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DTSTART;TZID=America/New_York:20240219T140000
DTEND;TZID=America/New_York:20240219T160000
DTSTAMP:20260403T192812
CREATED:20240206T155231Z
LAST-MODIFIED:20240206T155231Z
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SUMMARY:CBE Doctoral Dissertation Defense: "Controlled Deposition of Cargo-Carrying Colloids from Dispersed Liquid to Solid Surfaces" (Paradorn Rummaneethorn)
DESCRIPTION:Abstract: \nGreat advances have been made in encapsulation of (biological) analytes at extremely high throughput via techniques such as microfluidics and/or conjugation. In parallel\, analytical techniques such as mass spectrometry have advanced to analyze biochemical components of complex mixtures with high resolutions. Both capabilities are essential for enabling biology at subcellular scales; rather than engineering a new integrated system possessing both capabilities\, the path of lower resistance may be to bridge such high-throughput encapsulation to high-resolution analytical platforms. However\, existing encapsulation techniques yield colloids in dispersions\, whereas analytical techniques require sample preparation on surfaces. \nIn this work\, we addressed two types of colloids dispersed in liquid medium – liquid droplets and solid particles. For droplets\, we employed a charge injection technique to study the reversible wetting state modulation of water droplets on hydrophobic polydimethylsiloxane (PDMS) surfaces. The system exhibits a high range of wetting modulation (from nonwetting to 20°)\, and we were able to demonstrate two-way cargo transfer between droplet and surface. For dispersed particles\, we employed two techniques to array particles in a patterned microwell array: capillary assembly and dielectrophoretic assembly. For capillary assembly\, we studied the effects of coating speed\, coating passes\, particle concentration\, surface temperature\, and presence of surfactants to optimize yield (% of occupied wells) and selectivity (% of particles inside microwells) of particle arraying. As for dielectrophoretic (DEP) assembly\, we studied the number of particles deposited as a function of peak-to-peak voltage (DEP force) and alternating current frequency (DEP polarity) to the arraying of carboxylate-conjugated polystyrene particles. \nThe physical nature of these technologies enables robustness against combinations of colloid-surface chemical characteristics\, with a tunable parameter space that empowers broad use cases involving different colloid-surface combinations. Beyond the colloid deposition use case described here\, the technologies studied here can also be applied to separations\, heterogeneous reaction engineering\, and fundamental colloid-surface studies. When colloids and surfaces come together\, possibilities are imagination-limited.
URL:https://seasevents.nmsdev7.com/event/cbe-doctoral-dissertation-defense-controlled-deposition-of-cargo-carrying-colloids-from-dispersed-liquid-to-solid-surfaces-paradorn-rummaneethorn/
LOCATION:Towne 337
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240220T100000
DTEND;TZID=America/New_York:20240220T113000
DTSTAMP:20260403T192812
CREATED:20240208T165355Z
LAST-MODIFIED:20240208T165355Z
UID:10007852-1708423200-1708428600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Precision Engineering in Health and Medicine via Acoustics"
DESCRIPTION:Precision engineering stands at the forefront of catalyzing transformative advancements in health and medicine. Among various precise techniques utilizing phototactic\, electric\, and magnetic mechanisms\, acoustic devices have captured heightened attention for their capability to facilitate contactless\, label-free\, and biocompatible manipulation of cells\, extracellular vesicles\, and organisms. Demonstrating proficiency in manipulating micro/nano-objects across a diverse spectrum\, acoustic platforms have evolved to facilitate cell patterning\, separation\, and sorting for single-cell analysis\, isolate extracellular vesicles for diagnosing cancer and neurodegenerative diseases\, and assemble single cells for tissue engineering. As acoustic research and technologies continue to advance\, acoustic devices emerge as a linchpin\, seamlessly bridging the realms of engineering and medicine. This integration propels the frontier of personalized medicine and advanced manufacturing\, showcasing the transformative potential of precision engineering in shaping the future of healthcare. \nIn this presentation\, I will explore the dynamic application of acoustics to advance precision engineering in health and medicine\, spanning a range from nanometer to millimeter scales. I will showcase a series of noteworthy examples\, including (1) the assembly and dynamic control of colloids\, droplets\, and living cells; (2) the precise separation of extracellular vesicles for disease diagnostics; and (3) the engineering of 3D tissues for therapeutic purposes. The distinctive attributes of acoustic platforms\, such as precision\, biocompatibility\, and versatility\, endow them with immense potential to serve as pioneering technologies\, translating innovations in mechanical engineering into advancements in materials\, biology\, and medicine. Additionally\, I will touch upon my past and ongoing endeavors\, covering topics such as sensors and actuators\, nanofabrication\, and advanced packaging\, showcasing broad applications in the fields of semiconductors\, micro/nanorobotics\, and biodevices.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-precision-engineering-in-health-and-medicine-via-acoustics/
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:20240220T153000
DTEND;TZID=America/New_York:20240220T163000
DTSTAMP:20260403T192812
CREATED:20240209T133752Z
LAST-MODIFIED:20240209T133752Z
UID:10007853-1708443000-1708446600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Towards Flexible\, Scalable\, and Knowledgeable Generative Intelligence"
DESCRIPTION:From language modeling to 3D vision\, generative AI has revolutionized nearly every aspect of machine learning. In this talk\, I will examine the limitations of the foundation behind many generative AI techniques–autoregressive models. Despite their impressive successes\, these token-by-token models face various challenges\, including 1). non-flexible computation during generation\, 2). lack of rich inner structures for scalable modeling\, and 3). limited understanding of the real world. \nTo address these three issues\, I propose to strategically predict “latents” for the design of new generative models\, where latents refer to the model’s intermediate representations during the generation process. First\, I will demonstrate how integrating latents allows flexible architecture designs to enhance both efficiency and adaptability \,such as in the first non-autoregressive model for sequence generation. Next\, I will show how to use latents to incorporate useful data structures for improved model scalability\, especially in high-resolution images and videos. Moreover\, I will demonstrate how to use latents to infuse world knowledge such as 3D for tasks like consistent view synthesis. Throughout the talk\, I will cover various modalities\, including text\, images\, and 3D. Finally\, I will conclude with a discussion about the prevailing challenges and envision future paths that could lead to more flexible\, scalable \,a nd knowledgeable next-generation generative models.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-towards-flexible-scalable-and-knowledgeable-generative-intelligence/
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:20240221T120000
DTEND;TZID=America/New_York:20240221T133000
DTSTAMP:20260403T192812
CREATED:20240125T161410Z
LAST-MODIFIED:20240125T161410Z
UID:10007827-1708516800-1708522200@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: “Mathematical Foundations for Physical Agents” (Max Simchowitz\, Massachusetts Institute of Technology\, CSAIL)
DESCRIPTION:ABSTRACT: \nFrom robotics to autonomous vehicles\, machine learning agents deployed in the physical world (“physical agents”) promise to revolutionize endeavors ranging from manufacturing to agriculture to domestic labor. In this talk\, we will develop mathematical foundations\, from the ground up\, for how to carry out this vision. We will begin our investigation by examining linear dynamical systems\, a simple and fundamental model of the interaction between a physical agent and its environment. We prove mathematically that simple exploration attains optimal performance for some of both the simplest and the most complex learning problems in this class. The above finding\, while powerful\, strongly motivates moving past linear dynamics as a mathematical testbed for understanding learning with physical agents. \nHence\, we turn to providing mathematical guarantees for a setting of real-world importance that does not fit the linear mold: behavior cloning. Behavior cloning — teaching a robot to imitate from example demonstrations — lies at the heart of many of today’s most promising robot learning endeavors due to its intuitive data collection and simplicity. Though it can work incredibly well\, we still do not have a clear understanding of what circumstances ensure its success. Bringing together the flexibility of generative models with key intuitions arising from the study of linear control\,  we introduce a framework for behavior cloning that enables an agent to imitate nearly arbitrary behavior with provable guarantees\, even when the dynamics governing the agent and environments interaction are nonlinear. We conclude by outlining ongoing work and future steps towards building out the mathematical and conceptual tooling for understanding the next steps towards general\, capable and flexible physical agents. \n  \nZOOM LINK (if unable to attend in-person): https://upenn.zoom.us/j/99732583896 \n 
URL:https://seasevents.nmsdev7.com/event/asset-seminar-mathematical-foundations-for-physical-agents-max-simchowitz-massachusetts-institute-of-technology-csail/
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:20240221T150000
DTEND;TZID=America/New_York:20240221T163000
DTSTAMP:20260403T192812
CREATED:20240214T200630Z
LAST-MODIFIED:20240214T200630Z
UID:10007860-1708527600-1708533000@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP SFI: Erik Bekkers\, University of Amsterdam\, "Fast\, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space"
DESCRIPTION:This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. This week’s speaker will be virtual. There will be an extended Q&A/discussion after the seminar from 4:00 PM to 4:30 PM.  \nABSTRACT\nBased on the theory of homogeneous spaces we derive \textit{geometrically optimal edge attributes} to be used within the flexible message passing framework. We formalize the notion of weight sharing in convolutional networks as the sharing of message functions over point-pairs that should be treated equally. We define equivalence classes of point-pairs that are identical up to a transformation in the group and derive attributes that uniquely identify these classes. Weight sharing is then obtained by conditioning message functions on these attributes. As an application of the theory\, we develop an efficient equivariant group convolutional network for processing 3D point clouds. The theory of homogeneous spaces tells us how to do group convolutions with feature maps over the homogeneous space of positions ℝ3\, position and orientations ℝ3×S2\, and the group SE(3) itself. Among these\, ℝ3×S2 is an optimal choice due to the ability to represent directional information\, which ℝ3 methods cannot\, and it significantly enhances computational efficiency compared to indexing features on the full SE(3) group. We empirically support this claim by reaching state-of-the-art results — in accuracy and speed — on three different benchmarks: interatomic potential energy prediction\, trajectory forecasting in N-body systems\, and generating molecules via equivariant diffusion models.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-sfi-erik-bekkers/
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:20240221T153000
DTEND;TZID=America/New_York:20240221T163000
DTSTAMP:20260403T192812
CREATED:20240116T180710Z
LAST-MODIFIED:20240116T180710Z
UID:10007808-1708529400-1708533000@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Minimally Invasive Neuroelectronics" (Anqi Zhang\, Stanford)
DESCRIPTION:Abstract\nNeuroelectronic interfaces have enabled significant advances in both fundamental neuroscience research and the treatment of neurological disorders. However\, current neuroelectronic devices have a clear trade-off between invasiveness and spatial resolution\, and are unable to achieve seamless integration into the nervous system with cell-type specificity. In this talk\, I will first introduce an ultra-small and flexible endovascular neural probe that can be implanted into sub-100-micron scale blood vessels in the brains of rodents without damaging the brain or vasculature. Second\, I will describe a biochemically functionalized electronic probe that enables cell type- and neuron subtype-specific targeting and recording in the brain. Third\, I will present a bottom-up approach for constructing neural interfaces from the cell surface\, where neurons are genetically programmed to express membrane-localized enzymes that catalyze in situ assembly of functional materials. Finally\, I will discuss future advances toward clinical translation of minimally invasive neuroelectronic interfaces capable of long-term monitoring and treatment of neurological disorders.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-minimally-invasive-neuroelectronics-anqi-zhang-stanford/
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:20240222T110000
DTEND;TZID=America/New_York:20240222T120000
DTSTAMP:20260403T192812
CREATED:20240201T135527Z
LAST-MODIFIED:20240201T135527Z
UID:10007839-1708599600-1708603200@seasevents.nmsdev7.com
SUMMARY:ESE & BE Spring Seminar - "Ultra-high-throughput computational imaging: towards a trillion voxels per second"
DESCRIPTION:Traditional biomedical imaging techniques face throughput bottlenecks that limit our ability to study complex dynamic samples like cells\, organoids\, tissues\, and organisms. In particular\, hardware-only systems have inherent physical limitations preventing the simultaneous improvement of resolution\, field of view\, and frame rate. In this seminar\, I propose that large-scale\, machine learning-accelerated computational imaging will be the key to overcoming these throughput bottlenecks. I demonstrate a variety of examples from my research\, ranging from resolution-enhanced\, speckle-free tissue imaging with optical coherence refraction tomography\, to camera array-based gigapixel microscopy and 4D fluorescence tomography of freely-behaving zebrafish and fruit flies. Critical to the computational scalability is the integration of physics-supervised deep learning into my reconstruction algorithms. This approach is inherently robust to generalization errors and does not require labeled data\, as it uses the differentiable physical model as the only supervision mechanism. Combined with scalable hardware designs\, these high-performance computational imaging systems will continue the trend of my research towards ultra-high imaging throughputs\, even approaching 1 trillion voxels per second\, which will accelerate scientific discovery\, big data generation\, and tool development across a broad range of biomedical applications.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-tbd-3/
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:20240222T153000
DTEND;TZID=America/New_York:20240222T163000
DTSTAMP:20260403T192812
CREATED:20240108T171614Z
LAST-MODIFIED:20240108T171614Z
UID:10007794-1708615800-1708619400@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Endothelial cells and the promise of regeneration on demand" (Brisa Palikuqi\, UCSF)
DESCRIPTION:In this seminar\, I explore the pivotal role of tissue stem cells and their microenvironment\, known as the niche\, in regeneration. With a focus on the endothelial cell niche\, my work introduces an innovative in vitro vascularized perfusable model tailored for human tissue explants and organoids. My findings also highlight the crucial contribution of paracrine factors derived from lymphatic endothelial cells in facilitating intestinal regeneration and repair in vivo. I will also outline future research directions for my independent laboratory\, where I aim to unravel the complexities of endothelial cell interactions and paracrine signaling in tissue regeneration. The overarching goal is to leverage this knowledge for engineering vascularized and physiologically relevant organoids\, advancing our understanding of regenerative medicine and stem cell biology.
URL:https://seasevents.nmsdev7.com/event/be-seminar-brisa-palikuqi-ucsf/
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:20240223T103000
DTEND;TZID=America/New_York:20240223T114500
DTSTAMP:20260403T192812
CREATED:20231212T190328Z
LAST-MODIFIED:20231212T190328Z
UID:10007782-1708684200-1708688700@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP on Robotics: Pietro Valdastri\, University of Leeds\, "Magnetic Surgical Robots: A “Fantastic Voyage” deep inside the human body"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. \nABSTRACT\nMagnetic fields offer the possibility of manipulating objects from a distance and are ideal for medical applications\, as they penetrate human tissue without inflicting any harm on the patient. Magnetic fields can be harnessed to actuate surgical robots\, enhancing the capabilities of surgeons in reaching deep into the human anatomy through complex winding pathways\, thus providing minimally invasive access to organs that are out of reach with current technologies. In this talk\, we will explore various robotic architectures based on magnetic control\, specifically designed for lifesaving clinical applications. These architectures include a magnetic flexible endoscope for painless colonoscopy\, soft magnetic tentacles personalized for reaching peripheral areas of the lung and navigating the pancreatic duct\, and magnetic “fusilli” robots designed for collaborative bimanual tasks in a confined workspace. We will also discuss enabling technologies\, intelligent control\, potential levels of computer assistance\, the path to first-in-human trials\, and highlight the future challenges associated with this ongoing Fantastic Voyage.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-on-robotics-pietro-valdastri-university-of-leeds-magnetic-surgical-robots-a-fantastic-voyage-deep-inside-the-human-body/
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:20240223T140000
DTEND;TZID=America/New_York:20240223T150000
DTSTAMP:20260403T192812
CREATED:20240212T153325Z
LAST-MODIFIED:20240212T153325Z
UID:10007856-1708696800-1708700400@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Genetic testing and adverse selection"
DESCRIPTION:Technology is dramatically driving down the cost of sequencing genetic data and increasing the quality of predictions made with this data. A standard concern is that these predictions could impair the functioning of insurance markets\, either because insurers would abuse genetic information or because of adverse selection. \nWe make three contributions. First\, we develop a methodology to measure how much selection would be created by genetic information in the market for an insurance product. Second\, we extend the methodology to measure the amount of selection with future prediction technology\, by combining information from heritability studies and empirical regularities from genetic epidemiology. Third\, we apply the methodology to critical illness insurance using data from the UK biobank\, including genetic information and National Health Service records for 800\,000 UK citizens. \n The main substantive finding is that selection would make many of these markets untenable unless insurers are allowed to underwrite based on genetic information. However\, there are important differences in how the results vary by the type of illness and market.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-genetic-testing-and-adverse-selection/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
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