with significant and long-lasting consequences. Reliably measuring such failures is the first step towards building robust and trustworthy learning machines. Consider algorithmic fairness\, where widely-deployed fairness metrics can exacerbate group disparities and result in discriminatory outcomes. Moreover\, existing metrics are often incompatible. Hence\, selecting fairness metrics is an open problem. Measurement is also crucial for robustness\, particularly in federated learning with error-prone devices. Here\, once again\, models constructed using well-accepted robustness metrics can fail. Across ML applications\, the dire consequences of mismeasurement are a recurring theme. This talk will outline emerging strategies for addressing the measurement gap in ML and how this impacts trustworthiness.
URL:https://seasevents.nmsdev7.com/event/4212/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210304T104500
DTEND;TZID=America/New_York:20210304T114500
DTSTAMP:20260407T151910
CREATED:20210222T210218Z
LAST-MODIFIED:20210222T210218Z
UID:10006667-1614854700-1614858300@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Engineering nanoparticle-cell interactions: using a library-based approach to guide drug carrier design"
DESCRIPTION:Nanoparticles offer huge promise as drug delivery vehicles\, though their translation to the clinic is hampered due to limited accumulation at target disease sites. To overcome this hurdle\, we have employed colloidal layer-by-layer assembly to generate comprehensive nanoparticle libraries to study the role of chemical composition in nanoparticle targeting\, trafficking\, and uptake. In this seminar\, use of these libraries to study interactions with ovarian cancer cells and develop a new class of multifunctional drug carriers will first be discussed. Expansion of our library-based approach via the use of high throughput\, pooled screening and correlative genomics will be detailed in the second half. Key underlying principles from these studies will be highlighted for their potential to influence future nanocarrier design.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-engineering-nanoparticle-cell-interactions-using-a-library-based-approach-to-guide-drug-carrier-design/
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210304T110000
DTEND;TZID=America/New_York:20210304T120000
DTSTAMP:20260407T151910
CREATED:20210211T142929Z
LAST-MODIFIED:20210211T142929Z
UID:10006649-1614855600-1614859200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "High-Level Synthesis of Dynamically Scheduled Circuits"
DESCRIPTION:The slowdown in transistor scaling and the end of Moore’s law indicate a need to invest in new computing paradigms; specialized hardware devices\, such as FPGAs and ASICs\, are a promising solution as they can achieve high processing capabilities and energy efficiency. However\, a major barrier to the global success of specialized computing is the difficulty of hardware design. High-level synthesis (HLS) tools generate digital hardware designs from high-level programming languages (e.g.\, C/C++) and promise to liberate designers from low-level hardware description details. Yet\, HLS tools are still acceptable only for certain classes of applications and criticized for the difficulty of extracting the desired level of performance: generating good circuits still requires tedious code restructuring and hardware design expertise. \nIn this talk\, I will present a new HLS methodology that produces dynamically scheduled\, dataflow circuits out of C/C++ code; the resulting circuits achieve good performance out-of-the-box and realize behaviors that are beyond the capabilities of standard HLS tools. I will describe mathematical models to optimize the performance and area of the resulting circuits\, as well as techniques to achieve characteristics that standard HLS cannot support\, such as out-of-order memory accesses and speculative execution. These contributions redefine the HLS paradigm by introducing characteristics of modern superscalar processors to hardware designs; such behaviors are key for specialized computing to be successful in new contexts and broader application domains.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-high-level-synthesis-of-dynamically-scheduled-circuits/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Student
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210304T110000
DTEND;TZID=America/New_York:20210304T130000
DTSTAMP:20260407T151910
CREATED:20210224T142236Z
LAST-MODIFIED:20210224T142236Z
UID:10006670-1614855600-1614862800@seasevents.nmsdev7.com
SUMMARY:BE Dissertation Defense: "Uncovering Constraints on Organoid Morphologies" (Lauren Beck)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Arjun Raj are pleased to announce the Doctoral Dissertation Defense of Lauren Beck.\n\n\nTitle: Uncovering Constraints on Organoid Morphologies\n\nDate: March 4\, 2021\n\nTime: 11:00 AM\n\nZoom Link: https://upenn.zoom.us/j/94130810306\n\nThe public is welcome to attend via zoom.
URL:https://seasevents.nmsdev7.com/event/be-dissertation-defense-uncovering-constraints-on-organoid-morphologies-lauren-beck/
LOCATION:Zoom
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210304T150000
DTEND;TZID=America/New_York:20210304T160000
DTSTAMP:20260407T151910
CREATED:20210210T215014Z
LAST-MODIFIED:20210210T215014Z
UID:10006648-1614870000-1614873600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Architecting Quantum Computing Systems in the Presence of Noise"
DESCRIPTION:Quantum computers may solve some problems beyond the reach of classical digital computers. However\, emerging quantum systems are typically noisy and difficult to control\, leaving a significant gap between the exacting requirements of quantum applications and the realities of noisy devices. Bridging this gap is crucial – my work adapts conventional computer systems techniques to meet the critical theoretical and experimental constraints in quantum processors. I divide my talk into three parts: (i) introducing my recent work on systematic noise mitigation for superconducting transmon qubits [MICRO’20]\, which enhances the robustness of quantum processors through coordination of control instructions; (ii) demonstrating efficient and reliable quantum memory management [ISCA’20]\, which implements automated tools for allocation\, reclamation and reuse of qubits in quantum programs\, much like in garbage collection for classical programs; (iii) discussing on-going work on implementing quasi-fault-tolerant rotation gates in quantum error correction\, which seeks to provide correctness guarantees for quantum applications by encoding quantum bits in a way that errors can be detected and corrected\, analogous to classical error-correcting codes.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-architecting-quantum-computing-systems-in-the-presence-of-noise/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210305T110000
DTEND;TZID=America/New_York:20210305T123000
DTSTAMP:20260407T151910
CREATED:20210226T213555Z
LAST-MODIFIED:20210226T213555Z
UID:10006678-1614942000-1614947400@seasevents.nmsdev7.com
SUMMARY:GRASP On Robotics: “Advancing Innovations for Robotic Teams in Complex Environments”
DESCRIPTION:Abstract: Complex real-world environments continue to present significant challenges for fielding robotic teams\, which often face expansive spatial scales\, difficult and dynamic terrain\, degraded environmental conditions\, and severe communication constraints. Breakthrough technologies call for integrated solutions across autonomy\, perception\, networking\, mobility\, and human teaming thrusts. As such\, the DARPA OFFSET program and the DARPA Subterranean Challenge seek novel approaches and new insights for discovering and demonstrating these innovative technologies\, to help close critical gaps for robotic operations in complex urban and underground environments. \nClick here to join the Zoom Webinar
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-advancing-innovations-for-robotic-teams-in-complex-environments/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210305T120000
DTEND;TZID=America/New_York:20210305T130000
DTSTAMP:20260407T151910
CREATED:20210211T184416Z
LAST-MODIFIED:20210211T184416Z
UID:10006650-1614945600-1614949200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Reliable Machine Learning in Feedback Systems"
DESCRIPTION:Machine learning techniques have been successful for processing complex information\, and thus they have the potential to play an important role in data-driven decision-making and control. However\, ensuring the reliability of these methods in feedback systems remains a challenge\, since classic statistical and algorithmic guarantees do not always hold. \nIn this talk\, I will provide rigorous guarantees of safety and discovery in dynamical settings relevant to robotics and recommendation systems. I take a perspective based on reachability\, to specify which parts of the state space the system avoids (safety) or can be driven to (discovery). For data-driven control\, we show finite-sample performance and safety guarantees which highlight relevant properties of the system to be controlled. For recommendation systems\, we introduce a novel metric of discovery and show that it can be efficiently computed. In closing\, I discuss how the reachability perspective can be used to design social-digital systems with a variety of important values in mind.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-reliable-machine-learning-in-feedback-systems/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Student
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210308
DTEND;VALUE=DATE:20210311
DTSTAMP:20260407T151910
CREATED:20210209T155834Z
LAST-MODIFIED:20210209T155834Z
UID:10006642-1615161600-1615420799@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight:  Women of Color in Higher Education - Resilience and Empowerment Amidst Twin Pandemics
DESCRIPTION:Penn Graduate School of Education’s Office of Student Services and Center for Professional Learning are excited to announce the Women of Color in Higher Education: Resilience and Empowerment Amidst Twin Pandemics Virtual Institute. This annual program is open to Penn Faculty\, Staff\, and Graduate Students who identify as a woman of color or non-binary person of color. \nWe are living in a time of renewed vigilance in the fight for racial equity\, a pandemic that opened the wound of race-based health disparities and food insecurities\, and a political/social environment that reflects insidious social injustice across the country. As such\, the Women of Color in Higher Education program seeks to unite and strengthen networks and form mentorships for the Penn community* of both women of color and non-binary people of color. \n*Please note that this program is exclusive to Penn faculty\, staff\, graduate students\, and alumni.  \nProgram Schedule \nPlease see below for the most up-to-date program schedule. \n\n\n\nMonday\, March 8 \n5:00 – 7:00 PM ET\nOpening Ceremony and Keynote Address\n\n\nTuesday\, March 9 \n9:00 AM – 1:00 PM ET \n5:00 PM – 7:00 PM ET\nCircle Sessions* \n  \nCircle Sessions*\n\n\nWednesday\, March 10 \n9:00 AM – 1:00PM ET\nCircle Sessions* and Closing Ceremony and Fireside Chat\n\n\n\n*Circle sessions are small concurrent group discussions about resilience led by faculty and staff.  \nWhat You’ll Gain \n\nBuild supportive networks within and across sectors\nEngage in reflection on practice and mechanisms that foster resilience\nExpand capacity to recovery quickly from adversity\nCelebrate self and other women and non-binary leaders of color\nValidate adversities and share strategies to foster resilience\nGain insight into how to design professional environments that foster thriving of women and non-binary people of color in leadership roles\n\nWho Should Enroll \nThis event is exclusive to Penn Faculty\, Staff and Graduate Students who identify as a woman of color or non-binary person of color. \nMore Information Here
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-women-of-color-in-higher-education-resilience-and-empowerment-amidst-twin-pandemics/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210308T120000
DTEND;TZID=America/New_York:20210308T130000
DTSTAMP:20260407T151910
CREATED:20210120T165110Z
LAST-MODIFIED:20210120T165110Z
UID:10006587-1615204800-1615208400@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: Jorden Zev Gartner
DESCRIPTION:Physical Sciences in Oncology Center PSOC@Penn \nSpring 2021 Webinar Series Mondays at 12:00 noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu.
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-jorden-zev-gartner/
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210308T160000
DTEND;TZID=America/New_York:20210308T170000
DTSTAMP:20260407T151910
CREATED:20210219T165512Z
LAST-MODIFIED:20210219T165512Z
UID:10006659-1615219200-1615222800@seasevents.nmsdev7.com
SUMMARY:ODEI Event: Climate Change and Urban Resilience
DESCRIPTION:Lolita Jackson\, Eng ’89\, has had distinguished careers in both finance and government. She currently serves as Special Advisor for Climate Policy & Programs in the NYC Mayor’s office and is also lead for the administration regarding global work on divestment and climate finance. In this talk she will describe how climate science has informed policy making and resilience planning in NYC. Lolita will also share her journey to Penn and the obstacles she overcame as a FGLI student during the 1980s\, and how her Penn Engineering education was instrumental in her career successes at both Morgan Stanley and the NYC Mayor’s Office. \n  \nZoom link: https://upenn.zoom.us/j/93852315224\nPasscode: 045597
URL:https://seasevents.nmsdev7.com/event/climate-change-and-urban-resilience/
LOCATION:https://upenn.zoom.us/j/96715197752
ORGANIZER;CN="Office of Diversity%2C Equity and Inclusion":MAILTO:odei@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210309T103000
DTEND;TZID=America/New_York:20210309T120000
DTSTAMP:20260407T151910
CREATED:20210222T175347Z
LAST-MODIFIED:20210222T175347Z
UID:10006664-1615285800-1615291200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Understanding and Controlling Pattern Formation of Soft Materials"
DESCRIPTION:Soft elastic solids\, such as elastomers and hydrogels\, are used in many practical applications ranging from adhesives to biocompatible scaffolds for tissue engineering. Biological cells and tissues have very similar mechanical properties as those of soft materials. Such solids undergo large deformations and can respond to forces such as interfacial tension\, gravity\, and residual stresses due to growth by swelling. Understanding how soft solids destabilize to external fields are crucial to avoid failure and aid engineering of materials of targeted geometries and properties\, as well as inform us about morphogenesis in soft biomatter. My research focuses on understanding fundamental principles of how joint roles of surface tension\, elasticity\, gravity interact with geometric length scales of soft solids to exhibit interfacial and bulk pattern formation\, as well as drive self-assembly of patterns in soft bio-interfaces. Soft\, porous solids also interact with liquids to give rise to interesting self-excitable phenomena. I will discuss my research with a few examples of how patterns and motions are observed in soft elastic solids\, with the motivation of learning fundamental principles of deformability of soft materials as well as harnessing them for diverse engineering applications.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-understanding-and-controlling-pattern-formation-of-soft-materials/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210309T104500
DTEND;TZID=America/New_York:20210309T114500
DTSTAMP:20260407T151910
CREATED:20210222T210359Z
LAST-MODIFIED:20210222T210359Z
UID:10006668-1615286700-1615290300@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Controlling ferroelectricity at the nanoscale: from oxide heterostructures to  freestanding crystalline membranes"
DESCRIPTION:Complex oxides are fascinating material systems exhibiting a diverse set of electrical\, magnetic\, and thermal properties. In particular\, ferroelectric oxides with an electrically switchable polarization and large dielectric and piezoelectric responses are considered as critical components for next-generation low-power logic devices\, non-volatile memories\, and nanoscale sensors and actuators\, etc. Recent advances in thin-film synthesis techniques including the synthesis of oxide heterostructures and crystalline membranes have provided opportunities for realizing novel functionality in ferroelectrics. In this talk\, I will show the ability to enable new device capabilities and emergent properties in the oxide heterostructures and crystalline membranes. First\, I will introduce the kinetic control of ferroelectric switching pathways to create multiple non-volatile polarization states in (111)-oriented PbZr0.2Ti0.8O3/SrTiO3 heterostructures. Such switching phenomena transcend the bi-stability of ferroelectric polarization and hold promise for multi-state functional applications. Second\, I will introduce our discovery of strain-induced ferroelectricity in quantum paraelectric SrTiO3 crystalline membranes\, which reveals enormous potential of employing membranes to create and enhance ferroelectricity in environmentally
URL:https://seasevents.nmsdev7.com/event/mse-seminar-controlling-ferroelectricity-at-the-nanoscale-from-oxide-heterostructures-to-freestanding-crystalline-membranes/
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210309T110000
DTEND;TZID=America/New_York:20210309T120000
DTSTAMP:20260407T151910
CREATED:20210209T144318Z
LAST-MODIFIED:20210209T144318Z
UID:10006638-1615287600-1615291200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Megahertz Power Electronics in Transportation and Healthcare Applications"
DESCRIPTION:The efficient use of electrical energy is a foundation of modern society. Power electronics is at the core of electrical energy conversion and greatly impacts a system’s size\, performance\, and cost. High-performance miniaturized power electronics can be a key enabling technology for many emerging applications\, such as electric vehicles (EV)\, medical devices\, and soft- and micro-robotics. \nThis talk presents a new generation of power electronic devices that leverage high-frequency (3-300 MHz) operations to reduce energy storage requirements and achieve a significant reduction in overall size and cost. New circuits and system architectures are introduced that enable such dramatic increases in operating frequencies. We will show several system examples\, including 1) a 1.7 kW inductive wireless power transfer system for EV charging\, 2) a 54 kV high-voltage power supply for Xray CT scanners\, and 3) a compact high-intensity focused ultrasound (HIFU) device for noninvasive cancer therapy\, to demonstrate the promising potential of high-performance megahertz power electronics in various applications.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-megahertz-power-electronics-in-transportation-and-healthcare-applications/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Student
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210309T150000
DTEND;TZID=America/New_York:20210309T160000
DTSTAMP:20260407T151910
CREATED:20210216T164506Z
LAST-MODIFIED:20210216T164506Z
UID:10006657-1615302000-1615305600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Proof systems for governance\, transparency\, and privacy"
DESCRIPTION:Record-keeping has long played a critical role in society\, from governing property ownership to establishing historical “truth”. Today\, our dependence on digital records is becoming absolute\, from our personal wealth\, commerce\, and identities to sources of knowledge and news. This has elevated the importance of three competing dimensions: Who has control over how records are managed? Who can verify the integrity of record maintenance? Who can see the information in records? Over the last decade\, these questions have sparked the development of digital record-keeping systems called “blockchains”. \nThis talk will cover three proof systems that bring new capabilities for governance\, transparency\, and privacy in blockchains. I will first talk about new techniques for balancing transparency and privacy that achieve order-of-magnitude efficiency improvements over the prior state of the art. Next\, I will talk about two new proof systems pertaining to governance: Verifiable Delay Functions (VDFs) and Proofs-of-Replication (PoReps). VDFs enable an unbiased leader election protocol that will be used within the consensus of Ethereum 2.0. PoReps enable a “permission-less” consensus protocol where voting power is based on data storage capacity instead of Bitcoin’s energy-wasteful “proof-of-work”. PoReps are deployed in Filecoin\, a decentralized storage network exceeding a capacity of two exabytes that secures a cryptocurrency worth over two billion dollars.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-proof-systems-for-governance-transparency-and-privacy/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210309T150000
DTEND;TZID=America/New_York:20210309T163000
DTSTAMP:20260407T151910
CREATED:20210304T171708Z
LAST-MODIFIED:20210304T171708Z
UID:10006683-1615302000-1615307400@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: Truth Telling\, The Media\, and Social Equity
DESCRIPTION:Following Remarks by Penn President Amy Gutmann there will be a panel featuring: \nAndrea Mitchell – Chief Washington Correspondent and Chief Foreign Affairs Correspondent NBC News \nJamil Smith – Emmy Award Winning Producer and Senior Writer Rolling Stone \nDavid Freedlander – Journalist and Author of The AOC Generation: How Millenials are Seizing Power and Rewriting the Rules of American Politics \nJohn Jackson – Walter H. Annenberg Dean of the Annenberg School for Communication and Richard Perry University Professor. \nKayla Padilla – Founder and Editor and Chief of The Sideline Post\, Current Wharton Student\, and Member of the Penn Women’s Basketball Team \nThe panel will be moderated by Monica Yant Kinney (Chief of Staff and Chief Communications Officer University Life Division and former Metropolitan Columnist with The Philadelphia Inquirer) \nHope to see you all there for what promises to be an informative and challenging conversation! And please feel free to share the flyer and info with others.
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-truth-telling-the-media-and-social-equity/
CATEGORIES:Diversity, Equity and Inclusion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210311T104500
DTEND;TZID=America/New_York:20210311T114500
DTSTAMP:20260407T151910
CREATED:20210305T182131Z
LAST-MODIFIED:20210305T182131Z
UID:10006684-1615459500-1615463100@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Tailoring materials properties by ultrafast laser driving of collective modes"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-seminar-tailoring-materials-properties-by-ultrafast-laser-driving-of-collective-modes/
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210312T110000
DTEND;TZID=America/New_York:20210312T120000
DTSTAMP:20260407T151910
CREATED:20210215T192651Z
LAST-MODIFIED:20210215T192651Z
UID:10006656-1615546800-1615550400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Demystifying (Deep) Reinforcement Learning: The Optimist\, The Pessimist\, and Their Provable Efficiency"
DESCRIPTION:Coupled with powerful function approximators such as deep neural networks\, reinforcement learning (RL) achieves tremendous empirical successes. However\, its theoretical understandings lag behind. In particular\, it remains unclear how to provably attain the optimal policy with a finite regret or sample complexity. In this talk\, we will present the two sides of the same coin\, which demonstrates an intriguing duality between pessimism and optimism. \n– In the online setting\, we aim to learn the optimal policy by actively interacting with an environment. To strike a balance between exploration and exploitation\, we propose an optimistic least-squares value iteration algorithm\, which achieves a \sqrt{T} regret in the presence of linear\, kernel\, and neural function approximators. \n– In the offline setting\, we aim to learn the optimal policy based on a dataset collected a priori. Due to a lack of active interactions with the environment\, we suffer from the insufficient coverage of the dataset. To maximally exploit the dataset\, we propose a pessimistic least-squares value iteration algorithm\, which achieves a minimax-optimal sample complexity.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-demystifying-deep-reinforcement-learning-the-optimist-the-pessimist-and-their-provable-efficiency/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Student
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
END:VCALENDAR