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DTSTART;TZID=America/Detroit:20180907T150000
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DTSTAMP:20230905T171421Z
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UID:10000157-1536332400-1536336000@micde.umich.edu
SUMMARY:AIM Seminar: Alex Gorodetsky\, Aerospace Engineering\, University of Michigan
DESCRIPTION:Low-rank tensor approaches for adaptive function approximation: algorithms and examples\nIn this talk\, we present an adaptive method for approximating high-dimensional low-rank functions. Taking advantage of low-rank structure in approximation problems has been shown to prove advantageous for scaling numerical algorithms and computation to higher dimensions by mitigating the curse-of-dimensionality. The method we describe is an extension of the tensor-train cross approximation algorithm to the continuous case of multivariate functions that enables both global and local adaptivity. Our approach relies on a new adaptive algorithm for computing the CUR/skeleton decomposition of bivariate functions. We then extend this technique to the multidimensional case of the function-train decomposition. We demonstrate the benefits of our approach compared with the standard methodology that computes low-rank approximations by decomposing coefficients of tensor-product basis functions. We finish by demonstrating a wide range of applications that include machine learning\, uncertainty quantification\, stochastic optimal control\, and Bayesian filtering.
URL:https://micde.umich.edu/event/aim-seminar-alex-gorodetsky-aerospace-engineering-university-of-michigan/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180913T090000
DTEND;TZID=America/Detroit:20180913T140000
DTSTAMP:20230905T171420Z
CREATED:20230905T171420Z
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UID:10000149-1536829200-1536847200@micde.umich.edu
SUMMARY:Data-Intensive Social Science Challenge Symposium
DESCRIPTION:Data-intensive social science is one of the research focus areas that MIDAS supports with its Challenge Awards. Our long-term goal is to support this research area more broadly\, using the Challenge Award projects as the starting point to build a critical mass. This symposium offers a platform for all participants to explore collaboration opportunities and aims to attract more researchers to our hub. The two Challenge Award teams will give in-depth presentations\, and all participants are encouraged to submit posters on research related to data-intensive social science. \nRegistration | Poster submission form (Due Monday\, Sept. 10) \nPreliminary Schedule: \n9 am: Introduction \n9:05 am to 11:35 pm: Challenge Award presentations \n\nComputational Approaches for the Construction of Macroeconomic Data\, Matthew Shapiro and team\nA Social Science Collaboration for Research on Communication and Learning Based upon Big Data\, Michael Traugott and the UM-Georgetown team\n\n11:35 am to 1 pm: lunch\, poster session and networking (Please fill out this form to submit a poster; deadline is Monday\, September 10) \n1 to 2 pm: Panel discussion: the future of data-intensive social science research at U-M \n\nMartha Bailey\, Professor\, Economics\, University of Michigan\nSara Heller\, Assistant Professor\, Economics\, University of Michigan\nMatt Shapiro\, Professor\, Economics\, University of Michigan\nLisa Singh\, Professor\, Computer Science\, Georgetown University\nMike Traugott\, Professor Emeritus\, Communication Studies\, Political Science\, University of Michigan
URL:https://micde.umich.edu/event/data-intensive-social-science-challenge-symposium/
LOCATION:Weiser Hall\, 10th Floor\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Conference
GEO:42.2765179;-83.7350438
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180913T160000
DTEND;TZID=America/Detroit:20180913T170000
DTSTAMP:20230905T171420Z
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UID:10000159-1536854400-1536858000@micde.umich.edu
SUMMARY:MICDE/EEB Seminar: Murat Eren\, Department of Medicine\, University of Chicago
DESCRIPTION:Bio:  Dr. Murat Eren is an Assistant Professor in the department of Medicine and affiliated with the Marine Biological Laboratory at the University of Chicago. He received his B.S. from Canakkale Onsekiz Mart University in Turkey in 2002\, and his PhD from the University of New Orleans in 2001\, both in computer science. His research focuses on the diversity and functioning of microbial communities in environments ranging from the human gastrointestinal tract and oral cavity\, to sewages\, oceans\, and soils. He designs algorithms and experiments to better understand microbes and their ecology. He pursues interesting ecological and evolutionary questions\, with some particularly interesting insights from molecular data into what constitutes a population in the microbial world. \nInsights into ecology and evolution of microbial populations through single-amino acid variants\nNeither the mechanisms by which genomic heterogeneity emerges within naturally occurring microbial populations\, nor how it drives the partitioning of ecological niches are well understood. Yet the increasing number of environmental metagenomes with astonishing depth of sequencing offer new opportunities to investigate evolutionary processes acting upon them\, and link genomic variation to predicted tertiary structures of genes to gain biochemical insights. \nMICDE is co-sponsoring this seminar with the department of Ecology and Evolutionary Biology. If you would like to meet Dr. Murat during his visit please send an email to micde-events@umich.edu
URL:https://micde.umich.edu/event/micde-eeb-seminar-murat-eren-department-of-medicine-university-of-chicago/
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/MuratEEB2018Figure.png
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180914T150000
DTEND;TZID=America/Detroit:20180914T160000
DTSTAMP:20230905T171420Z
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000158-1536937200-1536940800@micde.umich.edu
SUMMARY:AIM Seminar: Robert Krasny\, Mathematics\, University of Michigan
DESCRIPTION:Two topics in computational fluid dynamics\n1. The Lamb dipole is a steady propagating solution of the inviscid fluid equations with opposite-signed vorticity in a circular disk. We compare finite-difference solutions of the Navier-Stokes equation (NSE) and the linear diffusion equation (LDE) using the Lamb dipole as the initial condition. We find some expected and some unexpected results; among the latter is that the maximum core vorticity decreases at the same rate for the NSE and LDE\, but at higher Reynolds numbers\, convection enhances the viscous cancellation of opposite-signed vorticity.\n(This is joint work with Ling Xu.) \n2. We discuss a new implementation of the vortex method for the incompressible Euler equations. The vorticity is carried by Lagrangian particles and the velocity is recovered by a regularized Biot-Savart integral. The new work employs remeshing and adaptive refinement to resolve small-scale features in the vorticity as well as a treecode for efficiency. The method is demonstrated for vortex dynamics on a rotating sphere (with Peter Bosler) and axisymmetrization of an elliptical vortex (with Ling Xu).
URL:https://micde.umich.edu/event/aim-seminar-robert-krasny-mathematics-university-of-michigan/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=UTC:20180924T163000
DTEND;TZID=UTC:20180924T173000
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SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - North Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-f2018/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Info Session
GEO:42.2914823;-83.7138452
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180925T163000
DTEND;TZID=UTC:20180925T173000
DTSTAMP:20230905T171420Z
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000161-1537893000-1537896600@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - Central Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-central-campus-f2018/
LOCATION:Weiser Hall\, 10th Floor\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
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