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DTSTART;TZID=America/New_York:20201215T120000
DTEND;TZID=America/New_York:20201215T130000
DTSTAMP:20260407T151911
CREATED:20201208T163504Z
LAST-MODIFIED:20201208T163504Z
UID:10006565-1608033600-1608037200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Learning is Pruning"
DESCRIPTION:The strong lottery ticket hypothesis (LTH) postulates that any neural network can be approximated by simply pruning a sufficiently larger network of random weights. Recent work establishes that the strong LTH is true if the random network to be pruned is a large poly-factor wider than the target one. This polynomial over-parameterization is at odds with experimental research that achieves good approximation by pruning networks that are only a small factor wider than the target one. In this talk\, I will tell you how we close this gap and offer an exponential improvement to the over-parameterization requirement. I will give a sketch of the proof that any target network can be approximated by pruning a random one that is only a logarithmic factor wider. This is possible by establishing a connection between pruning random ReLU networks and random instances of the weakly NP-hard SubsetSum problem. Our work indicates the existence of a universal striking phenomenon: neural network training is equivalent to pruning slightly overparameterized networks of random weights. I will conclude with sharing hints of a general framework indicating the existence of good pruned networks for a variety of activation functions\, architectures\, even applicable for the case where both initialization weights and activations are binary.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-learning-is-pruning/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201210T110000
DTEND;TZID=America/New_York:20201210T120000
DTSTAMP:20260407T151911
CREATED:20201118T214105Z
LAST-MODIFIED:20201118T214105Z
UID:10006548-1607598000-1607601600@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "The Role of Explicit Regularization in Overparameterized Neural Networks"
DESCRIPTION:Overparameterized neural networks have proved to be remarkably successful in many complex tasks such as image classification and deep reinforcement learning. In this talk\, we will consider the role of explicit regularization in training overparameterized neural networks. Specifically\, we consider ReLU networks and show that the landscape of commonly used regularized loss functions have the property that every local minimum has good memorization and regularization performance. Joint work with Shiyu Liang and Ruoyu Sun.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-the-role-of-explicit-regularization-in-overparameterized-neural-networks/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201210T104500
DTEND;TZID=America/New_York:20201210T114500
DTSTAMP:20260407T151911
CREATED:20200828T161336Z
LAST-MODIFIED:20200828T161336Z
UID:10006460-1607597100-1607600700@seasevents.nmsdev7.com
SUMMARY:MSE Graduate Student Seminar
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-graduate-student-seminar/
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201210T100000
DTEND;TZID=America/New_York:20201210T120000
DTSTAMP:20260407T151911
CREATED:20201204T190653Z
LAST-MODIFIED:20201204T190653Z
UID:10006557-1607594400-1607601600@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense  | Integrin crosstalk in the upstream migration of CD4+ T lymphocytes
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-integrin-crosstalk-in-the-upstream-migration-of-cd4-t-lymphocytes/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201209T150000
DTEND;TZID=America/New_York:20201209T160000
DTSTAMP:20260407T151911
CREATED:20200917T001220Z
LAST-MODIFIED:20200917T001220Z
UID:10006503-1607526000-1607529600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Bio-inspired Pathways to Manipulating Architecture and Mechanics in Polymeric Materials"
DESCRIPTION:Abstract\n \nFiber constructs are prevalent in natural systems\, from collagen fiber networks in tendon to tough\, spider silk fibers. Recent innovations in multilayer co-extrusion technology have translated to the fabrication of melt-extruded fiber-reinforced composites\, reminiscent of the nanoscale features of the Brown Recluse Spider. Distinct advantages of this modular approach over other traditional techniques include scalability\, environmentally-friendly conditions\, and the ability to obtain cross-sectional dimensions on the nanoscale. Here\, we describe the mechanics and structural features of biologically-relevant\, reinforced hydrogels via an in situ approach. This manufacturing strategy allows for strategic control of hydrogel architecture\, fiber (single component and blends) alignment and loading\, and compressive stability and stiffness. Promising results related to cell adherence and growth\, and controlled degradation rates\, are highlighted for these extruded hydrogel scaffolds. \nSupramolecular interactions may hold the key to the development of elastomers with a tailored elastic response and improved mechanics\, such as observed in the muscle protein titin and polychaete worm jaw. It is the dynamic nature of the supramolecular interaction that we have exploited in the design of tough supramolecular elastomers that superimpose covalent and non-covalent interactions to tailor tensile response. In this research\, concepts of interfacial control of self-assembly\, composition\, and dynamics as it relates to mechanical behavior are examined. Supramolecular blends\, nanocomposites and interpenetrating networks have been investigated to achieve gradient mechanics\, shape memory response\, and bilayer actuation. These systems show promise in smart coating applications and for the development of functional polymer blends.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-bio-inspired-pathways-to-manipulating-architecture-and-mechanics-in-polymeric-materials/
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:20201208T103000
DTEND;TZID=America/New_York:20201208T120000
DTSTAMP:20260407T151911
CREATED:20201124T222847Z
LAST-MODIFIED:20201124T222847Z
UID:10006552-1607423400-1607428800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Bridging Physical Models and Observational Data with Physics-informed Deep Learning"
DESCRIPTION:Physical models of many natural and engineered systems are\, at best\, only partially known; a common setting under which classical analytical or computational tools inevitably face challenges and introduce many sources of uncertainty. Therefore\, observational data plays a crucial role\, yet our ability to collect them far outpaces our ability to sensibly assimilate it\, let alone understand it. Despite their towering empirical success\, machine learning approaches are not currently able to extract interpretable information and knowledge from this data deluge. Moreover\, purely data-driven methods may fit observations very well\, but predictions may be physically inconsistent or implausible\, due to extrapolation or observational biases\, for example. In this talk we will discuss the foundations of a new family of machine learning methods coined as physics-informed neural networks\, that aim to seamlessly bridge this gap by synthesizing incomplete physics-based models with imperfect observational data. Specifically\, we will illustrate the mechanisms by which deep neural networks can be constrained to respect fundamental laws of physics\, but also highlight certain pathologies and limitations that arise during this process. Strikingly\, some of the latter can be addressed by exploring connections to classical methods in numerical analysis and optimization\, opening the path to designing more principled algorithms and deep learning architectures that do not simply rely on guesswork. Finally\, we will demonstrate the power of these methods across a range of diverse engineering applications\, including problems in design optimization\, heat transfer\, wave propagation\, cardiovascular fluid mechanics\, and modeling of COVID-19 spread dynamics.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-bridging-physical-models-and-observational-data-with-physics-informed-deep-learning/
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:20201207T120000
DTEND;TZID=America/New_York:20201207T130000
DTSTAMP:20260407T151911
CREATED:20200908T172016Z
LAST-MODIFIED:20200908T172016Z
UID:10006485-1607342400-1607346000@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: “Interplay of receptor tyrosine kinase activation at the cell surface and environmental mechanics” (Shalini Low-Nam)
DESCRIPTION:“Interplay of receptor tyrosine kinase activation at the cell surface and environmental mechanics” \nPhysical Sciences in Oncology Center PSOC@Penn \nFall 2020 Webinar Series Mondays @ Noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-interplay-of-receptor-tyrosine-kinase-activation-at-the-cell-surface-and-environmental-mechanics-shalini-low-nam/
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201204T140000
DTEND;TZID=America/New_York:20201204T150000
DTSTAMP:20260407T151911
CREATED:20201104T134517Z
LAST-MODIFIED:20201104T134517Z
UID:10006538-1607090400-1607094000@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Swarming bacteria as novel active biomaterials – insights into the collective mechanics\, particle transport and morphological adaptation in swarming bacteria from in-silico experiments"
DESCRIPTION:Abstract: Flagellated and motile bacteria\, in isolation or in coexistence with fungi\, are implicated in about two-thirds of human infections. During infection\, and generally even in relatively benign situations\, bacteria may colonize surfaces via a process called swarming – a form of rapid translocation associated with changes in cell phenotype.  As swarmer cells move rapidly\, they interact with each other forming cohesive structures that then rapidly develop into collective multicellular aggregates.  Understanding the swarming process is important for biomedicine\, and is relevant  to evolutional biology – in\, for instance\, understanding the evolution of phylogenetic spatial structures in bacterial populations. On a complementary note\, understanding the biophysical and mechanical aspects of swarming can provide insights into synthesizing the next generation of adaptable matter.    \nWhile comprised of independently cells\, swarms exhibit collective properties and remarkable emergent flow patterns. Recent work supports treating these collective systems as novel living biomaterials with evolving composite properties. In this talk\, I will discuss how the combination of key experimental discoveries combined with multi-scale simulations enables careful interrogation\, analysis and understanding of microbial swarms and films. The experimental component of the talk will highlight experimental observations on swarming Serratia marcescens\, a rod-shaped gram negative bacterium. Following that\, I will discuss recent work on a suite of computational approaches that we exploit to simulate these active systems. Our approaches include agent-based full-hydrodynamics simulations\, adaptations of Active Brownian Particle (ABP) stochastic models\, and mean-field continuum models solved using parallellized level-set methods on high resolution and highly adaptive Quadtree meshes.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-swarming-bacteria-as-novel-active-biomaterials-insights-into-the-collective-mechanics-particle-transport-and-morphological-adaptation-in-swarming-bacteria-from-in-silico/
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201201T150000
DTEND;TZID=America/New_York:20201201T170000
DTSTAMP:20260407T151911
CREATED:20201112T184204Z
LAST-MODIFIED:20201112T184204Z
UID:10006545-1606834800-1606842000@seasevents.nmsdev7.com
SUMMARY:Doctoral Dissertation: "Biomechanical & Biochemical Contributions of Matrix Metalloproteinases in Joint Pain: Models\, Mechanisms & Patients"
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Beth Winkelstein are pleased to announce the Doctoral Dissertation Defense of Meagan Ita.  \nTitle: “Biomechanical & Biochemical Contributions of Matrix Metalloproteinases in Joint Pain: Models\, Mechanisms & Patients”\n\nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/92269228349\nMeeting ID: 922 6922 8349
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-biomechanical-biochemical-contributions-of-matrix-metalloproteinases-in-joint-pain-models-mechanisms-patients/
CATEGORIES:Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201201T150000
DTEND;TZID=America/New_York:20201201T160000
DTSTAMP:20260407T151911
CREATED:20201119T193735Z
LAST-MODIFIED:20201119T193735Z
UID:10006551-1606834800-1606838400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Challenges of Incorporating Algorithms into Decision Making: Fairness\, Welfare and Disparate Interactions"
DESCRIPTION:Algorithms have entered the center of many decision making processes\, either by providing predictions or assessments to facilitate human decision making or\, in some scenarios\, suggesting decisions directly. More and more attention has been placed to ensure algorithms satisfy some desirable notion of fairness\, which is an important step forward. In this talk\, I will discuss the importance of examining algorithmic decision-making and algorithm-facilitated decision making in the broader context of intended applications and in the lens of human-algorithm interactions. I will first present a welfare-based analysis of fair classification algorithms to assess the welfare impact of fairness-constrained classification algorithms in the context of financial lending. Our analysis shows that applying stricter  fairness constraints in the algorithms can worsen welfare outcomes of all groups. Then\, I’ll discuss a sequence of controlled human-subject experiments studying how the interactions between people and algorithms influence human decision making. In our experiments in two contexts (pretrial release and financial lending)\, when presented with algorithmic risk assessments\, participants exhibited additional bias in their decisions and showed a change in their decision-making process by increasing risk aversion.\n\nThis talk is based on joint works with Lily Hu and Ben Green.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-challenges-of-incorporating-algorithms-into-decision-making-fairness-welfare-and-disparate-interactions/
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:20201201T103000
DTEND;TZID=America/New_York:20201201T120000
DTSTAMP:20260407T151911
CREATED:20200831T152121Z
LAST-MODIFIED:20200831T152121Z
UID:10006465-1606818600-1606824000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: “'Smart' Biodegradable Polymer at Nano and Micro Scales for Medical Applications"
DESCRIPTION:The ability to transform medical polymers\, commonly used for resorbable surgical sutures\, into desired 3D forms/shapes/structures at nano and micro scales with “smart” functions\, while sustaining the materials’ excellent biocompatibility and biodegradability\, provides significant applications in different biomedical fields\, ranging from tissue engineering and controlled drug/vaccine delivery to medical devices. Here\, I will present our recent research works to create 3D microstructures of biodegradable polymers for developing single-administered vaccines\, and convert the biopolymers into “smart” piezoelectric nanomaterials\, which can generate electricity under deformation and vice versa\, offering a variety of exciting applications in biodegradable force sensors\, tissue-engineering scaffolds and medical transducers.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-smart-biodegradable-polymer-at-nano-and-micro-scales-for-medical-applications/
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:20201130T120000
DTEND;TZID=America/New_York:20201130T130000
DTSTAMP:20260407T151911
CREATED:20200908T171754Z
LAST-MODIFIED:20200908T171754Z
UID:10006484-1606737600-1606741200@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: Alexandra Zidovska
DESCRIPTION:Talk title TBC \nPhysical Sciences in Oncology Center PSOC@Penn \nFall 2020 Webinar Series Mondays @ Noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-alexandra-zidovska/
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201124T120000
DTEND;TZID=America/New_York:20201124T130000
DTSTAMP:20260407T151911
CREATED:20201119T155901Z
LAST-MODIFIED:20201119T155901Z
UID:10006550-1606219200-1606222800@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Quantum Dot Plasmon Nanolasers"
DESCRIPTION:Miniaturized light sources are critical for next-generation on-chip photonic devices. Plasmon-based\nlasers and surface plasmon amplified spontaneous emission of radiation (spasers) have received\nsignificant attention since their prediction over a decay over a decade ago. Major advances have\nincluded subwavelength footprint sizes\, room-temperature operation\, far-field emission\ndirectionality\, and understanding of the lasing mechanism. Notably\, one simple architectural design\nfor the plasmonic lasing cavity—nanoparticle lattices—has emerged as a powerful platform to\nachieve exquisite control over the coherent light. This talk will describe a nanolaser design based on\ncolloidal CdSe-CdS core-shell quantum dots (QDs) conformally coated on two-dimensional arrays of\nAg nanoparticles. These QD-plasmon lasers can show directional emission by exploiting high\nsymmetry points in the lattices and tailorable polarization patterns depending on the QD film\nthickness. We will discuss prospects for achieving any desired lasing emission angle from these\nroom-temperature hybrid nanolasers.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-teri-odom/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201123T140000
DTEND;TZID=America/New_York:20201123T160000
DTSTAMP:20260407T151911
CREATED:20201119T155011Z
LAST-MODIFIED:20201119T155011Z
UID:10006549-1606140000-1606147200@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation: "Machine Learning for the Diagnosis of Lung Disease" (W. David Lindsay)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Jim Gee are pleased to announce the Doctoral Dissertation Defense of W. David Lindsay. The public is welcome to attend the defense. Please join at the following Zoom link: https://us02web.zoom.us/j/84714430902
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-machine-learning-for-the-diagnosis-of-lung-disease-w-david-lindsay/
CATEGORIES:Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201123T120000
DTEND;TZID=America/New_York:20201123T130000
DTSTAMP:20260407T151911
CREATED:20200908T171545Z
LAST-MODIFIED:20200908T171545Z
UID:10006483-1606132800-1606136400@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: “Mesenchymal progenitor cells and fat tissue remodeling" (Patrick Seale)
DESCRIPTION:“Mesenchymal progenitor cells and fat tissue remodeling” \nPhysical Sciences in Oncology Center PSOC@Penn \nFall 2020 Webinar Series Mondays @ Noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-mesenchymal-progenitor-cells-and-fat-tissue-remodeling-patrick-seale/
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201120T140000
DTEND;TZID=America/New_York:20201120T150000
DTSTAMP:20260407T151911
CREATED:20201110T132115Z
LAST-MODIFIED:20201110T132115Z
UID:10006531-1605880800-1605884400@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Designing energy conversion materials with ab-initio and active machine learning computations of electron-phonon and ion dynamics"
DESCRIPTION:Abstract: Accurate atomistic computations of transport and reaction dynamics are an important challenge and an opportunity for designing materials for energy conversion and storage. In the context of thermoelectric materials\, we develop new automatable computational methods for describing electron-phonon scattering dynamics. By predicting electrical transport properties\, we computationally discovered several new low-cost thermoelectric alloys with record device performance. In the context of solid-state batteries\, computations of ionic transport reveal how strong ionic interactions lead to disorder and surprising collective phenomena in amorphous polymer electrolyte materials and enable us to design new electrolyte chemistries. \nHigh-fidelity ab-initio simulations of atomistic dynamics are limited to small systems and short times\, and development of surrogate machine learning models for force fields is an emerging promising direction to access long-time large-scale dynamics of complex materials systems. However\, the main challenges are high accuracy\, reliability\, and computational efficiency of these models\, which critically depend on the training data sets. We develop ML interatomic potential models that are interpretable and uncertainty-aware\, and orders of magnitude faster than reference quantum methods. Principled uncertainty quantification built into these models enables the construction of autonomous data acquisition schemes using active learning. We demonstrate on-the-fly learning of machine learning force fields and use them to gain insights into previously inaccessible physical and chemical phenomena in ion conductors\, catalytic surface reactions\, 2D materials phase transformations\, and shape memory alloys.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-designing-energy-conversion-materials-with-ab-initio-and-active-machine-learning-computations-of-electron-phonon-and-ion-dynamics/
LOCATION:Zoom – email kathom@seas.upenn.edu
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201120T120000
DTEND;TZID=America/New_York:20201120T130000
DTSTAMP:20260407T151911
CREATED:20201111T191453Z
LAST-MODIFIED:20201111T191453Z
UID:10006547-1605873600-1605877200@seasevents.nmsdev7.com
SUMMARY:SIG Seminar:"Behavior Modeling using Data from Games"
DESCRIPTION:Behavior modeling is an important area of research as it severs many applications and disciplines; it expands on our knowledge of human behavior as well as allows us to develop novel AI entities that adapts to its users or mimics them. This area of research is by definition interdisciplinary and has stimulated interest from multiple funding organizations. In the past few years\, games have emerged as a new platform with large context-rich data that has the utility to advance behavior modeling. In particular\, recently there has been much work investigating the use of MOBA games\, such as League of Legends and Dota\, and Massively Multiplayer games\, such as Eve Online\, for this purpose. Even though there are many exciting new results\, the current techniques and methods for modeling player behaviors within these environments are still in their infancy. In this talk\, I will discuss our current work towards developing a methodological platform to develop player models that leverages and builds on current theory and data-driven techniques\, including machine learning and visualization methods.
URL:https://seasevents.nmsdev7.com/event/sig-seminarbehavior-modeling-using-data-from-games/
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:20201119T150000
DTEND;TZID=America/New_York:20201119T160000
DTSTAMP:20260407T151911
CREATED:20200709T143802Z
LAST-MODIFIED:20200709T143802Z
UID:10006442-1605798000-1605801600@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Emerging Technologies for Detection of Early Stage Bladder Cancer" (Audrey Bowden)
DESCRIPTION:This event will held virtually on zoom. Check email for the link or contact ksas@seas.upenn.edu. \nBladder cancer (BC) —  the 4th most common cancer in men and the most expensive cancer to treat over a patient’s lifetime — is a lifelong burden to BC patients and a significant economic burden to the U.S. healthcare system. The high cost of BC stems largely from its high recurrence rate (>50%); hence\, BC management involves frequent surveillance. Unfortunately\, the current in-office standard-of-care tool for BC surveillance\, white light cystoscopy (WLC)\, is limited by low sensitivity and specificity for carcinoma in situ (CIS)\, a high-grade carcinoma with high potential to metastasize. Early detection and complete eradication of CIS are critical to improve treatment outcomes and to minimize recurrence. The most promising macroscopic technique to improve sensitivity to CIS detection\, blue light cystoscopy (BLC)\, is costly\, time-intensive\, has low availability and a high false-positive rate. Given the limitations of WLC\, we aim to change the paradigm around how BC surveillance is performed by validating new tools with high sensitivity and specificity for CIS that are appropriate for in-office use. In this seminar\, I discuss our innovative solutions to improve mapping the bladder for longitudinal tracking of suspicious lesions and to create miniature tools for optical detection based on optical coherence tomography (OCT). OCT and its functional variant\, cross-polarized OCT\, can detect early-stage BC with better sensitivity and specificity than WLC. We discuss the critical technical innovations necessary to make OCT and CP-OCT a practical tool for in-office use\, and new results from recent explorations of human bladder samples that speak to the promise of this approach to change the management of patient care.
URL:https://seasevents.nmsdev7.com/event/be-seminar-4/
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201119T130000
DTEND;TZID=America/New_York:20201119T150000
DTSTAMP:20260407T151911
CREATED:20201027T132719Z
LAST-MODIFIED:20201027T132719Z
UID:10006532-1605790800-1605798000@seasevents.nmsdev7.com
SUMMARY:Doctoral Dissertation Defense: "High throughput Identification of Rare Cell Population by Functional Phenotyping" (Syung Hun Han)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Drs.  Daeyeon Lee and Junhyong Kim and are pleased to announce the Doctoral Dissertation Defense of Syung Hun Han.  The public is welcome to attend on November 19th at 1pm via the zoom link provided below.\n\nTitle: “High throughput Identification of Rare Cell Population by Functional Phenotyping”\n\nTime: Nov 19\, 2020 01:00 PM Eastern Time (US and Canada) \nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/6433136894?pwd=NDh2M2xaYjhIVTJsczVnQ3l4QVdJUT09 \nMeeting ID: 643 313 6894\nPasscode: 1234\nOne tap mobile\n+13462487799\,\,6433136894# US (Houston)\n+12532158782\,\,6433136894# US (Tacoma) \nDial by your location\n+1 346 248 7799 US (Houston)\n+1 253 215 8782 US (Tacoma)\n+1 669 900 9128 US (San Jose)\n+1 312 626 6799 US (Chicago)\n+1 646 558 8656 US (New York)\n+1 301 715 8592 US (Germantown)\nMeeting ID: 643 313 6894\nFind your local number: https://upenn.zoom.us/u/abUcOYZD0X \nJoin by SIP\n6433136894@zoomcrc.com \nJoin by H.323\n162.255.37.11 (US West)\n162.255.36.11 (US East)\n115.114.131.7 (India Mumbai)\n115.114.115.7 (India Hyderabad)\n213.19.144.110 (Amsterdam Netherlands)\n213.244.140.110 (Germany)\n103.122.166.55 (Australia)\n64.211.144.160 (Brazil)\n69.174.57.160 (Canada)\n207.226.132.110 (Japan)\nMeeting ID: 643 313 6894\nPasscode: 1234
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-defense-high-throughput-identification-of-rare-cell-population-by-functional-phenotyping-syung-hun-han/
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201119T104500
DTEND;TZID=America/New_York:20201119T104500
DTSTAMP:20260407T151911
CREATED:20200828T161150Z
LAST-MODIFIED:20200828T161150Z
UID:10006459-1605782700-1605782700@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Interface Engineering in Nanoceramics"
DESCRIPTION:Details forthcoming.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-interface-engineering-in-nanoceramics-ill-discuss-how-interfacial-thermodynamics-influences-nanostructure-growth-sintering-and-mechanics-while-offering-design-opportunities/
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201118T150000
DTEND;TZID=America/New_York:20201118T170000
DTSTAMP:20260407T151911
CREATED:20201008T212049Z
LAST-MODIFIED:20201008T212049Z
UID:10006522-1605711600-1605718800@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense | 3D Porous High Areal Capacity Lithium-ion Micro-Batteries Enabled by Electrochemical Techniques
DESCRIPTION:Abstract: \nThis study involves design and fabrication of scalable\, high surface area\, and porous 3D metal network-based Li-ion micro-batteries with energy and power that meet the demands of commercial microelectronics. A facile high current hydrogen-templated electroplating technique is utilized to generate 3D structures millimeter scale in z-direction through a facile route\, which serve as the scaffolds and current collectors for battery electrodes. A solid polymer electrolyte or gel electrolyte was utilized to increase stability and safety of the energy storage device. Areal capacity high as 30 mAh/cm 2 with stable cycling performance has been demonstrated on the half-cell level\, which can be attributed to the high surface area and low tortuosity from the porous electrodes.
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-chenpeng-huang-3d-porous-high-areal-capacity-lithium-ion-micro-batteries-enabled-by-electrochemical-techniques/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Seminar,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201118T130000
DTEND;TZID=America/New_York:20201118T140000
DTSTAMP:20260407T151911
CREATED:20201028T193953Z
LAST-MODIFIED:20201028T193953Z
UID:10006534-1605704400-1605708000@seasevents.nmsdev7.com
SUMMARY:Neuroengineering/BE Seminar: “Photovoltaic Restoration of Sight in Age-related Macular Degeneration” (Daniel Palanker)
DESCRIPTION:Presented by The Center for Neuroengineering and Therapeutics Presents and The Bioengineering Department. \nCheck email for zoom link or Everett Prince at eprince@seas.upenn.edu. \nRetinal degenerative diseases lead to blindness due to loss of the “image capturing” photoreceptors\, while neurons in the “image-processing” inner retinal layers are relatively well preserved. Information can be reintroduced into the visual system using electrical stimulation of the surviving inner retinal neurons. We developed a photovoltaic substitute of photoreceptors which convert light into pulsed electric current\, stimulating the secondary retinal neurons. Visual information captured by a\ncamera is projected onto the retina from augmented-reality glasses using pulsed near-infrared (~880nm) light. This design avoids the use of bulky electronics and wiring\, thereby greatly reducing the surgical complexity. Optical activation of the photovoltaic pixels allows scaling the number of electrodes to thousands. In preclinical studies\, we found that prosthetic vision with subretinal implants\npreserves many features of natural vision\, including flicker fusion at high frequencies (>30 Hz)\, adaptation to static images\, antagonistic center-surround organization and non-linear\nsummation of subunits in receptive fields\, providing high spatial resolution. Results of the clinical\ntrial with our implants (PRIMA\, Pixium Vision) having 100μm pixels\, as well as preclinical\nmeasurements with 75 and 55μm pixels\, confirm that spatial resolution of prosthetic vision can\nreach the pixel pitch. Remarkably\, central prosthetic vision in AMD patients can be perceived\nsimultaneously with peripheral natural vision. For broader acceptance of this technology by patients who lost central vision due to agerelated macular degeneration\, visual acuity should exceed 20/100\, which requires pixels smaller than 25μm. I will describe the fundamental limitations in electro-neural interfaces and 3-dimensional configurations which should enable such a high spatial resolution. Ease of\nimplantation of these wireless arrays\, combined with high resolution opens the door to highly functional restoration of sight.
URL:https://seasevents.nmsdev7.com/event/neuroengineering-be-seminar-photovoltaic-restoration-of-sight-in-age-related-macular-degeneration-daniel-palanker/
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T160000
DTEND;TZID=America/New_York:20201117T170000
DTSTAMP:20260407T151911
CREATED:20200709T143100Z
LAST-MODIFIED:20200709T143100Z
UID:10006441-1605628800-1605632400@seasevents.nmsdev7.com
SUMMARY:Immunology/BE Seminar: “Engineering Next-Generation CAR-T Cells for Cancer Immunotherapy” (Yvonne Chen)
DESCRIPTION:This event is part of the Penn Institute for Immunology Colloquium seminar series and is co-hosted by the Department of Bioengineering. This virtual event will be held on Bluejeans. \nAttend the live seminar via this link. Or download the Bluejeans app and and enter ID: wxbzgity \nContact ifiadmin@pennmedicine.upenn.edu with any questions. \nThe adoptive transfer of T cells expressing chimeric antigen receptors (CARs) has demonstrated clinical efficacy in the treatment of advanced cancers\, with anti-CD19 CAR-T cells achieving up to 90% complete remission among patients with relapsed B-cell malignancies. However\, challenges such as antigen escape and immunosuppression limit the long-term efficacy of adoptive T-cell therapy. Here\, I will discuss the development of next-generation T cells that can target multiple cancer antigens and resist immunosuppression\, thereby increasing the robustness of therapeutic T cells against tumor defense mechanisms. Specifically\, I will discuss the development of multi-input receptors and T cells that can interrogate intracellular antigens. I will also discuss the engineering of T cells that can effectively convert TGF-beta from a potent immunosuppressive cytokine into a T-cell stimulant. This presentation will highlight the potential of synthetic biology in generating novel mammalian cell systems with multifunctional outputs for therapeutic applications.
URL:https://seasevents.nmsdev7.com/event/immunology-be-seminar-engineering-next-generation-car-t-cells-for-cancer-immunotherapy/
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T110000
DTEND;TZID=America/New_York:20201117T120000
DTSTAMP:20260407T151911
CREATED:20201110T205644Z
LAST-MODIFIED:20201110T205644Z
UID:10006546-1605610800-1605614400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "A New Era of Open-Source System-on-Chip Design"
DESCRIPTION:Open-source software has been a critical enabler for tremendous innovation in the software ecosystem over the past two decades. Inspired by this success\, open-source hardware involves making the high-level description of hardware components freely available for others to study\, change\, distribute\, and ultimately use in fabricating their own hardware components. Unfortunately\, open-source hardware has had a relatively bleak history and has yet to offer the same kind of transformative impact in the hardware ecosystem. At the same time\, emerging applications in visual computing\, data science\, and machine learning are demanding more performance with less resources motivating an increasing need for accelerator-centric system-on-chip (SoC) design. We need hardware startups to drive the next phase of software/hardware innovation\, and hardware startups need open-source hardware. \nIn this talk\, I will briefly discuss some recent trends in open-source electronic design automation\, instruction set design\, and component development that suggest we may be entering a new era of open-source SoC design. I will then describe two projects in my own research group that concretely illustrate these trends. In the first part of the talk\, I will discuss PyMTL\, a new framework which leverages Python to create a domain-specific embedded language for hardware modeling\, generation\, simulation\, and verification. PyMTL has the potential to improve the productivity and quality of open-source hardware design. In the second part of this talk\, I will discuss the Celerity SoC\, a 5x5mm 385M-transistor chip in TSMC 16nm designed and implemented by a team of students and faculty from UC San Diego\, University of Michigan\, and Cornell as part of the DARPA CRAFT program. The chip went from PDK access to tapeout in just nine months largely owing to extensive use of open-source hardware. My talk concludes with a call-to-action for the academic community to make open-source hardware a centerpiece of their activities. Academics have a practical and ethical motivation for using\, developing\, and promoting open-source electronic design automation tools and open-source hardware designs. We should be leaders in this new era of open-source system-on-chip design.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-a-new-era-of-open-source-system-on-chip-design/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T103000
DTEND;TZID=America/New_York:20201117T120000
DTSTAMP:20260407T151911
CREATED:20201103T210901Z
LAST-MODIFIED:20201103T210901Z
UID:10006537-1605609000-1605614400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Bilevel Optimization for Control\, Learning\, and Multi-contact Robotics"
DESCRIPTION:Whether operating in a manufacturing plant or assisting within the home\, many robotic tasks requires safe and controlled interaction with a complex and changing world. In this talk\, I will present our recent progress on learning and control in contact rich settings. In the first segment\, I will show how integrating the non-smooth structure of contact dynamics into a learning framework can dramatically improve accuracy and data efficiency when identifying or learning frictional dynamics. Our approach leads to a well-conditioned bilevel optimization problem\, avoiding the numerical stiffness and inaccuracies that plague traditional approaches. In the second part of this talk\, I will focus on the role of simple\, low-dimensional models used in real-time planning for walking robots. Hand-engineered models\, typically based in inverted pendulums\, are widely used but lead to fundamental limitations on performance. Our recent work\, leveraging trajectory optimization within bilevel optimization\, to automatically synthesize simple models designed to succeed across a space of tasks. Time-permitting\, I will also discuss our work on using bilinear matrix inequalities to leverage tactile feedback within provably stable control policies.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-bilevel-optimization-for-control-learning-and-multi-contact-robotics/
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:20201116T120000
DTEND;TZID=America/New_York:20201116T130000
DTSTAMP:20260407T151911
CREATED:20200908T171241Z
LAST-MODIFIED:20200908T171241Z
UID:10006482-1605528000-1605531600@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: “Visualizing Cancer Biology: From Single Molecules to Systems" (Xiolin Nan)
DESCRIPTION:“Visualizing Cancer Biology: From Single Molecules to Systems” \nPhysical Sciences in Oncology Center PSOC@Penn \nFall 2020 Webinar Series Mondays @ Noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-visualizing-cancer-biology-from-single-molecules-to-systems-xiolin-nan/
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201113T150000
DTEND;TZID=America/New_York:20201113T160000
DTSTAMP:20260407T151911
CREATED:20201030T171328Z
LAST-MODIFIED:20201030T171328Z
UID:10006535-1605279600-1605283200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: “All-Passive Hardware Architectures for Neuromorphic Computation”
DESCRIPTION:Human brains demonstrate how simple computational primitives can be combined in massively parallel ways to produce networks capable of identifying complicated patterns in sensory data. In contrast\, electronic computers adopt hardware architectures that process information serially\, leading to higher latency and power consumption when implementing intrinsically parallel algorithms\, such as neural networks. This software-hardware architectural mismatch has acquired greater attention due to the widespread adoption of large neural networks and has encouraged the prospect of specialized neuromorphic computers. There is great interest in low latency analog neuromorphic designs that utilize passive crossbar arrays to accomplish the dual tasks of storing synaptic weights and computing dot products. Although this compute-in-memory paradigm promises high circuit density and 3D integrability\, prevalent implementations combine them with crossbar-incompatible CMOS neurons\, a paring that impedes overall system scalability. This thesis addresses the scalability bottleneck by evolving fully crossbar – compatible neuromorphic architectures based on passive circuit embodiments of neuron and synapses. \nWe demonstrate via SPICE circuit simulations how a shallow network of diode-resistor based passive neurons and resistive voltage summers\, despite its inherent inability to buffer\, amplify and invert signals\, can recognize MNIST digits with 95.4% accuracy. We introduce weight-to-conductance mappings that enable resource-efficient implementation of negative weights. The performance impacts of nanoscale defects are evaluated and methods to boost fault-tolerance are proposed. Compared with conventional implementations\, we find all-passive neuromorphic hardware promise higher speed\, smaller footprints\, and improved vertical scalability.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-all-passive-hardware-architectures-for-neuromorphic-computation/
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:20201113T100000
DTEND;TZID=America/New_York:20201113T110000
DTSTAMP:20260407T151911
CREATED:20201104T195026Z
LAST-MODIFIED:20201104T195026Z
UID:10006542-1605261600-1605265200@seasevents.nmsdev7.com
SUMMARY:SIG Seminar:"From Bits to Bricks – Bridging Building Energy Modeling and Simulation with Graphics"
DESCRIPTION:Computer graphics is often used to visualize complex imagery for the\nfilm and game industries\, however\, computer graphics can also be used\nto solve a diverse set of transdisciplinary problems. In this talk\, I\nwill introduce research that bridges building energy modeling and\nsimulation and computer graphics. Buildings are a leading contributor\nto total energy consumption in the United States –responsible for\nover 48 percent of the total energy use in our country. Architecture\,\nengineering\, and construction (AEC) is currently a 10 trillion dollar\nindustry and one of the top consumers of raw materials. I’ll talk\nabout our recent projects that focus on modeling and simulating\nresponsive architecture and approaches to retrofitting through\nnumerical modeling and simulation to provide collaboration tools to\nthe design process. I will introduce our first principle physics-based\napproach to energy and light simulation that produces more informed\ndesign choices to architects and engineers and show how computer\ngraphics has been formalized to conduct basic research in building\nscience. The design\, analysis\, and construction of sustainable\nbuildings require an unprecedented degree of technical sophistication\nthat demands a new transdisciplinary synthesis of engineering\,\narchitecture\, and social science.
URL:https://seasevents.nmsdev7.com/event/sig-seminarfrom-bits-to-bricks-bridging-building-energy-modeling-and-simulation-with-graphics/
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:20201112T150000
DTEND;TZID=America/New_York:20201112T160000
DTSTAMP:20260407T151911
CREATED:20201104T193734Z
LAST-MODIFIED:20201104T193734Z
UID:10006541-1605193200-1605196800@seasevents.nmsdev7.com
SUMMARY:CIS Grace Hopper Distinguished Lecture:"Video Data Management: From Data Models to Data Storage and Benchmarking."
DESCRIPTION:The proliferation of inexpensive high-quality cameras coupled with recent advances in machine learning and computer vision have enabled new applications on video data. This in turn has renewed interest in video data management systems. In this talk\, we explore several challenges related to video data management. We start by discussing data models. How should we expose video data to make it queryable by applications? We look in particular at the case of 360-degree videos. Second\, we explore components of video data storage. How can we store videos in a way that makes them efficiently queryable? Finally\, we discuss the problem of benchmarking video data management systems.
URL:https://seasevents.nmsdev7.com/event/cis-grace-hopper-distinguished-lecturevideo-data-management-from-data-models-to-data-storage-and-benchmarking/
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:20201112T133000
DTEND;TZID=America/New_York:20201112T143000
DTSTAMP:20260407T151911
CREATED:20201105T143141Z
LAST-MODIFIED:20201105T143141Z
UID:10006543-1605187800-1605191400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "How to Make Your Ocean Smarter"
DESCRIPTION:Our oceans drive worldwide weather-climate systems; our rivers serve as nutrient conduits; and our marine ecosystems house the largest repository of biodiversity and mineral resources on the planet. Humans have relied on rivers\, lakes\, and oceans for transportation\, energy generation\, farming\, and recreation throughout our history. And today\, robots are critical tools in our stewardship of these resources. However\, there are significant autonomy challenges when working in dynamic and uncertain environments like oceans and rivers. Robot dynamics are tightly coupled to those of the environment\, while communication and localization are limited. \nControl under these conditions can be exacting\, but environmental dynamics may be harnessed to plan energy efficient paths and to maintain network connectivity. Networked robot teams can collect data to construct high fidelity models of the environmental dynamics which can be integrated into robot control and planning. Those same models can be used to guide robot control and sampling strategies to increase their predictive power. In this talk\, I will present our vision of a smart ocean observational framework to improve forecasting of weather-climate systems\, mitigation of contaminant dispersions\, and coordination of maritime search and rescue and humanitarian efforts.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-how-to-make-your-ocean-smarter/
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
END:VCALENDAR