BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Penn Engineering Events - ECPv6.15.20//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:20180311T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20181104T060000 END:STANDARD 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 END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20190408T130000 DTEND;TZID=America/New_York:20190408T150000 DTSTAMP:20260409T010236 CREATED:20190327T182653Z LAST-MODIFIED:20190327T182653Z UID:10006206-1554728400-1554735600@seasevents.nmsdev7.com SUMMARY:Doctoral Dissertation Defense: "Hyperpolarized Carbon-13 Magnetic Resonance Imaging as a Tool for Assessing Lung Transplantation Outcomes" DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Rahim Rizi are pleased to announce the Doctoral Dissertation Defense of Sarmad Siddiqui.\n\nThe public is welcome to attend.\n\nLocation: Donner Auditorium\, Basement HUP. URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-defense-hyperpolarized-carbon-13-magnetic-resonance-imaging-as-a-tool-for-assessing-lung-transplantation-outcomes/ LOCATION:PA CATEGORIES:Doctoral,Dissertation or Thesis Defense END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20190409T103000 DTEND;TZID=America/New_York:20190409T120000 DTSTAMP:20260409T010236 CREATED:20190222T171217Z LAST-MODIFIED:20190222T171217Z UID:10006177-1554805800-1554811200@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Integrating Manufacturing and Topological Optimization for the Design of Architected Materials and Components" DESCRIPTION:Topology optimization has long been touted as a powerful tool capable of discovering innovative solutions to engineering design problems. It has been used to design ‘structures’ characterized at a range of length scales\, from tens of microns (material architectures) to decameters (structures)\, for performance properties governed by a range of physics. Despite its tremendous potential as a design tool\, topology optimized solutions are typically suboptimal when considering real-world operating conditions\, design objectives\, and manufacturing processes\, and thus may require significant post-processing and re-design which is both detrimental and time consuming. This talk will review the topology optimization methodology and discuss our efforts at overcoming these shortcomings\, with a particular emphasis on providing the design engineer geometric control to enable design for manufacturability. Several design examples will be presented including architected materials\, components and devices that are fabricated through additive manufacturing\, machining or 3D weaving\, and optimized for mechanical\, fluidic\, and/or thermal properties. URL:https://seasevents.nmsdev7.com/event/meam-seminar-integrating-manufacturing-and-topological-optimization-for-the-design-of-architected-materials-and-components/ 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:20190409T150000 DTEND;TZID=America/New_York:20190409T160000 DTSTAMP:20260409T010236 CREATED:20190408T190332Z LAST-MODIFIED:20190408T190332Z UID:10006210-1554822000-1554825600@seasevents.nmsdev7.com SUMMARY:CIS Seminar: "Towards a New Synthesis of Reasoning and Learning" DESCRIPTION:This talk discusses the role of logical reasoning in statistical machine learning. While their unification has been a long-standing and crucial open problem\, automated reasoning and machine learning are still disparate fields within artificial intelligence. I will describe recent progress towards their synthesis in three facets.\nI start with a very practical question: how can we enforce logical constraints on the output of deep neural networks to incorporate symbolic knowledge? Second\, I explain how circuits developed for tractable logical reasoning can be turned into statistical models. When brought to bear on a variety of machine learning tasks\, including discrete density estimation and simple image classification\, these probabilistic and logistic circuits yield state-of-the-art results. In a third facet\, I argue for high-level representations of uncertainty\, such as probabilistic programs\, probabilistic databases\, and statistical relational models. These pose unique challenges for inference that can only be overcome by high-level reasoning about their first-order structure to exploit symmetry and exchangeability. URL:https://seasevents.nmsdev7.com/event/cis-seminar-towards-a-new-synthesis-of-reasoning-and-learning/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20190410T150000 DTEND;TZID=America/New_York:20190410T160000 DTSTAMP:20260409T010236 CREATED:20190402T145957Z LAST-MODIFIED:20190402T145957Z UID:10006207-1554908400-1554912000@seasevents.nmsdev7.com SUMMARY:2019 Heilmeier Lecture: "Cell-Matrix Interactions in Cancer and Fibrosis: Multiscale Chemo-Mechanical Models" DESCRIPTION:Cell invasion into the surrounding matrix from nonvascularized primary tumors is the main mechanism by which cancer cells migrate to nearby blood vessels and metastasize to eventually form secondary tumors. This process is mediated by an intricate coupling between intracellular forces and extracellular forces that depend on the stiffness of the surrounding stroma and the alignment of matrix fibers. A multiscale model is used to elucidate the two-way feedback loop between stress-dependent cell contractility and matrix fiber realignment and strain stiffening\, which enables the cells to polarize and enhance their contractility to break free from the tumor and invade into the matrix. Importantly\, Dr. Shenoy’s model can be used to explain how morphological and structural changes in the tumor microenvironment\, such as elevated rigidity and fiber alignment prior to cell invasion\, are prognostic of the malignant phenotype. The model also predicts how the alignment of matrix fibers can recruit macrophages\, which are among the first responders of the innate immune system following organ injury and are crucial for repair\, resolution\, and re-establishing homeostasis of damaged tissue. In this talk\, Shenoy will discuss how the deformation of the nucleus during migration can lead to changes in the spatial organization of chromosomes and their intermingling which can result in genetic mutations and genomic instability. He will also discuss how targeting extracellular matrix mechanics\, by preventing or reversing tissue stiffening or interrupting the cellular response in cancer and fibrosis\, is a therapeutic approach with clinical potential. URL:https://seasevents.nmsdev7.com/event/2019-heilmeier-lecture-cell-matrix-interactions-in-cancer-and-fibrosis-multiscale-chemo-mechanical-models/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20190410T160000 DTEND;TZID=America/New_York:20190410T170000 DTSTAMP:20260409T010236 CREATED:20190110T203646Z LAST-MODIFIED:20190110T203646Z UID:10006133-1554912000-1554915600@seasevents.nmsdev7.com SUMMARY:CBE and Physics Joint Seminar: "Structuring Matter Over Multiple Length Scales Using the Self-assembly of Colloidal Particles" DESCRIPTION: URL:https://seasevents.nmsdev7.com/event/cbe-and-physics-joint-seminar/ LOCATION:David Rittenhouse Lab\, A4\, 209 South 33rd Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20190411T104500 DTEND;TZID=America/New_York:20190411T114500 DTSTAMP:20260409T010236 CREATED:20190403T200310Z LAST-MODIFIED:20190403T200310Z UID:10006208-1554979500-1554983100@seasevents.nmsdev7.com SUMMARY:MSE Seminar: "Nanoscience and Quantum Information Science at the Center for Functional Nanomaterials\, a National Scientific User Facility" DESCRIPTION: URL:https://seasevents.nmsdev7.com/event/mse-seminar-nanoscience-and-quantum-information-science-at-the-center-for-functional-nanomaterials-a-national-scientific-user-facility/ LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Faculty,Doctoral,Graduate,Student,Master's,Postdoctoral ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20190411T150000 DTEND;TZID=America/New_York:20190411T160000 DTSTAMP:20260409T010236 CREATED:20190320T170132Z LAST-MODIFIED:20190320T170132Z UID:10006200-1554994800-1554998400@seasevents.nmsdev7.com SUMMARY:CIS Seminar: " Deep Learning for Network Biomedicine" DESCRIPTION:Abstract:\n\nLarge datasets are being generated that can transform biology and medicine. New machine learning methods are necessary to \nunlock these data and open doors for scientific discoveries. In this talk\, I will argue that\, in order to advance science\, \nmachine learning models should not be trained in the context of one particular dataset. Instead\, we should be developing \nmethods that can integrate rich\, heterogeneous data and knowledge into multimodal networks\, enhance these networks to reduce \nbiases and uncertainty\, and learn over the networks. \n\nMy talk will focus on two key aspects of this goal: deep learning and network science for multimodal networks. I will first \nshow how we can move beyond prevailing deep learning methods\, which treat network features as simple variables and ignore \ninteractions between entities. Further\, I will present an algorithm that learns deep models by embedding multimodal networks \ninto compact embedding spaces whose geometry is optimized to reflect the interactions\, the essence of multimodal networks. \nThese deep models set sights on new frontiers\, including the prediction of protein functions in specific human tissues\, \nmodeling of drug combinations\, and repurposing of old drugs for new diseases. Beyond such predictive ability\, a hallmark of \nscience is to achieve a holistic understanding of the world. I will discuss how we can blend network algorithms with rigorous \nstatistics to harness biomedical networks at the scale of billions of interactions. These methods revealed\, among others\, how \nDarwinian evolution changes molecular networks\, providing evidence for a longstanding hypothesis in biology. In all studies\, I \ncollaborated closely with experimental biologists and clinical scientists to give insights and validate predictions made by our \nmethods. I will conclude with future directions for contextual models of rich interaction data which open up new avenues for science. URL:https://seasevents.nmsdev7.com/event/cis-seminar-deep-learning-for-network-biomedicine/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20190412T160000 DTEND;TZID=America/New_York:20190412T170000 DTSTAMP:20260409T010236 CREATED:20190315T201459Z LAST-MODIFIED:20190315T201459Z UID:10006195-1555084800-1555088400@seasevents.nmsdev7.com SUMMARY:The Joy of Being Faculty: How I Devised My Research Program DESCRIPTION:This professional development workshop is designed to provide Penn Engineering graduate students and postdocs with a richer understanding of what it is like to pursue a career in academia from those that have navigated the process successfully. \nDeputy Dean Kathleen J. Stebe (SEAS) will lead this extemporaneous panel discussions with a mix of both tenured and tenure-track professors from Penn Engineering. URL:https://seasevents.nmsdev7.com/event/the-joy-of-being-faculty-how-i-devised-my-research-program/ LOCATION:Heilmeier Hall (Room 100)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States END:VEVENT END:VCALENDAR