BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201116T120000
DTEND;TZID=America/New_York:20201116T130000
DTSTAMP:20260407T111439
CREATED:20200908T171241Z
LAST-MODIFIED:20200908T171241Z
UID:10006482-1605528000-1605531600@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: “Visualizing Cancer Biology: From Single Molecules to Systems" (Xiolin Nan)
DESCRIPTION:“Visualizing Cancer Biology: From Single Molecules to Systems” \nPhysical Sciences in Oncology Center PSOC@Penn \nFall 2020 Webinar Series Mondays @ Noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-visualizing-cancer-biology-from-single-molecules-to-systems-xiolin-nan/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T103000
DTEND;TZID=America/New_York:20201117T120000
DTSTAMP:20260407T111439
CREATED:20201103T210901Z
LAST-MODIFIED:20201103T210901Z
UID:10006537-1605609000-1605614400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Bilevel Optimization for Control\, Learning\, and Multi-contact Robotics"
DESCRIPTION:Whether operating in a manufacturing plant or assisting within the home\, many robotic tasks requires safe and controlled interaction with a complex and changing world. In this talk\, I will present our recent progress on learning and control in contact rich settings. In the first segment\, I will show how integrating the non-smooth structure of contact dynamics into a learning framework can dramatically improve accuracy and data efficiency when identifying or learning frictional dynamics. Our approach leads to a well-conditioned bilevel optimization problem\, avoiding the numerical stiffness and inaccuracies that plague traditional approaches. In the second part of this talk\, I will focus on the role of simple\, low-dimensional models used in real-time planning for walking robots. Hand-engineered models\, typically based in inverted pendulums\, are widely used but lead to fundamental limitations on performance. Our recent work\, leveraging trajectory optimization within bilevel optimization\, to automatically synthesize simple models designed to succeed across a space of tasks. Time-permitting\, I will also discuss our work on using bilinear matrix inequalities to leverage tactile feedback within provably stable control policies.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-bilevel-optimization-for-control-learning-and-multi-contact-robotics/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T110000
DTEND;TZID=America/New_York:20201117T120000
DTSTAMP:20260407T111439
CREATED:20201110T205644Z
LAST-MODIFIED:20201110T205644Z
UID:10006546-1605610800-1605614400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "A New Era of Open-Source System-on-Chip Design"
DESCRIPTION:Open-source software has been a critical enabler for tremendous innovation in the software ecosystem over the past two decades. Inspired by this success\, open-source hardware involves making the high-level description of hardware components freely available for others to study\, change\, distribute\, and ultimately use in fabricating their own hardware components. Unfortunately\, open-source hardware has had a relatively bleak history and has yet to offer the same kind of transformative impact in the hardware ecosystem. At the same time\, emerging applications in visual computing\, data science\, and machine learning are demanding more performance with less resources motivating an increasing need for accelerator-centric system-on-chip (SoC) design. We need hardware startups to drive the next phase of software/hardware innovation\, and hardware startups need open-source hardware. \nIn this talk\, I will briefly discuss some recent trends in open-source electronic design automation\, instruction set design\, and component development that suggest we may be entering a new era of open-source SoC design. I will then describe two projects in my own research group that concretely illustrate these trends. In the first part of the talk\, I will discuss PyMTL\, a new framework which leverages Python to create a domain-specific embedded language for hardware modeling\, generation\, simulation\, and verification. PyMTL has the potential to improve the productivity and quality of open-source hardware design. In the second part of this talk\, I will discuss the Celerity SoC\, a 5x5mm 385M-transistor chip in TSMC 16nm designed and implemented by a team of students and faculty from UC San Diego\, University of Michigan\, and Cornell as part of the DARPA CRAFT program. The chip went from PDK access to tapeout in just nine months largely owing to extensive use of open-source hardware. My talk concludes with a call-to-action for the academic community to make open-source hardware a centerpiece of their activities. Academics have a practical and ethical motivation for using\, developing\, and promoting open-source electronic design automation tools and open-source hardware designs. We should be leaders in this new era of open-source system-on-chip design.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-a-new-era-of-open-source-system-on-chip-design/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T160000
DTEND;TZID=America/New_York:20201117T170000
DTSTAMP:20260407T111439
CREATED:20200709T143100Z
LAST-MODIFIED:20200709T143100Z
UID:10006441-1605628800-1605632400@seasevents.nmsdev7.com
SUMMARY:Immunology/BE Seminar: “Engineering Next-Generation CAR-T Cells for Cancer Immunotherapy” (Yvonne Chen)
DESCRIPTION:This event is part of the Penn Institute for Immunology Colloquium seminar series and is co-hosted by the Department of Bioengineering. This virtual event will be held on Bluejeans. \nAttend the live seminar via this link. Or download the Bluejeans app and and enter ID: wxbzgity \nContact ifiadmin@pennmedicine.upenn.edu with any questions. \nThe adoptive transfer of T cells expressing chimeric antigen receptors (CARs) has demonstrated clinical efficacy in the treatment of advanced cancers\, with anti-CD19 CAR-T cells achieving up to 90% complete remission among patients with relapsed B-cell malignancies. However\, challenges such as antigen escape and immunosuppression limit the long-term efficacy of adoptive T-cell therapy. Here\, I will discuss the development of next-generation T cells that can target multiple cancer antigens and resist immunosuppression\, thereby increasing the robustness of therapeutic T cells against tumor defense mechanisms. Specifically\, I will discuss the development of multi-input receptors and T cells that can interrogate intracellular antigens. I will also discuss the engineering of T cells that can effectively convert TGF-beta from a potent immunosuppressive cytokine into a T-cell stimulant. This presentation will highlight the potential of synthetic biology in generating novel mammalian cell systems with multifunctional outputs for therapeutic applications.
URL:https://seasevents.nmsdev7.com/event/immunology-be-seminar-engineering-next-generation-car-t-cells-for-cancer-immunotherapy/
LOCATION:PA
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201118T130000
DTEND;TZID=America/New_York:20201118T140000
DTSTAMP:20260407T111439
CREATED:20201028T193953Z
LAST-MODIFIED:20201028T193953Z
UID:10006534-1605704400-1605708000@seasevents.nmsdev7.com
SUMMARY:Neuroengineering/BE Seminar: “Photovoltaic Restoration of Sight in Age-related Macular Degeneration” (Daniel Palanker)
DESCRIPTION:Presented by The Center for Neuroengineering and Therapeutics Presents and The Bioengineering Department. \nCheck email for zoom link or Everett Prince at eprince@seas.upenn.edu. \nRetinal degenerative diseases lead to blindness due to loss of the “image capturing” photoreceptors\, while neurons in the “image-processing” inner retinal layers are relatively well preserved. Information can be reintroduced into the visual system using electrical stimulation of the surviving inner retinal neurons. We developed a photovoltaic substitute of photoreceptors which convert light into pulsed electric current\, stimulating the secondary retinal neurons. Visual information captured by a\ncamera is projected onto the retina from augmented-reality glasses using pulsed near-infrared (~880nm) light. This design avoids the use of bulky electronics and wiring\, thereby greatly reducing the surgical complexity. Optical activation of the photovoltaic pixels allows scaling the number of electrodes to thousands. In preclinical studies\, we found that prosthetic vision with subretinal implants\npreserves many features of natural vision\, including flicker fusion at high frequencies (>30 Hz)\, adaptation to static images\, antagonistic center-surround organization and non-linear\nsummation of subunits in receptive fields\, providing high spatial resolution. Results of the clinical\ntrial with our implants (PRIMA\, Pixium Vision) having 100μm pixels\, as well as preclinical\nmeasurements with 75 and 55μm pixels\, confirm that spatial resolution of prosthetic vision can\nreach the pixel pitch. Remarkably\, central prosthetic vision in AMD patients can be perceived\nsimultaneously with peripheral natural vision. For broader acceptance of this technology by patients who lost central vision due to agerelated macular degeneration\, visual acuity should exceed 20/100\, which requires pixels smaller than 25μm. I will describe the fundamental limitations in electro-neural interfaces and 3-dimensional configurations which should enable such a high spatial resolution. Ease of\nimplantation of these wireless arrays\, combined with high resolution opens the door to highly functional restoration of sight.
URL:https://seasevents.nmsdev7.com/event/neuroengineering-be-seminar-photovoltaic-restoration-of-sight-in-age-related-macular-degeneration-daniel-palanker/
LOCATION:PA
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201118T150000
DTEND;TZID=America/New_York:20201118T170000
DTSTAMP:20260407T111439
CREATED:20201008T212049Z
LAST-MODIFIED:20201008T212049Z
UID:10006522-1605711600-1605718800@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense | 3D Porous High Areal Capacity Lithium-ion Micro-Batteries Enabled by Electrochemical Techniques
DESCRIPTION:Abstract: \nThis study involves design and fabrication of scalable\, high surface area\, and porous 3D metal network-based Li-ion micro-batteries with energy and power that meet the demands of commercial microelectronics. A facile high current hydrogen-templated electroplating technique is utilized to generate 3D structures millimeter scale in z-direction through a facile route\, which serve as the scaffolds and current collectors for battery electrodes. A solid polymer electrolyte or gel electrolyte was utilized to increase stability and safety of the energy storage device. Areal capacity high as 30 mAh/cm 2 with stable cycling performance has been demonstrated on the half-cell level\, which can be attributed to the high surface area and low tortuosity from the porous electrodes.
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-chenpeng-huang-3d-porous-high-areal-capacity-lithium-ion-micro-batteries-enabled-by-electrochemical-techniques/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Seminar,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201119T104500
DTEND;TZID=America/New_York:20201119T104500
DTSTAMP:20260407T111439
CREATED:20200828T161150Z
LAST-MODIFIED:20200828T161150Z
UID:10006459-1605782700-1605782700@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Interface Engineering in Nanoceramics"
DESCRIPTION:Details forthcoming.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-interface-engineering-in-nanoceramics-ill-discuss-how-interfacial-thermodynamics-influences-nanostructure-growth-sintering-and-mechanics-while-offering-design-opportunities/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201119T130000
DTEND;TZID=America/New_York:20201119T150000
DTSTAMP:20260407T111439
CREATED:20201027T132719Z
LAST-MODIFIED:20201027T132719Z
UID:10006532-1605790800-1605798000@seasevents.nmsdev7.com
SUMMARY:Doctoral Dissertation Defense: "High throughput Identification of Rare Cell Population by Functional Phenotyping" (Syung Hun Han)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Drs.  Daeyeon Lee and Junhyong Kim and are pleased to announce the Doctoral Dissertation Defense of Syung Hun Han.  The public is welcome to attend on November 19th at 1pm via the zoom link provided below.\n\nTitle: “High throughput Identification of Rare Cell Population by Functional Phenotyping”\n\nTime: Nov 19\, 2020 01:00 PM Eastern Time (US and Canada) \nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/6433136894?pwd=NDh2M2xaYjhIVTJsczVnQ3l4QVdJUT09 \nMeeting ID: 643 313 6894\nPasscode: 1234\nOne tap mobile\n+13462487799\,\,6433136894# US (Houston)\n+12532158782\,\,6433136894# US (Tacoma) \nDial by your location\n+1 346 248 7799 US (Houston)\n+1 253 215 8782 US (Tacoma)\n+1 669 900 9128 US (San Jose)\n+1 312 626 6799 US (Chicago)\n+1 646 558 8656 US (New York)\n+1 301 715 8592 US (Germantown)\nMeeting ID: 643 313 6894\nFind your local number: https://upenn.zoom.us/u/abUcOYZD0X \nJoin by SIP\n6433136894@zoomcrc.com \nJoin by H.323\n162.255.37.11 (US West)\n162.255.36.11 (US East)\n115.114.131.7 (India Mumbai)\n115.114.115.7 (India Hyderabad)\n213.19.144.110 (Amsterdam Netherlands)\n213.244.140.110 (Germany)\n103.122.166.55 (Australia)\n64.211.144.160 (Brazil)\n69.174.57.160 (Canada)\n207.226.132.110 (Japan)\nMeeting ID: 643 313 6894\nPasscode: 1234
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-defense-high-throughput-identification-of-rare-cell-population-by-functional-phenotyping-syung-hun-han/
LOCATION:PA
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201119T150000
DTEND;TZID=America/New_York:20201119T160000
DTSTAMP:20260407T111439
CREATED:20200709T143802Z
LAST-MODIFIED:20200709T143802Z
UID:10006442-1605798000-1605801600@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Emerging Technologies for Detection of Early Stage Bladder Cancer" (Audrey Bowden)
DESCRIPTION:This event will held virtually on zoom. Check email for the link or contact ksas@seas.upenn.edu. \nBladder cancer (BC) —  the 4th most common cancer in men and the most expensive cancer to treat over a patient’s lifetime — is a lifelong burden to BC patients and a significant economic burden to the U.S. healthcare system. The high cost of BC stems largely from its high recurrence rate (>50%); hence\, BC management involves frequent surveillance. Unfortunately\, the current in-office standard-of-care tool for BC surveillance\, white light cystoscopy (WLC)\, is limited by low sensitivity and specificity for carcinoma in situ (CIS)\, a high-grade carcinoma with high potential to metastasize. Early detection and complete eradication of CIS are critical to improve treatment outcomes and to minimize recurrence. The most promising macroscopic technique to improve sensitivity to CIS detection\, blue light cystoscopy (BLC)\, is costly\, time-intensive\, has low availability and a high false-positive rate. Given the limitations of WLC\, we aim to change the paradigm around how BC surveillance is performed by validating new tools with high sensitivity and specificity for CIS that are appropriate for in-office use. In this seminar\, I discuss our innovative solutions to improve mapping the bladder for longitudinal tracking of suspicious lesions and to create miniature tools for optical detection based on optical coherence tomography (OCT). OCT and its functional variant\, cross-polarized OCT\, can detect early-stage BC with better sensitivity and specificity than WLC. We discuss the critical technical innovations necessary to make OCT and CP-OCT a practical tool for in-office use\, and new results from recent explorations of human bladder samples that speak to the promise of this approach to change the management of patient care.
URL:https://seasevents.nmsdev7.com/event/be-seminar-4/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201120T120000
DTEND;TZID=America/New_York:20201120T130000
DTSTAMP:20260407T111439
CREATED:20201111T191453Z
LAST-MODIFIED:20201111T191453Z
UID:10006547-1605873600-1605877200@seasevents.nmsdev7.com
SUMMARY:SIG Seminar:"Behavior Modeling using Data from Games"
DESCRIPTION:Behavior modeling is an important area of research as it severs many applications and disciplines; it expands on our knowledge of human behavior as well as allows us to develop novel AI entities that adapts to its users or mimics them. This area of research is by definition interdisciplinary and has stimulated interest from multiple funding organizations. In the past few years\, games have emerged as a new platform with large context-rich data that has the utility to advance behavior modeling. In particular\, recently there has been much work investigating the use of MOBA games\, such as League of Legends and Dota\, and Massively Multiplayer games\, such as Eve Online\, for this purpose. Even though there are many exciting new results\, the current techniques and methods for modeling player behaviors within these environments are still in their infancy. In this talk\, I will discuss our current work towards developing a methodological platform to develop player models that leverages and builds on current theory and data-driven techniques\, including machine learning and visualization methods.
URL:https://seasevents.nmsdev7.com/event/sig-seminarbehavior-modeling-using-data-from-games/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201120T140000
DTEND;TZID=America/New_York:20201120T150000
DTSTAMP:20260407T111439
CREATED:20201110T132115Z
LAST-MODIFIED:20201110T132115Z
UID:10006531-1605880800-1605884400@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Designing energy conversion materials with ab-initio and active machine learning computations of electron-phonon and ion dynamics"
DESCRIPTION:Abstract: Accurate atomistic computations of transport and reaction dynamics are an important challenge and an opportunity for designing materials for energy conversion and storage. In the context of thermoelectric materials\, we develop new automatable computational methods for describing electron-phonon scattering dynamics. By predicting electrical transport properties\, we computationally discovered several new low-cost thermoelectric alloys with record device performance. In the context of solid-state batteries\, computations of ionic transport reveal how strong ionic interactions lead to disorder and surprising collective phenomena in amorphous polymer electrolyte materials and enable us to design new electrolyte chemistries. \nHigh-fidelity ab-initio simulations of atomistic dynamics are limited to small systems and short times\, and development of surrogate machine learning models for force fields is an emerging promising direction to access long-time large-scale dynamics of complex materials systems. However\, the main challenges are high accuracy\, reliability\, and computational efficiency of these models\, which critically depend on the training data sets. We develop ML interatomic potential models that are interpretable and uncertainty-aware\, and orders of magnitude faster than reference quantum methods. Principled uncertainty quantification built into these models enables the construction of autonomous data acquisition schemes using active learning. We demonstrate on-the-fly learning of machine learning force fields and use them to gain insights into previously inaccessible physical and chemical phenomena in ion conductors\, catalytic surface reactions\, 2D materials phase transformations\, and shape memory alloys.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-designing-energy-conversion-materials-with-ab-initio-and-active-machine-learning-computations-of-electron-phonon-and-ion-dynamics/
LOCATION:Zoom – email kathom@seas.upenn.edu
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
END:VCALENDAR