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DTSTART;TZID=America/New_York:20221218T120000
DTEND;TZID=America/New_York:20221218T160000
DTSTAMP:20260405T142755
CREATED:20221214T165140Z
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SUMMARY:Fall 2022 MEAM 5100: Grand Theft Autonomous Challenge - Day 2
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \nPlease join us live on YouTube\, on Zoom\, or in Wu and Chen to see the MEAM 5100: Mechatronics class compete in the Grand Theft Autonomous Challenge. Teams are tasked with building a robot which: senses\, navigates to\, and maneuvers different game pieces to score points. This multi-day event will push each team’s design\, software\, and electronics stack to the limit. Come and see which robots are left standing! \nDay 2: Knockout Rounds
URL:https://seasevents.nmsdev7.com/event/fall-2022-meam-5100-grand-theft-autonomous-challenge-day-2/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221217T120000
DTEND;TZID=America/New_York:20221217T160000
DTSTAMP:20260405T142755
CREATED:20221214T165021Z
LAST-MODIFIED:20221214T165021Z
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SUMMARY:Fall 2022 MEAM 5100: Grand Theft Autonomous Challenge - Day 1
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \nPlease join us live on YouTube\, on Zoom\, or in Wu and Chen to see the MEAM 5100: Mechatronics class compete in the Grand Theft Autonomous Challenge. Teams are tasked with building a robot which: senses\, navigates to\, and maneuvers different game pieces to score points. This multi-day event will push each team’s design\, software\, and electronics stack to the limit. Come and see which robots are left standing! \nDay 1: Seed Rounds
URL:https://seasevents.nmsdev7.com/event/fall-2022-meam-5100-grand-theft-autonomous-challenge-day-1/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221216T140000
DTEND;TZID=America/New_York:20221216T160000
DTSTAMP:20260405T142755
CREATED:20221209T175052Z
LAST-MODIFIED:20221209T175052Z
UID:10007384-1671199200-1671206400@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense of Margaret Billingsley: "Ionizable Lipid Nanoparticles for mRNA CAR T Cell Engineering"
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Mike Mitchell are pleased to announce the Doctoral Dissertation Defense of Margaret Billingsley. \n\nTitle: Ionizable Lipid Nanoparticles for mRNA CAR T Cell Engineering \nDate: December 16\, 2022\nTime: 2:00 PM\nLocation: Towne 337\nZoom option: https://upenn.zoom.us/j/95255561059?pwd=cnNhYVBCUnBNQWF6bTU5ZTF3eUMxdz09\nMeeting ID: 952 5556 1059 \nPasscode: mmbilli22 \n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-of-margaret-billingsley-ionizable-lipid-nanoparticles-for-mrna-car-t-cell-engineering/
LOCATION:Towne 337
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:20221216T103000
DTEND;TZID=America/New_York:20221216T113000
DTSTAMP:20260405T142755
CREATED:20221207T201610Z
LAST-MODIFIED:20221207T201610Z
UID:10007382-1671186600-1671190200@seasevents.nmsdev7.com
SUMMARY:Fall 2022 Robotics Master's Thesis Presentation
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. \n  \nWelcome Remarks\nDr. Ani Hsieh – ROBO Program Graduate Chair \nArjun Nanda\nAdvised by Dr. Pratik Chaudhari\n“Vision based object aware radiance field priors for single shot 3D reconstruction” \nShaoming Zheng\nAdvised by Dr. Jianbo Shi\n“2D-Supervised Single-View 3D Reconstruction with Latent Diffusion“
URL:https://seasevents.nmsdev7.com/event/fall-2022-robotics-masters-thesis-presentation/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Master's
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:20221216T100000
DTEND;TZID=America/New_York:20221216T120000
DTSTAMP:20260405T142755
CREATED:20221209T155547Z
LAST-MODIFIED:20221209T155547Z
UID:10007383-1671184800-1671192000@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense of Christopher Olm: "In vivo MRI perfusion and structural correlates of pathology in frontotemporal lobar degeneration"
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Drs. Murray Grossman and Jim Gee are pleased to announce the Doctoral Dissertation Defense of Christopher Olm. \n\nTitle: In vivo MRI perfusion and structural correlates of pathology in frontotemporal lobar degeneration\nDate: December 16\, 2022\nTime: 10:00 AM – 12:00 PM\nLocation: TBD\nZoom: https://upenn.zoom.us/j/7372154022\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-of-christopher-olm-in-vivo-mri-perfusion-and-structural-correlates-of-pathology-in-frontotemporal-lobar-degeneration/
LOCATION:PA
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:20221215T123000
DTEND;TZID=America/New_York:20221215T133000
DTSTAMP:20260405T142755
CREATED:20221129T192933Z
LAST-MODIFIED:20221129T192933Z
UID:10007376-1671107400-1671111000@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium - "From Brains to Bandgaps: How Novel Materials Synthesis can provide New Semiconductor Platforms for Optoelectronics\, Acoustics\, Electronics and Neuromorphic Computation"
DESCRIPTION:Since the first discovery of semiconductors\, materials synthesis has been the driving force for new devices\, new applications\, and new markets. In this presentation\, Professor Doolittle will provide two examples of “counterculture synthesis methods”\, methods that buck literature tradition\, that enable new devices\, applications\, and potentially vast new markets. Emphasis will be given to non-standard methods that have more sound physical reasoning than commonly practiced methods. The first example will be the recent advances in AlN and AlScN semiconductor synthesis. Aluminum Nitride (AlN) is an over 80-year-old insulator that has to date\, shown little promise to be converted to a semiconductor via doping because of well-known compensation and defect formation. By using low temperature crystal synthesis methods that run counter to common practice and by using new dopant elements\, we demonstrate: a) for the first time well behaved bulk semiconducting functionality in AlN making it the largest direct bandgap semiconductor demonstrated; b) substantial bulk p-type conduction (first-time demonstration\, holes=3.1×1018 cm-3); c) dramatic improvement in n-type conduction (electrons=6×1018 cm-3\, nearly 6000 times the state-of-the-art); d) the first PN AlN diode with a nearly ideal turn-on voltage of ~6 V for a 6.1 eV bandgap semiconductor and ~six decades of current rectification. Likewise\, low temperature AlScN synthesis methods produce high quality structures that could transform RF and power switching electronics as well as have impact for acoustic devices. The understanding of this advance is in its infancy and present limitations will be discussed. A wide variety of AlN-based applications should be enabled that will revolutionize deep ultraviolet light-based viral and bacterial sterilization\, lithography\, laser machining\, high-temperature\, high-voltage\, and high-power electronics. The second example is a new neuromorphic computing platform that offers engineering solutions not afforded in competing platforms. By dynamically changing the density of states of materials by intercalation of dopants\, bio realistic computation and memory are enabled via a diverse family of new\, scalable devices. Moving beyond simple resistance changes industry has perfected\, demonstrations will be given on how an engineer can design chrono-memristance devices with volatile\, non-volatile\, and mixed volatility\, tunable resistance and tunable temporal responses\, analog resistance changes exceeding the state of the art and remarkably low programing voltage/energy (below 100 mV) that compute without the need for individual device addressing – just as the brain computes.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-from-brains-to-bandgaps-how-novel-materials-synthesis-can-provide-new-semiconductor-platforms-for-optoelectronics-acoustics-electronics-and-neuromorphic-computation/
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:20221214T123000
DTEND;TZID=America/New_York:20221214T133000
DTSTAMP:20260405T142755
CREATED:20221206T145014Z
LAST-MODIFIED:20221206T145014Z
UID:10007380-1671021000-1671024600@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium: "Electronics 5.0: New Materials and Devices for Edge Intelligence"
DESCRIPTION:The end of traditional transistor scaling brings unprecedented new opportunities to semiconductor devices and electronics. We are at the onset of a new technology revolution\, which will focus on distributed intelligence and will be pushing the limits of sensing and computing at the edge of the cloud. This seminar will describe some of our work on  new materials and devices to enable this vision\, including 1. Gallium Nitride CMOS FinFET amplifiers for much more efficient communications; 2. One-layer-thick molybdenum disulfide wi-fi energy harvesters to enable ubiquitous electronics; and 3. A new generation of cell-sized autonomous electronic microsystems to revolutionize invisible sensing. The seminar will conclude with a reflection on how the democratization of heterogeneous integration\, the unique properties of extreme materials and the opportunities of distributed intelligence will transform our society just as Moore’s law has done for the last 50 years.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-electronics-5-0-new-materials-and-devices-for-edge-intelligence/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221214T120000
DTEND;TZID=America/New_York:20221214T133000
DTSTAMP:20260405T142755
CREATED:20220913T150856Z
LAST-MODIFIED:20220913T150856Z
UID:10007281-1671019200-1671024600@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: ML for Causal Inference\, Konrad Kording\, University of Pennsylvania
DESCRIPTION:ABSTRACT \nMachine learning traditionally does not get at causality and causality research traditionally treats machine learning as a dangerous set of highly biased estimators. In my talk I will talk about our lab’s efforts to use machine learning as a component of more traditional quasi-experimental techniques. I will also discuss meta-learning approaches to causal inference\, approaches where the estimators themselves are learned. I will lament the relative lack of interactions between the various subfields of the causal inference space.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-konrad-kording-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:20221214T110000
DTEND;TZID=America/New_York:20221214T120000
DTSTAMP:20260405T142755
CREATED:20221209T175417Z
LAST-MODIFIED:20221209T175417Z
UID:10007385-1671015600-1671019200@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP Seminar: Nare Karapetyan\, University of Maryland\, "Area Coverage Path Planning: From Graphs to Field Deployments"
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. \n  \nABSTRACT\nArea coverage path planning is the problem of finding an efficient path that traverses the region of interest while avoiding existing obstacles. When dealing with real systems\, the dynamic changes and uncertainties of the environments increase the state space exponentially and make these problems intractable. As such\, exploiting the inherent geometric properties of the areas allows for redefining planning as a combinatorial optimization task. This helps to reduce the overhead complexity of the problem and break it into manageable subproblems for handling uncertainties. \nIn this talk\, we will discuss a two-phase approach for generating a complete pipeline of robust exploration/coverage plans: (i) generate a global coverage plan and (ii) incorporate dynamic changes to adjust the plan. We will specifically discuss different coverage strategies for single and multi-robot systems that take into account obstacles and implicit geological properties of the environment and perform effective data collection suitable to the deployed sensors. We will also discuss how to incorporate uncertainties within these plans. Moreover\, we will also see these methods deployed in the real world\, automating scientific sampling operations.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-seminar-nare-karapetyan-university-of-maryland/
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:20221212T130000
DTEND;TZID=America/New_York:20221212T140000
DTSTAMP:20260405T142755
CREATED:20220901T141637Z
LAST-MODIFIED:20220901T141637Z
UID:10007247-1670850000-1670853600@seasevents.nmsdev7.com
SUMMARY:PSOC Seminar: “Validation of a bicistronic CAR to overcome intratumoral heterogeneity in GBM” (Zev Binder\, PSOM)
DESCRIPTION:Fall 2022 Hybrid-Seminar Series  \nMondays 1.00-2.00 pm (EST)  \nTowne 225 / Raisler Lounge   \nFor Zoom link\, please contact <manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-seminar-validation-of-a-bicistronic-car-to-overcome-intratumoral-heterogeneity-in-gbm-zev-binder-psom/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221211T120000
DTEND;TZID=America/New_York:20221211T160000
DTSTAMP:20260405T142755
CREATED:20221207T155317Z
LAST-MODIFIED:20221207T155317Z
UID:10007381-1670760000-1670774400@seasevents.nmsdev7.com
SUMMARY:Fall 2022 MEAM 5200: Block Stacking Challenge!
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \n  \nABSTRACT\n\nTeams of 3-4 students will compete head-to-head in a block stacking challenge as their class final project for MEAM 5200: Introduction to Robotics. Each team controls one 7 DOF Franka-Emika Panda manipulator arm using their modeling/planning skills and gaming strategy. The team that stacks the most blocks wins! \nCome cheer on your classmates at the MEAM 5200 stacking competition in person or via zoom! \n12:00pm-2pm (Qualifiers) \n\n2:30pm-4pm (Knock-outs)
URL:https://seasevents.nmsdev7.com/event/fall-2022-meam-5200-block-stacking-challenge/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221209T140000
DTEND;TZID=America/New_York:20221209T150000
DTSTAMP:20260405T142755
CREATED:20220913T182444Z
LAST-MODIFIED:20220913T182444Z
UID:10007284-1670594400-1670598000@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "From Molecular Vibrations to Solvation\, Protein Dynamics and Models of the Cytoplasm"
DESCRIPTION:Abstract: Vibrational spectroscopies at mid-infrared frequencies provide excellent probes to characterize functional groups and their immediate chemical environment. However\, from a thermodynamic and dynamic point of view\, only the ground state of these vibrations is significantly populated. Most of the “jiggling and wiggling” of atoms and molecules (referred to in the famous quote by Feynman) happens at lower frequencies in the far-infrared\, where vibrations are easily excited by thermal collisions. \nThe Heyden research group develops methods to characterize and extract information from far-infrared vibrations in molecular dynamics simulations of biomolecular systems: 1) We develop methods that eliminate the need for harmonic and quasi-harmonic approximations in the analysis of collective vibrational modes and their contributions to vibrational spectra. 2) We use intermolecular vibrations of the water-hydrogen bond network to generate detailed 3D maps of protein hydration free energies and water-mediated interactions. 3) We use such 3D maps to generate implicit solvation models that enable realistic simulations of large biomolecular systems including many interacting proteins. \nEach of these methods has its own applications\, but combined they allow us to develop computationally efficient models of complex biomolecular environments such as the cytoplasm. We developed a multi-conformation Monte Carlo algorithm that uses input from existing molecular dynamics simulation trajectories to generate new simulation models of systems containing 100’s of interacting flexible proteins at very low computational cost. This allows us to analyze consequences of biomolecular crowding in a multitude of scenarios\, which remain inaccessible to direct molecular dynamics simulations.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-from-molecular-vibrations-to-solvation-protein-dynamics-and-models-of-the-cytoplasm/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221209T103000
DTEND;TZID=America/New_York:20221209T114500
DTSTAMP:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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:20260405T142755
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
END:VCALENDAR