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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220913T100000
DTEND;TZID=America/New_York:20220913T113000
DTSTAMP:20260405T175536
CREATED:20220907T182148Z
LAST-MODIFIED:20220907T182148Z
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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:20260405T175536
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:20260405T175536
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:20260405T175536
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:20260405T175536
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:20260405T175536
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:20260405T175536
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:20260405T175536
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:20260405T175536
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:20260405T175536
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
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