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DTSTART;TZID=America/New_York:20240322T103000
DTEND;TZID=America/New_York:20240322T114500
DTSTAMP:20260403T191522
CREATED:20240315T201115Z
LAST-MODIFIED:20240315T201115Z
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SUMMARY:Spring 2024 GRASP on Robotics: GRASP Faculty Panel\, "AI Embodied in Robotics"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. \nPANEL DISCUSSION\nPlease join us for a lively panel discussion featuring GRASP Faculty members Dr. Pratik Chaudhari\, Dr. Dinesh Jayaraman\, and Dr. Michael Posa. This panel will be moderated by Dr. Kostas Daniilidis around the current hot topic of AI Embodied in Robotics.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-on-robotics-grasp-faculty-panel-ai-embodied-in-robotics/
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:20240322T103000
DTEND;TZID=America/New_York:20240322T113000
DTSTAMP:20260403T191522
CREATED:20240301T194932Z
LAST-MODIFIED:20240301T194932Z
UID:10007884-1711103400-1711107000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Controlling Fracture Behavior through Architecture"
DESCRIPTION:Many natural materials achieve excellent combinations of mechanical properties through their micro- and nano-scale structures\, which leverage a level of complexity currently unmatched in engineering design. Recent advances in digital manufacturing have enabled the introduction of these fine-scale architectures to improve the mechanical properties of materials\, but their complexity still lags far behind that of natural materials. In particular\, the potential of these structures to create materials with enhanced fracture resistance has remained limited\, primarily due to a narrow design focus on simple\, repetitive structures optimized for idealized elastic-brittle materials. Improving the damage-tolerance of materials is critical to the mechanical performance of structures and interfaces\, as cracks and defects often lead to failure at far-field loads that are significantly lower than the theoretical strength of the system. In this talk\, we demonstrate how leveraging disordered structures and considering material behavior beyond the elastic limit can significantly enhance the fracture resistance of architected interfaces. Specifically\, we examine three key aspects influencing the failure of architected interfaces: the effects of plasticity\, the advantages of disordered structures\, and the impacts of stochastic material failure. Through a combination of mechanics frameworks\, computational modeling\, and experimental mechanics including full-field analyses using digital image correlation and photoelasticity\, we demonstrate that properly designed architectures lead to tunable and enhanced fracture resistance. These architectures enlarge the region of damage around the crack tip\, delocalizing stresses and increasing the resistance to crack propagation\, while also revealing novel properties such as the decoupling of toughness and strength.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-controlling-fracture-behavior-through-architecture/
LOCATION:Levine 307\, 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:20240322T100000
DTEND;TZID=America/New_York:20240322T110000
DTSTAMP:20260403T191522
CREATED:20240226T151803Z
LAST-MODIFIED:20240226T151803Z
UID:10007876-1711101600-1711105200@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Decoding the tumor microenvironment to engineer the next generation of CAR T cells" (Puneeth Guruprasad)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Marco Ruella are pleased to announce the Doctoral Dissertation Defense of Puneeth Guruprasad.\n \n\nTitle: Decoding the tumor microenvironment to engineer the next generation of CAR T cells\nDate: Friday\, March 22nd\nTime: 10:00-11:00 AM\nLocation: Smilow Translational Research Center\, Arthur H. Rubenstein Auditorium (1st Floor)\n \nZoom Link:  \nhttps://pennmedicine.zoom.us/j/92190459355?pwd=Qkw2OTJpNHhXSkRqU08xTndFWVFoUT09\n \nMeeting ID: 921 9045 9355\n\n\n\nPasscode: 871647 \n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-decoding-the-tumor-microenvironment-to-engineer-the-next-generation-of-car-t-cells-puneeth-guruprasad/
LOCATION:Rubenstein Audtorium\, Smilow Center for Translational Research
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:20240321T153000
DTEND;TZID=America/New_York:20240321T163000
DTSTAMP:20260403T191522
CREATED:20240312T183019Z
LAST-MODIFIED:20240312T183019Z
UID:10007897-1711035000-1711038600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Building Planetary-Scale Collaborative Intelligence"
DESCRIPTION:Today\, access to high-quality data has become the key bottleneck to deploying Machine Learning (ML). Often\, data that is most valuable is locked away in inaccessible silos due to unfavorable incentives and ethical-legal restrictions. This is starkly evident in healthcare\, where such barriers have led to highly biased and underperforming tools. \nIn my talk\, we will dive into my collaborations with public health organizations facing such issues\, and see how collaborative systems (such as federated learning) prove a natural solution. Collaborative learning can remove barriers to data sharing by respecting the privacy and interests of the data providers. Yet\, for these systems to truly succeed\, we must confront three fundamental challenges. These systems need to i) be efficient and scale to large networks\, ii) provide reliable and trustworthy training and predictions\, and iii) manage the divergent goals and interests of the participants. We discuss how tools from optimization\, statistics\, and economics can be leveraged to address these challenges.
URL:https://seasevents.nmsdev7.com/event/10961/
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:20240321T153000
DTEND;TZID=America/New_York:20240321T163000
DTSTAMP:20260403T191522
CREATED:20240108T172513Z
LAST-MODIFIED:20240108T172513Z
UID:10007797-1711035000-1711038600@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Synthetic and Chemical Biology Routes to Unveiling Host-Pathogen Dialogue" (Aerin Yang\, Stanford)
DESCRIPTION:Disease processes within the human body are shaped by the dynamic interplay between\ninvading pathogens and the host’s defense mechanisms. The intricate molecular\ninteraction involves continuous modifications of both host and pathogen proteins\, driven\nby posttranslational modifications (PTMs) and coevolutionary mutations\, to finely regulate\ntheir interactions with binding partners. In this talk\, I will elucidate my research efforts\naimed at unraveling these complex molecular interactions through the integration of\nchemical and synthetic biology approaches. Firstly\, I will delve into my work about\nchemical biology pathways for site-specific protein modification\, advancing our\nunderstanding of PTM biology. Next\, I will describe the recently invented “library-on-\nlibrary” approaches designed to co-evolve protein-protein interactions (PPIs). This\ntechnique addresses a pivotal challenge in understanding crucial PPIs in immunology\,\nincluding those within host-pathogen interfaces.
URL:https://seasevents.nmsdev7.com/event/be-seminar-aerin-yang-stanford/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd 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:20240321T100000
DTEND;TZID=America/New_York:20240321T113000
DTSTAMP:20260403T191522
CREATED:20240318T194158Z
LAST-MODIFIED:20240318T194158Z
UID:10007906-1711015200-1711020600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Surfactants\, Colloids\, and Electrolytes: Engineering Transport Phenomena for Energy and the Environment"
DESCRIPTION:Fluid flows and mass transport mediate countless natural and engineered processes\, ranging from the spreading of pollutants to carbon capture and water cleaning. In this talk\, I will share three examples of my research where fundamental ideas in transport phenomena are applied to inform technologies with direct impact on energy and the environment. First\, I will discuss surfactants\, chemicals that preferentially adsorb to interfaces between fluids and critically affect their motion. My work has revealed that these substances play a central role in the engineering of coatings aimed at reducing the drag of marine vessels\, resulting in the discovery of a physicochemical lengthscale capable of predicting the effectiveness of a given coating. I will also demonstrate how the spontaneous migration of solid particles in chemical gradients — an effect known as diffusiophoresis— can be used to filter microplastics from water without a membrane. I will present results quantifying the efficiency of this separation process\, which is a key step towards novel water remediation technologies with enhanced energy and cost efficiency. Finally\, I will describe how fluid flows\, driven solely by natural evaporation\, can dramatically boost the concentration of electrolytes in porous materials. I will illustrate the physics of this process and how it can be leveraged for the extraction of minerals key to the energy transition\, such as lithium\, from natural brines.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-surfactants-colloids-and-electrolytes-engineering-transport-phenomena-for-energy-and-the-environment/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 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:20240321T000000
DTEND;TZID=America/New_York:20240321T000000
DTSTAMP:20260403T191522
CREATED:20240129T193148Z
LAST-MODIFIED:20240129T193148Z
UID:10007834-1710979200-1710979200@seasevents.nmsdev7.com
SUMMARY:This Seminar is currently Postponed. MSE Seminar: "Tuning Nanostructured Materials for Combustion Applications"
DESCRIPTION:Metals powders like aluminum and boron are attractive potential fuel additives for pyrotechnics\, propellants and explosives due to their high energy release upon oxidation. However\, they tend to agglomerate\, have lengthy ignition delays\, and low combustion rates/efficiencies. This work aims to design metal powders with tuned surface\, micro-structure\, morphology\, or chemistries to mitigate these challenges and favor the formation of desired products and high energy release; without jeopardizing thermochemical performance\, safety\, and stability. One approach used is to incorporate elements (like Fe) that can act as oxygen shuttle catalysts for surface reactions or to introduce elements to form exothermic intermetallic products (like Zr). Ball-milling allows a simple one pot technique to incorporate these elements to form metastable nanocomposite powders with lower ignition thresholds and improved combustion efficiencies. Novel experimental and diagnostic tools like x-ray phase contrast imaging (XPCI) and snapshot hyper-spectral imager for emissions and reactions (SHEAR) have been coupled to capture condensed phase/internal particle features and external optical emissions\, temperatures\, and gas phase species from combustion reactions\, respectively. Machine learning is also used to obtain quantitative data: identify trends\, detect anomalies\, and classify particle events from the videos produced of combustion scenes. Results show that surface modification to boron reduces ignition delays and doping boron with as low as 1wt% Fe improves surface reaction rates in air. Other additives like Bi and Co also help to change boron’s oxidation mechanism. For aluminum\, powders can be modified by emulsion assisted milling to produce spheres of various sizes by changing the milling parameter space with process control agents like acetonitrile and hexane\, and the addition of Zr can accelerate combustion in thermite formulations and allow Al powders to burn in multiple phases with improved combustion efficiencies.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-tuning-nanostructured-materials-for-combustion-applications/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240320T150000
DTEND;TZID=America/New_York:20240320T160000
DTSTAMP:20260403T191522
CREATED:20240306T163700Z
LAST-MODIFIED:20240306T163700Z
UID:10007890-1710946800-1710950400@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP SFI:  Eugene Vinitsky\, New York University and Apple\, "Real-world reinforcement learning in multi-agent systems: deploying cooperative autonomy at scale"
DESCRIPTION:This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. \nABSTRACT\nThe ever-increasing penetration of level-2 autonomous vehicles (AVs) offers an opportunity to reshape the energy efficiency and throughput of our highways. Even at current low penetration rates (1-5%)\, we have observed in small settings that adopting different driving behaviors from humans can sharply decrease fuel consumption by eliminating ubiquitous stop-and-go waves from traffic. We examined this idea at scale\, showing that we can use reinforcement learning to design AV behaviors that operate cooperatively to smooth traffic in large\, realistic simulators. We performed a large-scale road test\, the first of its kind\, in which we deployed a hundred of these cruise controllers onto a highway to show traffic smoothing at scale. Finally\, we discuss ongoing efforts to benchmark and test autonomous vehicles by building fast simulators populated by RL agents modeling human behaviors.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-sfi-eugene-vinitsky/
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:20240320T140000
DTEND;TZID=America/New_York:20240320T160000
DTSTAMP:20260403T191522
CREATED:20240229T201027Z
LAST-MODIFIED:20240229T201027Z
UID:10007880-1710943200-1710950400@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Tissue Engineered Cortical-Hippocampal Neural Networks for Pharmacological Investigations" (Victor Acero)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. D. Kacy Cullen are pleased to announce the Doctoral Dissertation Defense of Victor Acero.\nTitle: Tissue Engineered Cortical-Hippocampal Neural Networks for Pharmacological Investigations\nDate: March 20\, 2024\nTime: 2:00 PM\nLocation: John Morgan Building Class of 62 Auditorium\n\nZoom option: https://upenn.zoom.us/j/5112542338\n\n\n\n\n\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-tissue-engineered-cortical-hippocampal-neural-networks-for-pharmacological-investigations/
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:20240320T133000
DTEND;TZID=America/New_York:20240320T153000
DTSTAMP:20260403T191522
CREATED:20240226T145209Z
LAST-MODIFIED:20240226T145209Z
UID:10007873-1710941400-1710948600@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Nanofluidic Isolation and Quantification of Specific Extracellular Vesicles and Machine Learning Analysis to Aid Clinical Decision-Making" (Hanfei Shen)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. David Issadore are pleased to announce the Doctoral Dissertation Defense of Hanfei Shen.\n\nTitle: Nanofluidic Isolation and Quantification of Specific Extracellular Vesicles and Machine Learning Analysis to Aid Clinical Decision-Making\n\nDate: Wednesday\, March 20\, 2024\nTime: 1:30pm-3:30pm\nLocation: Towne 337\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-nanofluidic-isolation-and-quantification-of-specific-extracellular-vesicles-and-machine-learning-analysis-to-aid-clinical-decision-making-hanfei-shen/
LOCATION:Towne 337
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:20240320T130000
DTEND;TZID=America/New_York:20240320T150000
DTSTAMP:20260403T191522
CREATED:20240226T150104Z
LAST-MODIFIED:20240226T150104Z
UID:10007874-1710939600-1710946800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Ionizable lipid nanoparticles for in utero gene editing of congenital disease" (Rohan Palanki)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Drs. Michael J. Mitchell and William H. Peranteau are pleased to announce the Doctoral Dissertation Defense of Rohan Palanki. \nTitle: Ionizable lipid nanoparticles for in utero gene editing of congenital disease \nDate: March 20th\, 2024 \nTime: (1PM-3 PM) \nLocation: Law Auditorium\, Smilow Center for Translational Research (5th Floor) \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-ionizable-lipid-nanoparticles-for-in-utero-gene-editing-of-congenital-disease-rohan-palanki/
LOCATION:Smilow Center Auditorium\, 3400 Civic Center Blvd\, 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:20240320T120000
DTEND;TZID=America/New_York:20240320T133000
DTSTAMP:20260403T191522
CREATED:20240305T185352Z
LAST-MODIFIED:20240305T185352Z
UID:10007889-1710936000-1710941400@seasevents.nmsdev7.com
SUMMARY:Rigorous and Glamorous in 100 Words or Less: An Abstract Workshop
DESCRIPTION:It’s hard to write an abstract. It’s harder to write a glamorous one that tells your story without overselling your results. Community for Rigor is here to help! \nJoin Professor Konrad Kording for a rigorous abstract writing workshop on March 20th\, 2024. Together\, let’s lovingly glam up abstracts from the Community and make the most of 100 words. \nRSVP to join us Wednesday\, March 20th\, 2024\, 12:00pm-1:30pm EST. 
URL:https://seasevents.nmsdev7.com/event/rigorous-and-glamorous-in-100-words-or-less-an-abstract-workshop/
LOCATION:rsvp for zoom link
CATEGORIES:Faculty,Doctoral,Graduate,Student,Postdoctoral,Workshop
ORGANIZER;CN="Community for Rigor":MAILTO:c4r@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240320T120000
DTEND;TZID=America/New_York:20240320T133000
DTSTAMP:20260403T191522
CREATED:20240125T213511Z
LAST-MODIFIED:20240125T213511Z
UID:10007830-1710936000-1710941400@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Bridging the Gap Between Deep Learning Theory and Practice" (Micah Goldblum\, New York University)
DESCRIPTION:ABSTRACT:  \nDespite the widespread proliferation of neural networks\, the mechanisms through which they operate so successfully are not well understood.  In this talk\, we will first explore empirical and theoretical investigations into neural network training and generalization and what they can tell us about why deep learning works.  Then\, we will examine a recent line of work on algorithm learning.  While neural networks typically excel at pattern matching tasks\, we consider whether neural networks can learn algorithms that scale to problem instances orders of magnitude larger than those seen during training. \n  \nZOOM LINK (if unable to attend in-person): https://upenn.zoom.us/j/97343249657 \n 
URL:https://seasevents.nmsdev7.com/event/asset-seminar-micah-goldblum-new-york-university/
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:20240319T153000
DTEND;TZID=America/New_York:20240319T173000
DTSTAMP:20260403T191522
CREATED:20231110T145507Z
LAST-MODIFIED:20231110T145507Z
UID:10007758-1710862200-1710869400@seasevents.nmsdev7.com
SUMMARY:Penn Bioengineering 50th Anniversary Lecture: "Synthetic Biology: Programmable Biology" (James J. Collins\, MIT & Harvard)
DESCRIPTION:Celebrate 50 years and beyond of Penn Bioengineering! This distinguished lecture will be held in honor of the Department of Bioengineering’s 50th Anniversary. Dr. Collins will deliver his talk in Glandt Forum at 3:30 pm\, to be followed by a Q&A. A catered reception will follow in the Singh Center lobby at 4:30 pm.
URL:https://seasevents.nmsdev7.com/event/be-turns-50-lecture/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Distinguished Lecture
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240319T153000
DTEND;TZID=America/New_York:20240319T163000
DTSTAMP:20260403T191522
CREATED:20240304T192919Z
LAST-MODIFIED:20240304T192919Z
UID:10007886-1710862200-1710865800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: Generalizing Outside the Training Distribution through Compositional Generation"
DESCRIPTION:Generative AI has led to stunning successes in recent years but is fundamentally limited by the amount of data available.  This is especially limiting in the embodied setting – where an agent must solve new tasks in new environments. In this talk\, I’ll introduce the idea of compositional generative modeling\, which enables generalization beyond the training data by building complex generative models from smaller constituents. I’ll first introduce the idea of energy-based models and illustrate how they enable compositional generative modeling. I’ll then illustrate how such compositional models enable us to synthesize complex plans for unseen tasks at inference time. Finally\, I’ll show how such compositionality can be applied to multiple foundation models trained on various forms of Internet data\, enabling us to construct decision-making systems that can hierarchically plan and solve long-horizon problems in a zero-shot manner.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-generalizing-outside-the-training-distribution-through-compositional-generation/
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:20240319T110000
DTEND;TZID=America/New_York:20240319T120000
DTSTAMP:20260403T191522
CREATED:20240201T140501Z
LAST-MODIFIED:20240201T140501Z
UID:10007843-1710846000-1710849600@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "An interdisciplinary approach to advance quantum science and technology"
DESCRIPTION:Quantum science and technology hold the promise to deepen our understanding of the universe and deliver groundbreaking technical innovations. The opportunity also poses a grand challenge to today’s scientists and engineers because initializing\, controlling\, manipulating\, and measuring quantum information while maintaining coherence and entanglement can be very difficult. Therefore\, successfully achieving breakthroughs will require an interdisciplinary approach that leverages resources from various disciplines to forge new pathways that cannot be defined by a singular field of study. \nIn this colloquium\, I will share my interdisciplinary adventure through quantum material and quantum device landscapes. We will start from the study of fundamental characteristics of Dirac and topological materials\, discussing first how their remarkable properties manifest in Josephson junctions. We will then focus on how we utilize the material physics to invent single-photon detectors\, which can operate as optical interconnects for cryogenic computing\, probe the quantum state of the photon\, and contribute to the search for dark matter axions. We will further explore how to utilize the novel properties of two-dimensional van der Waals materials to miniaturize qubits and develop quantum-noise-limited amplifiers. And finally\, we will turn around to apply what we have learned from quantum sensing to study electron hydrodynamics and the pairing symmetry of novel superconductivities\, including magic-angle-twisted graphene and topological Weyl superconductors. We will end by elucidating how to harness the kinetic inductance of these novel superconductors for future flight-missions to explore planetary science and the origins of life. \nReferences: \n\nE. D. Walsh\, et. al.\, “Josephson junction infrared single-photon detector\,” Science 372\, 409 (2021).\nA. Antony\, et. al. “Miniaturizing transmon qubits using van der Waals materials\,” Nano Lett. 21\, 10122 (2021).\nG.-H. Lee\, et. al.\, “Graphene-based Josephson junction microwave bolometer\,” Nature 586\, 42 (2020).
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-tbd-7/
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:20240319T100000
DTEND;TZID=America/New_York:20240319T113000
DTSTAMP:20260403T191522
CREATED:20240227T191818Z
LAST-MODIFIED:20240227T191818Z
UID:10007878-1710842400-1710847800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Designing Heart Valves from First Principles: Model Generation\, Congenital Disease and Surgical Treatment"
DESCRIPTION:Congenital heart defects affect approximately one in every hundred births and are the leading cause of infant mortality in the United States. Despite successes in surgical treatment\, suboptimal outcomes remain common. Surgical treatment of complex\, rare congenital heart valve defects typically follows an empirical\, retrospective\, “guess and check” approach. Further\, children with congenital valve defects are a heterogeneous patient population with limited numbers\, so clinical trials are difficult to conduct. Thus\, there is an unmet clinical need for engineering tools for design and analysis of congenital valve repair. Simulation-guided design tools provide a flexible\, controllable and efficient means to predict optimal surgical repairs and fill this clinical need. This talk will present new methods for fluid-structure interaction simulations of heart valves and the application of these methods to congenital heart disease. I will present a novel\, nearly first-principles method for model generation called design-based elasticity. In this method\, a system of partial differential equations representing the mechanical equilibrium of the valve under pressure is derived. The solution of these equations\, via tuning parameters and boundary conditions\, is designed to represent the predicted loaded configuration of the valve. A full model is then constructed from the loaded configuration. When simulating their coupled dynamics with blood\, these models are highly effective\, producing realistic flows under physiological pressures over multiple cardiac cycles. Results compare favorably with experimental data and show that hemodynamics change drastically with congenitally diseased valve phenotypes. Finally\, I will discuss simulation-guided design of surgical bicuspidization of the aortic valve\, a repair technique for severe congenital aortic pathology\, and preliminary results on in vitro validation and clinical translation to surgical practice.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-designing-heart-valves-from-first-principles-model-generation-congenital-disease-and-surgical-treatment/
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:20240318T133000
DTEND;TZID=America/New_York:20240318T143000
DTSTAMP:20260403T191522
CREATED:20240207T191133Z
LAST-MODIFIED:20240207T191133Z
UID:10007849-1710768600-1710772200@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "The Next Leap in Hardware Systems: Powered by Heterogenous Memory\, Logic\, and 3D Integration"
DESCRIPTION:Computing is at a critical juncture. Applications such as AI/ML demand much larger memory\, higher bandwidth\, and lower-energy compute compared to business as usual. New hardware systems\, powered by heterogenous memory\, logic\, and 3D integration\, are required for large energy efficiency\, throughput\, and scaleup benefits. I will present my contributions to three such heterogeneous systems: \n\nThe first edge AI/ML chips with full on-chip inference and training of CNNs and Transformers using foundry Resistive RAM (RRAM). The heterogeneous combination of RRAM and SRAM enables new circuit-architecture-algorithm interplay\, resulting in 9× or higher end-to-end Energy-Delay-Product (EDP) benefits versus traditional duty-cycled systems using SRAM\, DRAM\, or Flash.\nNew multi-chip Illusion systems for scaleup to 16× larger AI/ML models with 11× or higher EDP benefits versus traditional systems. Illusion minimizes inter-chip traffic by co-optimizing per-chip memory size\, heterogeneous inter- and intra-chip interconnects\, and idle power via fine-grained power management\, thus creating the illusion (within 10% EDP) of a Dream Chip with all resources on-chip.\nThe first foundry heterogeneous monolithic 3D hardware integrating silicon CMOS\, carbon nanotube field-effect transistors and RRAM\, demonstrating 4× memory bandwidth versus iso-footprint\, apples-to-apples conventional designs. Such benefits are only possible through new 3D architectures instead of 3D physical design alone.\n\nBigger benefits can be obtained for a wide set of applications by such hardware systems powered by a wider set of heterogeneous technologies. These also create exciting avenues for new courses.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-tbd-8/
LOCATION:Towne 337
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240315T100000
DTEND;TZID=America/New_York:20240315T110000
DTSTAMP:20260403T191522
CREATED:20240226T150956Z
LAST-MODIFIED:20240226T150956Z
UID:10007875-1710496800-1710500400@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Engineering Small Protein Based Inhibitors and Biodegraders for Cytosolic Delivery and Targeting of the Undruggable Proteome" (Alex Chan)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Andrew Tsourkas are pleased to announce the Doctoral Dissertation Defense of Alex Chan\n\nTitle: Engineering Small Protein Based Inhibitors and Biodegraders for Cytosolic Delivery and Targeting of the Undruggable Proteome\n\nDate: Friday\, March 15\nTime: 10:00-11:00 AM\nLocation: Smilow Translational Research Center SCTR 11-146AB\n\nZoom Link: https://upenn.zoom.us/j/94191357504\nMeeting ID: 941 9135 7504\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-engineering-small-protein-based-inhibitors-and-biodegraders-for-cytosolic-delivery-and-targeting-of-the-undruggable-proteome-alex-chan/
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:20240314T153000
DTEND;TZID=America/New_York:20240314T163000
DTSTAMP:20260403T191522
CREATED:20240227T172414Z
LAST-MODIFIED:20240227T172414Z
UID:10007877-1710430200-1710433800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Frameworks for Efficient Algorithms for Learning: Robustness and Data Compression"
DESCRIPTION:Though modern machine learning has been highly successful\, as we move towards more critical applications\, many challenges towards building trustworthy systems\, such as ensuring robustness\, privacy\, and fairness\, arise. Ad hoc and empirical approaches have often led to unintended consequences for these objectives\, thus necessitating a principled approach. Traditional solutions often require redesigning entire pipelines or come with a significant loss in quality. In this talk\, we will look at principles towards incorporating important desiderata into existing pipelines without significant computational and statistical overhead. \nWe will see two vignettes of this line of research. First\, we introduce the smoothed adversary model for sequential decision making\, which serves as a general model for learning under distribution shifts. In this setting\, we will statistically and computationally efficient algorithms for decision making under uncertainty. Second\, we will see a nearly linear-time algorithm for distribution compression leading to improved computational efficiency in diverse downstream statistical tasks.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-frameworks-for-efficient-algorithms-for-learning-robustness-and-data-compression/
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:20240314T090000
DTEND;TZID=America/New_York:20240314T100000
DTSTAMP:20260403T191522
CREATED:20240305T181615Z
LAST-MODIFIED:20240305T181615Z
UID:10007888-1710406800-1710410400@seasevents.nmsdev7.com
SUMMARY:Energy Week Lecture - "Towards Sustainable Artificial Intelligence and Datacenters"
DESCRIPTION:As the impact of artificial intelligence (AI) continues to proliferate\, computer architects must assess and mitigate its environmental impact. This talk will survey strategies for reducing the carbon footprint of AI computation and datacenter infrastructure\, drawing on data and experiences from industrial\, hyperscale systems. First\, we analyze the embodied and operational carbon implications of super-linear AI growth. Second\, we re-think datacenter infrastructure and define a solution space for carbon-free computation with renewable energy\, utility-scale batteries\, and job scheduling. Finally\, we develop strategies for datacenter demand response\, incentivizing both batch and real-time workloads to modulate power usage in ways that reflect their performance costs. In summary\, the talk provides a broad perspective on sustainable computing and outlines the many remaining directions for future work.
URL:https://seasevents.nmsdev7.com/event/energy-week-lecture-towards-sustainable-artificial-intelligence-and-datacenters/
LOCATION:Towne 337
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240313T153000
DTEND;TZID=America/New_York:20240313T163000
DTSTAMP:20260403T191522
CREATED:20240125T143814Z
LAST-MODIFIED:20240125T143814Z
UID:10007825-1710343800-1710347400@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Carbon Capture and Utilization in Flowing Oceanwater: A New Frontier in Photocatalysis" (Shu Hu\, Yale)
DESCRIPTION:Abstract: \nCarbon capture\, utilization\, and storage (CCUS) are critical for managing anthropogenic carbon dioxide (CO2) emissions. Great strides have been made in electrification so far\, but there are a handful of scenarios that still require hydrocarbon fuels and chemicals\, such as aviation\, long-haul trucking\, and marine shipping. On the one hand\, atmospheric CO2 is only 420 ppm\, and using alkaline sorbents for direct air capture is energy intensive; and there are issues with carbon utilization during electrochemical CO2 reduction. On the other hand\, atmospheric CO2 exchanges with surface seawater constantly\, and the concentration of dissolved inorganic carbon (DIC) in the oceans is approximately 140 times higher in carbon molarity than atmospheric CO2. Thus\, capturing and converting DIC in seawater represents an alternative approach to CO2 direct air capture. For these new opportunities\, our group takes a multi-scale approach: i.e.\, combining light-driven photocatalysis with reactive transport using engineered photo-reactors\, such as utilizing the 2.3-millimolar dissolved bicarbonate in oceanwater under sunlight. Photocatalysis concerns multiple redox reactions located within nanoscale distances: I will first elucidate the chemical physics of coupled processes during photocatalysis essentially to achieve >85% quantum efficiency; and then\, I will describe the design and realization of 3D-printed reactors. A flow photoreactor enables realistic ocean operation. This new process achieves one-step conversion to syngas\, which directly enables on-site liquid fuel production. Thus\, it saves over 50% of the energy that is used for stepwise separation of the 420 ppm CO2 in the air.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-carbon-capture-and-utilization-in-flowing-oceanwater-a-new-frontier-in-photocatalysis-shu-hu-yale/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut 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:20240313T150000
DTEND;TZID=America/New_York:20240313T170000
DTSTAMP:20260403T191522
CREATED:20240311T143630Z
LAST-MODIFIED:20240311T143630Z
UID:10007895-1710342000-1710349200@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Ionizable Lipid Nanoparticles for Solid Tumor Chimeric Antigen Receptor Immunotherapy" (Alvin Mukalel)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Michael J. Mitchell are pleased to announce the Doctoral Dissertation Defense of Alvin Mukalel.  \n \nTitle: Ionizable Lipid Nanoparticles for Solid Tumor Chimeric Antigen Receptor Immunotherapy\nDate: March 13\, 2024\nTime: 3:00 PM\nLocation: LRSM Auditorium\n \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-ionizable-lipid-nanoparticles-for-solid-tumor-chimeric-antigen-receptor-immunotherapy-alvin-mukalel/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, 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:20240313T150000
DTEND;TZID=America/New_York:20240313T160000
DTSTAMP:20260403T191522
CREATED:20240307T231327Z
LAST-MODIFIED:20240307T231327Z
UID:10007892-1710342000-1710345600@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP SFI: Joseph DelPreto\, Massachusetts Institute of Technology\, "Using Sensing and AI to Enrich Human Interactions with Machines and Nature"
DESCRIPTION:This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. \nABSTRACT\nCoupling advanced wearable and environmental sensors with dynamic AI frameworks has the potential to transform how we engage with machines and with the natural world.  By co-developing intelligent sensors and deployable machine learning pipelines\, we can unlock the power of data to address impactful challenges in fields ranging from human-robot collaboration to environmental science.  Realizing this vision will require a multifaceted approach including networks that extract insights from large streams of continuous data\, algorithms that adapt to new subjects or environments from limited examples\, unobtrusive sensing with embedded autonomy\, scalable multimodal dataset curation\, and paradigms for fluid human interactions with AI systems.  Moving towards these goals\, this talk will present approaches to creating more intelligent and fluid human-robot interactions by leveraging wearable sensors for brain\, muscle\, and motion activity combined with adaptive learning pipelines.  It will explore how these techniques can scale to curate multimodal datasets of human behavior that aim to support foundational models of physical intelligence.  To help improve sensing capabilities\, it will also discuss techniques for creating soft wearable sensors with embedded learning pipelines.  Finally\, recent results of using wearable and deployable sensors to study non-human species will be introduced; combining robust wearable sensor tags\, drones\, and new machine learning pipelines can reveal exciting insights into the language and culture of sperm whales.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-sfi-joseph-delpreto/
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:20240313T120000
DTEND;TZID=America/New_York:20240313T133000
DTSTAMP:20260403T191522
CREATED:20240125T213305Z
LAST-MODIFIED:20240125T213305Z
UID:10007829-1710331200-1710336600@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Making Machine Learning Predictably Reliable" (Andrew Ilyas\, Massachusetts Institute of Technology)
DESCRIPTION:ABSTRACT:  \nDespite ML models’ impressive performance\, training and deploying them is currently a somewhat messy endeavor. But does it have to be? In this talk\, I overview my work on making ML “predictably reliable”—enabling developers to know when their models will work\, when they will fail\, and why. \nTo begin\, we use a case study of adversarial inputs to show that human intuition can be a poor predictor of how ML models operate. Motivated by this\, we present a line of work that aims to develop a precise understanding of the ML pipeline\, combining statistical tools with large-scale experiments to characterize the role of each individual design choice: from how to collect data\, to what dataset to train on\, to what learning algorithm to use. \nZOOM LINK (if unable to attend in-person): https://upenn.zoom.us/j/98699592762
URL:https://seasevents.nmsdev7.com/event/asset-seminar-andrew-ilyas-massachusetts-institute-of-technology/
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:20240312T153000
DTEND;TZID=America/New_York:20240312T163000
DTSTAMP:20260403T191522
CREATED:20240209T135327Z
LAST-MODIFIED:20240209T135327Z
UID:10007855-1710257400-1710261000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Modern Clouds: Side-Channel Attacks and Defenses"
DESCRIPTION:Cloud computing\, which has seen significant growth over the past decade\, fundamentally relies on the sharing of hardware resources among users. This approach enhances resource utilization and reduces operational costs. However\, it also enables unintended information leakage through hardware side channels. Despite the threat of side-channel attacks\, cloud vendors remain skeptical about the practicality of these attacks in production cloud environments\, leading to inadequate side-channel mitigations.\n\nMy PhD research focuses on exploring side-channel attacks in realistic cloud settings and developing comprehensive defenses across the computing stack. In this talk\, I will first introduce a series of novel attack techniques that address practical challenges in conducting side-channel attacks in clouds. Using these techniques\, I demonstrated an end-to-end\, cross-tenant side-channel attack on Google Cloud. This demonstration was subsequently recognized by Google as a critical-level bug\, prompting a review by their product team. In the second part of this talk\, I will introduce Untangle\, a novel framework for side-channel defense. Untangle is designed to quantify and reduce information leakage in defense schemes based on dynamic resource-partitioning. Untangle opens up a new defense paradigm that allows a controlled amount of information leakage in exchange for improved performance. To conclude\, I will outline future research directions aimed at developing secure and efficient cloud systems resistant to side-channel attacks.
URL:https://seasevents.nmsdev7.com/event/10698/
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:20240312T110000
DTEND;TZID=America/New_York:20240312T120000
DTSTAMP:20260403T191522
CREATED:20240201T140242Z
LAST-MODIFIED:20240201T140242Z
UID:10007842-1710241200-1710244800@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Learning and controlling noisy quantum systems"
DESCRIPTION:Two of the main challenges in scaling up quantum systems are noise and control\, arising from the systems’ sensitivity to the environment and its exponential complexity. The first step in resolving these challenges is characterizing and learning the noisy dynamics. In this talk\, I’ll discuss how the very quantum features that contribute to this complexity\, such as entanglement\, can actually enhance our ability to learn quantum processes. I’ll then show how\, by using information about noise and its interactions with controls\, we can efficiently suppress noise processes on a large scale when executing quantum programs. Additionally\, I’ll highlight the advantages of newly developed adaptive control techniques with dynamic circuits for performing long-range entangling operations faster and with greater fidelity than non-adaptive circuits. Finally\, I’ll discuss future directions and open questions in understanding noisy quantum systems.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-tbd-6/
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:20240312T100000
DTEND;TZID=America/New_York:20240312T113000
DTSTAMP:20260403T191522
CREATED:20240229T220457Z
LAST-MODIFIED:20240229T220457Z
UID:10007882-1710237600-1710243000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Lymphocyte Mechano-regulation for Immunotherapies"
DESCRIPTION:In the dynamic field of biomedical engineering and immunotherapy\, my recent research unveils the intricate relationship between mechanical forces and immune cell activation\, bridging the realms of biology and immunotherapy. This study aims to unearth innovative pathways for adoptive immunotherapies\, emphasizing the role of biomedical and mechanobiological insights in broadening our understanding. \nThe core focus lies in decoding the mechanobiological pathways governing T cell and B cell activation. It explores the interplay between external mechanical cues and the immune cell activation process\, with a nod to biomedical concepts for fresh perspectives. In my presentation I will focus on links between mechanical cues\, gene expression profiles\, and the spatial organization of genomic loci and transcripts within immune cells. Combining optical super-resolution imaging\, traction force and molecular force microscopy with functional read-outs – such as single cell transcriptomics and mitochondrial activity – opens possibilities for quality control in chimeric antigen receptor T (CAR-T) cell therapy\, with potential applications in clinical contexts. \nThis interdisciplinary approach holds the potential to revolutionize adoptive immunotherapies\, incorporating insights from biomedical and life sciences.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-lymphocyte-mechano-regulation-for-immunotherapies/
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:20240311T143000
DTEND;TZID=America/New_York:20240311T153000
DTSTAMP:20260403T191522
CREATED:20240305T144130Z
LAST-MODIFIED:20240305T144130Z
UID:10007887-1710167400-1710171000@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP Seminar: Saurabh Gupta\, University of Illinois at Urbana-Champaign\, "Robot Learning by Understanding Egocentric Videos"
DESCRIPTION:*This seminar will be held in-person in Raisler Lounge (Towne 225) with virtual attendance via Zoom.  \nABSTRACT\nTrue gains of machine learning in AI sub-fields such as computer vision and natural language processing have come about from the use of large-scale diverse datasets for learning. In this talk\, I will discuss how we can leverage large-scale diverse data in the form of egocentric videos (first-person videos of humans conducting different tasks) to similarly scale up policy learning for robots. A central challenge is the gap in embodiment and intentions. I will describe how we can leverage video data in spite of this gap by learning at different levels of abstraction. I will demonstrate applications of this principle for a) acquiring low-level visuomotor subroutines and high-level value functions for navigation\, and b) building an interactive understanding of objects\, through observation of human hands\, for manipulation.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-seminar-saurabh-gupta-university-of-illinois-at-urbana-champaign-robot-learning-by-understanding-egocentric-videos/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 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:20240311T120000
DTEND;TZID=America/New_York:20240311T140000
DTSTAMP:20260403T191522
CREATED:20240220T145752Z
LAST-MODIFIED:20240220T145752Z
UID:10007867-1710158400-1710165600@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Engineering hydrogel microstructure to promote meniscus repair" (Karen Xu)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania along with Drs. Jason Burdick and Rob Mauck proudly announce the Doctoral Dissertation Defense of Karen Xu. \nTitle: Engineering hydrogel microstructure to promote meniscus repair \nDate: March 11\, 2024 \nTime: 12:00pm \nLocation: Reunion Auditorium in John Morgan Building \nIf you would like a zoom link\, please email:  karen.xu@pennmedicine.upenn.edu \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-engineering-hydrogel-microstructure-to-promote-meniscus-repair-karen-xu/
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
END:VCALENDAR