BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Penn Engineering Events X-ORIGINAL-URL:https://seasevents.nmsdev7.com X-WR-CALDESC:Events for Penn Engineering Events REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20221209T103000 DTEND;TZID=America/New_York:20221209T114500 DTSTAMP:20260405T161038 CREATED:20221121T165149Z LAST-MODIFIED:20221121T165149Z UID:10007368-1670581800-1670586300@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP on Robotics: David Fouhey\, University of Michigan\, "Understanding the Physical World from Images" DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \n  \nABSTRACT\nIf I show you a photo of a place you have never been to\, you can easily imagine what you could do in that picture. Your understanding goes from the surfaces you see to the ones you do not\, like parts that are hidden behind furniture. Your understanding even enables reasoning about how the scene could be if someone interacted with it\, for instance by opening a cabinet. My research aims to give computers this same level of physical understanding. I believe that this physical understanding will be critical for autonomous agents\, as well as for enabling new insights in research fields that vision does not often interact with: progress on many problems across the sciences and humanities can be accelerated by being able to robustly measure some quantity at scale.\n\nMy talk will show my research group’s work towards the goal of understanding the physical world from images. I will first show how we can reconstruct 3D scenes\, including invisible surfaces\, from a single RGB image. We have developed an approach that learns to predict a scene-scale implicit function using realistic 3D supervision that can be gathered by consumers or robots instead of by using artist-created watertight 3D assets. After showing reconstructions of our system in everyday scenarios\, I will talk about how measuring the world can unlock new insights in science\, from millimeter-sized bird bones to solar physics data where a pixel is a few hundred miles wide. I will conclude by showing work towards understanding how humans can interact with objects\, including work on understanding hands and the objects they hold. URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-on-robotics-david-fouhey-university-of-michigan/ 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:20221208T153000 DTEND;TZID=America/New_York:20221208T163000 DTSTAMP:20260405T161038 CREATED:20221130T145836Z LAST-MODIFIED:20221130T145836Z UID:10007377-1670513400-1670517000@seasevents.nmsdev7.com SUMMARY:CIS Seminar: " Exploring the role of scientific machine learning in electric power system decarbonization" DESCRIPTION:Electric power systems lie at the heart of efforts to mitigate and adapt to the effects of climate change.  Mitigation requires shifting electricity generation away from carbon-emitting technologies toward zero carbon sources such as wind and solar generation\, and converting energy end uses like transportation and space conditioning to use that electricity.  Adaptation requires designing electricity infrastructure to withstand extreme weather conditions\, including heat waves\, hurricanes\, and wildfire.  Computing and data sit at the heart of planning for these changes so that they are cost effective and reliable.  This talk will survey three challenges in this space\, namely\, (i) ensuring power system stability in the face of massive changes in generation infrastructure\, (ii) exploring the scope of infrastructure change required to reliably serve millions of electrified cars and buildings and (iii) quantifying the risk of wildfire caused by millions of pieces of electricity infrastructure\, and the risk reduction achieved by a suite of possible upgrades to that infrastructure.  In the course of the survey\, the talk will discuss how machine learning tools — including state of the art scientific machine learning principles — can be brought to bear on these problems. URL:https://seasevents.nmsdev7.com/event/cis-seminar-exploring-the-role-of-scientific-machine-learning-in-electric-power-system-decarbonization/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221208T153000 DTEND;TZID=America/New_York:20221208T163000 DTSTAMP:20260405T161038 CREATED:20220812T145835Z LAST-MODIFIED:20220812T145835Z UID:10007227-1670513400-1670517000@seasevents.nmsdev7.com SUMMARY:Grace Hopper Distinguished Lecture: "How Memory Guides Value-Based Decisions" (Daphna Shohamy\, Columbia University) DESCRIPTION:This distinguished lecture will be a hybrid event held in the Glandt Forum (Singh Center) and via Zoom. A light reception will follow the live lecture. \nZoom link \nPasscode: 704696 \n“How Memory Guides Value-Based Decisions” \nFrom robots to humans\, the ability to learn from experience turns a rigid response system into a flexible\, adaptive one. In the past several decades\, major advances have been made in understanding how humans and other animals learn from experience to make decisions. However\, most of this progress has focused on rather simple forms of stimulus-response learning\, such as automatic responses or habits. In this talk\, I will turn to consider how past experience guides more complex decisions\, such as those requiring flexible reasoning\, inference\, and deliberation. Across a range of behavioral contexts\, I will demonstrate a critical role for memory in such decisions and will discuss how multiple brain regions interact to support learning\, what this means for how memories are used\, and the consequences for how decisions are made. Uncovering the pervasive role of memory in decision-making challenges the way we think about what memory is for\, suggesting that memory’s primary purpose may be to guide future behavior and that storing a record of the past is just one way to do so. \nIn support of its educational mission of promoting the role of all engineers in society\, the School of Engineering and Applied Science presents the Grace Hopper Lecture Series. This series is intended to serve the dual purpose of recognizing successful women in engineering and of inspiring students to achieve at the highest level. Grace Hopper is a wonderful example of a visionary in her field who exhibited the type of pioneering spirit that is an inspiration to all of us. \nIn support of the accomplishments of women in engineering\, departments within the School invite a prominent speaker to campus for a visit that incorporates a public lecture\, various mini-talks and opportunities to interact with students and faculty. This series provides another avenue for recognition of distinguished leaders in engineering and presents role models that help remind all of us why we chose this profession. URL:https://seasevents.nmsdev7.com/event/grace-hopper-distinguished-lecture-daphna-shohamy-columbia-university/ LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar,Distinguished Lecture ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221208T150000 DTEND;TZID=America/New_York:20221208T160000 DTSTAMP:20260405T161038 CREATED:20221128T163811Z LAST-MODIFIED:20221128T163811Z UID:10007373-1670511600-1670515200@seasevents.nmsdev7.com SUMMARY:MEAM Ph.D. Thesis Defense: "An Aquatic Underactuated Modular Self-Reconfigurable Robotic System for Information-Limited Navigation in Gyre-Like Flows" DESCRIPTION:Aquatic modular self-reconfigurable robotic systems (MSRRs) have incredible potential for bringing practical\, flexible\, and adaptable robotic tools to challenging environments. They could build mobile ocean platforms or bridges for larger vehicles\, act as ocean-going manipulators to perform repairs on infrastructure\, or function as oceanographic research platforms\, using reconfiguration to achieve precise spatial resolution when sensing or to improve energy efficiency when traveling over large distances. \nDevelopment of aquatic MSRRs\, however\, is limited by the assumption that modules need to be capable of holonomic actuation\, which makes them complex and expensive. This work challenges this limitation\, presenting a novel underactuated aquatic robot called the Modboat that uses a single motor and passive flippers for propulsion and steering\, and developing a capable aquatic MSRR that can dock\, undock\, reconfigure\, and move as a collective using Modboats as its modules. \nAquatic systems are further limited because conventional techniques assume that full flow models are needed to use ocean currents for navigation. Such flow models are rarely available\, so practical deployments are limited to high thrust and energy-capacity systems. This dissertation challenges this assumption\, demonstrating that limited knowledge of ocean gyres can be used for energy-efficient navigation even by low-thrust systems\, and that this navigation can significantly expand the operational range of energy-limited robotic systems. Modboat modules are used to verify these results as an example underactuated and low-power robot. URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-an-aquatic-underactuated-modular-self-reconfigurable-robotic-system-for-information-limited-navigation-in-gyre-like-flows/ LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Doctoral,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:20221208T123000 DTEND;TZID=America/New_York:20221208T133000 DTSTAMP:20260405T161038 CREATED:20221205T134221Z LAST-MODIFIED:20221205T134221Z UID:10007379-1670502600-1670506200@seasevents.nmsdev7.com SUMMARY:ESE Fall Colloquium - "On compression of\, for\, and with neural networks" DESCRIPTION:Data compression is enjoying a renaissance fueled by an unprecedented growth in both the amount of data being generated and our reliance on powerful computation. At its heart is an increasingly intricate interplay between compression\, artificial neural networks\, and (our) biological neural networks. I will survey some related research in which I have been involved\, and conclude with thoughts about future research. URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-on-compression-of-for-and-with-neural-networks/ LOCATION:Zoom – Meeting ID 971 2264 9281 CATEGORIES:Colloquium ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221208T103000 DTEND;TZID=America/New_York:20221208T113000 DTSTAMP:20260405T161038 CREATED:20221128T221750Z LAST-MODIFIED:20221128T221750Z UID:10007375-1670495400-1670499000@seasevents.nmsdev7.com SUMMARY:MSE Seminar: “Compressibility of Nanoconfined Fluids: Relating Atomistic Modeling to Ultrasonic Experiments” DESCRIPTION:Fluids confined in nanopores are ubiquitous in nature and technology. In recent years\, the interest in confined fluids has grown\, driven by research on unconventional hydrocarbon resources — shale gas and shale oil\, much of which are confined in nanopores. When fluids are confined in nanopores\, many of their properties differ from those of the same fluid in the bulk. These properties include density\, freezing point\, transport coefficients\, thermal expansion coefficient\, and\, as it was shown recently [1]\, elastic properties. \nThe elastic modulus of a fluid confined in the pores contribute to the overall elasticity of the fluid-saturated porous medium and determine the speed at which elastic waves traverse through the medium. In this talk I will show how elastic modulus of a confined fluid in a nanopore can be calculated based on Monte Carlo and molecular dynamics simulations and illustrate it with calculations for various fluids [2]. Additionally\, I will present our recent experimental measurements of elastic properties of water confined in nanoporous glass samples. Our results suggest that some of the models widely used for describing elasticity of fluid-saturated porous solids need to be revised [3]. \n[1] Dobrzanski\, C. D.; Gurevich\, B.; Gor\, G. Y. “Elastic Properties of Confined Fluids from Molecular Modeling to Ultrasonic Experiments on Porous Solids” Appl. Phys. Rev. 2021\, 8\, 021317\, DOI: 10.1063/5.0024114\n[2] Maximov\, M. A.; Gor\, G. Y. “Molecular Simulations Shed Light on Potential Uses of Ultrasound in Nitrogen Adsorption Experiments” Langmuir 2018\, 34(51)\, 15650-15657\, DOI: 10.1021/acs.langmuir.8b02909\n[3] Gor\, G. Y.; Gurevich\, B. “Gassmann Theory Applies to Nanoporous Media” Geophys. Res. Lett.\, 2018\, 45(1)\, 146-155\, DOI: 10.1002/2017GL075321 URL:https://seasevents.nmsdev7.com/event/mse-seminar-compressibility-of-nanoconfined-fluids-relating-atomistic-modeling-to-ultrasonic-experiments/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Symposium ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221207T153000 DTEND;TZID=America/New_York:20221207T163000 DTSTAMP:20260405T161038 CREATED:20220909T200108Z LAST-MODIFIED:20220909T200108Z UID:10007279-1670427000-1670430600@seasevents.nmsdev7.com SUMMARY:CBE Seminar Series: "Flexible Protein Networks in Membrane Biology and Medicine" (Jeanne Stachowiak) DESCRIPTION: URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-flexible-protein-networks-in-membrane-biology-and-medicine-jeanne-stachowiak/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221207T150000 DTEND;TZID=America/New_York:20221207T160000 DTSTAMP:20260405T161038 CREATED:20221202T154005Z LAST-MODIFIED:20221202T154005Z UID:10007378-1670425200-1670428800@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP SFI: Harold Soh\, National University of Singapore\, "Towards Trustworthy Robots that Interact with People" DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \nABSTRACT\nWhat will it take to develop robots that work with us in real-world tasks? In this talk\, we’ll discuss some of our work across the autonomy stack of a robot as we make progress towards an answer. We’ll begin with multi-modal sensing and perception\, and then move on to modeling humans with little data. We’ll end with the primary insights gained in our journey and  a discussion of challenges in deriving robots that we trust to operate in social environments. URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-harold-soh-national-university-of-singapore/ LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States 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:20221206T100000 DTEND;TZID=America/New_York:20221206T113000 DTSTAMP:20260405T161038 CREATED:20221122T191122Z LAST-MODIFIED:20221122T191122Z UID:10007372-1670320800-1670326200@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Nonlinear Mechanical Behavior of Kirigami-inspired Architected Materials" DESCRIPTION:As 3D printing and other advanced manufacturing techniques have become more common\, it is increasingly possible to produce structures with nearly arbitrary internal geometric and compositional features\, opening up vast new design space for engineers. In this work\, we consider a kirigami-inspired\, flexible architected material comprising rotating squares joined at their vertices. The rotational degrees of freedom result in significant structural compliance due to the large internal rotations of the squares. While the static properties of these structures (such as their auxetic characteristics) have been studied extensively\, much less work has been done on their dynamic properties\, especially nonlinear dynamic properties induced by large movement of internal components. Here\, we examine the nonlinear static and dynamic responses of these systems\, including the propagation of vector solitons and transition waves\, and collisions of these nonlinear waves. Finally\, we discuss how stimuli-responsive materials can be integrated with the nonlinearities of kirigami-inspired architected materials to enable autonomous behaviors\, including movement and control of trajectory\, as well as mechanical computing\, which enables “information processing” to be treated as a material property. URL:https://seasevents.nmsdev7.com/event/meam-seminar-nonlinear-mechanical-behavior-of-kirigami-inspired-architected-materials/ 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:20221202T140000 DTEND;TZID=America/New_York:20221202T150000 DTSTAMP:20260405T161038 CREATED:20221114T193221Z LAST-MODIFIED:20221114T193221Z UID:10007363-1669989600-1669993200@seasevents.nmsdev7.com SUMMARY:PICS Seminar: "A Non-local Plasticity Model for Porous Metals with Deformation-induced Anisotropy: Mathematical and Computational Issues" DESCRIPTION:A non-local (gradient) plasticity model for porous metals that accounts for deformation-induced anisotropy is presented. The model is based on the work of Ponte Castañeda and co-workers on porous materials containing randomly distributed ellipsoidal voids. It takes into account the evolution of porosity and the evolution/development of anisotropy due to changes in the shape and the orientation of the voids during plastic deformation. A “material length” λ is introduced and a “non-local” porosity is defined from the solution of a modified Helmholtz equation with appropriate boundary conditions. At a material point located at x \, the non-local porosity f (x) \, can be identified with the average value of the “local” porosity floc (x) over a sphere of radius 3Rλ centered at x. \nThe same approach is used to formulate a non-local version of the Gurson isotropic model. The mathematical character of the resulting incremental elastoplastic partial differential equations of the non-local model is analyzed. It is shown that the hardening modulus of the non-local model is always larger than the corresponding hardening modulus of the local model; therefore\, the non-local incremental problem retains its elliptic character\, and the possibility of discontinuous solutions is eliminated. A rate-dependent version of the non-local model is also developed. \nAn algorithm for the numerical integration of the non-local constitutive equations is developed\, and the numerical implementation of the boundary value problem in a finite element environment is discussed. An analytical method for the required calculation of the eigenvectors of symmetric second-order tensors is presented. The non-local model is implemented in ABAQUS via a material “user subroutine” (UMAT or VUMAT) and the coupled thermo-mechanical solution procedure\, in which temperature is identified with the non-local porosity. Several example problems are solved numerically and the effects of the non-local formulation on the solution are discussed. In particular\, the problems of plastic flow localization in plane strain tension\, the plane strain mode-I blunt crack tip under small-scale-yielding conditions\, the cup-and-cone fracture of a round bar\, and the Charpy V-notch test specimen are analyzed. URL:https://seasevents.nmsdev7.com/event/pics-seminar-a-non-local-plasticity-model-for-porous-metals-with-deformation-induced-anisotropy-mathematical-and-computational-issues/ LOCATION:Zoom – Email MEAM for Link\, peterlit@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:20221202T133000 DTEND;TZID=America/New_York:20221202T150000 DTSTAMP:20260405T161038 CREATED:20221121T203034Z LAST-MODIFIED:20221121T203034Z UID:10007369-1669987800-1669993200@seasevents.nmsdev7.com SUMMARY:CEMB Seminar: "Bungee jumping into chromosome instability in human cancer\," Yamini Dalal\, NCI/NIH DESCRIPTION:This seminar will be held in person (LRSM 112C) and virtually (https://upenn.zoom.us/j/98620440148).  URL:https://seasevents.nmsdev7.com/event/cemb-seminar-bungee-jumping-into-chromosome-instability-in-human-cancer-yamini-dalal-nci-nih/ LOCATION:LRSM 112C\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States ORGANIZER;CN="Center for Engineering MechanoBiology (CEMB)":MAILTO:annjeong@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221202T103000 DTEND;TZID=America/New_York:20221202T114500 DTSTAMP:20260405T161038 CREATED:20220812T172041Z LAST-MODIFIED:20220812T172041Z UID:10007228-1669977000-1669981500@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP on Robotics: Matthew Johnson-Roberson\, Carnegie Mellon University\, “Lessons from the Field: Deep Learning and Machine Perception for field robots” DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \n  \nABSTRACT\nMobile robots now deliver vast amounts of sensor data from large unstructured environments. In attempting to process and interpret this data there are many unique challenges in bridging the gap between prerecorded data sets and the field. This talk will present recent work addressing the application of machine learning techniques to mobile robotic perception. We will discuss solutions to the assessment of risk in self-driving vehicles\, thermal cameras for object detection and mapping and finally object detection and grasping and manipulation in underwater contexts. Real field data will guide this process and we will show results on deployed field robotic vehicles. URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-matthew-johnson-roberson-carnegie-mellon-university/ 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:20221201T153000 DTEND;TZID=America/New_York:20221201T163000 DTSTAMP:20260405T161038 CREATED:20221118T144736Z LAST-MODIFIED:20221118T144736Z UID:10007367-1669908600-1669912200@seasevents.nmsdev7.com SUMMARY:BE Seminar: "Cellular and Acellular Strategies for Heart and Lung Repair" (Ke Cheng\, UNC/NCSU) DESCRIPTION:This is a hybrid seminar: Check email for the zoom link and passcode. \n“Cellular and Acellular Strategies for Heart and Lung Repair” \nTherapeutic tissue regeneration using stem cells has been hampered by the controversial identity of resident stem cells\, low cell retention/engraftment\, tumorigenecity and immunogenicity issues. Taking a bioengineering/biomaterials approach\, this lecture will introduce the uses of drug delivery and biomaterials strategies to generate more potent cell therapies for heart and lung diseases. In addition\, a pharmacoengineering approach is taken to refine cell therapies by developing acelluar therapeutics such as stem cell-derived secretome and exosomes in the setting of heart and lung regeneration. This lecture will also mention a couple of stories in translating bench research into IND-enabled clinical trials on cell-based therapies. URL:https://seasevents.nmsdev7.com/event/be-seminar-ke-cheng-north-carolina-state-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:20221201T140000 DTEND;TZID=America/New_York:20221201T150000 DTSTAMP:20260405T161038 CREATED:20221128T183804Z LAST-MODIFIED:20221128T183804Z UID:10007374-1669903200-1669906800@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP Seminar: Ankit Shah\, Brown University\, "Training Robots Like Apprentices" DESCRIPTION:*This is a HYBRID Event with in-person attendance in Levine 307 and virtual attendance via Zoom. \nABSTRACT\nDomains such as high-mix manufacturing\, domestic robotics\, space exploration\, etc.\, are key areas of interest for robotics. Yet\, the difficulty of anticipating the role of robots in these domains is a crucial hurdle for the adoption of robots. Developing robots that can be re-programmed easily during deployment by domain experts without requiring extensive programming knowledge\, or in other words robotic apprentices that learn from experts will drive the next wave of robotics adoption. \nIn this talk\, I present a multi-modal Bayesian framework for teaching a robot learner to identify the teacher’s intended task from natural teaching modalities such as demonstrations\, and acceptability assessments of the execution. The framework centers on using formal languages such as LTL to model the task specification\, and using probabilistic reasoning to reason about the ambiguity in natural teaching modalities. Utilizing the Bayesian framework\, we can teach the robot the task specifications from demonstrations\, and the robot models its updated belief over specifications as a distribution of logical formulas. We propose Planning with Uncertain Specifications (PUnS)\, a novel framework to reason about the uncertainty of task specifications while computing the robot policy. We also demonstrate how using formal languages along with active learning can help the robot refine its belief efficiently. Finally we demonstrate how the temporal abstractions afforded by temporal logics in particular can help the robot learn to reuse policies from one task to accomplish other closely related tasks without any additional learning. URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-seminar-ankit-shah-brown-university-training-robots-like-apprentices/ 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:20221201T103000 DTEND;TZID=America/New_York:20221201T113000 DTSTAMP:20260405T161038 CREATED:20221121T213505Z LAST-MODIFIED:20221121T213505Z UID:10007370-1669890600-1669894200@seasevents.nmsdev7.com SUMMARY:MSE Seminar: “Biomineralogical Signatures of Pathlogical Mineralization” DESCRIPTION:Pathological calcification is a wide-spread phenomenon in the human body\, in which calcium minerals form in soft tissues and are found in both healthy and diseased tissues. One example are microcalcifications (MCs)\, which are primarily biological apatite and occur in cancerous and benign breast pathologies. MCs are key mammographic indicators\, however\, little is known about their materials properties and associated organic matrix\, or their correlation to breast cancer prognosis. Outside the clinic\, numerous microcalcification compositional metrics (e.g.\, carbonate and metal content) are linked to malignancy\, yet microcalcification formation is dependent on microenvironmental conditions\, which are notoriously heterogeneous in breast cancer. We have interrogated multiscale heterogeneity in calcifications from over 20 breast cancer patients. Employing an omics-inspired approach\, for each microcalcification we define a “biomineralogical signature” combining metrics derived from Raman microscopy and energy dispersive spectroscopy. We observe that 1) calcifications cluster into physiologically relevant groups reflecting tissue type and local malignancy; 2) carbonate content exhibits substantial intratumor heterogeneity; 3) trace metals including zinc\, iron\, and aluminum\, are enhanced in malignant-localized calcifications; 4) the lipid-to-protein ratio within calcifications is lower in patients with poorer prognosis\, suggesting that expanding diagnostic metrics to include “mineral-entrapped” organic material may hold prognostic promise.  This multimodal methodology lays the groundwork for establishing MC heterogeneity in the context of breast cancer biology\, and has the potential to be applied to other pathological minerals\, as well as in vitro models of mineralization. URL:https://seasevents.nmsdev7.com/event/mse-seminar-biomineralogical-signatures-of-pathlogical-mineralization/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221130T153000 DTEND;TZID=America/New_York:20221130T163000 DTSTAMP:20260405T161038 CREATED:20220909T200012Z LAST-MODIFIED:20220909T200012Z UID:10007278-1669822200-1669825800@seasevents.nmsdev7.com SUMMARY:CBE Seminar Series: "Interfacial Transport Processes with Computations at Different Scales" (Dimitrios V. Papavassiliou\, The University of Oklahoma) DESCRIPTION: URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-interfacial-transport-processes-with-computations-at-different-scales-dimitrios-v-papavassiliou-the-university-of-oklahoma/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221130T150000 DTEND;TZID=America/New_York:20221130T161500 DTSTAMP:20260405T161038 CREATED:20221114T143505Z LAST-MODIFIED:20221114T143505Z UID:10007360-1669820400-1669824900@seasevents.nmsdev7.com SUMMARY:ESE 2022 Jack Keil Wolf Lecture - "Sustaining the Semiconductor Revolution: Challenges and Opportunities" DESCRIPTION:Advancements in semiconductor integrated circuit (IC) “chip” technology over the past 60+ years have enabled exponential growth in chip functionality with exponential reduction in cost per transistor\, resulting in the proliferation of information and communication devices and systems\, with revolutionary impact on society; today cloud computing\, big data and artificial intelligence are driving the digital transformation of all industries. As fundamental limits approach for transistor miniaturization\, alternative\, more innovative approaches to improving chip performance will be needed. In this talk I will give some examples of such approaches and discuss opportunities to collaborate in diversifying talent development pathways to meet the growing innovation and workforce development needs of the U.S. semiconductor microelectronics industry\, spurred by the CHIPS and Science Act of 2022. URL:https://seasevents.nmsdev7.com/event/ese-2022-jack-keil-wolf-lecture-sustaining-the-semiconductor-revolution-challenges-and-opportunities/ LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Distinguished Lecture,Colloquium ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221130T150000 DTEND;TZID=America/New_York:20221130T160000 DTSTAMP:20260405T161038 CREATED:20221122T164540Z LAST-MODIFIED:20221122T164540Z UID:10007371-1669820400-1669824000@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP SFI: Nitin Sanket\, Worcester Polytechnic Institute\, "AI-Powered Robotic Bees: A Journey Into The Mind And Body!" DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. \nABSTRACT\nThe human fascination to mimic ultra-efficient living beings like insects and birds has led to the rise of small autonomous robots. Smaller robots are safer\, more agile and are task-distributable as swarms. One might wonder\, why do we not have small robots deployed in the wild today? Smaller robots are constrained by a severe dearth of computation and sensor quality. To further exacerbate the situation\, today’s mainstream approach for autonomy on small robots relies on building a 3D map of the scene that is used to plan paths for executing a control algorithm. Such a methodology has severely bounded the potential of small autonomous robots due to the strict distinction between perception\, planning\, and control. Instead\, we re-imagine each agent by drawing inspiration from insects at the bottom of the size and computation spectrum. Specifically\, each of our agents is made up of a series of hierarchical competences built on bio-inspired sensorimotor AI loops by utilizing the action-perception synergy. Here\, the agent controls its own movement and physical interaction to make up for what it lacks in computation and sensing. Such an approach imposes additional constraints on the data gathered to solve the problem using Active and Interactive Perception. I will present how the world’s first prototype of a RoboBeeHive was built using this philosophy. Finally\, I will conclude with a recent theory called Novel Perception that utilizes the statistics of motion fields to tackle various class of problems from navigation and interaction. This method has the potential to be the go-to mathematical formulation for tackling the class of motion-field-based problems in robotics. URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-nitin-sanket-worcester-polytechnic-institute/ LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States 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:20221130T120000 DTEND;TZID=America/New_York:20221130T133000 DTSTAMP:20260405T161038 CREATED:20220909T155650Z LAST-MODIFIED:20220909T155650Z UID:10007268-1669809600-1669815000@seasevents.nmsdev7.com SUMMARY:ASSET Seminar: Scallop: A Language for Neuro-Symbolic Programming\, Mayur Naik (University of Pennsylvania) DESCRIPTION:ABSTRACT: \nNeurosymbolic learning is an emerging paradigm which\, at its core\, combines the otherwise complementary worlds of classical algorithms and deep learning; in doing so\, it ushers in more accurate\, interpretable\, and domain-aware solutions for today’s most complex machine learning challenges.  I will begin by reviewing the various fundamentals\, such as algorithmic supervision\, symbolic reasoning\, and differentiable programming\, which have defined this intersection thus far.  I will then present Scallop\, a general-purpose programming language that allows for a wide range of modern neurosymbolic learning applications to be written and trained in a data and compute efficient manner.  Scallop is able to achieve these goals through three salient overarching design decisions: 1) a flexible symbolic representation that is based on the relational data model; 2) a declarative logic programming language that builds on Datalog; and 3) a framework for automatic and efficient differentiable reasoning that is based on the theory of provenance semirings. I will present case studies demonstrating how Scallop expresses algorithmic reasoning in a diverse and challenging set of AI tasks\, provides a succinct interface for machine learning programmers to integrate logical domain-specific knowledge\, and outperforms state-of-the-art deep neural network models in terms of accuracy and efficiency. \nThis is joint work with PhD students Ziyang Li and Jiani Huang. URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-mayur-naik-university-of-pennsylvania/ 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:20221129T153000 DTEND;TZID=America/New_York:20221129T163000 DTSTAMP:20260405T161038 CREATED:20221108T130111Z LAST-MODIFIED:20221108T130111Z UID:10007357-1669735800-1669739400@seasevents.nmsdev7.com SUMMARY:CIS Grace Hopper Lecture: "Data Privacy is Important\, But It's Not Enough" DESCRIPTION:Our current data ecosystem leaves individuals\, groups\, and society vulnerable to a wide range of harms\, ranging from privacy violations to subversion of autonomy to discrimination to erosion of trust in institutions. In this talk\, I’ll discuss the Data Co-ops Project\, a multi-institution\, multi-disciplinary effort I co-lead with Kobbi Nissim. The Project seeks to organize our understanding of these harms and to coordinate a set of technical and legal approaches to addressing them. In particular\, I’ll mention recent joint work with Ayelet Gordon and Alex Wood\, wherein we argue that legal and technical tools aimed at controlling data and addressing privacy concerns are inherently insufficient for addressing the full range of these harms. URL:https://seasevents.nmsdev7.com/event/cis-seminar-data-privacy-is-important-but-its-not-enough/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221129T100000 DTEND;TZID=America/New_York:20221129T103000 DTSTAMP:20260405T161038 CREATED:20220909T143814Z LAST-MODIFIED:20220909T143814Z UID:10007266-1669716000-1669717800@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "The Challenges and Opportunities of Battery-Powered Flight" DESCRIPTION:Sustainable transportation and aviation are critical to address climate change and renewable energy powered battery electric vehicles represent a promising path towards this goal. I will discuss the performance metrics needed of batteries for electric land and air vehicles\, and assess the energy-efficiency of electric vertical take-off and landing (eVTOL) aircraft compared to ground vehicles.[1] Identifying the challenging but achievable battery performance requirements for eVTOL\, I will discuss our approach to achieve simultaneously high specific energy and power by using lithium metal anodes\, enabled through a new density-driven dendrite suppression mechanism realized through a soft polymer-ceramic composite separator[2]. I will discuss the unique performance failure mode related to power fade for eVTOLs rather than energy fade for electric vehicles. Following this\, I will discuss the requirements and challenges for all-electric battery-powered single and twin-aisle aircraft and outline battery chemistry innovations that offer a pathway to approaching these requirements.[3] I will discuss two key tools to accelerate the innovation timeline for these battery chemistries: (i) in-situ and operando characterization[4] (ii) closed-loop battery material discovery with physics based simulation and robotic experimentation.[5] \nReferences: [1] Sripad\, Viswanathan\, Proceedings of the National Academy of Sciences 9\, 2021 118 (45) e2111164118 [2] Fu et al.\, Nature Materials\, (2020)\, 19\, 758–766. [3] Viswanathan et al.\, Nature\, 601\, 519–525 (2022)\, [4] Hafiz et al.\, Nature\, 594\, 213–216 (2021) [5] Dave et al.\, arXiv:2111.14786. Nature Communications (under revision) URL:https://seasevents.nmsdev7.com/event/meam-seminar-the-challenges-and-opportunities-of-battery-powered-flight/ 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:20221128T130000 DTEND;TZID=America/New_York:20221128T140000 DTSTAMP:20260405T161038 CREATED:20220901T141432Z LAST-MODIFIED:20220901T141432Z UID:10007246-1669640400-1669644000@seasevents.nmsdev7.com SUMMARY:PSOC Seminar: “Mechanical waves identify the amputation position during wound healing in the amputated zebrafish tailfin” (Keng-hui Lin\, Institute of Physics) DESCRIPTION:Fall 2022 Hybrid-Seminar Series \nMondays 1.00-2.00 pm (EST) \nTowne 225 / Raisler Lounge   \nFor Zoom link\, please contact