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DTSTART:20210314T070000
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DTSTART;TZID=America/New_York:20221211T120000
DTEND;TZID=America/New_York:20221211T160000
DTSTAMP:20260405T142348
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:20221212T130000
DTEND;TZID=America/New_York:20221212T140000
DTSTAMP:20260405T142348
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:20221214T110000
DTEND;TZID=America/New_York:20221214T120000
DTSTAMP:20260405T142348
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:20221214T120000
DTEND;TZID=America/New_York:20221214T133000
DTSTAMP:20260405T142348
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:20221214T123000
DTEND;TZID=America/New_York:20221214T133000
DTSTAMP:20260405T142348
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:20221215T123000
DTEND;TZID=America/New_York:20221215T133000
DTSTAMP:20260405T142348
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:20221216T100000
DTEND;TZID=America/New_York:20221216T120000
DTSTAMP:20260405T142348
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:20221216T103000
DTEND;TZID=America/New_York:20221216T113000
DTSTAMP:20260405T142348
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:20221216T140000
DTEND;TZID=America/New_York:20221216T160000
DTSTAMP:20260405T142348
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:20221217T120000
DTEND;TZID=America/New_York:20221217T160000
DTSTAMP:20260405T142348
CREATED:20221214T165021Z
LAST-MODIFIED:20221214T165021Z
UID:10007386-1671278400-1671292800@seasevents.nmsdev7.com
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
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