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DTSTART;TZID=America/New_York:20240828T153000
DTEND;TZID=America/New_York:20240828T163000
DTSTAMP:20260403T154316
CREATED:20240816T192839Z
LAST-MODIFIED:20240816T192839Z
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SUMMARY:CBE Seminar: "Self-assembly Models for Crystal Growth and Phase Transitions" (Julia Dshemuchadse\, Cornell University)
DESCRIPTION:Abstract: \nHow can we make new materials and better understand how their underlying structures form? The direct observation of crystal growth and transitions remains supremely challenging\, but gaining insight into these fundamental processes is central to our quest of creating materials in a rational and targeted way\, connecting structure to functionality. We build self-assembly models\, study how they react to perturbations on the particle and system levels\, and investigate their impact on crystal growth and transformation pathways. We use simple coarse-grained models to gain systematic insights into the phenomena that lead to the crystallization of complex crystal structures\, partial disorder\, or magic-size assemblies\, allowing us to derive the essential principles that govern the formation of materials’ structures. Our goal is to use these insights to find ways to tailor crystallization pathways and to create new functional materials. Our work promises to establish new pathways to materials design through simulations\, which explicitly incorporate and explore phase transformation kinetics.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-self-assembly-models-for-crystal-growth-and-phase-transitions-julia-dshemuchadse-cornell-university/
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:20240903T101500
DTEND;TZID=America/New_York:20240903T111500
DTSTAMP:20260403T154316
CREATED:20240815T151622Z
LAST-MODIFIED:20240815T151622Z
UID:10008043-1725358500-1725362100@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "CRISPR-Programmed Microfluidic Devices for DNA Detection\, Computing and Digital Display"
DESCRIPTION:CRISPR is a gene editing technique that allows researchers to quickly and precisely edit genome sequences. Beyond gene editing\, CRISPR-Cas systems can be repurposed as a programmable platform for other various applications. In this talk\, I will introduce how we use CRISPR technology to program microfluidic devices for DNA detection\, DNA computing and digital display. First\, I will present our advancements in investigating simple\, sensitive and specific CRISPR assay technologies for DNA detection. Second\, I will discuss how to integrate CRISPR assay with microfluidics technology to develop affordable and programmable microfluidic diagnostic systems for infectious disease detection and cancer diagnostics. Third\, I will describe how we program CRISPR and DNA to develop paper-based microfluidic devices for DNA computing and digital display. Overall\, by combining the programmability of CRISPR with the integration capability of microfluidics\, we can develop next-generation tools not only for biomedical diagnostics\, but also for information technology.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-crispr-programmed-microfluidic-devices-for-dna-detection-computing-and-data-search/
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:20240904T120000
DTEND;TZID=America/New_York:20240904T131500
DTSTAMP:20260403T154316
CREATED:20240709T172748Z
LAST-MODIFIED:20240709T172748Z
UID:10008007-1725451200-1725455700@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Bridging the Gap Between Learning and Programming"
DESCRIPTION:Abstract:  \nFor decades\, we have built software by writing code\, but in recent years machine learning has emerged as a new approach to create software with features that would be impossible to code by hand. However\, the use of learning to build software risks ignoring some of the lessons we have learned for how to build computer systems that are robust and maintainable. In this talk\, I will describe a new class of techniques we have developed under the term “neurosymbolic programming” which aim to support learning while maintaining some of the benefits of traditional programming\, such as modularity\, interpretability\, reusability and incremental development\, and will show some of the benefits these techniques can offer in domains ranging from robotics to computational biology. \nZoom Link (if unable to attend in-person): https://upenn.zoom.us/j/93017587225
URL:https://seasevents.nmsdev7.com/event/asset-seminar-armando-solar-lezama-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:20240904T153000
DTEND;TZID=America/New_York:20240904T163000
DTSTAMP:20260403T154316
CREATED:20240816T193457Z
LAST-MODIFIED:20240816T193457Z
UID:10008048-1725463800-1725467400@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Pressure-induced Nanoparticle Assembly" (Hongyou Fan\, Sandia National Laboratories)
DESCRIPTION:Abstract: \nPrecise control of structural parameters through nanoscale engineering to improve optical and electronic properties of functional nanomaterials continuously remains an outstanding challenge. Previous work on nanoparticle synthesis and assembly has been conducted largely through solution chemistry at ambient pressure and relies on specific chemical or physical interactions such as van der Waals interactions\, dipole-dipole interactions\, chemical reactions\, ligand-receptor interactions\, etc. In this presentation\, I will introduce a new pressure-induced assembly and fabrication method that uses mechanical compressive force applied to nanoparticles to induce structural phase transition and to consolidate new nanomaterials with precisely controlled structures and tunable properties. By manipulating nanoparticle coupling through external pressure\, instead of through solution chemistry\, a reversible change in their assemblies and properties can be achieved and demonstrated. In addition\, over a certain threshold\, the external pressure will force these nanoparticles into contact\, thereby allowing the formation and consolidation of one- to three-dimensional nanostructures. Through pressure induced nanoparticle assembly\, materials engineering and synthesis become remarkably flexible without relying on traditional crystallization process where atoms/ions are locked in a specific crystal structure. Therefore\, morphology or architecture can be readily tuned to produce desirable properties for practical applications. (SAND2024-00611O) Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia\, LLC.\, a wholly owned subsidiary of Honeywell International\, Inc.\, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-pressure-induced-nanoparticle-assembly-hongyou-fan-sandia-national-laboratories/
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:20240905T101500
DTEND;TZID=America/New_York:20240905T111500
DTSTAMP:20260403T154316
CREATED:20240823T210256Z
LAST-MODIFIED:20240823T210256Z
UID:10008072-1725531300-1725534900@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Controlling Contact Transitions for Dynamic Robots"
DESCRIPTION:Legged robots\, robotic manipulators\, and their combined embodiment as humanoid robots have received considerable attention across both academia and industry. However\, with few notable exceptions\, state-of-the-art demonstrations are significantly less dynamic than their biological counterparts. A considerable challenge towards achieving more dynamic robots lies within controlling contact interactions with their environment. Legged robots undergoing impacts experience near-instantaneous changes in their velocities\, making accurate state estimation difficult and resulting in controller sensitivity to even small deviations in impact timing. Contact transitions are also challenging for robot manipulation due to the combinatorial complexity of planning across multiple contact modes. Frictional contact that often arises from dynamic manipulation further increases this planning complexity due to the introduction of additional contact modes and increased degree of underactuation. \nTo address these limitations\, this thesis proposes algorithmic and systems contributions to gracefully handle contact transitions for dynamic robots. First\, we identify that uncertainties from impact events enter the system dynamics in a structured manner. We leverage this structure to propose a general modification to model-based feedback controllers\, enabling selective robustness to impact uncertainty while maximally retaining control authority. We validate our approach on custom dynamic jumping and running controllers on the 3D bipedal robot\, Cassie. \nThen\, we examine dexterous dynamic manipulation through complex non-prehensile tasks that require considering the full spectrum of hybrid contact modes. We leverage recent advancements in contact-implicit MPC to generate contact-rich motion plans in real-time. We demonstrate\, through careful integration of the MPC and low-level tracking controller\, how contact-implicit MPC can be adapted to dynamic tasks. We perform two distinct tasks using the same model\, notably without common aids such as reference trajectories or motion primitives\, highlighting the generality of our approach.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-controlling-contact-transitions-for-dynamic-robots/
LOCATION:Towne 311\, 220 S. 33rd Street\, Philadelphia\, 19104\, United States
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:20240905T103000
DTEND;TZID=America/New_York:20240905T120000
DTSTAMP:20260403T154316
CREATED:20240830T004549Z
LAST-MODIFIED:20240830T004549Z
UID:10008080-1725532200-1725537600@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Working Safely in the Lab: Navigating Common Laboratory Hazards in MSE Research"
DESCRIPTION:EHRS staff will discuss how to work safely in the lab while navigating the changing landscape of materials science and engineering research. \nThe talk will also cover;\n– Standard orientation topics (physical/bio/chem safety\, waste disposal\, Workday training\, etc.)\n– The new methylene chloride regulations and how they will affect EHRS and Penn operations.\n– Safe use of tube furnaces\, especially in combination with flammable gases.\n– Hazards associated with old chemical inventory.\n– EHRS’s new incident reporting form.\n– Sustainability initiatives at Penn
URL:https://seasevents.nmsdev7.com/event/mse-seminar-working-safely-in-the-lab-navigating-common-laboratory-hazards-in-mse-research-2/
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:20240905T120000
DTEND;TZID=America/New_York:20240905T140000
DTSTAMP:20260403T154316
CREATED:20240820T122117Z
LAST-MODIFIED:20240820T122117Z
UID:10008057-1725537600-1725544800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Developing Translational Multimodal Neurotechnology Across Multiple Scales Using Novel Materials And Approaches" (Sneha Shankar)
DESCRIPTION:The Department of BIoengineering and Dr. Flavia Vitale proudly announce the Doctoral Dissertation Defense of Sneha Shankar.  Details are as follows:\n\nTitle: “Developing Translational Multimodal Neurotechnology Across Multiple Scales Using Novel Materials And Approaches”\nDate: September 5th\, 2024\nTime: 12pm \nLocation: Glandt Forum\, Singh Center for Nanotechnology\nAdvisor: Flavia Vitale\nZoom option: https://upenn.zoom.us/j/97587304173?pwd=RgyJPz5nLAQMVwc0zR6uBUBbun0d5J.1\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-developing-translational-multimodal-neurotechnology-across-multiple-scales-using-novel-materials-and-approaches-sneha-shankar/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 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:20240905T153000
DTEND;TZID=America/New_York:20240905T163000
DTSTAMP:20260403T154316
CREATED:20240725T164244Z
LAST-MODIFIED:20240725T164244Z
UID:10008030-1725550200-1725553800@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Designing Programmable Protein Therapeutics with Generative Language Models" (Pranam Chatterjee\, Duke University)
DESCRIPTION:CRISPR has revolutionized biotechnology by enabling the simple design of guide RNAs to target and edit almost any DNA sequence. By developing new generative protein design algorithms\, my hybrid lab focuses on extending this CRISPR-like programmability to proteins and other key molecules. In this talk\, we will first delve into our algorithms that design binders to undruggable proteins\, such as those driving pediatric cancers (alveolar rhabdomyosarcoma and Ewing’s sarcoma) and neurodegenerative diseases (Huntington’s and Alexander Disease). Our generative language models\, including SaLT&PepPr\, PepPrCLIP\, and PepMLM\, design short binding peptides from target sequence alone\, with no dependence on stable 3D structures\, and by fusing these “guide” peptides to E3 ubiquitin ligases\, deubiquitinases\, and other modifying enzymes\, we have created a CRISPR-analogous system to edit these proteins. To be even more specific\, we train isoform-specific targeting models such as PTM-Mamba for PTM-specific binding\, FusOn-pLM for fusion oncoprotein-specific degradation\, and moPPIt for motif-specific targeting of protein-protein interactions. Inspired by the power of language models\, we further show how we can extend this programmability to DNA with our PAM-free CRISPR enzymes and our recent DPAC model\, which allows us to design proteins that can bind and modulate any DNA sequence. Moreover\, we are creating binders for heavy metals through our MetaLATTE algorithm\, aiming to sequester and detoxify metals from contaminated environments\, and addressing chemical pollutants\, such as PFAS\, by leveraging our generative models to develop proteins that can bind and degrade these persistent environmental toxins. Finally\, we will explore our long-term goal of generating new cell states with model-designed proteins\, highlighting our recent work on transcription factor-directed stem cell differentiation to ovarian cell types\, such as granulosa cells and oogonia. By combining generative design with experimental engineering\, our hybrid lab aims to translate these advances into practical applications for treating intractable diseases and addressing environmental challenges.
URL:https://seasevents.nmsdev7.com/event/be-seminar-pranam-chatterjee-duke-university/
LOCATION:216 Moore Building
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240910T101500
DTEND;TZID=America/New_York:20240910T111500
DTSTAMP:20260403T154316
CREATED:20240820T193100Z
LAST-MODIFIED:20240820T193100Z
UID:10008059-1725963300-1725966900@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Elasticity of Fluids in Nanopores: Molecular Modeling and Ultrasonic Experiments"
DESCRIPTION:Fluids confined in nanopores are ubiquitous in nature and technology. In recent years\, the interest in confined fluids has grown\, driven by research on unconventional hydrocarbon resources — shale gas and shale oil\, much of which are confined in nanopores. When fluids are confined in nanopores\, many of their properties differ from those of the same fluid in the bulk. These properties include density\, freezing point\, transport coefficients\, thermal expansion coefficient\, and\, as it was shown recently\, elastic properties. \nThe elastic modulus of a fluid confined in the pores contribute to the overall elasticity of the fluid-saturated porous medium and determine the speed at which elastic waves traverse through the medium. In this talk I will show how elastic modulus of a confined fluid in a nanopore can be calculated based on Monte Carlo and molecular dynamics simulations and illustrate it with calculations for various fluids. Additionally\, I will present our recent experimental measurements of elastic properties of water confined in nanoporous glass samples. Our results suggest that some of the models widely used for describing elasticity of fluid-saturated porous solids need to be revised.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-elasticity-of-fluids-in-nanopores-molecular-modeling-and-ultrasonic-experiments/
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:20240910T103000
DTEND;TZID=America/New_York:20240910T120000
DTSTAMP:20260403T154316
CREATED:20240904T123547Z
LAST-MODIFIED:20240904T123547Z
UID:10008084-1725964200-1725969600@seasevents.nmsdev7.com
SUMMARY:Biomedical Data Science Seminar Series - "Unlocking Brain Insights: Machine Learning for Neuroimaging Studies"
DESCRIPTION:Modern neurotechnologies generate vast and intricate imaging data across multiple modalities\, capturing nuanced aspects of brain structure and function in both healthy and diseased states\, thus propelling neuroimaging into the ‘big data’ era. The quantitative analysis of such extensive neuroimaging datasets presents unprecedented opportunities for uncovering novel insights into various neuroscience problems. Machine learning and AI have emerged as promising tools for these analyses\, capable of producing personalized\, quantitative imaging-based indices with diagnostic and prognostic value\, potentially revolutionizing healthcare delivery. However\, technical challenges persist due to the high dimensionality of imaging data\, disease heterogeneity\, and the integration of these technologies into clinical workflows. In this talk\, I will discuss novel computational approaches that harness advanced machine learning techniques to tackle these challenges. First\, I will present progress toward a scalable unsupervised non-negative matrix factorization framework for interpretable and reproducible dimensionality reduction of neuroimaging data. Second\, I will delve into a deep learning framework designed to parse disease heterogeneity and generate subject-specific abnormality maps. Finally\, I will explore deep learning models aimed at overcoming obstacles in implementing AI-enabled clinical workflows. I will illustrate the broad impact of these approaches through their applications in diverse settings\, with a focus on Alzheimer’s disease.
URL:https://seasevents.nmsdev7.com/event/biomedical-data-science-seminar-series-unlocking-brain-insights-machine-learning-for-neuroimaging-studies/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Center for Biomedical Image Computing & Analytics":MAILTO:jessicai@pennmedicine.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240911T100000
DTEND;TZID=America/New_York:20240911T120000
DTSTAMP:20260403T154316
CREATED:20240904T193341Z
LAST-MODIFIED:20240904T193341Z
UID:10008086-1726048800-1726056000@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Guided organogenesis using mosaic patterns of progenitors" (Catherine Porter)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Alex Hughes are pleased to announce the Doctoral Dissertation Defense of Catherine Porter.\n\n\nTitle: Guided organogenesis using mosaic patterns of progenitors\n\nDate: September 11\, 2024\nTime: 10:00 AM\nLocation: BRB Auditorium\n\nZoom info:\nTopic: Catherine Porter’s Dissertation Defense\nTime: Sep 11\, 2024 10:00 AM Eastern Time (US and Canada) \nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/99041449653?pwd=xgLYkg2vO3qh6lqpNBsqELEgTaG6Ew.1 \nMeeting ID: 990 4144 9653\nPasscode: 045418 \n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-guided-organogenesis-using-mosaic-patterns-of-progenitors-catherine-porter/
LOCATION:BRB Auditorium
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:20240911T120000
DTEND;TZID=America/New_York:20240911T131500
DTSTAMP:20260403T154316
CREATED:20240814T160009Z
LAST-MODIFIED:20240814T160009Z
UID:10008041-1726056000-1726060500@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Machine Learning and Brain Imaging: Contributions to Diagnostics\, Prognostication\, and Treatment Guidance"
DESCRIPTION:Abstract: \nNeuroimaging has significantly expanded our understanding of brain changes in neuropsychiatric disorders as well as in aging and neurodegenerative diseases. However\, it wasn’t until the advent of machine learning tools that imaging signatures that can be detected in individuals\, rather than groups\, were constructed. More importantly\, imaging signatures derived via machine learning models have shown promise in prognostication\, as well as in guiding personalized treatments. This talk will present work on deriving imaging signatures of diagnostic and predictive value. It will then focus on weakly-supervised machine learning methods for analysis of the heterogeneity of brain imaging phenotypes\, arriving at a dimensional representation reflecting the heterogeneity of brain aging and of various brain diseases. Finally\, international consortia pooling and harmonizing large numbers of brain MRIs from many studies are presented as means for creating sufficiently large datasets for robust machine learning training and heterogeneity analysis\, but also pose new challenges\, including that or harmonization and domain adaptation across studies. \nZoom Link (if unable to attend in-person): https://upenn.zoom.us/j/92905415705
URL:https://seasevents.nmsdev7.com/event/asset-seminar-christos-davatzikos-university-of-pennsylvania/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ATTACH;FMTTYPE=image/png:https://seasevents.nmsdev7.com/wp-content/uploads/2024/08/3.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240911T133000
DTEND;TZID=America/New_York:20240911T153000
DTSTAMP:20260403T154316
CREATED:20240820T180336Z
LAST-MODIFIED:20240820T180336Z
UID:10008058-1726061400-1726068600@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Quantitative Intracranial EEG Methods for Targeted Therapy in Drug-resistant Epilepsy" (Akash Pattnaik)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Brian Litt proudly announce the Doctoral Dissertation Defense of Akash Pattnaik.\n \n\nTitle: Quantitative Intracranial EEG Methods for Targeted Therapy in Drug-resistant Epilepsy\n\nDate: Wednesday September 11\nTime: 1:30pm\nLocation: Glandt Forum\, Singh Center for Nanotechnology\nAdvisor: Dr. Brian Litt\nZoom option: https://upenn.zoom.us/j/93665199428?pwd=kSjDphv31aMk1pfwb2Jp8BZCQetxfY.1\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-quantitative-intracranial-eeg-methods-for-targeted-therapy-in-drug-resistant-epilepsy-akash-pattnaik/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 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:20240911T140000
DTEND;TZID=America/New_York:20240911T150000
DTSTAMP:20260403T154316
CREATED:20240905T192732Z
LAST-MODIFIED:20240905T192732Z
UID:10008090-1726063200-1726066800@seasevents.nmsdev7.com
SUMMARY:GRASP Seminar: Shlomi Laufer\, Technion – Israel Institute of Technology\, "Enhancing Surgical Skill Assessment Through Computer Vision"
DESCRIPTION:*This seminar will be held in-person in Levine 307 as well as virtually via Zoom.  \nABSTRACT\nMedical education traditionally employs the apprenticeship model\, where trainees learn directly under the supervision of experienced practitioners. This model necessitates close follow-up and typically provides extremely subjective and non- standardized feedback. Over the years\, efforts to introduce more objective assessment tools have gained momentum\, although these tools often remain time-consuming and can still be influenced by subjective evaluations. Recently\, the integration of motion sensors with medical simulators has provided a more objective form of feedback. However\, they are typically limited to different aspects of motion economy. In this presentation\, I will explore how advancements in computer vision can be utilized to create more informative assessments and feedback on surgical skills. I will also briefly discuss automatic assessment of anesthesiologists. Additionally\, I will demonstrate how introducing cameras into the operating room provides a new avenue\nfor analyzing surgical workflows.
URL:https://seasevents.nmsdev7.com/event/grasp-seminar-shlomi-laufer-technion-israel-institute-of-technology-enhancing-surgical-skill-assessment-through-computer-vision/
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:20240912T103000
DTEND;TZID=America/New_York:20240912T120000
DTSTAMP:20260403T154316
CREATED:20240814T222323Z
LAST-MODIFIED:20240814T222323Z
UID:10008042-1726137000-1726142400@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Sustainability Efforts at Dow: Vision\, Strategy\, Case Studies\, and Challenges\,” Kumar Sanketh\, Dow
DESCRIPTION:Materials and chemicals impact daily life\, as they enable modern healthcare\, preservation of food\, and delivering performance and efficiency of transportation and infrastructure. The talk will focus on Dow’s vision and path for carbon neutrality. An overview of Dow Chemical’s portfolio and the breadth of chemistries being practiced will be discussed. Dow has a vision of being carbon neutral by 2050 and recycling 3MM MT of plastics by 2030. To meet this ambitious goal\, innovation is being focused on four different fronts related to sustainable chemistry and Engineering. They include Reducing Hazards\, Atom economy\, Energy footprint\, & Holistic design. Case studies will be presented on how innovation in these spaces is being developed and commercialized. To address the complex challenges in sustainable materials and circularity there is a need for collaborative efforts across Industry\, academia\, and government policy. In this regard\, some of the challenges which can be considered for collaboration will be presented.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-sustainability-efforts-at-dow-vision-strategy-case-studies-and-challenges-kumar-sanketh-dow/
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:20240912T140000
DTEND;TZID=America/New_York:20240912T160000
DTSTAMP:20260403T154316
CREATED:20240827T135356Z
LAST-MODIFIED:20240827T135356Z
UID:10008073-1726149600-1726156800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Mechanistic Elucidation and Amelioration of RNA Lipid Nanoparticle Side Effects for Therapeutic Applications" (Serena Omo-Lamai)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Jacob Brenner proudly announce the Doctoral Dissertation Defense of Serena Omo-Lamai.\n\nTitle: Mechanistic Elucidation and Amelioration of RNA Lipid Nanoparticle Side Effects for Therapeutic Applications \nAdvisor: Jacob Brenner\, MD\, PhD\n\nDate: Thursday September 12th\nTime: 2:00pm\nLocation: BRB 1412\n\nZoom Option Info: Serena Omo-Lamai is inviting you to a scheduled Zoom meeting.\nTopic: Serena Omo-Lamai’s Thesis Defense Time: Sep 12\, 2024 02:00 PM Eastern Time (US and Canada)\nJoin Zoom Meeting https://upenn.zoom.us/j/99710440253 Meeting ID: 997 1044 0253\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-mechanistic-elucidation-and-amelioration-of-rna-lipid-nanoparticle-side-effects-for-therapeutic-applications-serena-omo-lamai/
LOCATION:BRB 1412
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:20240912T153000
DTEND;TZID=America/New_York:20240912T163000
DTSTAMP:20260403T154316
CREATED:20240903T174856Z
LAST-MODIFIED:20240903T174856Z
UID:10008083-1726155000-1726158600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Trustworthy Forecasting Algorithms"
DESCRIPTION:Algorithms are increasingly tasked with forecasting the probabilities of uncertain events: a creditor repaying a loan\, a user clicking an advertisement\, or a word appearing next in a stream of text\, for example. Such forecasts are trustworthy if their users can be sure they won’t regret treating the predicted probabilities as if they were actual distributions from which outcomes would be sampled. The term “calibration” refers to various measures of forecast accuracy that formalize this property of trustworthiness. Defining calibration\, and designing algorithms to achieve it\, turns out to be a tightrope walk between strong definitions\, which ensure reliable results for users but are computationally and statistically harder to achieve\, and weak definitions\, which have the opposite benefits and drawbacks. I will report on some recent research aimed at locating a sweet spot between these two extremes: calibration properties that are achievable using no more samples or computation than the easiest statistical learning tasks\, while providing guarantees for downstream users that are\, in many cases\, as powerful as the strongest notions of calibration. \nThis talk is based on joint work with Michael Kim\, Princewill Okoroafor\, Renato Paes Leme\, Jon Schneider\, and Yifeng Teng.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-trustworthy-forecasting-algorithms/
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:20240917T101500
DTEND;TZID=America/New_York:20240917T111500
DTSTAMP:20260403T154316
CREATED:20240828T131823Z
LAST-MODIFIED:20240828T131823Z
UID:10008074-1726568100-1726571700@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Natural Structural Materials: Lessons on Toughening Mechanisms\, Weight Reduction\, and Multifunctionality"
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 various 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 structure-property relationships in some natural structural materials by focusing on their strategies for achieving damage tolerance\, weight reduction\, and multifunctionality. For example\, I will present a unique damage-tolerant\, dual-scale\, single-crystalline\, low-density microlattice 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 will stimulate more discussions in research areas such as materials\, mechanics\, biomimetics\, biology\, and manufacturing.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-natural-structural-materials-lessons-on-toughening-mechanisms-weight-reduction-and-multifunctionality/
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:20240917T110000
DTEND;TZID=America/New_York:20240917T120000
DTSTAMP:20260403T154316
CREATED:20240821T134920Z
LAST-MODIFIED:20240821T134920Z
UID:10008060-1726570800-1726574400@seasevents.nmsdev7.com
SUMMARY:ESE Fall Seminar - "Big AI for Small Devices"
DESCRIPTION:As artificial intelligence (AI) transforms industries\, state-of-the-art models have exploded in size and capability. However\, deploying these models on resource-constrained edge devices remains a significant challenge. Smartphones\, wearables\, and IoT sensors face stringent limitations on compute\, memory\, power\, and communication\, creating a gap between demanding AI models and edge hardware capabilities that hinders the deployment of intelligence. In this talk\, we will re-examine techniques to bridge this gap and embed big AI on small devices. We will begin by discussing how the properties of various hardware platforms impact the design strategies of efficient deep neural network (DNN) models\, such as quantization and pruning. Next\, we will discuss techniques aimed at reducing the inference and training costs of distributed collaborative edge AI systems. Finally\, we will delve into the underlying design philosophies and their evolution toward efficient\, scalable\, robust\, and secure edge computing systems.
URL:https://seasevents.nmsdev7.com/event/ese-fall-seminar-title-tbd-8/
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:20240917T153000
DTEND;TZID=America/New_York:20240917T163000
DTSTAMP:20260403T154316
CREATED:20240905T122211Z
LAST-MODIFIED:20240905T122211Z
UID:10008087-1726587000-1726590600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Recent Advances in Spatial Generative AI"
DESCRIPTION:Generative spatial AI offers unprecedented capabilities for photorealistic scene representation\, generation\, and novel-view synthesis\, among other tasks. In this talk\, we discuss recent advances in large-scale 3D scene representations\, efficient neural rendering approaches\, and generative AI strategies that allow us to generate photorealistic multi-view-consistent digital humans and general 3D scenes.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-recent-advances-in-spatial-generative-ai/
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:20240918T120000
DTEND;TZID=America/New_York:20240918T131500
DTSTAMP:20260403T154316
CREATED:20240709T173450Z
LAST-MODIFIED:20240709T173450Z
UID:10008008-1726660800-1726665300@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Representation-based Learning and Control for Dynamical Systems"
DESCRIPTION:Abstract:  \nThe explosive growth of machine learning and data-driven methodologies have revolutionized numerous fields. Yet\, the translation of these successes to the domain of dynamical physical systems remains a significant challenge. Closing the loop from data to actions in these systems faces many difficulties\, stemming from the need for sample efficiency and computational feasibility\, along with many other requirement such as verifiability\, robustness\, and safety. In this talk\, we bridge this gap by introducing innovative representations to develop nonlinear stochastic control and reinforcement learning methods. Key in the representation is to  represent the stochastic\, nonlinear  dynamics linearly onto a nonlinear feature space. We present a comprehensive framework to develop control and learning strategies which achieve efficiency\, safety\, robustness\, and scalability with provable performance. We also show how the representation could be used to close the sim-to-real gap. Lastly\, we will briefly present some concrete real-world applications\, discussing how domain knowledge is applied in practice to further close the loop from data to actions. \nZoom Link (if unable to attend in-person): https://upenn.zoom.us/j/99029916016
URL:https://seasevents.nmsdev7.com/event/asset-seminar-na-lina-li-harvard-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:20240918T130000
DTEND;TZID=America/New_York:20240918T150000
DTSTAMP:20260403T154316
CREATED:20240829T223843Z
LAST-MODIFIED:20240829T223843Z
UID:10008079-1726664400-1726671600@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Quantitative Informatics Approaches to Characterize and Predict Childhood Genetic Epilepsies" (Peter Galer)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania along with Drs. Brian Litt and Ingo Helbig proudly announce the Doctoral Dissertation Defense of Peter Galer.\n\nTitle: Quantitative Informatics Approaches to Characterize and Predict Childhood Genetic Epilepsies\nDate: Wednesday September 18\nTime: 1:00pm\nLocation: Glandt Forum\, Singh Center for Nanotechnology\nAdvisors: Dr. Brian Litt & Dr. Ingo Helbig\nZoom link:  https://upenn.zoom.us/j/97035487377\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-quantitative-informatics-approaches-to-characterize-and-predict-childhood-genetic-epilepsies-peter-galer/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 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:20240918T150000
DTEND;TZID=America/New_York:20240918T160000
DTSTAMP:20260403T154316
CREATED:20240903T173842Z
LAST-MODIFIED:20240903T173842Z
UID:10008082-1726671600-1726675200@seasevents.nmsdev7.com
SUMMARY:Fall 2024 GRASP SFI: Dian Wang\, Northeastern University\, “Equivariant Learning for Robotic Manipulation”
DESCRIPTION:This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. \nABSTRACT\nDespite recent advances in machine learning for robotics\, current approaches often lack sample efficiency\, posing a significant challenge due to the enormous time consumption to collect real-robot data. In this talk\, I will present our innovative methods that tackle this challenge by leveraging the inherent symmetries in the physical environment. Specifically\, I will outline a comprehensive framework of equivariant policy learning and its application across various problem settings\, including reinforcement learning\, behavior cloning\, and grasping. Our methods not only significantly outperform state-of-the-art baselines but also achieve these results with far less data\, both in simulation and in real-world scenarios. Furthermore\, our approach demonstrates robustness in the presence of symmetry distortions\, such as variations in camera angles.
URL:https://seasevents.nmsdev7.com/event/fall-2024-grasp-sfi-dian-wang/
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:20240918T153000
DTEND;TZID=America/New_York:20240918T163000
DTSTAMP:20260403T154316
CREATED:20240816T201722Z
LAST-MODIFIED:20240816T201722Z
UID:10008049-1726673400-1726677000@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Autonomous Soft and Colloidal Matter Fueled by Chemical Reactions" (Taylor Woehl\, University of Maryland)
DESCRIPTION:Abstract: \nBiological systems utilize networks of biochemical reactions to drive autonomous and dynamic processes. Examples include the dynamic polymerization of microtubules and the dynamic min protein system in E. Coli. In contrast\, synthetic soft and colloidal matter generally requires active stimulation to undergo reconfiguration\, such as application of external fields or manual changes in solution chemistry. These materials exhibit singular responses to stimulation\, such as shape change or self-assembly\, but lack temporal control. In recent years\, synthetic chemical reaction cycles have been discovered that enabled active soft materials that exhibit transient responses to a single chemical stimulus. This seminar will describe recent work in Professor Woehl’s lab that utilize chemical reactions to drive transient and autonomous responses in colloids and hydrogels. In the first of three vignettes\, I will discuss the colloidal interactions occurring during chemically fueled assembly of micron sized colloids. Here\, aqueous colloids are exposed to a carbodiimide chemical fuel that temporarily renders their surface hydrophobic. We systematically identify ranges of fuel concentration that lead to no assembly\, transient assembly\, and irreversible assembly of colloids. Experimental measurements of colloid surface charge and hydrophobicity inform a colloidal interaction model that corroborates the experimental observations. This work identifies electrostatic and hydrophobic forces as critical for controlling transient assembly and establishes a colloidal interaction model for rationally choosing fuel concentrations for colloids of varying size. In the second vignette\, I will discuss the use redox reaction cycles to generate transient protein hydrogels. Here\, a strong oxidizer and weak reducing agent are concurrently added to denatured serum albumin\, which causes formation of a transient disulfide crosslinked hydrogel. We found that increasing the denaturant concentration decreased the lifetime of the hydrogel. Biophysical measurements revealed this to be due to changes in the unfolding state of the protein\, which mediated the concentration of free cysteines available to react with the oxidizer. This work uncovered a novel approach to tune the lifetime of transient protein hydrogels and established a connection between molecular protein structure and macroscopic hydrogel properties. In the final vignette\, I will present recent work on chemically fueled shape changes in porous hydrogels. Prior work has demonstrated slow responses of polymer hydrogels to chemical fuels\, typically on the order of ~10 hours. Here we utilize a combination of co-polymer hydrogels\, porosity\, and pH clock reactions to reduce the reconfiguration time to ~10 minutes. This work demonstrates the most rapid autonomous shape change in chemically fueled hydrogels to date.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-autonomous-soft-and-colloidal-matter-fueled-by-chemical-reactions-taylor-woehl-university-of-maryland/
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:20240919T100000
DTEND;TZID=America/New_York:20240919T110000
DTSTAMP:20260403T154316
CREATED:20240905T144305Z
LAST-MODIFIED:20240905T144305Z
UID:10008089-1726740000-1726743600@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Contacts with Dynamically Tunable Adhesion and Friction via Active Materials with Thermally Modulated Stiffness"
DESCRIPTION:Contact interactions\, including adhesion and friction\, are critical to the design of many engineered systems. Currently\, most systems rely on materials with static mechanical properties\, requiring careful selection of materials to realize effective systems for specialized tasks. However\, with advances in smart materials\, system design is no longer limited to materials with static properties. There is a significant potential to exploit active materials for dynamic control of mechanical behaviors\, including adhesion and friction\, to enable the design of systems with improved performance and new functionalities. Example applications of such systems include the gripping and manipulation of objects in robotics and manufacturing\, the temporary attachment of wearable devices\, and the creation of tactile interfaces for virtual reality. In this work\, active control of adhesion and friction is realized using materials with tunable stiffness. In particular\, thermally responsive polymers\, which exhibit substantial changes in stiffness\, provide significant potential for adhesion and friction control. We demonstrate the use of a conductive thermoplastic and a shape memory polymer\, both with thermally modulated stiffness\, to dynamically tune adhesion and friction. Through a combination of experimentation and finite element analysis\, we present a composite microstructured adhesive with high strength and adhesion switchability\, while highlighting the role of scale in achieving fast response times. Through further experimentation\, we investigate the ability to tune friction\, using stiffness modulation to enable a transition from Coulomb friction to adhesion-dominated friction. This ability to dynamically control adhesion and friction offers new opportunities for the design of engineered systems.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-contacts-with-dynamically-tunable-adhesion-and-friction-via-active-materials-with-thermally-modulated-stiffness/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
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:20240919T103000
DTEND;TZID=America/New_York:20240919T120000
DTSTAMP:20260403T154316
CREATED:20230908T153334Z
LAST-MODIFIED:20230908T153334Z
UID:10007677-1726741800-1726747200@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Materials\, Mechanics\, and Performance of Flexible Polymeric Actuators in Robotics" (Sameh Tawfick - University of Illinois\, Urbana-Champaign)
DESCRIPTION:My group is developing a roadmap for soft actuating materials to replace bulky electric motors in miniature robots requiring large mechanical work output. \nFirst\, I will describe the materials microstructure and mechanics of polymeric coiled muscles made by twisting nylon fishing lines\, and how these actuators use internal strain energy to achieve a “record breaking” performance. Then I will describe intriguing hierarchical super-\, and hyper-coiled artificial muscles which\, inspired by natural muscles\, exploit the interplay between nonlinear mechanics and material microstructure. \nNext\, I will describe their use to actuate the dynamic snapping of insect-scale jumping robots. The combination of strong but slow muscles with a fast-snapping beam gives rise to dynamic buckling cascade phenomena leading to effective robotic jumping mechanisms. These examples shed light on the future of robotics propelled by new bioinspired materials\, nonlinear mechanics\, and unusual manufacturing processes.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-materials-mechanics-and-performance-of-flexible-polymeric-actuators-in-robotics-sameh-tawfick-university-of-illinois-urbana-champaign/
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:20240919T153000
DTEND;TZID=America/New_York:20240919T163000
DTSTAMP:20260403T154316
CREATED:20240905T123157Z
LAST-MODIFIED:20240905T123157Z
UID:10008088-1726759800-1726763400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Learning Controllers for multi-robot Teams"
DESCRIPTION:We have recently demonstrated the possibility of learning controllers that are zero-shot transferable to groups of real quadrotors via large-scale\, multi-agent\, end-to-end reinforcement learning. We train policies parameterized by neural networks that can control individual drones in a group in a fully decentralized manner. Our policies\, trained in simulated environments with realistic quadrotor physics\, demonstrate advanced flocking behaviors\, perform aggressive maneuvers in tight formations while avoiding collisions with each other\, break and re-establish formations to avoid collisions with moving obstacles\, and efficiently coordinate in pursuit-evasion tasks. The model learned in simulation transfers to highly resource-constrained physical quadrotors performing station-keeping and goal-swapping behaviors. Motivated by these results and the observation that neural control of memory-constrained\, agile robots requires small yet highly performant models\, the talk will conclude with some thoughts on coaxing learned models onto devices with modest computational capabilities.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-learning-controllers-for-multi-robot-teams/
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:20240920T090000
DTEND;TZID=America/New_York:20240920T110000
DTSTAMP:20260403T154316
CREATED:20240904T192801Z
LAST-MODIFIED:20240904T192801Z
UID:10008085-1726822800-1726830000@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Extracting Insights From Electronic Health Records Using Optimized Large Language Models" (Kevin Xie)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Brian Litt are pleased to announce the Doctoral Dissertation Defense of Kevin Xie.\n\nTitle: Extracting Insights From Electronic Health Records Using Optimized Large Language Models\nDate: September 20th\, 2024\nTime: 9:00 AM\nLocation: Glandt Forum\, Singh Center for Nanotechnology\nAdvisor: Dr. Brian Litt\nZoom link: https://upenn.zoom.us/j/91430247073?pwd=nsDh7ebUjVZNHbdVldc9OfxmavzGri.1\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-extracting-insights-from-electronic-health-records-using-optimized-large-language-models-kevin-xie/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 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:20240920T103000
DTEND;TZID=America/New_York:20240920T114500
DTSTAMP:20260403T154316
CREATED:20240913T181149Z
LAST-MODIFIED:20240913T181149Z
UID:10008096-1726828200-1726832700@seasevents.nmsdev7.com
SUMMARY:GRASP Industry Talk: Amazon Robotics - Scanless Technologies\, “Amazon Robotics Tech Talk”
DESCRIPTION:This will be an in-person event only with in-person attendance in Wu and Chen. This seminar will not be recorded or available on Zoom. \nAmazon Robotics Tech Talk & Networking Event \n  \nAmazon Robotics’ Scanless Technologies Team is excited to invite you to join us for a Tech Talk presentation followed by a Networking Event on Friday\, 9/20 starting at 10:30am in Wu & Chen Auditorium\, 101 Levine Hall. \nJoin us for the Tech Talk from 10:30-11:45am to get the unique opportunity to learn about how our applied science research work in computer vision addresses real-world challenges within Amazon’s fulfillment centers in the areas of action detection/recognition and item identification. \nConnect in person and engage in meaningful discussions with Amazon Robotics applied scientists\, software managers\, and campus recruiters at our Networking Event in Levine 512 immediately following the Tech Talk. The Networking Event will run from 12:00pm – 1:00pm. \nMeet our Amazon Robotics Scanless Technologies speakers for this event: \n\nNick Hu\, Applied Scientist II (GRASP alum)\nMansi Agarwal\, Applied Scientist\nFrank Preiswerk\, Principal Applied Scientist\nCara Garber\, Software Development Manager\n\nWe look forward to meeting you all!
URL:https://seasevents.nmsdev7.com/event/grasp-industry-talk-amazon-robotics-scanless-technologies-amazon-robotics-tech-talk/
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:20240920T130000
DTEND;TZID=America/New_York:20240920T180000
DTSTAMP:20260403T154316
CREATED:20240821T150341Z
LAST-MODIFIED:20240821T150341Z
UID:10008070-1726837200-1726855200@seasevents.nmsdev7.com
SUMMARY:ASSET & Warren Center Research Mixer
DESCRIPTION:The ASSET and Warren Center will be hosting a research mixer to welcome new PhD students and expose new and current students to the wide range of research in Penn Engineering in AI/ML. The program will consist of (short) faculty talks\, poster presentations by students/postdocs\, and a reception to end the night!
URL:https://seasevents.nmsdev7.com/event/warren-asset-center-research-mixer/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
END:VCALENDAR