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DTSTART;TZID=America/New_York:20240311T120000
DTEND;TZID=America/New_York:20240311T140000
DTSTAMP:20260403T204055
CREATED:20240220T145752Z
LAST-MODIFIED:20240220T145752Z
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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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240311T143000
DTEND;TZID=America/New_York:20240311T153000
DTSTAMP:20260403T204055
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:20240312T100000
DTEND;TZID=America/New_York:20240312T113000
DTSTAMP:20260403T204055
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:20240312T110000
DTEND;TZID=America/New_York:20240312T120000
DTSTAMP:20260403T204055
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:20240312T153000
DTEND;TZID=America/New_York:20240312T163000
DTSTAMP:20260403T204055
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:20240313T120000
DTEND;TZID=America/New_York:20240313T133000
DTSTAMP:20260403T204055
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:20240313T150000
DTEND;TZID=America/New_York:20240313T160000
DTSTAMP:20260403T204055
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:20240313T150000
DTEND;TZID=America/New_York:20240313T170000
DTSTAMP:20260403T204055
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:20240313T153000
DTEND;TZID=America/New_York:20240313T163000
DTSTAMP:20260403T204055
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:20240314T090000
DTEND;TZID=America/New_York:20240314T100000
DTSTAMP:20260403T204055
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:20240314T153000
DTEND;TZID=America/New_York:20240314T163000
DTSTAMP:20260403T204055
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:20240315T100000
DTEND;TZID=America/New_York:20240315T110000
DTSTAMP:20260403T204055
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
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