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: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:20220901T103000 DTEND;TZID=America/New_York:20220901T113000 DTSTAMP:20260405T194051 CREATED:20220826T183342Z LAST-MODIFIED:20220826T183342Z UID:10007235-1662028200-1662031800@seasevents.nmsdev7.com SUMMARY:MSE Seminar: "Microstructural Design Principles for Achieving Stable Electrochemical Interfaces for Metal Anodes" DESCRIPTION:Lithium metal battery systems (LMBs) are being sought as an ultimate replacement to LIBs\, potentially increasing the cell energy by over fifty percent due to the high capacity and low voltage of the metal anode. Analogous improvement in energy is possible with sodium metal batteries (NMBs) and with potassium metal batteries (KMBs)\, where existing ion insertion anodes can be replaced by plating/stripping metal. However\, in all three cases safety and performance are compromised by an unstable solid electrolyte interphase (SEI) that consumes metal ions and electrolyte\, and ultimately leads to dendrites. This presentation provides a series of case studies derived from the group’s LMB\, NMB and KMB research on the microstructural design principles that provide for long-term cycling and fast-charge stability of metal anodes. The approaches may be categorized as the following:  a) design of plating/stripping supports and templates with tuned geometry and functionality; b) design of secondary interlayers placed between the metal anode and the separator; and c) design of multifunctional hybrid separators to replace the conventional polymer separators employed with LIBs. It is demonstrated that despite appearing distinct\, the efficacy of each in enabling electrochemical stability originates from three fundamental features that are directly interrelated. The wetting behavior of the electrolyte on the anode must be optimized\, the wetting/stripping behavior of the metal anode on the current collector must be controlled\, and a geometrically and chemically modified SEI must be established. Simultaneously achieving all three leads to stable plating/stripping\, while missing even one leads to rapid dendrite growth. Cryogenic FIB cross sections and cryo-TEM are combined to yield new insight regarding film wetting behavior and early dendrite formation in optimized versus baseline specimens\, analyzing growth in several representative electrolytes. URL:https://seasevents.nmsdev7.com/event/microstructural-design-principles-for-achieving-stable-electrochemical-interfaces-for-metal-anodes/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220906T100000 DTEND;TZID=America/New_York:20220906T113000 DTSTAMP:20260405T194051 CREATED:20220824T122920Z LAST-MODIFIED:20220824T122920Z UID:10007234-1662458400-1662463800@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Mechanics Design in Cellulose-Enabled High-Performance Materials toward a Sustainable Future" DESCRIPTION:The ever-growing world population demands material consumption and drives material discovery. The progress of modern society accompanies the advent of advanced materials to enable new performance and functionalities\, as epitomized by the invention of two most representative man-made materials: steels (4000 years ago) and petroleum-derived plastics (~80 years ago). The widespread use of steels (and other alloys) and plastics as structural and functional materials has radically revolutionized our daily life\, which\, however\, also comes with heavy environmental impacts. The tremendous energy/water cost and carbon footprint of manufacturing steels and the ever-devastating global white pollution due to plastic waste pose grand challenges to the sustainable future of humankind. Aiming to address such grand challenges\, we have been working on developing advanced sustainable materials that hold the promise to replace steels (and alloys) and plastics in recent years. To this end\, we focus particularly on cellulose\, the most abundant biopolymer on Earth\, as the source of sustainable materials. In this talk\, I will showcase a few examples of advanced sustainable materials developed at the Laboratory for Advance Sustainable Materials and Technology at UMD\, including transparent strong and tough cellulose nanopaper to replace plastic foils; superwood as a potential structural material to replace steels and alloys; cellulose-based composites to replace petroleum-derived plastic straws and packaging foam\, etc. These high-performance\, low-cost\, and nature-based advanced materials offer an array of promising material solutions toward a sustainable future. URL:https://seasevents.nmsdev7.com/event/meam-seminar-mechanics-design-in-cellulose-enabled-high-performance-materials-toward-a-sustainable-future/ 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:20220907T120000 DTEND;TZID=America/New_York:20220907T133000 DTSTAMP:20260405T194051 CREATED:20220907T161614Z LAST-MODIFIED:20220907T161614Z UID:10007251-1662552000-1662557400@seasevents.nmsdev7.com SUMMARY:ASSET Seminar: Robust and Equitable Uncertainty Estimation (Aaron Roth\, University of Pennsylvania) DESCRIPTION:Presentation Abstract:  \nMachine learning provides us with an amazing set of tools to make predictions\, but how much should we trust particular predictions? To answer this\, we need a way of estimating the confidence we should have in particular predictions of black-box models. Standard tools for doing this give guarantees that are averages over predictions. For instance\, in a medical application\, such tools might paper over poor performance on one medically relevant demographic group if it is made up for by higher performance on another group. Standard methods also depend on the data distribution being static — in other words\, the future should be like the past. \nIn this talk\, we will describe a new technique to address both these problems: a way to produce prediction sets for arbitrary black-box prediction methods that have correct empirical coverage even when the data distribution might change in arbitrary\, unanticipated ways and such that we have correct coverage even when we zoom in to focus on demographic groups that can be arbitrary and intersecting. \nThis is a joint work with Osbert Bastani\, Varun Gupta\, Christopher Jung\, Georgy Noarov\, and Ramya Ramalingam. URL:https://seasevents.nmsdev7.com/event/asset-seminar-robust-and-equitable-uncertainty-estimation-aaron-roth-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:20220908T140000 DTEND;TZID=America/New_York:20220908T160000 DTSTAMP:20260405T194051 CREATED:20220902T155412Z LAST-MODIFIED:20220902T155412Z UID:10007249-1662645600-1662652800@seasevents.nmsdev7.com SUMMARY:BE Doctoral Dissertation Defense: "Sex differences in head impact biomechanics and quantitative functional deficits due to repetitive head loading in high school sports" (Colin Huber) DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Kristy Arbogast are pleased to announce the Doctoral Dissertation Defense of Colin Huber.\n \nTitle: Sex differences in head impact biomechanics and quantitative functional deficits due to repetitive head loading in high school sports\nDate: Thursday\, September 8th\, 2022\nTime: 2:00 PM ET\nLocation: Roberts Center for Pediatric Research\, Room 1120B\, 734 Schuylkill Ave\, Philadelphia\, PA 19146 (across South Street Bridge)\nZoom: https://upenn.zoom.us/j/99894194174 \nPasscode: Concussion URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-sex-differences-in-head-impact-biomechanics-and-quantitative-functional-deficits-due-to-repetitive-head-loading-in-high-school-sports-colin-huber/ LOCATION:Room 1120B\, Roberts Center for Pediatric Research\, 2716 South Street\, Philadelphia\, PA\, 19146\, United States CATEGORIES:Doctoral,Graduate,Student ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220909T100000 DTEND;TZID=America/New_York:20220909T110000 DTSTAMP:20260405T194051 CREATED:20220826T192435Z LAST-MODIFIED:20220826T192435Z UID:10007236-1662717600-1662721200@seasevents.nmsdev7.com SUMMARY:MEAM Ph.D. Thesis Defense: "A Spin-Lattice Dynamics Model with Improved Energy and Angular Momentum Conservation" DESCRIPTION:Magnetic materials are critically important in a wide range of application areas including data storage\, medicine\, energy harvesting\, and refrigeration. Atomistic numerical simulations of magnetic materials can provide important insight in these applications because they offer the ability to track phenomena such as magnon-phonon interactions\, ultrafast demagnetization processes\, and magnetization and energy at time and length scales that can be difficult to observe experimentally. Spin-lattice dynamics\, a classical atomistic simulation method that models atomic magnetic moments and atomic displacements simultaneously\, is able to capture these phenomena. Unfortunately\, energy stability can be a challenge in spin-lattice dynamics simulations and angular momentum artifacts are a known issue in atomistic models of periodic systems. Both of these problems can cause errors in the evolution of spin orientations and atomic positions\, leading to unphysical predictions of temperature\, magnetization\, and thermal-magnetic coupling in magnetic materials. This dissertation presents an improved computational model for spin-lattice dynamics simulations developed to address the above challenges. The model offers superior energy and magnetization conservation and the ability to quantify lattice angular momentum changes generated by spin relaxation processes in bulk materials. The improvements made in this work advance spin-lattice dynamics as a computational tool for the design and analysis of magnetic materials. URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-a-spin-lattice-dynamics-model-with-improved-energy-and-angular-momentum-conservation/ LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu 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:20220909T103000 DTEND;TZID=America/New_York:20220909T114500 DTSTAMP:20260405T194051 CREATED:20220907T182509Z LAST-MODIFIED:20220907T182509Z UID:10007257-1662719400-1662723900@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP Seminar: GRASP Research Overview - Day 1 DESCRIPTION:GRASP Lab faculty confirmed presentations (where appropriate their presenters)…\n*This is a HYBRID Event with in-person attendance in Wu & Chen Auditorium and virtual attendance via Zoom. \nDr. Mark Yim (Welcome & Introduction)\nDr. Pratik Chaudhari\nDr. Kostas Daniilidis\nDr. Eric Eaton\nDr. Dinesh Jayaraman\nDr. Michelle Johnson (presented by Francis Sowande)\nDr. Michael Posa\nDr. Jianbo Shi URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-seminar-grasp-research-overview-day-1/ 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:20220913T100000 DTEND;TZID=America/New_York:20220913T113000 DTSTAMP:20260405T194051 CREATED:20220907T182148Z LAST-MODIFIED:20220907T182148Z UID:10007256-1663063200-1663068600@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: MEAM Faculty Research Overview DESCRIPTION:Please join us on Tuesday\, September 13 for a series of short research talks by MEAM faculty.  Five MEAM faculty will give “flash talks” to introduce their research activities and recent work.  This is an excellent opportunity for current graduate students to learn about ongoing research in the Department. URL:https://seasevents.nmsdev7.com/event/meam-seminar-meam-faculty-research-overview/ 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:20220913T140000 DTEND;TZID=America/New_York:20220913T150000 DTSTAMP:20260405T194051 CREATED:20220902T160048Z LAST-MODIFIED:20220902T160048Z UID:10007250-1663077600-1663081200@seasevents.nmsdev7.com SUMMARY:BE Doctoral Dissertation: "Biomechanical Evaluation of the Role of Decorin and Biglycan during Neonatal Tendon Development and Healing" (Zak Beach) DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Lou Soslowsky are pleased to announce the Doctoral Dissertation Defense of Zak Beach. \nTitle:  Biomechanical Evaluation of the Role of Decorin and Biglycan during Neonatal Tendon Development and Healing \nDate: Tuesday\, September 13\, 2022 \nTime:  2pm-3pm \nLocation: JMB Class of 62 Auditorium URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-biomechanical-evaluation-of-the-role-of-decorin-and-biglycan-during-neonatal-tendon-development-and-healing-zak-beach/ LOCATION:JMB Reunion Auditorium\, 3620 Hamilton Walk\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220914T120000 DTEND;TZID=America/New_York:20220914T133000 DTSTAMP:20260405T194051 CREATED:20220907T163417Z LAST-MODIFIED:20220907T163417Z UID:10007253-1663156800-1663162200@seasevents.nmsdev7.com SUMMARY:ASSET Seminar: When Will You Become the Best Reviewer of Your Own Papers? A Truthful Owner-Assisted Scoring Mechanism (Weijie Su\, University of Pennsylvania) DESCRIPTION:Presentation Abstract:  \nAlice submits a number of papers to a machine learning conference and has knowledge of the quality of her papers. Given noisy grades provided by independent reviewers\, can Bob obtain accurate estimates of the ground-truth quality of the papers by asking Alice a question about the ground truth? In this talk\, we address this when the payoff of Alice is additive convex utility over all her papers. First\, if Alice would truthfully answer the question because by doing so her payoff is maximized\, we show that the questions must be formulated as pairwise comparisons between her papers. Moreover\, if Alice is required to provide a ranking of her papers\, which is the most fine-grained question via pairwise comparisons\, we prove that she would be truth-telling. By incorporating the ground-truth ranking\, we show that Bob can obtain an estimator with the optimal squared error in certain regimes based on any possible ways of truthful information elicitation. Moreover\, the estimated grades are substantially more accurate than the raw grades when the number of papers is large and the raw grades are very noisy. Finally\, we conclude the talk with several extensions and some refinements for practical considerations. This is based on arXiv:2206.08149 and arXiv:2110.14802. \nSpeaker Bio: \nWeijie Su is an Associate Professor in the Wharton Statistics and Data Science Department and\, by courtesy\, in the Department of Computer and Information Science\, at the University of Pennsylvania. He is a co-director of Penn Research in Machine Learning. Prior to joining Penn\, he received his Ph.D. from Stanford University in 2016 and his bachelor’s degree from Peking University in 2011. His research interests span deep learning theory\, privacy-preserving data analysis\, optimization\, and high-dimensional statistics. He is a recipient of the Stanford Theodore W. Anderson Dissertation Award in 2016\, an NSF CAREER Award in 2019\, an Alfred Sloan Research Fellowship in 2020\, the SIAM Early Career Prize in Data Science in 2022\, and the IMS Peter Gavin Hall Prize in 2022. URL:https://seasevents.nmsdev7.com/event/asset-seminar-when-will-you-become-the-best-reviewer-of-your-own-papers-a-truthful-owner-assisted-scoring-mechanism-weijie-su-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:20220914T150000 DTEND;TZID=America/New_York:20220914T160000 DTSTAMP:20260405T194051 CREATED:20220909T174248Z LAST-MODIFIED:20220909T174248Z UID:10007270-1663167600-1663171200@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP SFI: Herbert Tanner\, University of Delaware\, "Networked aerial detection of mobile radiation sources" DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom here… \nMobile robotic sensor networks promise cutting edge technological solutions to a broad collection of real-world observation\, detection\, and decision-making problems\, in domains ranging from environmental monitoring\, to emergency response\, to national security. Nuclear nonproliferation is a particular domain international implications in the latter area\, framing an active sensing application problem where robots are called to rapidly detect radiological material in transit. Our approach to tackling this engineering challenge is rooted in our conviction that robot control\, estimation\, and decision making are all intrinsically interlinked and necessitate co-design\, where measurement statistics should directly inform robot control and navigation\, and estimation should leverage robot motion planning. The approach led to the development of a networked active sensing architecture for groups of aerial vehicles equipped with commercial off-the-shelf radiation sensors which can achieve an order of magnitude improvement in detection performance over alternative solutions at that time. This success also highlights the importance of model-driven measurement and measurement-informed robot deployment strategies. URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-herbert-tanner-university-of-delaware-networked-aerial-detection-of-mobile-radiation-sources/ 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:20220914T153000 DTEND;TZID=America/New_York:20220914T163000 DTSTAMP:20260405T194051 CREATED:20220909T195134Z LAST-MODIFIED:20220909T195134Z UID:10007271-1663169400-1663173000@seasevents.nmsdev7.com SUMMARY:CBE Seminar Series: "A Molecular Scale Understanding of Electrified Separations and Catalysis" (Marta Hatzell\, Georgia Institute of Technology) DESCRIPTION: URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-a-molecular-scale-understanding-of-electrified-separations-and-catalysis-marta-hatzell-georgia-institute-of-technology/ 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:20220915T103000 DTEND;TZID=America/New_York:20220915T113000 DTSTAMP:20260405T194051 CREATED:20220901T172206Z LAST-MODIFIED:20220901T172206Z UID:10007248-1663237800-1663241400@seasevents.nmsdev7.com SUMMARY:ESE Fall Colloquium - "Steampunk Data Science" DESCRIPTION:How did scientists make sense of data before statistics and computing? This talk will explore this question by focusing on the discovery of vitamins\, which occurred in the early 20th century just before the advent of modern statistical methodology. I will describe the varied practices in experimentation and reporting and highlight the sorts of insights required to uncover what “works.” Through this discussion\, I will draw connections to contemporary data science tools to illustrate their pros and cons in facilitating discovery. URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-steampunk-data-science/ LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar,Colloquium ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220915T103000 DTEND;TZID=America/New_York:20220915T113000 DTSTAMP:20260405T194051 CREATED:20220908T210846Z LAST-MODIFIED:20220908T210846Z UID:10007259-1663237800-1663241400@seasevents.nmsdev7.com SUMMARY:MSE Seminar: "Bioinstructive Materials Regulate Inflammation in Cancer and Regeneration" DESCRIPTION:Fibrosis and remodeling of extracellular matrix are involved in many diseases\, such as tumors\, wound healing\, and chronic inflammation. During fibrosis\, tissues undergo changes in their viscoelastic properties\, i.e.\, how they resist deformation like a solid and dissipate stress over time like a fluid. My research program determines the impact of viscoelasticity on inflammation in fibrotic tissues and develops new immune therapies in cancer and regeneration. I study the role of monocytes\, which infiltrate into tissue and differentiate into phagocytic and antigen-presenting cells\, such as macrophages and dendritic cells. I utilize an artificial extracellular matrix to dissect a mechanical checkpoint of monocyte fate and develop strategies to target monocytes in hematopoietic malignancies and head and neck cancer. Further\, I develop biomaterials that interface with dental tissues to modulate inflammation and support regeneration. Overall\, my long-term goal is to determine how extracellular matrix physically impacts inflammation and to develop therapies targeting immuno-mechanical signaling. URL:https://seasevents.nmsdev7.com/event/mse-seminar-bioinstructive-materials-regulate-inflammation-in-cancer-and-regeneration/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220915T153000 DTEND;TZID=America/New_York:20220915T163000 DTSTAMP:20260405T194051 CREATED:20220812T143236Z LAST-MODIFIED:20220812T143236Z UID:10007223-1663255800-1663259400@seasevents.nmsdev7.com SUMMARY:BE/MEAM Seminar: "Synthetic Embryology for Constructing Human Embryo and Organ Models" (Jianping Fu\, University of Michigan) DESCRIPTION:This is a hybrid seminar held in Glandt Forum (Singh Center) and via Zoom. Check email for the zoom link or contact cd0318@seas.upenn.edu. \n“Synthetic Embryology for Constructing Human Embryo and Organ Models” \nEarly human development remains mysterious and difficult to study.  Recent advances in developmental biology\, stem cell biology\, and bioengineering have contributed to a significant interest in constructing stem cell-based models of human embryo and organs (embryoids / organoids).  The controllability and reproducibility of these human development models\, coupled with the ease of genetically modifying stem cell lines\, the ability to manipulate culture conditions and the simplicity of live imaging\, make them robust and attractive systems to disentangle cellular behaviors and signaling interactions that drive human development.  In this talk\, I will describe our effort in using human pluripotent stem cells (hPSCs) to develop controllable models of the peri-implantation embryonic development and neural development.  The peri-implantation human embryoids recapitulate key early post-implantation developmental landmarks successively\, including pro-amniotic cavity formation\, amniotic ectoderm-epiblast patterning\, primordial germ cell specification\, and development of the primitive streak with controlled anteroposterior polarity.  I will further discuss an hPSC-based neuroectoderm patterning model to recapitulate the formation of the neural plate and another more recently developed\, patterned neural tube model with fully defined anterior-posterior and dorsal-ventral axes.  Specifically\, the patterned neural tube model recapitulates neural patterning along two orthogonal axes in a three-dimensional tubular geometry\, offering in vivo-like tissue architecture and spatiotemporal tissue patterning\, promising for studying human neurodevelopment and diseases. URL:https://seasevents.nmsdev7.com/event/be-meam-seminar-jianping-fu-university-of-michigan/ 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:20220916T103000 DTEND;TZID=America/New_York:20220916T114500 DTSTAMP:20260405T194051 CREATED:20220907T182751Z LAST-MODIFIED:20220907T182751Z UID:10007258-1663324200-1663328700@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP Seminar: GRASP Research Overview - Day 2 DESCRIPTION:GRASP Lab faculty confirmed presentations (where appropriate their presenters)…\n*This is a HYBRID Event with in-person attendance in Wu & Chen Auditorium and virtual attendance via Zoom. \nDr. Ani Hsieh (Welcome and introductions)\nDr. Nadia Figueroa\nDr. Daniel Koditschek\nDr. Vijay Kumar (presented by Kelsey Saulnier)\nDr. Nik Matni (presented by Thomas Zhang)\nDr. Marc Miskin\nDr. George Pappas (presented by Dr. Lars Lindenmann)\nDr. Cynthia Sung URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-seminar-grasp-research-overview-day-2/ 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:20220916T120000 DTEND;TZID=America/New_York:20220916T130000 DTSTAMP:20260405T194051 CREATED:20220920T142355Z LAST-MODIFIED:20220920T142355Z UID:10007291-1663329600-1663333200@seasevents.nmsdev7.com SUMMARY:Theory Seminar- Aaron Roth (University of Pennsylvania) DESCRIPTION:Abstract: \nDawid gives two conceptualizations for models of individual probabilities: “Group to Individual” and “Individual to Group”. A classical concern about the “Group to Individual” view of probability is the reference class problem: Given that we can empirically measure only averages over many individuals\, which group or “reference class” do we choose to average over when estimating the probability for an individual? Machine Learning on the other hand operates in the “Individual to Group” conceptualization: models purport to assign probabilities to individuals\, which can be aggregated over to obtain group probabilities. Multicalibration gives us a way to obtain models that predict individual probabilities that are consistent with an arbitrary number of reference classes. But (with finite data) it does not solve the “model multiplicity” problem: there may be multiple models that are multicalibrated that assign many people very different individual probabilities. How are we to adjudicate between such models? We argue that if two parties agree on the data distribution\, then they cannot agree to disagree on (very many) individual probabilities\, even given access only to a small number of samples from the distribution. \nJoint work with Alexander Tolbert and Scott Weinstein URL:https://seasevents.nmsdev7.com/event/theory-seminar-aaron-roth-university-of-pennsylvania/ LOCATION:Room 401B\, 3401 Walnut\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar ORGANIZER;CN="The Warren Center":MAILTO:Lhoot@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220920T100000 DTEND;TZID=America/New_York:20220920T113000 DTSTAMP:20260405T194051 CREATED:20220822T203637Z LAST-MODIFIED:20220822T203637Z UID:10007233-1663668000-1663673400@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Open Access Benchmark Datasets and Metamodels for Problems in Mechanics" DESCRIPTION:Metamodels\, or models of models\, map defined model inputs to defined model outputs. When metamodels are constructed to be computationally cheap\, they are an invaluable tool for applications ranging from topology optimization\, to uncertainty quantification\, to real-time prediction\, to multi-scale simulation. In particular\, for heterogeneous materials\, metamodels are useful for exploring the influence of the (potentially massive) heterogeneous material property parameter space. By nature\, a given metamodel will be tailored to a specific dataset. However\, the most pragmatic metamodel type and structure will often be general to larger classes of problems. At present\, the most pragmatic metamodel selection for dealing with mechanical data — specifically simulations of heterogenous materials — has not been thoroughly explored. In this work\, we draw inspiration from the benchmark datasets available to the computer vision research community. These benchmark datasets have both made it feasible to compare different methods for solving the same problem\, and inspired new directions for method development. In response\, we introduce benchmark datasets for engineering mechanics problems (for example\, the Mechanical MNIST Collection https://open.bu.edu/handle/2144/39371 [1\,2\,3]). Then\, we show some example problems that we are exploring with these datasets such as our methodology for constructing metamodels for predicting full field quantities of interest (e.g.\, full field displacements\, stress\, strain\, or damage variable)\, and for leveraging information from multiple simulation fidelities\, and for predicting out of distribution behavior. Looking forward\, we anticipate that disseminating both these benchmark datasets and our computational methods will enable the broader community of researchers to develop improved techniques for understanding the behavior of spatially heterogeneous materials. We also hope to inspire others to use our datasets for educational and research purposes\, and to disseminate datasets and metamodels specific to their own areas of interest (https://elejeune11.github.io/). \n[1] Lejeune\, E. (2020). Mechanical MNIST: A benchmark dataset for mechanical metamodels. Extreme Mechanics Letters\, 36\, 100659.\n[2] Lejeune\, E.\, & Zhao\, B. (2020). Exploring the potential of transfer learning for metamodels of heterogeneous material deformation. Journal of the Mechanical Behavior of Biomedical Materials\, 104276.\n[3] Mohammadzadeh\, S.\, & Lejeune\, E. (2022). Predicting mechanically driven full-field quantities of interest with deep learning-based metamodels. Extreme Mechanics Letters\, 50\, 101566. URL:https://seasevents.nmsdev7.com/event/meam-seminar-open-access-benchmark-datasets-and-metamodels-for-problems-in-mechanics/ 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:20220920T153000 DTEND;TZID=America/New_York:20220920T163000 DTSTAMP:20260405T194051 CREATED:20220915T134909Z LAST-MODIFIED:20220915T134909Z UID:10007289-1663687800-1663691400@seasevents.nmsdev7.com SUMMARY:CIS Seminar: "Live Programming and Programming by Example: Better Together" DESCRIPTION:Live programming is a paradigm in which values from program execution are shown to the programmer through continual feedback. Programming by example is a paradigm in which code is synthesized from example values showing a desired behavior. This talk presents some of our recent research that combines these two paradigms in beneficial ways. I will walk through our ideas\, explain our contributions\, discuss what we learned and finally provide thoughts for the future. URL:https://seasevents.nmsdev7.com/event/cis-seminar-live-programming-and-programming-by-example-better-together/ 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:20220921T120000 DTEND;TZID=America/New_York:20220921T133000 DTSTAMP:20260405T194051 CREATED:20220907T163646Z LAST-MODIFIED:20220907T163646Z UID:10007254-1663761600-1663767000@seasevents.nmsdev7.com SUMMARY:ASSET Seminar: Explainable AI via Semantic Information Pursuit (René Vidal\, Johns Hopkins University) DESCRIPTION:Presentation Abstract: \nThere is a significant interest in developing ML algorithms whose final predictions can be explained in domain-specific terms that are understandable to a human. Providing such an “explanation” can be crucial for the adoption of ML algorithms in risk-sensitive domains such as healthcare. This has motivated a number of approaches that seek to provide explanations for existing ML algorithms in a post-hoc manner. However\, many of these approaches have been widely criticized for a variety of reasons and no clear methodology exists for developing ML algorithms whose predictions are readily understandable by humans. To address this challenge\, we develop a method for constructing high performance ML algorithms that are “explainable by design”. Namely\, our method makes its prediction by asking a sequence of domain- and task-specific yes/no queries about the data (akin to the game “20 questions”)\, each having a clear interpretation to the end-user. We then minimize the expected number of queries needed for accurate prediction on any given input. This allows for human interpretable understanding of the prediction process by construction\, as the questions which form the basis for the prediction are specified by the user as interpretable concepts about the data. Experiments on vision and NLP tasks demonstrate the efficacy of our approach and its superiority over post-hoc explanations. Joint work with Aditya Chattopadhyay\, Stewart Slocum\, Benjamin Haeffele and Donald Geman. \nSpeaker Bio: \nDr. René Vidal is the Herschel Seder Professor of Biomedical Engineering\, and the Director of the Mathematical Institute for Data Science (MINDS)\, the NSF-Simons Collaboration on the Mathematical Foundations of Deep Learning and the NSF TRIPODS Institute on the Foundations of Graph and Deep Learning at Johns Hopkins University. He is also an Amazon Scholar\, Chief Scientist at NORCE\, and Associate Editor in Chief of TPAMI. His current research focuses on the foundations of deep learning and its applications in computer vision and biomedical data science. He is an AIMBE Fellow\, IEEE Fellow\, IAPR Fellow and Sloan Fellow\, and has received numerous awards for his work\, including the IEEE Edward J. McCluskey Technical Achievement Award\, D’Alembert Faculty Award\, J.K. Aggarwal Prize\, ONR Young Investigator Award\, NSF CAREER Award as well as best paper awards in machine learning\, computer vision\, controls\, and medical robotics. URL:https://seasevents.nmsdev7.com/event/asset-seminar-explainable-ai-via-semantic-information-pursuit-rene-vidal-johns-hopkins-university/ 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:20220921T150000 DTEND;TZID=America/New_York:20220921T160000 DTSTAMP:20260405T194051 CREATED:20220916T185218Z LAST-MODIFIED:20220916T185218Z UID:10007294-1663772400-1663776000@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP SFI: Zhongyu Li\, University of California Berkeley\, “Can We Bridge Model-based Control and Model-free RL on Legged Robots?” DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom. \nIn this talk\, I will provide a brief introduction about our recent progress in applying optimal control and deep reinforcement learning (RL) on legged robots in the real world. I will then dive into our recent work to bridge model-based safety-critical control and model-free RL on a highly nonlinear and complex system\, such as a bipedal robot Cassie. Bridging model-based safety and model-free RL for dynamic robots is appealing since model-based methods are able to provide formal safety guarantees\, while RL-based methods are able to exploit the robot agility by learning from the full-order system dynamics. I will discuss a new method to combine them by explicitly finding a low-dimensional model of the system controlled by a RL policy and applying stability and safety guarantees on that simple model. \n  URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-zhongyu-li-university-of-california-berkeley-can-we-bridge-model-based-control-and-model-free-rl-on-legged-robots/ LOCATION:Room 307\, 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:20220921T153000 DTEND;TZID=America/New_York:20220921T163000 DTSTAMP:20260405T194051 CREATED:20220909T195257Z LAST-MODIFIED:20220909T195257Z UID:10007272-1663774200-1663777800@seasevents.nmsdev7.com SUMMARY:CBE Seminar Series: "Quantitative Insights for Rapid Improvement of Sustainable Energy and Chemical Technologies" (Micah Ziegler\, Massachusetts Institute of Technology) DESCRIPTION: URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-quantitative-insights-for-rapid-improvement-of-sustainable-energy-and-chemical-technologies-micah-ziegler-massachusetts-institute-of-technology/ 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:20220922T103000 DTEND;TZID=America/New_York:20220922T113000 DTSTAMP:20260405T194051 CREATED:20220914T165103Z LAST-MODIFIED:20220914T165103Z UID:10007286-1663842600-1663846200@seasevents.nmsdev7.com SUMMARY:MSE Seminar: "Materials Growth and Discovery for Magnetic and Quantum Applications" DESCRIPTION:For functional materials that are in a nascent stage\, such as the antiferromagnetic spintronics\, quantum information storage\, and new semiconducting compounds\, it is not clear what will be the high-performance materials of tomorrow. There is a pressing need to examine the complex properties of these emerging materials\, and growing single crystals is a crucial step toward investigating their properties in detail. I will explain why measuring transport\, optical\, and magnetic properties are important in these systems\, and how to determine their anisotropy. Due to the required millimeter dimensions\, they must be grown from solutions\, fluxes\, or vapors. This process is often hard to observe\, and highly kinetically dependent\, so in situ techniques can be especially valuable to understand how to grow larger or better crystals\, how to choose phases more precisely\, and how to discover entirely new materials. With a clearer view of how materials form\, we can critically evaluate computational predictions (ab initio or machine-learned methods) and explore novel reactions to target new phases. URL:https://seasevents.nmsdev7.com/event/mse-seminar-materials-growth-and-discovery-for-magnetic-and-quantum-applications/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220923T103000 DTEND;TZID=America/New_York:20220923T114500 DTSTAMP:20260405T194051 CREATED:20220919T135946Z LAST-MODIFIED:20220919T135946Z UID:10007295-1663929000-1663933500@seasevents.nmsdev7.com SUMMARY:Fall 2022 GRASP Seminar: GRASP Affiliated Faculty Research Overview DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \n\n\nDr. James Pikul\nSimon Kim\, AIA (via Zoom)\nDr. Rahul Mangharam\nDr. Robert Stuart Smith (via Zoom)\n\n\n\nFor more details\, please check out the full speaker line-up here. URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-seminar-grasp-affiliated-faculty-research-overview/ 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:20220923T120000 DTEND;TZID=America/New_York:20220923T130000 DTSTAMP:20260405T194051 CREATED:20220920T142725Z LAST-MODIFIED:20220920T142725Z UID:10007292-1663934400-1663938000@seasevents.nmsdev7.com SUMMARY:Theory Seminar- Recent Developments in Combinatorial Auctions\, Matt Weinberg (Princeton University) DESCRIPTION:Abstract: In a combinatorial auction there are m items\, and each of n players has a valuation function v_i which maps sets of items to non-negative reals. A designer wishes to partition the items into S_1\,…\,S_n to maximize the welfare (\sum_i v_i(S_i) )\, perhaps assuming that all v_i lie in some class V (such as submodular\, subadditive\, etc.). \nWithin Algorithmic Game Theory\, this problem serves as a lens through which to examine the interplay between computation and incentives. For example: is it the case that whenever a poly-time/poly-communication algorithm for honest players can achieve an approximation guarantee of c when all valuations lie in V\, a poly-time/poly-communication truthful mechanism for strategic players can achieve an approximation guarantee of c when all valuations lie in V as well? \nIn this talk\, I’ll give a brief history\, then survey three recent results on this topic which: \n– provide the first separation between achievable guarantees of poly-communication algorithms and poly-communication truthful mechanisms for any V (joint works with Mark Braverman and Jieming Mao\, and with Sepehr Assadi\, Hrishikesh Khandeparkar\, and Raghuvansh Saxena). \n– revisit existing separations between poly-time algorithms and poly-time truthful mechanisms via a new solution concept “Implementation in Advised Strategies” (joint work with Linda Cai and Clayton Thomas). \n– resolve the communication complexity of combinatorial auctions for two subadditive players (joint work with Tomer Ezra\, Michal Feldman\, Eric Neyman\, and Inbal Talgam-Cohen\, time-permitting). URL:https://seasevents.nmsdev7.com/event/theory-seminar-recent-developments-in-combinatorial-auctions-matt-weinberg-princeton-university/ LOCATION:Room 401B\, 3401 Walnut\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar ORGANIZER;CN="The Warren Center":MAILTO:Lhoot@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220923T133000 DTEND;TZID=America/New_York:20220923T143000 DTSTAMP:20260405T194051 CREATED:20220913T172841Z LAST-MODIFIED:20220913T172841Z UID:10007283-1663939800-1663943400@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Manually-Operated\, Slider Cassette for Multiplexed Molecular Detection at the Point of Care" DESCRIPTION:Effective control of epidemics\, individualized medicine\, and new drugs with virologic response-dependent dose and timing require\, among other things\, simple\, inexpensive\, multiplexed molecular detection platforms suitable for point of care and for home use. Conventional molecular detection methods such as PCR tests\, require bulky and expensive equipment\, trained personnel\, and specialized laboratories\, limiting their use to centralized facilities. \nIn this talk\, I will describe our 3D-printed slider cassette for the co-detection of the human immunodeficiency virus (HIV)\, hepatitis B virus (HBV)\, and hepatitis C virus (HCV) – three blood-borne pathogens that co-infect numerous people worldwide with severe personal and public health consequences. Novel features of our cassette include the integration of sample processing; nucleic acid isolation and concentration\, isothermal amplification\, minimally instrumented and instrument free detection; refrigeration-free storage of reagents; the ability to co-detect multiple pathogens\, and minimal requirements from the user. Furthermore\, the various processes in our devices can be incubated electricity-free with heat provided by an exothermic reaction and temperature control with phase change materials. URL:https://seasevents.nmsdev7.com/event/meam-seminar-manually-operated-slider-cassette-for-multiplexed-molecular-detection-at-the-point-of-care/ LOCATION:Room 2C8\, David Rittenhouse Laboratory Building\, 209 South 33rd 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:20220926T130000 DTEND;TZID=America/New_York:20220926T140000 DTSTAMP:20260405T194051 CREATED:20220901T140045Z LAST-MODIFIED:20220901T140045Z UID:10007240-1664197200-1664200800@seasevents.nmsdev7.com SUMMARY:PSOC Seminar: "Compromised nuclear envelope integrity leads to tumor cell invasion" (Guilherme Nader\, CHOP) DESCRIPTION:Fall 2022 Hybrid-Seminar Series \nMondays 1.00-2.00 pm (EST) \nTowne 225 / Raisler Lounge   \nFor Zoom link\, please contact 109 nanoscale magnetophoretic sorting devices in a postage-stamp-sized lattice with >70x magnetic traps and >20x improved enrichment for magnetic nanoparticles versus previous studies. \nThe understanding of cracking in particle templates\, the developed self-assembly methods\, and the application demonstrations reported in this work may advance the fabrication and applications of high-strength multifunctional porous materials\, providing fundamental insights into the design\, synthesis\, and control of complex hierarchical materials that employ colloid self-assembly. URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-surface-and-interface-engineering-in-manipulation-and-fabrication-of-colloid-based-sub-microporous-hierarchical-materials-and-their-applications/ LOCATION:Moore 212 CATEGORIES:Seminar ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220928T120000 DTEND;TZID=America/New_York:20220928T133000 DTSTAMP:20260405T194051 CREATED:20220907T163817Z LAST-MODIFIED:20220907T163817Z UID:10007255-1664366400-1664371800@seasevents.nmsdev7.com SUMMARY:ASSET Seminar: Equivariance in Deep Learning\, Kostas Daniilidis (University of Pennsylvania) DESCRIPTION:ABSTRACT\nTraditional convolutional networks exhibit unprecedented robustness to intraclass nuisances when trained on big data. Generalization with respect to geometric transformations has been achieved via expensive data augmentation. It has been shown recently that data augmentation can be avoided if networks are structured such that feature representations are transformed the same way as the input\, a desirable property called equivariance. In this talk\, we show how equivariance can be realized via group convolutions\, how to deal with vector and tensor fields\, and how we achieve equivariance in transformers. We present results on 3D shape classification and scene reconstruction based on learning only objects but not scenes. \nBIO \nKostas Daniilidis has been faculty at the University of Pennsylvania since 1998.  He is an IEEE Fellow. He was the director of the GRASP laboratory from 2008 to 2013. He obtained his Ph.D. in Computer Science from the University of Karlsruhe (now KIT) in 1992. He is a co-recipient of the Best Conference Paper Award at ICRA 2017. Kostas’ main interest today is in geometric deep learning\, event-based neuromorphic vision\, and their applications in vision-based manipulation and navigation. URL:https://seasevents.nmsdev7.com/event/asset-seminar-kostas-daniilidis-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 END:VCALENDAR