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X-WR-CALDESC:Events for Northeastern University College of Engineering
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DTSTART;TZID=America/New_York:20211103T090000
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CREATED:20211019T152121Z
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SUMMARY:Mechanical and Industrial Engineering Webinar
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing the Mechanical Engineering departmental program offerings and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/mechanical-and-industrial-engineering-webinar-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211103T100000
DTEND;TZID=America/New_York:20211103T110000
DTSTAMP:20260512T141927
CREATED:20211004T134453Z
LAST-MODIFIED:20211004T134453Z
UID:27542-1635933600-1635937200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Jared Miller
DESCRIPTION:PhD Proposal Review: Nonlinear and Time-Delay Systems Analysis using Occupation Measures \nJared Miller \nLocation: Zoom Link \nAbstract: Techniques to analyze nonlinear systems include peak and reachable set estimation. The reachable set of a system is the set of states accessible by trajectories of a dynamical system at specified times given initial conditions. The peak estimation problem finds extreme values of a state function along trajectories. Examples of peak estimation include finding the maximum height of a wave\, voltage on a power line\, speed of a vehicle\, and infection rate of an epidemic. These problems may be posed as infinite dimensional linear programs (LP) in occupation measures\, where occupation measures are Borel measures that contain all information about trajectories. Under mild assumptions\, a sequence of Linear Matrix Inequalities (LMI) in increasing degree will converge from outside to the LP optimum\, which is in turn equal to the true optimum of the program in trajectories.\nThe first part of this thesis expands upon the occupation measure formulation for peak estimation. The safety of trajectories with respect to an unsafe set may be quantified by measuring the constraint violation (safety margins)\, which is a maximum peak estimation problem. The distance of closest approach between trajectories and an unsafe set may be bounded through a modification of the peak estimation problem. Peak estimation may be applied to dynamics possessing a broad class of uncertainties\, which includes the data-driven setting of black-box polynomial dynamics. A modular MATLAB toolbox is developed to solve and interpret these variations on peak estimation problems.\nThe second part of this thesis introduces an occupation measure framework for analysis and control of time-delay systems. The evolution of time delay systems depends on present and past values of the state. Some instances of time delay systems with their associated delays include epidemic models (incubation period)\, population dynamics (gestation time)\, and fluid modeling (transport time of fluid moving in a pipe). An occupation measure framework is developed to define weak solutions over a finite time interval of nonlinear time-delay systems with a finite number of bounded discrete delays. Applications of this time-delay weak solution include optimal control (including dead-time)\, peak estimation\, and reachable set estimation of time delay systems.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-jared-miller/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211103T103000
DTEND;TZID=America/New_York:20211103T110000
DTSTAMP:20260512T141927
CREATED:20211019T140502Z
LAST-MODIFIED:20211021T200104Z
UID:28136-1635935400-1635937200@coe.northeastern.edu
SUMMARY:Electrical & Computer Engineering
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing the Electrical and Computer Engineering departmental program offerings and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/electrical-computer-engineering/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211103T120000
DTEND;TZID=America/New_York:20211103T130000
DTSTAMP:20260512T141927
CREATED:20211018T134457Z
LAST-MODIFIED:20211018T134457Z
UID:27874-1635940800-1635944400@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents: Keyue Shen
DESCRIPTION:Keyue Shen\, Ph.D. \nAssistant Professor of Biomedical Engineering\, University of Southern California\, Los Angeles CA \n“Metabolic and Microenvironmental Regulation of Cancer and Stem Cells” \nWednesday\, November 3rd\, 2021 \n12:00 pm – 1:00 pm EST \nABSTRACT: \nIn vivo\, tissue structure and local cell-cell/cell-matrix interactions define the microenvironment and regulate a complex landscape of cellular phenotypes and metabolism in tumors and stem cell niches. Such dynamics and heterogeneity often contribute to treatment failures in cancer and regenerative medicine. Identifying the precise microenvironmental cues that trigger the phenotypic or metabolic changes will thus enable the discovery of new targets for cancer or stem cell therapies. However\, it is challenging to pinpoint such cues and track cellular dynamics/heterogeneity in a complex microenvironment in vivo. Our laboratory is focused on creating biologically inspired in vitro platforms to recapitulate the scale of cell signaling in tissue microenvironments from subcellular to tissue levels\, and developing single-cell tools to enable dynamic\, long-term tracking of metabolic heterogeneity and changes in rare cells. We have built-in vitro hypoxic tumor models to recapitulate the metabolic landscapes in solid tumors\, to determine/overcome the key factors that impedes the therapeutic efficacy of chimeric antigen receptor (CAR) T cells. We have also developed micropatterned tumor models to understand the mechano-regulatory mechanisms and mito-nuclear communications in cancer metastasis. Using fluorescence lifetime imaging microscopy\, we created a set of non-invasive metabolic optical biomarkers to identify hematopoietic stem cells (HSCs) from their progenitor counterparts and track their metabolic dynamics during cell division at the single-cell level. With a lipid bilayer model\, we have further discovered a unique role of membrane-bound factors on niche stromal cells in determining the morphology and adhesive function of HSCs in the bone marrow. Our long-term goal is to develop novel strategies for cancer immunotherapy and bone marrow transplantation. \nBIOGRAPHY: \nDr. Keyue Shen received his Bachelor of Engineering in Mechanical Engineering and Master of Science in Biophysics from Tsinghua University of China. He earned his Ph.D. degree in Biomedical Engineering at Columbia University in 2010. He then pursued postdoctoral training in the Center for Engineering in Medicine at Harvard Medical School and Massachusetts General Hospital\, where he won an MGH Fund for Medical Discovery Award. Keyue joined the Department of Biomedical Engineering at the University of Southern California in 2015. He received a Broad Innovation Award from the Eli and Edythe Broad Foundation (2016)\, a Marni Levine Memorial Research Career Development Award from STOP CANCER (2017)\, a Trailblazer Award from the NIH NIBIB (2017)\, and a Rising Star Award from the Biomedical Engineering Society – Cellular and Molecular Bioengineering SIG (2020). His research has been supported by NIH NIBIB and NCI. His group is focused on creating in vitro tissue models of solid tumors and bone marrow niches. His goals are to understand how tumor microenvironments regulate mitochondrial/metabolic functions of cancer and immune cells in cancer progression and therapy\, and how to improve hematopoietic stem cell transplantation and biomanufacturing. \nIf interested in attending\, please email Elizabeth Chesley at e.chesley@northeastern.edu for the Zoom link.
URL:https://coe.northeastern.edu/event/bioe-seminar-series-presents-keyue-shen/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
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DTSTART;TZID=America/New_York:20211103T120000
DTEND;TZID=America/New_York:20211103T130000
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CREATED:20211101T134011Z
LAST-MODIFIED:20211101T134011Z
UID:29247-1635940800-1635944400@coe.northeastern.edu
SUMMARY:ChE Seminar Series: Detection\, Prediction\, and Visualization of Monolayer Phase Separation on Metallic Nanoparticles
DESCRIPTION:ChE Seminar Series Presents: \nDr. David L. Green \nMaterials Science\, Chemical Engineering\, and Mechanical Engineering Departments \nUniversity of Virginia \nAbstract: The goal is to gain fundamental insights into the factors that dictate the synthesis of monolayer-protected nanoparticles and translate them into rational design strategies for novel functional soft materials. He is interested in monolayer self-assembly\, polymer grafting\, and nanoparticle dispersion. He studies how to exert control over the interface of nanoparticles\, which dictates their degree of compatibility with and assembly in soft materials\, provides reactive sites for attachment of molecules\, such as drug payloads\, and tunes detectable properties\, such as the surface plasmon to a wavelength of interest. David Green is particularly interested in the development of nanoparticles coated with monolayers from mixtures of organic molecules that may also self-assemble into advantageous patterns. As pattern formation in self-assembled monolayers is inextricably linked to their intermolecular interactions\, a key research challenge is the integration of experimental and theoretical techniques to enable de novo design of patterned nanoparticles. \nBio: David Green is an Associate Professor in the Departments of Materials Science and Chemical Engineering at the University of Virginia. He and his team collaborate with chemists\, physicists\, pharmacists\, and oncologists to develop design principles for monolayer-protected nanoparticles.
URL:https://coe.northeastern.edu/event/che-seminar-series-detection-prediction-and-visualization-of-monolayer-phase-separation-on-metallic-nanoparticles/
LOCATION:108 SN
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