BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Penn Engineering Events 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: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 BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20240310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20241103T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20230412T150000 DTEND;TZID=America/New_York:20230412T160000 DTSTAMP:20260404T194959 CREATED:20230404T180310Z LAST-MODIFIED:20230404T180310Z UID:10007541-1681311600-1681315200@seasevents.nmsdev7.com SUMMARY:Spring 2023 GRASP SFI: Wenzhong Yan\, UCLA\, "Mechanical Intelligence for Compliant Robots" DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. This week’s presenter will be in-person as well. \nABSTRACT\nBiological systems with deformable bodies exhibit remarkable abilities. However\, compliant/soft robots still can not match the capabilities of their biological analogs in terms of adaptability\, physical robustness\, and autonomy partially due to the reliance on rigid\, bulky silicon-based electronics. My research aims to address this challenge by creating self-sustained\, autonomous soft machines through Mechanical Intelligence (MI) — embedding necessary functionalities into compliant materials and structures — with minimal or even no silicon-based electronics. The resulting material-like soft robots can behave like biological organisms\, obtaining energy from the ambiance\, moving on various terrains\, and surviving extreme conditions\, which may find applications in environment monitoring\, rescue\, exploration\, human-machine interaction\, education\, etc. \nIn this talk\, I will demonstrate the power of MI by achieving locomotion and autonomous interaction with the environment of soft robots in compliant origami materials and structures with high robustness to adversarial events\, e.g.\, radiation and physical deformation. Firstly\, I will show how to realize self-sustained oscillation by incorporating bistable mechanisms and conductive artificial muscles without discrete components or electronic control hardware. This oscillation can be used to generate locomotion for robots with only constant electrical power. Then\, I will present an efficient method to rapidly design such oscillators from desired behavioral specifications\, i.e. frequency. This method provides a powerful tool for facilitating the modeling\, designing\, and prototyping of such complicated dynamic compound systems. I will also introduce a method to achieve complete sense-decide-act loops in compliant materials for autonomous interaction with environments\, demonstrated with several robots. I will close my talk with a preview of how to use MI to improve adaptability and convert/harvest environmental energy to power robots\, toward achieving my ultimate goal of creating self-sustained soft robots to allow their widespread deployment into complex\, extreme environments to perform challenging tasks. URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-sfi-wenzhong-yan/ LOCATION:Levine 307\, 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:20230412T120000 DTEND;TZID=America/New_York:20230412T133000 DTSTAMP:20260404T194959 CREATED:20230222T155035Z LAST-MODIFIED:20230222T155035Z UID:10007492-1681300800-1681306200@seasevents.nmsdev7.com SUMMARY:ASSET Seminar: Machine Learning: A Data-Centric Perspective\, Aleksander Madry (Massachusetts Institute of Technology) DESCRIPTION:ABSTRACT: \nThe training data that modern machine learning models ingest has a major impact on these models’ performance (as well as failures). Yet\, this impact tends to be neither fully appreciated nor understood at a fine-grained enough level. \nIn this talk\, we will discuss some of the key ways in which training data influences not only what but also how models “learn” as well as tools to dissect this influence. In particular\, we will present a new framework—called datamodeling—for directly casting predictions as functions of training data and the corresponding model class. This framework enables us to perform a range of model class-driven data analysis\, including discovery of subpopulations\, quantifying brittleness of model predictions\, and diagnosing other shortcomings of the training set. URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-aleksander-madry-massachusetts-institute-of-technology-2/ 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:20230411T100000 DTEND;TZID=America/New_York:20230411T113000 DTSTAMP:20260404T194959 CREATED:20230331T202642Z LAST-MODIFIED:20230331T202642Z UID:10007538-1681207200-1681212600@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Mechanically Guided Assembly of Complex 3D Mesostructures and Shape-Programmable Surfaces" DESCRIPTION:The development of approaches to design and manufacture complex 3D functional mesoscopic structures in advanced materials is a topic of increasing research interest. Previous options in forming 3D mesostructures are\, however\, constrained by a narrow accessible range of materials or 3D geometries. In this talk\, I will first introduce a versatile\, mechanical approach to deterministically assemble sophisticated 3D mesoscale structures\, guided by mechanics analysis\, from planar 2D structures through controlled compressive buckling. To enhance the geometric diversity and functionality of 3D mesostructures\, various mechanics-guided design strategies\, for both the 2D precursor structures and the supporting substrates\, will be demonstrated. Based on this mechanical assembly approach\, many unique opportunities for 3D bio-integrated functional systems exist\, for example\, 3D multifunctional neural interfaces for cortical spheroids and 3D artificial microvascular networks. Precisely defined 3D geometries and deterministically distributed functional components through well-defined volumetric spaces\, for unconventional approaches to neuromodulation\, sensing\, and regulation\, highlight the design versatility driven by mechanics analysis. I will also briefly present a soft\, shape-programmable system that exploits liquid metal microfluidic networks embedded in an elastomer matrix\, with electromagnetic forms of actuation\, to achieve a unique set of properties. Key features include fast and continuous surface shape morphing and reprogramming with access to a diverse set of 3D shapes originating from a single 2D planar configuration and well-controlled 4D (spatiotemporal) electronic programmability. Mechanics methods capable of precisely predicting complex 3D surface shape transformations in non-uniform magnetic fields serve as the design tool for various 3D target shapes. URL:https://seasevents.nmsdev7.com/event/meam-seminar-mechanically-guided-assembly-of-complex-3d-mesostructures-and-shape-programmable-surfaces/ 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:20230410T140000 DTEND;TZID=America/New_York:20230410T160000 DTSTAMP:20260404T194959 CREATED:20230323T152539Z LAST-MODIFIED:20230323T152539Z UID:10007526-1681135200-1681142400@seasevents.nmsdev7.com SUMMARY:BE Doctoral Dissertation Defense: "Fibrillar Collagen Modulation of Extracellular Matrix Structure and Organization Following Tendon Injury" (Jaclyn Carlson) DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Louis Soslowsky are pleased to announce the Doctoral Dissertation Defense of Jaclyn Carlson. \nTitle: Fibrillar Collagen Modulation of Extracellular Matrix Structure and Organization Following Tendon Injury \nDate: April 10\, 2023\nTime: 2pm\nLocation: CRB\, Austrian Auditorium \nZoom Link: https://upenn.zoom.us/j/97931643342 \nThe public is welcome to attend. URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-fibrillar-collagen-modulation-of-extracellular-matrix-structure-and-organization-following-tendon-injury-jaclyn-carlson/ LOCATION:CRB Auditorium\, 415 Curie Boulevard\, 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:20230410T110000 DTEND;TZID=America/New_York:20230410T120000 DTSTAMP:20260404T194959 CREATED:20230331T154400Z LAST-MODIFIED:20230331T154400Z UID:10007537-1681124400-1681128000@seasevents.nmsdev7.com SUMMARY:ESE Spring Seminar - "Towards Scalable Multi-User Wireless Networking in mmWave and Terahertz Spectrum" DESCRIPTION:Millimeter-wave and terahertz bands are emerging as the most promising spectrum to meet the data-rate and latency demands of future wireless applications\, including virtual reality and autonomous cars. Moreover\, the large spectral availability together with the mm-scale wavelength\, opens the opportunity of scaling the capacity of future wireless networks by supporting highly directional\, high data rate multi-user transmission and reception. My research builds a foundation for scalable multi-user wireless systems in such high-frequency regimes yielding a paradigm shift in the design and development of future wireless systems. In this talk\, I will begin by presenting emerging transceiver architecture that can enable directional sub-THz steering without traditional multi-antenna arrays. I will discuss how to exploit the key characteristics of sub-THz signals and the proposed architecture to enable the first scalable single-shot single-antenna multi-user system in THz bands with angularly dispersive links that are robust to client and environmental mobility. By exploiting electro-magnetics of antenna to protocol design\, signal processing\, and end-to-end system design with analytical model-driven evaluations and over-the-air experiments\, I will show how the multi-user performance of an angularly dispersive THz link fundamentally depends on frequency\, angle\, and bandwidth utilized by users\, through non-linear mechanisms and achieving close to Tb/s aggregate data rates using just a single-element antenna link. I will then discuss the opportunities offered by this platform to enhance next-generation communication and sensing capabilities in unprecedented ways. In particular\, we tackle the mobility\, blockage\, and scalability challenges of highly directional wireless networks by efficiently adapting steering direction for mobile users. Finally\, I will share several research directions in wireless networking\, sensing\, and security in mmWave and THz networks that I would like to pursue in the future. URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-towards-scalable-multi-user-wireless-networking-in-mmwave-and-terahertz-spectrum/ LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Colloquium ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230407T140000 DTEND;TZID=America/New_York:20230407T150000 DTSTAMP:20260404T194959 CREATED:20230327T140734Z LAST-MODIFIED:20230327T140734Z UID:10007531-1680876000-1680879600@seasevents.nmsdev7.com SUMMARY:PICS Colloquium: "Deep Anomaly Detection using Coincident Learning" DESCRIPTION:Anomaly detection is a crucial task in the operation of complex systems such as industrial facilities\, manufacturing plants\, and large-scale science experiments. Failures in a sub-system can result in low yield\, faulty products\, or damage to components\, making it essential to detect anomalies as quickly as possible. Despite the abundance of data available for complex systems\, labeled anomalies are rare and expensive to obtain. To address this issue\, we present a novel approach called CoAD that trains anomaly detection models on unlabeled data by leveraging the correlation between sub-systems and products. CoAD works by analyzing two data streams\, s and q\, which represent subsystem diagnostics and final product quality\, respectively. We define an unsupervised metric\, akin to the supervised classification F_beta statistic\, to assess the performance of independent anomaly detection algorithms on s and q based on their coincidence rate. Our method is demonstrated in four cases\, including a synthetic outlier data set\, a synthetic imaging data set generated from MNIST\, a metal milling data set\, and a data set obtained from a particle accelerator. By using CoAD\, we can detect anomalies in complex systems more effectively\, even when labeled anomalies are scarce. \nEmail jnespos@seas.upenn.edu for the Zoom link. URL:https://seasevents.nmsdev7.com/event/pics-colloquium-deep-anomaly-detection-using-coincident-learning/ LOCATION:https://upenn.zoom.us/j/96715197752 CATEGORIES:Colloquium ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230406T143000 DTEND;TZID=America/New_York:20230406T153000 DTSTAMP:20260404T194959 CREATED:20230328T194407Z LAST-MODIFIED:20230328T194407Z UID:10007535-1680791400-1680795000@seasevents.nmsdev7.com SUMMARY:IoT4Ag Seminar: Sensing and Robotics for Specialty Crop Production DESCRIPTION:Register to attend via Zoom URL:https://seasevents.nmsdev7.com/event/iot4ag-seminar-sensing-and-robotics-for-specialty-crop-production/ LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230406T130000 DTEND;TZID=America/New_York:20230406T150000 DTSTAMP:20260404T194959 CREATED:20230314T131648Z LAST-MODIFIED:20230314T131648Z UID:10007515-1680786000-1680793200@seasevents.nmsdev7.com SUMMARY:BE Doctoral Dissertation Defense: "Investigating the Role of Lipid Droplets as Intracellular Mechanical Stressors in Non-alcoholic Fatty Liver Disease" (Abigail Lonker) DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Rebecca Wells are pleased to announce the Doctoral Dissertation Defense of Abigail Lonker. \nTitle: Investigating the Role of Lipid Droplets as Intracellular Mechanical Stressors in Non-alcoholic Fatty Liver Disease \nDate: April 6\, 2023\nTIme: 1:00 PM\nLocation: Smilow Center for Translational Research in SCTR 11-146AB \nThe public is welcome to attend. URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-investigating-the-role-of-lipid-droplets-as-intracellular-mechanical-stressors-in-non-alcoholic-fatty-liver-disease-abigail-lonker/ LOCATION:Smilow Center for Translational Research in SCTR 11-146AB 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:20230406T103000 DTEND;TZID=America/New_York:20230406T113000 DTSTAMP:20260404T194959 CREATED:20230328T134651Z LAST-MODIFIED:20230328T134651Z UID:10007534-1680777000-1680780600@seasevents.nmsdev7.com SUMMARY:MSE Seminar: "Designing Quantum Properties and Functionalities in Heterostructures" (MIT) DESCRIPTION:Interfaces in heterostructures often exhibit emergent physical properties that are absent in the constituent layers. These heterostructures\, together with their compatibility with nanofabrication\, are promising for constructing functional quantum devices. I will illustrate the capability of such heterostructure engineering by taking two examples. I will first explain our discovery of a versatile method for synthesizing ferroelectric materials from non-ferroelectric two-dimensional (2D) materials: by physically stacking two monolayer boron nitrides at controlled angles\, novel types of ferroelectricity emerge at the interface. I will demonstrate its functionality as one of the world’s thinnest ferroelectric non-volatile memories at room temperature. As another example\, I will demonstrate the versatile spintronic functionalities of topological insulator heterostructures synthesized by a thin film growth method. I will conclude by discussing how we can overcome the limits of existing heterostructure engineering for the future design of quantum materials and functionalities. URL:https://seasevents.nmsdev7.com/event/mse-seminar-designing-quantum-properties-and-functionalities-in-heterostructures-mit/ 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:20230405T150000 DTEND;TZID=America/New_York:20230405T160000 DTSTAMP:20260404T194959 CREATED:20230329T163056Z LAST-MODIFIED:20230329T163056Z UID:10007536-1680706800-1680710400@seasevents.nmsdev7.com SUMMARY:Spring 2023 GRASP SFI: Matt Zucker\, Swarthmore College\, "Robotics education and research at a liberal arts college" DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. This week’s presenter will be in-person as well. \nABSTRACT\nIn this talk\, I will describe the transition from a research-intensive PhD to a position at a teaching-focused undergraduate institution in the context of my own career trajectory. Key topics include connections between robotics and the liberal arts\, and guidelines for graduate students who are curious about pursuing teaching-focused faculty jobs. URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-sfi-matt-zucker/ LOCATION:Levine 307\, 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:20230405T120000 DTEND;TZID=America/New_York:20230405T133000 DTSTAMP:20260404T194959 CREATED:20230222T154650Z LAST-MODIFIED:20230222T154650Z UID:10007491-1680696000-1680701400@seasevents.nmsdev7.com SUMMARY:ASSET Seminar: Lockout: Sparse Regularization of Neural Networks\, Gilmer Valdes (UCSF) DESCRIPTION:ABSTRACT: \nMany regression and classification procedures fit a function f(x;w) of predictor variables x to data 〖{x_i\,y_i}〗_1^N based on some loss criterion L(y\,f(x;w)). Often\, regularization is applied to improve accuracy by placing a constraint P(w)≤t on the values of the parameters w\, where P is a monotonic increasing function of the absolute values of the parameters (e.g. Lasso\, Ridge). Although efficient methods exist for finding solutions to these constrained optimization problems for all values of t≥0 in the special case when f is a linear function\, none are available when f is non-linear (e.g. Neural Networks). Here we present a fast algorithm that provides all such solutions (path) for any differentiable function f and loss L\, and any differentiable constraint P that is an increasing monotone function of the absolute value of each parameter. Applications involving sparsity inducing regularization of arbitrary Neural Networks are discussed. Empirical results indicate that these sparse solutions are usually superior to their dense counterparts in both accuracy and interpretability (sometimes strikingly better). This improvement in accuracy can often make Neural Networks competitive with\, and sometimes superior to\, state-of-the-art methods in the analysis of tabular data. Specific applications to Medicine\, in particular\, Microarray data are discussed. URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-gilmer-valdes-ucsf/ 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:20230405T090000 DTEND;TZID=America/New_York:20230405T100000 DTSTAMP:20260404T194959 CREATED:20230327T194836Z LAST-MODIFIED:20230327T194836Z UID:10007533-1680685200-1680688800@seasevents.nmsdev7.com SUMMARY:MEAM Ph.D. Thesis Defense: "Towards Digital Twins for Cardiovascular Flows: A Hybrid Machine Learning and Computational Fluid Dynamics Approach" DESCRIPTION:To design personalized treatment strategies\, a number of measurable quantities (biomarkers) that relate a patient’s clinical representation to the existence\, progress\, and outcome of a disease need to be identified and measured. In cases where a biomarker is strongly correlated with the disease outcome\, e.g. vascular pressure for hypertension\, changes to the biomarker will perfectly describe changes of the disease outcome. However these ofter require invasive procedures to be measured. When the desired biomarkers correspond to physical properties\, computational mechanics can be leveraged to obtain predictions in-silico. Unfortunately\, computational models require a list of patient specific parameters\, such as precise boundary conditions\, which also cannot be easily measured in-vivo. Inaccurate calibration of these parameters is often the cause of poor predictions\, therefore hindering the translational impact of computational methods. These challenges motivate the need flexible and computationally efficient frameworks that can operate under uncertain model assumptions and partial measurements. \nThe goal of this thesis is to introduce a novel approach to precision medicine by synthesizing artificial intelligence (AI) and computational modeling. We start by exploring how one can use available patient data to estimate parameters in computational fluid dynamics models of arterial blood flow\, and show that this is prohibitively expensive. Then we accelerate the prediction of biomarkers by training surrogates to reconstruct available measurements by building physics-informed machine learning models to infer correlations between measurable (e.g.\, blood velocity) and unmeasurable quantities (e.g.\, vascular pressure) through underlying laws of fluid mechanics. We show that even though this is a successful approach it also faces challenges in generalizing to new clinical scenarios. Finally we propose a purely data-driven approach for making online biomarker predictions. In many biological scenarios the data acquisition process can be expensive and time consuming\, limiting the amount of available training data. For this purpose\, we propose creating a virtual patient database via computational fluid dynamics to train a neural operator model which we then use to make online predictions for new patients and clinical conditions. This computational efficiency that this brings has the potential to bridge the gap between modeling and clinical decision making. URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-towards-digital-twins-for-cardiovascular-flows-a-hybrid-machine-learning-and-computational-fluid-dynamics-approach/ 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:20230404T160000 DTEND;TZID=America/New_York:20230404T170000 DTSTAMP:20260404T194959 CREATED:20230313T182949Z LAST-MODIFIED:20230313T182949Z UID:10007512-1680624000-1680627600@seasevents.nmsdev7.com SUMMARY:(Re)Connecting in the Classroom: Evan C Thompson Lecture on Excellence in Teaching DESCRIPTION:Lately there has been much talk in universities and the public about “the great disengagement.” As we emerge from the pandemic era\, many students and instructors alike are experiencing a lack of energy and motivation\, and we are seeking encounters in the classroom that are transformative\, rather than simply transactional. \nIn this talk\, Daeyeon Lee will reflect on his own evolution as a teacher\, from his early focus on content delivery to his current practice of infusing classes with intrigue\, storytelling and humor. Speaking from his own experiences\, Lee will argue that creative exchanges with our students are just as important as content coverage in today’s classrooms. He will share some of his strategies for engaging students\, practices that have enabled him to establish meaningful relationships with his students while also maintaining high academic standards. He shows us that taking time to connect with each other socially and emotionally is an essential part of revitalizing our intellectual culture and community. URL:https://seasevents.nmsdev7.com/event/reconnecting-in-the-classroom-evan-c-thompson-lecture-on-excellence-in-teaching/ LOCATION:Van Pelt Library\, Kislak Center\, 6th Floor\, 3420 Walnut Street\, Philadelphia\, 19104\, United States CATEGORIES:Seminar,Faculty,Doctoral,Graduate,Student,Master's,Postdoctoral,Undergraduate END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230404T100000 DTEND;TZID=America/New_York:20230404T113000 DTSTAMP:20260404T194959 CREATED:20230322T170727Z LAST-MODIFIED:20230322T170727Z UID:10007522-1680602400-1680607800@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Material-Enabled Technologies for Soft and Fluidic Robots" DESCRIPTION:The emerging field of soft robotics\, which incorporates unconventional or compliant materials in autonomous systems\, has simultaneously reshaped traditional robotics applications and introduced new use cases for robots. However\, many useful classes of materials remain relatively unexplored\, and furthermore\, the vast majority of soft robotics research has targeted actuation and sensing\, with power and control schemes still relying on bulky\, rigid electronic components. My research program addresses open questions in these domains by applying our expertise in energy\, fluids\, and materials. For instance\, biotic materials—non-living materials derived from living organisms—have remained underutilized in robotics\, despite having played a role in human development since the times our early ancestors wore animal hides as clothing and used bones for tools. In the first part of my talk\, I describe how we repurposed an inanimate spider as a ready-to-use actuator requiring only a single fabrication step\, initiating the area of “necrobotics” in which biotic materials are used as robotic components. The second part of my talk focuses on assistive wearable robots\, which currently rely on bulky and hard control systems and power supplies\, or alternatively require cumbersome tethers to external infrastructure. To address this limitation\, my group has developed completely soft fluidic digital logic components fabricated entirely from textiles. Our fluidic logic platform enables integrated memory\, decision making\, and the ability to interact with and adapt to stimuli and the environment\, all without the use of rigid valves or electronics. Meanwhile\, we address limitations in power delivery by developing “self-powered” textile-based wearable robots that harvest energy from the motion of the human body. The integration of fluidic logic and energy harvesting in textile architectures represents an important step toward fully soft\, self-sufficient wearable robots that are as comfortable\, resilient\, and practical as everyday clothing. URL:https://seasevents.nmsdev7.com/event/meam-seminar-material-enabled-technologies-for-soft-and-fluidic-robots/ 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;VALUE=DATE:20230404 DTEND;VALUE=DATE:20230406 DTSTAMP:20260404T194959 CREATED:20230123T171059Z LAST-MODIFIED:20230123T171059Z UID:10007438-1680566400-1680739199@seasevents.nmsdev7.com SUMMARY:5th Annual Mechanobiology Symposium DESCRIPTION:This two-day symposium is organized by the Center for Engineering MechanoBiology (CEMB) with support from the National Science Foundation. The theme will be MechanoImmunology and Epigenetics. \nThe CEMB is a Science and Technology Center funded by the National Science Foundation; our research focus is to advance the study of mechanical forces in molecules\, cells\, and tissues in plants and animals. The theme of this 5th symposium will be the role of forces on immunology and epigenetics. We are inviting leaders in these fields to join a relatively small group environment where new state-of-the-art research can be presented and discussed. \nThis meeting will be in-person at University of Pennsylvania in Philadelphia\, PA. While we encourage in-person attendance\, this meeting will also be streamed for registrants that cannot attend in person. \n  \nPlease register by March 1\, 2023 to gain access to the meeting. \nWe are currently accepting poster abstracts for our poster session. If you are interested in presenting a poster\, please submit a title and abstract (1500 character limit) HERE by March 1\, 2023. \nInvited speakers: \n\nAdelin Barbacci\, French National Centre for Scientific Research\, National Institute for Agriculture\, Food\, and Environment\nMarco Fritzsche\, Rosalind Franklin Institute\, Kennedy Institute for Rheumatology\, University of Oxford\nClaire Hivrov\, Institut Curie\nLance Kam\, Columbia University\nMatthew Lang\, Vanderbilt University\nSong Li\, University of California\, Los Angeles\nYekaterina Miorshnikova\, National Institutes of Health\nMaeli Melotto\, University of California\, Davis\nGuilherme Nader\, Children’s Hospital of Philadelphia\nVerena Ruprecht\, Centre for Genomic Regulation\n\n  \nFor inquiries\, please contact: \nSymposium logistics: Annie Jeong\, CEMB Managing Director (annjeong@seas.upenn.edu) \nScientific content: Vivek Shenoy\, CEMB Director (vshenoy@seas.upenn.edu) \nCEMB event website: https://cemb.upenn.edu/research/mechanobiology-annual-symposium/ URL:https://seasevents.nmsdev7.com/event/5th-annual-mechanobiology-symposium/ LOCATION:Smilow Center Auditorium\, 3400 Civic Center Blvd\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Conference ORGANIZER;CN="Center for Engineering MechanoBiology (CEMB)":MAILTO:annjeong@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230403T140000 DTEND;TZID=America/New_York:20230403T150000 DTSTAMP:20260404T194959 CREATED:20230327T151016Z LAST-MODIFIED:20230327T151016Z UID:10007532-1680530400-1680534000@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Wall-modeled Large-eddy Simulation of the Turbulent Boundary Layer with Mean-flow Three-dimensionality" DESCRIPTION:The capability to predict high-Reynolds-number turbulent flows is essential for many natural and engineering flows such as external aerodynamics of wind turbines and aircraft wings\, flow over the hull of marine vehicles\, atmospheric boundary-layer flow over complex landscapes and cityscapes. However\, due to extreme disparity of scales present in high-Reynolds-number wall-bounded turbulent flows\, any attempt to simulate these flows directly on a computational grid without resorting to modeling of some sort results in prohibitively large computational cost. Wall-modeled large-eddy simulation (WMLES) show perhaps the most promise in being able to capture more of the relevant flow physics while keeping computational cost tractable in simulating these flows. There have been many novel wall models being developed during the last decades. However\, the applications of most of the models are limited to canonical two-dimensional turbulent flows such as the turbulent channel flow where non-equilibrium effects including pressure gradient and mean-flow three-dimensionality are missing. \nIn this talk\, I will present a comparative study of WMLES of a turbulent boundary layer with mean-flow three-dimensionality developing on the floor of a bent square duct which mimics the flow over the swept wing of the aircraft. The predictive capabilities of three widely used wall models\, namely\, a simple equilibrium stress model\, an integral nonequilibrium model\, and a PDE nonequilibrium model\, have been investigated. These models potentially span the complete spectrum of wall models with varying physical details and complexity. While the wall-stress magnitudes predicted by the three wall models are comparable\, the PDE nonequilibrium wall model produces a substantially more accurate prediction of the wall-stress direction\, followed by the integral nonequilibrium wall model. The wall-stress direction from the wall models is shown to have separable contributions from the equilibrium stress part and the integrated nonequilibrium effects\, where how the latter is modeled differs among the wall models. Budget analyses have been conducted to elucidate precise mechanisms by which the three wall models produce different predictions of the wall shear stress directions given almost identical inputs. The physical characteristics of the three-dimensional turbulent boundary layer including the generation mechanism of mean-flow three-dimensionality and the anisotropy of turbulence will also be discussed in the talk. URL:https://seasevents.nmsdev7.com/event/meam-seminar-wall-modeled-large-eddy-simulation-of-the-turbulent-boundary-layer-with-mean-flow-three-dimensionality/ LOCATION:Towne 309\, 220 S. 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:20230331T133000 DTEND;TZID=America/New_York:20230331T143000 DTSTAMP:20260404T194959 CREATED:20230322T195945Z LAST-MODIFIED:20230322T195945Z UID:10007525-1680269400-1680273000@seasevents.nmsdev7.com SUMMARY:Spring 2023 GRASP Seminar: Larry Matthies\, Jet Propulsion Laboratory\, California Institute of Technology\, "Autonomous mobility in Mars exploration: recent achievements and future prospects" DESCRIPTION:This is a hybrid event with in-person attendance in Berger Auditorium (Skirkanich Floor B) and virtual attendance via Zoom. This week’s presenter will be in-person as well.  \n  \nABSTRACT\nThis talk will summarize key recent advances in autonomous surface and aerial mobility for Mars exploration\, then discuss potential future missions and technology needs for Mars and other planetary bodies. Among recent advances\, the Perseverance rover that is now operating on Mars includes new autonomous navigation capability that dramatically increases its traverse speed over previous rovers. Perseverance also carried the Ingenuity helicopter to Mars\, which is a technology demonstration of the first heavier-than-air aircraft ever to operate on another planet. The current mission objective for Perseverance involves driving a total distance of about 60 kilometers in about 10 Earth years. Rover mission concepts recently suggested for the Moon would drive about 1500 to 2000 km in under 4 years\, which requires significant advances in autonomy. Successors to the Ingenuity helicopter are now under development for use in a mission planned for later this decade to return Mars samples to Earth that Perseverance is collecting. Much larger helicopter concepts are being studied to enable carrying larger science instrument payloads for potential future Mars missions. Robotic surface and aerial vehicles\, as well as drilling systems for subsurface access\, potentially could play a role in NASA’s goals for a human mission to Mars roughly two decades from now. URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-seminar-larry-matthies/ LOCATION:Berger Auditorium (Room 13)\, Skirkanich Hall\, 210 South 33rd 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:20230331T103000 DTEND;TZID=America/New_York:20230331T114500 DTSTAMP:20260404T194959 CREATED:20230223T164554Z LAST-MODIFIED:20230223T164554Z UID:10007494-1680258600-1680263100@seasevents.nmsdev7.com SUMMARY:Spring 2023 GRASP on Robotics: Pulkit Agrawal\, MIT\, "Fun with Robots and Machine Learning" DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. This week’s presenter will be in-person as well.  \n  \nABSTRACT\nRobots are getting smarter at converting complex natural language commands describing household tasks into step-wise instructions. Yet\, they fail to actually perform such tasks! A prominent explanation for these failures is the fragility and inability of the low-level skills (e.g.\, locomotion\, grasping\, pushing\, object re-orientation\, etc.) to generalize to unseen scenarios. In this talk\, I will discuss a framework for learning low-level skills that surpasses limitations of current systems at tackling contact-rich tasks and is real-world-ready: generalizes\, runs in real-time with onboard computing\, and uses commodity sensors. I will describe the framework using the following case studies: \n(i) a dexterous manipulation system capable of re-orienting novel objects. \n(ii) a quadruped robot capable of fast locomotion and manipulation on diverse natural terrains. \n(iii) learning from a few task demonstrations of an object manipulation task to generalize to new object instances in out-of-distribution configurations. URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-on-robotics-pulkit-agrawal/ 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:20230330T153000 DTEND;TZID=America/New_York:20230330T163000 DTSTAMP:20260404T194959 CREATED:20221220T152024Z LAST-MODIFIED:20221220T152024Z UID:10007392-1680190200-1680193800@seasevents.nmsdev7.com SUMMARY:BE Seminar: "Engineering therapeutic immunity using (nano)biomaterials" (Natalie Artzi\, Harvard Medical School) DESCRIPTION:This seminar will be held in person only; snacks will be provided. \nImmunomodulatory therapies have advanced to clinical trials over the past decade for the treatment of a range of diseases and disorders\, from cancer to diabetes to transplant rejection. However\, the efficacy of these therapies remains limited\, as challenges associated with off-target drug toxicity\, poorly controlled drug pharmacokinetics\, and an incomplete understanding of real-time therapy responses prevent effective therapeutic windows from being realized. Here\, I will highlight some of our work on the design\, fabrication\, and characterization of biomaterial-based delivery technologies for the controlled delivery of combination immunotherapies and for the non-invasive monitoring of their associated immune responses for cancer therapy. We show that the design of materials and their delivery context can influence therapeutic outcomes and alter the spatiotemporal characteristics of the incited immunomodulatory responses. By adroitly designing and utilizing our material delivery platforms\, we can deliver immunotherapies with tailorable pharmacokinetics and enhanced efficiency to improve long-term therapeutic outcomes and tolerability and enable studying basic questions in immunobiology as we seek to generate a ‘living’ therapeutics. URL:https://seasevents.nmsdev7.com/event/be-seminar-natalie-artzi-harvard-medical-school/ 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:20230330T123000 DTEND;TZID=America/New_York:20230330T133000 DTSTAMP:20260404T194959 CREATED:20230322T172915Z LAST-MODIFIED:20230322T172915Z UID:10007523-1680179400-1680183000@seasevents.nmsdev7.com SUMMARY:ESE & MEAM Seminar - "Enabling Self-sufficient Robot Learning" DESCRIPTION:Autonomous exploration and data-efficient learning are important ingredients for helping machine learning handle the complexity and variety of real-world interactions. In this talk\, I will describe methods that provide these ingredients and serve as building blocks for enabling self-sufficient robot learning. \nFirst\, I will outline a family of methods that facilitate active global exploration. Specifically\, they enable ultra data-efficient Bayesian optimization in reality by leveraging experience from simulation to shape the space of decisions. In robotics\, these methods enable success with a budget of only 10-20 real robot trials for a range of tasks: bipedal and hexapod walking\, task-oriented grasping\, and nonprehensile manipulation. \nNext\, I will describe how to bring simulations closer to reality. This is especially important for scenarios with highly deformable objects\, where simulation parameters influence the dynamics in unintuitive ways. The success here hinges on finding a good representation for the state of deformables. I will describe adaptive distribution embeddings that provide an effective way to incorporate noisy state observations into modern Bayesian tools for simulation parameter inference. This novel representation ensures success in estimating posterior distributions over simulation parameters\, such as elasticity\, friction\, and scale\, even for scenarios with highly deformable objects and using only a small set of real-world trajectories. \nLastly\, I will share a vision of using distribution embeddings to make the space of stochastic policies in reinforcement learning suitable for global optimization. This research direction involves formalizing and learning novel distance metrics on this space and will support principled ways of seeking diverse behaviors. This can unlock truly autonomous learning\, where learning agents have incentives to explore\, build useful internal representations and discover a variety of effective ways of interacting with the world. URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-enabling-self-sufficient-robot-learning/ LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Colloquium ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230330T103000 DTEND;TZID=America/New_York:20230330T120000 DTSTAMP:20260404T194959 CREATED:20230313T200635Z LAST-MODIFIED:20230313T200635Z UID:10007513-1680172200-1680177600@seasevents.nmsdev7.com SUMMARY:MSE Seminar: "Natural Structural Materials: Lessons on Toughening Mechanisms\, Weight Reduction\, and Multifunctionality" (Virginia Tech University) DESCRIPTION:Structural materials that are damage tolerant\, lightweight\, multifunctional\, and sustainable are highly desirable for many engineering applications. Such combinations of properties are often found in the biological world. Organisms from nature construct a variety of different biological structural materials for protection\, predation\, body support\, camouflage\, etc. Despite the fact that these materials are made from limited constituent materials with usually poor intrinsic mechanical properties\, such as brittle minerals and soft biopolymers\, biological materials are often able to achieve remarkable mechanical properties while offering additional functionalities simultaneously\, such as low density\, coloration\, transparency\, flexibility\, visual sensitivity\, etc. In this talk\, I will present our recent work in elucidating the fundamental structure-property relationships in some natural structural materials by focusing on their strategies in achieving damage tolerance\, weight reduction\, and multifunctionality. In particular\, I will present a unique damage-tolerant\, dual-scale\, single-crystalline\, low-density microlattice that we recently discovered in an echinoderm skeletal system. Our research combines quantitative multiscale 3D structural analysis\, in-situ mechanical analysis\, theoretical and computational modeling\, and design and manufacturing of bio-inspired materials. I hope this talk can stimulate more discussions among research areas such as material synthesis\, biomimetics\, mechanics\, biology\, and manufacturing. URL:https://seasevents.nmsdev7.com/event/mse-seminar-natural-structural-materials-lessons-on-toughening-mechanisms-weight-reduction-and-mmultifunctionality-virginia-tech-university/ 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:20230329T150000 DTEND;TZID=America/New_York:20230329T160000 DTSTAMP:20260404T194959 CREATED:20230315T183714Z LAST-MODIFIED:20230315T183714Z UID:10007518-1680102000-1680105600@seasevents.nmsdev7.com SUMMARY:Spring 2023 GRASP SFI: Ram Vasudevan\, University of Michigan\, "Can't Touch This: Real-Time\, Provably Safe Motion Planning and Control for High Dimensional Autonomous Systems" DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. This week’s presenter will be in-person as well. \nABSTRACT\nA key challenge to the widespread deployment of robotic manipulators is the need to ensure safety in arbitrary environments while generating new motion plans in real-time. This talk describes a technique that constructs a parameterized representation of the forward reachable set that it then uses in concert with predictions to enable certified\, collision checking. To improve computational speed\, this talk describes how to represent this parameterized reachable set using a neural implicit representation without sacrificing any safety guarantees. This approach\, which is guaranteed to generate safe behavior\, is demonstrated across a variety of different real-world platforms including ground vehicles\, manipulators\, and walking robots. URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-sfi-ram-vasudevan/ LOCATION:Levine 307\, 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:20230329T120000 DTEND;TZID=America/New_York:20230329T133000 DTSTAMP:20260404T194959 CREATED:20230104T183548Z LAST-MODIFIED:20230104T183548Z UID:10007402-1680091200-1680096600@seasevents.nmsdev7.com SUMMARY:ASSET Seminar: \, Dinesh Jayaraman (University of Pennsylvania) DESCRIPTION:ABSTRACT: \nAn important goal of the field sensorimotor robot learning is to do away with cumbersome expertise-intensive task specification\, so that general-purpose robots of the future might learn large numbers of new skills. In this talk\, I will discuss our recent work on algorithms that exploit goals as a versatile and accessible task specification interface. Goals might be specified through images\, language\, or physical objects\, and may either be provided by a layperson or even discovered autonomously by a robot exploring its environment. I will show how unsupervised learning from large human action datasets can train goal-conditioned value functions for robots\, how learned verification behaviors can in turn help to evaluate and acquire new skills\, and how careful model-based reasoning can help a robot discover interesting goal-based tasks in an environment with no supervision. URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-dinesh-jayaraman-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:20230329T093000 DTEND;TZID=America/New_York:20230329T113000 DTSTAMP:20260404T194959 CREATED:20230314T131408Z LAST-MODIFIED:20230314T131408Z UID:10007514-1680082200-1680089400@seasevents.nmsdev7.com SUMMARY:BE Doctoral dissertation Defense: "Understanding the Cellular and Gene-regulatory Mechanisms Underlying the Mesenchymal Transition of Ependymoma Tumor Cells Using Omics Data" (Rachael Aubin) DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Pablo Camara  are pleased to announce the Doctoral Dissertation Defense of Rachael Aubin. \n\n\nTitle: UNDERSTANDING THE CELLULAR AND GENE-REGULATORY MECHANISMS UNDERLYING THE MESENCHYMAL TRANSITION OF EPENDYMOMA TUMOR CELLS USING OMICS DATA\n\nDate: Wednesday\, March 29\nTime: 9:30am\nLocation: Reunion Auditorium\, John Morgan Building\n\nZoom link: https://upenn.zoom.us/j/97229075338\n\n\nThe public is welcome to attend. URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-understanding-the-cellular-and-gene-regulatory-mechanisms-underlying-the-mesenchymal-transition-of-ependymoma-tumor-cells-using-omics-data-rachael-aubin/ LOCATION:Class of 62 Auditorium\, John Morgan Building\, 3620 Hamilton Walk\, Philadelphia\, PA\, 19104 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:20230328T170000 DTEND;TZID=America/New_York:20230328T180000 DTSTAMP:20260404T194959 CREATED:20230321T142750Z LAST-MODIFIED:20230321T142750Z UID:10007521-1680022800-1680026400@seasevents.nmsdev7.com SUMMARY:Reflections by 50 Years of Women CIS Faculty DESCRIPTION:Please join Ruzena Bajcsy\, Susan Davidson\, Stephanie Weirich and Linh Phan for a panel discussion. \nReception to Follow \nABSTRACT: \nWomen have always been part of computing at Penn\, from the women who programmed the ENIAC\, to the first woman faculty member\, Ruzena Bajcsy\, who arrived in 1972 as the CIS department was being formed\, to new faculty members joining this year. This panel\, consisting of women CIS faculty members from different decades over the past fifty years\, will discuss what their experiences have been like\, addressing the department and research environment\, teaching and climate for women. \nAdditional information about this event\, including full speaker bios\, is available on the Computer and Information Science website. \n \n  \nRuzena Bajcsy\nProfessor Emeritus\nElectrical Engineering and Computer Sciences\, University of California\, Berkeley;\nComputer and Information Science\, Penn Engineering \n  \n  \n \n  \nSusan Davidson\nWeiss Professor\nComputer and Information Science\nPenn Engineering \n  \n  \n \n  \nStephanie Weirich\nENIAC President’s Distinguished Professor\nComputer and Information Science\nPenn Engineering \n  \n  \n \n  \nLinh Phan\nAssociate Professor\nComputer and Information Science\nPenn Engineering URL:https://seasevents.nmsdev7.com/event/reflections-by-50-years-of-women-cis-faculty/ LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 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:20230328T153000 DTEND;TZID=America/New_York:20230328T163000 DTSTAMP:20260404T194959 CREATED:20230324T115144Z LAST-MODIFIED:20230324T115144Z UID:10007527-1680017400-1680021000@seasevents.nmsdev7.com SUMMARY:CIS Seminar: "Collaborative\, Communal\, & Continual Machine Learning" DESCRIPTION:Pre-trained models have become a cornerstone of machine learning thanks to the fact that they can provide improved performance with less labeled data on downstream tasks. However\, these models are typically created by resource-rich research groups that unilaterally decide how a given model should be built\, trained\, and released\, after which point it is never updated. In contrast\, open-source development has demonstrated that it is possible for a community of contributors to work together to iteratively build complex and widely used software. This kind of large-scale distributed collaboration is made possible through a mature set of tools including version control and package management. In this talk\, I will discuss a research focus in my group that aims to make it possible to build machine learning models in the way that open-source software is developed. Specifically\, I will discuss our preliminary work on merging multiple models while retaining their individual capabilities\, patching models with cheaply-communicable updates\, designing modular model architectures\, and tracking changes through a version control system for model parameters. I will conclude with an outlook on how the field will change once truly collaborative\, communal\, and continual machine learning is possible. URL:https://seasevents.nmsdev7.com/event/cis-seminar-collaborative-communal-continual-machine-learning/ 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:20230328T123000 DTEND;TZID=America/New_York:20230328T133000 DTSTAMP:20260404T194959 CREATED:20230316T124128Z LAST-MODIFIED:20230316T124128Z UID:10007519-1680006600-1680010200@seasevents.nmsdev7.com SUMMARY:ESE Spring Seminar - "Agile Robot Autonomy" DESCRIPTION:Quadcopters are among the most agile and dynamic machines ever created. In this talk\, I’ll show how data-driven sensorimotor controllers can push quadcopters with only onboard sensing and computation to their physical limits. Such controllers enable quadcopters to fly faster and more agile than what was possible before in unstructured environments like cities\, forests\, and disaster scenarios. The insights acquired from quadcopter flight transfer to other domains\, including legged locomotion and bio-inspired vision. However\, fundamental research questions still need to be addressed to make agile robots adaptable\, robust\, and safe\, and enable their wider application in homes\, search and surveillance\, and inspection. Teaser videos of the results I will present are Deep Drone Acrobatics (https://youtu.be/2N_wKXQ6MXA) and Agile Autonomy (https://youtu.be/m89bNn6RFoQ). URL:https://seasevents.nmsdev7.com/event/ese-spring-event-agile-robot-autonomy/ LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Colloquium ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230328T103000 DTEND;TZID=America/New_York:20230328T120000 DTSTAMP:20260404T194959 CREATED:20230313T181827Z LAST-MODIFIED:20230313T181827Z UID:10007511-1679999400-1680004800@seasevents.nmsdev7.com SUMMARY:MSE Seminar: "Engineering 2D Quantum Materials with Atomic Precision" (University of California - Berkeley and Lawrence Berkeley National Laboratory) DESCRIPTION:Two-dimensional (2D) materials offer a rich platform for studying quantum phenomena\, because their properties can be profoundly altered through heterostructure stacking and defect manipulation\, while the resulting electronic and magnetic structure can be directly imaged via surface-sensitive probes. I will discuss several examples that highlight the remarkable potential of engineered two-dimensional (2D) materials for exploring novel quantum phases of matter driven by strong correlation and non-trivial topology using scanning tunneling microscopy (STM). I will first discuss our recent work on visualizing and manipulating 1D chiral edge states in a moiré quantum anomalous Hall (QAH) insulator of twisted monolayer-bilayer graphene (tMBLG). Here spectroscopic mapping allows us to directly identify QAH edge states\, while combining electrostatic gating and tip-induced doping enables us to create and manipulate QAH edge states on-demand. I will also discuss the interplay between quantum confinement and strong correlation in engineered 1D twin-boundary defects of semiconducting 1H-MoSe2 \, which allows direct spectroscopic imaging of spin-charge fractionalization due to the formation of a 1D Tomonaga-Luttinger liquid.  I will conclude by providing a glimpse into new avenues of 2D materials engineering involving advanced atomically-precise characterization in the growing field of quantum materials. URL:https://seasevents.nmsdev7.com/event/mse-seminar-engineering-2d-quantum-materials-with-atomic-precision-university-of-california-berkeley-and-lawrence-berkeley-national-laboratory/ LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 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:20230328T100000 DTEND;TZID=America/New_York:20230328T113000 DTSTAMP:20260404T194959 CREATED:20230307T164219Z LAST-MODIFIED:20230307T164219Z UID:10007508-1679997600-1680003000@seasevents.nmsdev7.com SUMMARY:MEAM Seminar: "Multiscale Mechano-Medicine: from Mechanobiology to Tissue-Interfacing Stimulating Medical Devices" DESCRIPTION:Many human health problems are associated with alteration of tissue mechanics and often require mechanical stimulation to promote the healing process. While it is now well established that the mechanics of the cellular microenvironment regulate various biological processes\, most studies have focused only on the effect of stiffness\, leaving other mechanical parameters such as viscoelasticity unexplored. In addition\, a large gap still remains between fundamental mechanobiological research and translational medicine. My talk will focus on how we can leverage mechanobiology for translational medicine from the cellular level to the tissue/animal level. \nFirst\, I will present the broad impacts of matrix viscoelasticity on biological processes in the context of tumor growth. These findings reveal unexplored molecular pathways involved in tumor growth and substantial force generation during cell division\, suggesting novel molecular targets for cancer treatment. Then\, I will talk about the use of mechanical stimulation as a means of therapeutic intervention\, named mechanotherapy. To this end\, we developed several designs of robotic biomedical devices capable of generating mechanical stimulation to the target tissue through highly controlled actuation. Interestingly\, mechanical stimulation was found to improve the healing process in animal models of muscle injury and atrophy through immuno-modulation and direct activation of mechanosensors. These mechanobiological approaches for medicine will open new avenues for novel therapeutics for patients and find broad utility in regenerative medicine. URL:https://seasevents.nmsdev7.com/event/meam-seminar-multiscale-mechano-medicine-from-mechanobiology-to-tissue-interfacing-stimulating-medical-devices/ 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:20230327T130000 DTEND;TZID=America/New_York:20230327T140000 DTSTAMP:20260404T194959 CREATED:20230111T151457Z LAST-MODIFIED:20230111T151457Z UID:10007424-1679922000-1679925600@seasevents.nmsdev7.com SUMMARY:PSOC Seminar: “The application of cell free DNA in pediatric acute lymphoblastic leukemia and single cell technology in preimplantation genetic testing” (Yuntao Xia) DESCRIPTION:Spring 2023 Hybrid-Seminar Series\nMondays 1.00-2.00 pm (EST)\nTowne 225 / Raisler Lounge\n“For Zoom link\, please contact ” URL:https://seasevents.nmsdev7.com/event/psoc-seminar-the-application-of-cell-free-dna-in-pediatric-acute-lymphoblastic-leukemia-and-single-cell-technology-in-preimplantation-genetic-testing-yuntao-xia/ LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States CATEGORIES:Seminar ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu END:VEVENT END:VCALENDAR