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DTSTART;TZID=America/New_York:20230410T110000
DTEND;TZID=America/New_York:20230410T120000
DTSTAMP:20260404T200153
CREATED:20230331T154400Z
LAST-MODIFIED:20230331T154400Z
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SUMMARY:ESE Spring Seminar - "Towards Scalable Multi-User Wireless Networking in mmWave and Terahertz Spectrum"
DESCRIPTION:Millimeter-wave and terahertz bands are emerging as the most promising spectrum to meet the data-rate and latency demands of future wireless applications\, including virtual reality and autonomous cars. Moreover\, the large spectral availability together with the mm-scale wavelength\, opens the opportunity of scaling the capacity of future wireless networks by supporting highly directional\, high data rate multi-user transmission and reception. My research builds a foundation for scalable multi-user wireless systems in such high-frequency regimes yielding a paradigm shift in the design and development of future wireless systems. In this talk\, I will begin by presenting emerging transceiver architecture that can enable directional sub-THz steering without traditional multi-antenna arrays. I will discuss how to exploit the key characteristics of sub-THz signals and the proposed architecture to enable the first scalable single-shot single-antenna multi-user system in THz bands with angularly dispersive links that are robust to client and environmental mobility. By exploiting electro-magnetics of antenna to protocol design\, signal processing\, and end-to-end system design with analytical model-driven evaluations and over-the-air experiments\, I will show how the multi-user performance of an angularly dispersive THz link fundamentally depends on frequency\, angle\, and bandwidth utilized by users\, through non-linear mechanisms and achieving close to Tb/s aggregate data rates using just a single-element antenna link. I will then discuss the opportunities offered by this platform to enhance next-generation communication and sensing capabilities in unprecedented ways. In particular\, we tackle the mobility\, blockage\, and scalability challenges of highly directional wireless networks by efficiently adapting steering direction for mobile users. Finally\, I will share several research directions in wireless networking\, sensing\, and security in mmWave and THz networks that I would like to pursue in the future.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-towards-scalable-multi-user-wireless-networking-in-mmwave-and-terahertz-spectrum/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230410T140000
DTEND;TZID=America/New_York:20230410T160000
DTSTAMP:20260404T200153
CREATED:20230323T152539Z
LAST-MODIFIED:20230323T152539Z
UID:10007526-1681135200-1681142400@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Fibrillar Collagen Modulation of Extracellular Matrix Structure and Organization Following Tendon Injury" (Jaclyn Carlson)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Louis Soslowsky are pleased to announce the Doctoral Dissertation Defense of Jaclyn Carlson. \nTitle: Fibrillar Collagen Modulation of Extracellular Matrix Structure and Organization Following Tendon Injury \nDate: April 10\, 2023\nTime: 2pm\nLocation: CRB\, Austrian Auditorium \nZoom Link: https://upenn.zoom.us/j/97931643342 \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-fibrillar-collagen-modulation-of-extracellular-matrix-structure-and-organization-following-tendon-injury-jaclyn-carlson/
LOCATION:CRB Auditorium\, 415 Curie Boulevard\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230411T100000
DTEND;TZID=America/New_York:20230411T113000
DTSTAMP:20260404T200153
CREATED:20230331T202642Z
LAST-MODIFIED:20230331T202642Z
UID:10007538-1681207200-1681212600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Mechanically Guided Assembly of Complex 3D Mesostructures and Shape-Programmable Surfaces"
DESCRIPTION:The development of approaches to design and manufacture complex 3D functional mesoscopic structures in advanced materials is a topic of increasing research interest. Previous options in forming 3D mesostructures are\, however\, constrained by a narrow accessible range of materials or 3D geometries. In this talk\, I will first introduce a versatile\, mechanical approach to deterministically assemble sophisticated 3D mesoscale structures\, guided by mechanics analysis\, from planar 2D structures through controlled compressive buckling. To enhance the geometric diversity and functionality of 3D mesostructures\, various mechanics-guided design strategies\, for both the 2D precursor structures and the supporting substrates\, will be demonstrated. Based on this mechanical assembly approach\, many unique opportunities for 3D bio-integrated functional systems exist\, for example\, 3D multifunctional neural interfaces for cortical spheroids and 3D artificial microvascular networks. Precisely defined 3D geometries and deterministically distributed functional components through well-defined volumetric spaces\, for unconventional approaches to neuromodulation\, sensing\, and regulation\, highlight the design versatility driven by mechanics analysis. I will also briefly present a soft\, shape-programmable system that exploits liquid metal microfluidic networks embedded in an elastomer matrix\, with electromagnetic forms of actuation\, to achieve a unique set of properties. Key features include fast and continuous surface shape morphing and reprogramming with access to a diverse set of 3D shapes originating from a single 2D planar configuration and well-controlled 4D (spatiotemporal) electronic programmability. Mechanics methods capable of precisely predicting complex 3D surface shape transformations in non-uniform magnetic fields serve as the design tool for various 3D target shapes.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-mechanically-guided-assembly-of-complex-3d-mesostructures-and-shape-programmable-surfaces/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230412T120000
DTEND;TZID=America/New_York:20230412T133000
DTSTAMP:20260404T200153
CREATED:20230222T155035Z
LAST-MODIFIED:20230222T155035Z
UID:10007492-1681300800-1681306200@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: Machine Learning: A Data-Centric Perspective\, Aleksander Madry (Massachusetts Institute of Technology)
DESCRIPTION:ABSTRACT: \nThe training data that modern machine learning models ingest has a major impact on these models’ performance (as well as failures). Yet\, this impact tends to be neither fully appreciated nor understood at a fine-grained enough level. \nIn this talk\, we will discuss some of the key ways in which training data influences not only what but also how models “learn” as well as tools to dissect this influence. In particular\, we will present a new framework—called datamodeling—for directly casting predictions as functions of training data and the corresponding model class. This framework enables us to perform a range of model class-driven data analysis\, including discovery of subpopulations\, quantifying brittleness of model predictions\, and diagnosing other shortcomings of the training set.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-aleksander-madry-massachusetts-institute-of-technology-2/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230412T150000
DTEND;TZID=America/New_York:20230412T160000
DTSTAMP:20260404T200153
CREATED:20230404T180310Z
LAST-MODIFIED:20230404T180310Z
UID:10007541-1681311600-1681315200@seasevents.nmsdev7.com
SUMMARY:Spring 2023 GRASP SFI: Wenzhong Yan\, UCLA\, "Mechanical Intelligence for Compliant Robots"
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. This week’s presenter will be in-person as well. \nABSTRACT\nBiological systems with deformable bodies exhibit remarkable abilities. However\, compliant/soft robots still can not match the capabilities of their biological analogs in terms of adaptability\, physical robustness\, and autonomy partially due to the reliance on rigid\, bulky silicon-based electronics. My research aims to address this challenge by creating self-sustained\, autonomous soft machines through Mechanical Intelligence (MI) — embedding necessary functionalities into compliant materials and structures — with minimal or even no silicon-based electronics. The resulting material-like soft robots can behave like biological organisms\, obtaining energy from the ambiance\, moving on various terrains\, and surviving extreme conditions\, which may find applications in environment monitoring\, rescue\, exploration\, human-machine interaction\, education\, etc. \nIn this talk\, I will demonstrate the power of MI by achieving locomotion and autonomous interaction with the environment of soft robots in compliant origami materials and structures with high robustness to adversarial events\, e.g.\, radiation and physical deformation. Firstly\, I will show how to realize self-sustained oscillation by incorporating bistable mechanisms and conductive artificial muscles without discrete components or electronic control hardware. This oscillation can be used to generate locomotion for robots with only constant electrical power. Then\, I will present an efficient method to rapidly design such oscillators from desired behavioral specifications\, i.e. frequency. This method provides a powerful tool for facilitating the modeling\, designing\, and prototyping of such complicated dynamic compound systems. I will also introduce a method to achieve complete sense-decide-act loops in compliant materials for autonomous interaction with environments\, demonstrated with several robots. I will close my talk with a preview of how to use MI to improve adaptability and convert/harvest environmental energy to power robots\, toward achieving my ultimate goal of creating self-sustained soft robots to allow their widespread deployment into complex\, extreme environments to perform challenging tasks.
URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-sfi-wenzhong-yan/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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:20230412T170000
DTEND;TZID=America/New_York:20230412T190000
DTSTAMP:20260404T200153
CREATED:20230404T222408Z
LAST-MODIFIED:20230404T222408Z
UID:10007542-1681318800-1681326000@seasevents.nmsdev7.com
SUMMARY:Seminar: Accelerating Clean Energy Technologies: Pathways to Commercial Liftoff
DESCRIPTION:Wednesday\, April 12\, 2023\n5:00 PM\nWu and Chen Auditorium\n\n\nAnna Siefken\nDepartment of Energy\nOffice of Technology Transitions\n\n\nPresident Biden’s Bipartisan Infrastructure Law and Inflation Reduction Act provided DOE billions of dollars to invest in and support large-scale demonstration and deployment of clean energy technologies over the next decade. These historic investments are intended to drive commercialization and unlock trillions in private investment to set the nation on a course to hit critical long-term decarbonization objectives while creating high quality American jobs\, strengthening domestic supply chains and global competitiveness\, and facilitating an equitable energy transition. By 2030\, DOE reports that cumulative investments must increase from approximately $40 billion to $300 billion across the hydrogen\, nuclear\, long duration energy storage\, and carbon management sectors. DOE’s Office of Technology Transitions (OTT) is responsible for technology commercialization and engagement with the business and industrial\nsectors across the United States.\n\nOn March 8\, 2023\, the DOE announced a Partnership with the Edison Electric Institute\, the Electric Power Research Institute (EPRI) and the Long Duration Energy Storage Council to support the development and domestic manufacture of long-duration energy storage (LDES) technologies that can meet all U.S. market demands by 2030 with the goal of reducing the cost of grid-scale energy storage by 90% for systems that deliver 10+ hours of duration. With input from industry\, investors\, academics\, and other stakeholders\, the OTT prepared “Liftoff Reports” for emerging clean energy technologies which provide constant updates on market conditions\, technology advances\, governance issues\, and community concerns. DOE also encourages direct public input\, which can be submitted via email to liftoff@hq.doe.gov.\nReception to follow sponsored by the Environmental Innovations Initiative.\n\nSeminar Flyer
URL:https://seasevents.nmsdev7.com/event/seminar-accelerating-clean-energy-technologies-pathways-to-commercial-liftoff/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230413T103000
DTEND;TZID=America/New_York:20230413T120000
DTSTAMP:20260404T200153
CREATED:20230306T170753Z
LAST-MODIFIED:20230306T170753Z
UID:10007506-1681381800-1681387200@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "'Low Dimensional' Rare-Earth-Free Permanent Magnetic Materials" (University of California\, Riverside)
DESCRIPTION:Critical elements such as rare-earth (RE) metals that are subject to supply risks and are incorporated in critical materials\, play a central role in the function of these materials. They dictate the properties that control the function of critical materials\, including both molecules and materials\, used in a broad range of technologically important and energy relevant properties such as superconductivity\, magnetism\, quantum phenomena\, light generation\, magnetocaloric behavior\, and catalytic activity. It is of high importance to the Department of Energy (DOE) to enable the discovery and design of alternatives to critical materials that reduce or eliminate the need for critical elements. In this seminar\, I will present our recent research focused on “designing” new quasi low-dimensional rare-earth-free magnetic materials\, and new van-der-Waals (vdW) crystals showing both high Curie temperatures and large magnetic anisotropy as well as efficient spin-orbit torque.  Furthermore\, I will present a new reaction developed in our group that enables the synthesis of some of these materials at the nanoscale\, a major step toward fulfilling their huge potential.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-low-dimensional-rare-earth-free-permanent-magnetic-materials-university-of-california-riverside/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230413T151500
DTEND;TZID=America/New_York:20230413T170000
DTSTAMP:20260404T200153
CREATED:20230412T144606Z
LAST-MODIFIED:20230412T144606Z
UID:10007545-1681398900-1681405200@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: “Generation of Chimeric Antigen Receptor Macrophages to Target Pathogenic Protein Aggregates in Alzheimer’s Disease” (Matias Porras Paniagua)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Drs. Saar Gill & Frederick Bennett are pleased to announce the Doctoral Dissertation Defense of Matias Porras Paniagua.\n\nTitle: Generation of Chimeric Antigen Receptor Macrophages to Target Pathogenic Protein Aggregates in Alzheimer’s Disease\nDate: April 13\, 2023\nTime: 3:15pm\nLocation: Smillow Center for Translational Medicine: SCTR 11-146AB\nOptional Zoom Link: https://upenn.zoom.us/j/96832299770\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-generation-of-chimeric-antigen-receptor-macrophages-to-target-pathogenic-protein-aggregates-in-alzheimers-disease-matias-porras-paniagua/
LOCATION:Smilow Center for Translational Research in SCTR 11-146AB
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230413T153000
DTEND;TZID=America/New_York:20230413T163000
DTSTAMP:20260404T200153
CREATED:20221220T152311Z
LAST-MODIFIED:20221220T152311Z
UID:10007393-1681399800-1681403400@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "MAPing Principles and Applications to Endogenous Repair" (Tatiana Segura\, Duke University)
DESCRIPTION:This seminar will be held in person in Glandt Forum; snacks will be served. \n“MAPing Principles and Applications to Endogenous Repair” \nMicroporous annealed particle (MAP) scaffolds are materials composed of hydrogel microparticle (HMP) building blocks. Thus\, rather than use polymers as the building block that form the hydrogel\, we use particles. This makes MAP scaffolds granular materials\, which open unique properties such as inner porosity\, exterior porosity\, injectability\, and heterogeneity. We have found that these properties make MAP uniquely suited for applications in tissue regeneration applications. We have found that simple changes in the MAP composition can have dramatic changes in the immune response to the material and subsequent regenerative healing response. This talk will cover the concept of MAP\, software that we have developed to understand MAP microstructure\, and some of our findings that relate the immune response and regenerative healing.
URL:https://seasevents.nmsdev7.com/event/be-seminar-tatiana-segura-duke-university/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230413T153000
DTEND;TZID=America/New_York:20230413T170000
DTSTAMP:20260404T200153
CREATED:20230202T205431Z
LAST-MODIFIED:20230202T205431Z
UID:10007452-1681399800-1681405200@seasevents.nmsdev7.com
SUMMARY:Spring 2023 GRASP on Robotics: Luca Carlone\, MIT\, “Next-Generation Robot Perception: Hierarchical Representations\, Certifiable Algorithms\, and Self-Supervised Learning”
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. This week’s presenter will be in-person as well.  \n  \nABSTRACT\nSpatial perception —the robot’s ability to sense and understand the surrounding environment— is a key enabler for robot navigation\, manipulation\, and human-robot interaction. Recent advances in perception algorithms and systems have enabled robots to create large-scale geometric maps of unknown environments and detect objects of interest. Despite these advances\, a large gap still separates robot and human perception: Humans are able to quickly form a holistic representation of the scene that encompasses both geometric and semantic aspects\, are robust to a broad range of perceptual conditions\, and are able to learn without low-level supervision. This talk discusses recent efforts to bridge these gaps. First\, we show that scalable metric-semantic scene understanding requires hierarchical representations; these hierarchical representations\, or 3D scene graphs\, are key to efficient storage and inference\, and enable real-time perception algorithms. Second\, we discuss progress in the design of certifiable algorithms for robust estimation; in particular we discuss the notion of “estimation contracts”\, which provide first-of-a-kind performance guarantees for estimation problems arising in robot perception. Finally\, we observe that certification and self-supervision are twin challenges\, and the design of certifiable perception algorithms enables a natural self-supervised learning scheme; we apply this insight to 3D object pose estimation and present self-supervised algorithms that perform on par with state-of-the-art\, fully supervised methods\, while not requiring manual 3D annotations.
URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-on-robotics-luca-carlone/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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:20230414T140000
DTEND;TZID=America/New_York:20230414T150000
DTSTAMP:20260404T200153
CREATED:20230404T172332Z
LAST-MODIFIED:20230404T172332Z
UID:10007540-1681480800-1681484400@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Bridging scales in aerosol modeling with particle-resolved simulations"
DESCRIPTION:The aerosol lifecycle consists of processes that act on the micro-scale\, yet the aerosols’ climate impacts are perceived on regional or global scales. Capturing this multiscale nature of the atmospheric aerosol poses considerable challenges for aerosol models since computational constraints limit the detail of aerosol representation\, yet these details matter in determining large-scale aerosol impacts. This presentation will illustrate how high-detail\, particle-resolved simulations can serve as a bridge between scales in aerosol modeling. The particle-resolved approach represents the aerosol using individual computational particles that evolve in size and composition as they undergo aging processes in the atmosphere. While computationally expensive\, this approach is therefore not limited by assumptions about particle composition within a given size range and can represent the full aerosol mixing state. My presentation will show how this modeling approach\, leveraged by machine learning\, can efficiently bridge from the process scale to the global scale. I will present a summary of our knowledge to what extent simplifying the diversity of aerosol composition introduces errors in our estimates of cloud condensation nuclei concentration and aerosol optical properties. I’ll conclude by highlighting the unique measurement challenges that we face in constraining these models but that provide an unprecedented opportunity in “getting the right answer for the right reasons.”
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-bridging-scales-in-aerosol-modeling-with-particle-resolved-simulations/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
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