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DTSTART;TZID=America/Detroit:20181005T150000
DTEND;TZID=America/Detroit:20181005T160000
DTSTAMP:20260606T150707
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000152-1538751600-1538755200@micde.umich.edu
SUMMARY:MICDE Seminar: Pavel Bochev\, Center for Computing Research\, Sandia National Laboratories
DESCRIPTION:Bio: Pavel Bochev is a Distinguished Member of the Technical Staff at Sandia National Laboratories in Albuquerque where he works in the Center for Computing Research. He joined Sandia in 2000 after six years of teaching and research at the University of Texas at Arlington. \n\nPavel’s research interests include compatible discretizations for partial differential equations\, optimization and control problems\, and the development of new\, property preserving heterogeneous numerical methods for complex applications relevant to the mission of the US Department of Energy and the National Nuclear Security Administration.\n\nPavel’s thesis was awarded the SIAM Student paper prize in 1994. In 2012 he was elected a Fellow of the Society for Industrial and Applied Mathematics. Pavel is a recipient of 2014 US Department of Energy’s E. O. Lawrence Medal in the category of “Computer\, information and knowledge sciences”. This award honors U.S. scientists and engineers\, at mid-career\, for exceptional contributions in research and development supporting the Department of Energy and its mission to advance the national\, economic and energy security of the United States. In 2017 Pavel was awarded the Thomas J.R. Hughes Medal by the U.S. Association for Computational Mechanics for his contributions to the field of numerical partial differential equations.\n\nPavel has authored and co-authored over 100 research papers\, two books and several book chapters\, and has given numerous plenary and invited lectures in the US and abroad. He served two terms as Editor-in-Chief of the SIAM Journal on Numerical Analysis and is currently member of the editorial board of SINUM. \nCompatible Mesh-Free Methods\nParticle and mesh-free methods offer significant computational advantages in settings where quality mesh generation required for many compatible PDE discretizations may be expensive or even intractable. At the same time\, the lack of underlying geometric grid structure makes it more difficult to construct mesh-free methods mirroring the discrete vector calculus properties of mesh-based compatible and mimetic discretization methods. In this talk we survey ongoing efforts at Sandia National Laboratories to develop new classes of locally and globally compatible meshfree methods that attempt to recover some of the key properties of mimetic discretization methods. \nWe will present two examples of recently developed “mimetic”-like meshfree methods. The first one is motivated by classical staggered discretization methods. We use the local connectivity graph of a discretization particle to define locally compatible discrete operators. In particular\, the edge-to-vertex connectivity matrix of the local graph provides a topological gradient\, whereas a generalized moving least-squares (GMLS) reconstruction from the edge midpoints defines a divergence operator. The second method can be viewed as a meshfree analogue of a finite volume type scheme. In this method\, the metric information that would be normally provided by the mesh\, such as cell volumes and face areas\, is reconstructed algebraically\, without a mesh. This reconstruction process effectively creates virtual cells having virtual faces and ensures a local conservation property matching that of mesh-based finite volumes. In contrast to similar recent efforts our approach does not involve a solution of a global optimization problem to find the virtual cell volumes and faces areas. Instead\, we determine the necessary metric information by solving a graph Laplacian problem that can be effectively preconditioned by algebraic multigrid. \nSeveral numerical examples will illustrate the mimetic properties of the new meshfree schemes. The talk will also review some of the ongoing work to build a modern software toolkit for mesh-free and particle discretizations that leverages Sandia’s Trillinos library and performance tools such as Kokkos. \nThis is a joint seminar with the Applied and Interdisciplinary Mathematics program. Dr. Bochev is being hosted by Prof. Robert Krasny (Mathematics). If you would like to meet with him\, please send an email to micde-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-pavel-bochev-center-for-computing-research-sandia-national-laboratories/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181001T160000
DTEND;TZID=America/Detroit:20181001T170000
DTSTAMP:20260606T150707
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000156-1538409600-1538413200@micde.umich.edu
SUMMARY:MICDE Seminar: Sanjay Padhi\, AWS Research and Technical Computing
DESCRIPTION:Bio: Dr. Sanjay Padhi\, leads the AWS Research Initiatives including AWS’s federal initiatives with the National Science Foundation. He is a physicist and Adjunct Professor at Brown University. Dr. Padhi has more than 15 years of experience in large-scale distributed computing\, Data Analytics and Machine Learning. He is the co-creator of the Workload Management System currently used for all the data processing and simulations by CMS\, one of the largest experiments in the world at CERN\, consisting of more than 180 institutions across 40 countries. He also co-founded the ZEUS Computing Grid project at Deutsches Elektronen-Synchrotron (DESY)\, Germany before joining CERN. Sanjay obtained his Ph.D from McGill University in High Energy Physics\, co-author of more than 900 publications and is also currently appointed by the Dean of Faculty as an Adjunct Professor of Physics at Brown University. \nPredictive Analytics using Amazon Web Services\nOne of the most explored features of Big Data is predictive analytics. Predictive analytics is a set of techniques that are fundamental to large organizations like Amazon. Methods such as Machine Learning are used in many aspects of life\, including health care\, education\, financial modeling\, and marketing. Analytics on Big Data has given rise to various “smart” projects\, such as Connected Intersections\, Smart Cities\, and Smart Health. This talk will provide a range of such studies using predictive analytics including detailed overview of methods such as Machine Learning (ML) and Deep Learning using AWS. Fully managed Artificial Intelligence (AI) services to help researchers build\, train and deploy ML models in various domains including Computer Vision and Natural Language Processing (NLP) will also be outlined. Supervised and unsupervised based learning frameworks and its implications in the fields of Scientific Computing\, Medical Imaging\, Cancer detection\, Diabetic Retinopathy\, and Voice-enabled solutions to improve management of chronic disease will be discussed. The AWS Research Initiative with funding agencies such as the National Science Foundation (NSF) in the domains related to the foundation and innovative tracks\, as well as AWS Research Credit program will also be outlined. \nIf you would like to meet Dr. Sanjay Padhi on October 1\, please send a request to micde-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-sanjay-padhi-aws-research-and-technical-computing/
LOCATION:1670 Bob and Betty Beyster Building\, 2260 Hayward Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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GEO:42.2930138;-83.716372
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180925T163000
DTEND;TZID=UTC:20180925T173000
DTSTAMP:20260606T150707
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
GEO:42.2765179;-83.7350438
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Weiser Hall 10th Floor 500 Church Street Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 Church Street:geo:-83.7350438,42.2765179
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180924T163000
DTEND;TZID=UTC:20180924T173000
DTSTAMP:20260606T150707
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000160-1537806600-1537810200@micde.umich.edu
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Johnson Rooms Lurie Engineering Center 3rd Floor LEC 3213ABC 1221 Beal Ave. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1221 Beal Ave.:geo:-83.7138452,42.2914823
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180914T150000
DTEND;TZID=America/Detroit:20180914T160000
DTSTAMP:20260606T150707
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
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1084 East Hall 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180913T160000
DTEND;TZID=America/Detroit:20180913T170000
DTSTAMP:20260606T150707
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180913T090000
DTEND;TZID=America/Detroit:20180913T140000
DTSTAMP:20260606T150707
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Weiser Hall 10th Floor 500 Church Street Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 Church Street:geo:-83.7350438,42.2765179
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180907T150000
DTEND;TZID=America/Detroit:20180907T160000
DTSTAMP:20260606T150707
CREATED:20230905T171421Z
LAST-MODIFIED:20230905T171421Z
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
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1084 East Hall 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180828T140000
DTEND;TZID=America/Detroit:20180828T163000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000144-1535464800-1535473800@micde.umich.edu
SUMMARY:Geostatistical modeling
DESCRIPTION:Geostatistics deals with continuous variation over space and emphasizes the idea of spatial correlation via covariance. It is widely used for spatial interpolation. We will use ArcGIS and R to explore and develop an understanding of variogram and kriging and how they can be used for robust and unbiased interpolation of data over space. The workshop will also highlight computational aspects involved in implementing geostatistical models for relatively large data.
URL:https://micde.umich.edu/event/geostatistical-modeling/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180807T110000
DTEND;TZID=America/Detroit:20180807T170000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000146-1533639600-1533661200@micde.umich.edu
SUMMARY:Open MP Workshop
DESCRIPTION:ARC-TS and the Scientific Computing Student Club are hosting a satellite site for XSEDE hands-on workshops during this summer. These workshops provide a convenient way for researchers to learn about the latest techniques and technologies of current interest in HPC. \nThis one-day event will focus on OpenMP. \nPlease fill out this google form if you are interested in attending either workshop and would like more information. Official registration is done through the XSEDE site and will open soon. Space is limited.
URL:https://micde.umich.edu/event/open-mp-workshop/
LOCATION:NCRC B16 B003E\, 2800 Plymouth Rd.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:SC2,Workshops
GEO:42.3016367;-83.7054664
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=NCRC B16 B003E 2800 Plymouth Rd. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2800 Plymouth Rd.:geo:-83.7054664,42.3016367
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180806T083000
DTEND;TZID=America/Detroit:20180806T163000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20260401T200727Z
UID:10000148-1533544200-1533573000@micde.umich.edu
SUMMARY:Single-Cell Data Analytics Symposium 2018
DESCRIPTION:Please join us for the second annual Single-cell Genomic Data Analytics Symposium. The day long symposium will highlight researchers from U-M and around the world whose work is on the leading edge of innovation and discovery. This symposium is organized by the Michigan Center for Single-Cell Genomic Data Analytics and sponsored by the Michigan Institute for Data Science. \n\n\n\n\n  \nFEATURED SPEAKERS\n\nPeter Kharchenko\, Assistant Professor of Biomedical Informatics Harvard Medical School\nJohn Marioni\, Research Group Leader\, European Bioinformatics Institute\nDana Pe’er\, Scientific Director\, GMTEC; Chair\, Computational and Systems Biology Program\, Memorial Loan Kettering Cancer Center\nChristina Kendziorski\, Professor\, Biostatistics and Medical Informatics\, University of Wisconsin
URL:https://micde.umich.edu/event/single-cell-data-analytics-symposium-2018/
LOCATION:Palmer Commons\, Great Lakes Central Room\, 100 Washtenaw Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Conference,Seminar
GEO:42.2807096;-83.7338753
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Palmer Commons Great Lakes Central Room 100 Washtenaw Ave. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=100 Washtenaw Ave.:geo:-83.7338753,42.2807096
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180622T130000
DTEND;TZID=America/Detroit:20180622T163000
DTSTAMP:20260606T150707
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000142-1529672400-1529685000@micde.umich.edu
SUMMARY:Spatial point process models
DESCRIPTION:This is the first workshop in a series of three workshops that will cover spatial modeling of three broad classes of data: (i) spatial point pattern\, (ii) discrete spatial variation on areal units\, and (iii) continuous spatial variation. \nSpatial point (and marked point) process models help us analyze the geometrical pattern of points in space and find application in a variety of fields including image processing\, public health\, forestry\, ecology\, and business. This workshop will provide an introduction to the point process model focusing on the conceptual aspects and implementation in R.
URL:https://micde.umich.edu/event/spatial-point-process-models/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180604T110000
DTEND;TZID=America/Detroit:20180607T170000
DTSTAMP:20260606T150707
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000145-1528110000-1528390800@micde.umich.edu
SUMMARY:XSEDE HPC Summer Bootcamp
DESCRIPTION:ARC-TS and the Scientific Computing Student Club are hosting a satellite site for XSEDE hands-on workshops during this summer. These workshops provide a convenient way for researchers to learn about the latest techniques and technologies of current interest in HPC. \nThis 4 day event will include MPI\, OpenMP\, OpenACC and accelerators. \nOfficial registration is done through the XSEDE portal. Please follow this link to read about the workshop (including the full agenda) and to register https://portal.xsede.org/course-calendar/-/training-user/class/611/session/1609 \nNote: you will need to create and XSEDE account if you don’t have one already \n 
URL:https://micde.umich.edu/event/xsede-hpc-summer-bootcamp/
LOCATION:NCRC B16 B003E\, 2800 Plymouth Rd.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,SC2,Workshops
GEO:42.3016367;-83.7054664
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=NCRC B16 B003E 2800 Plymouth Rd. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2800 Plymouth Rd.:geo:-83.7054664,42.3016367
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180531T090000
DTEND;TZID=America/Detroit:20180531T163000
DTSTAMP:20260606T150707
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000075-1527757200-1527784200@micde.umich.edu
SUMMARY:Introduction to SPSS
DESCRIPTION:Audience: Never before SPSS users who will be using SPSS for Windows.  Those using SPSS for Unix or Macintosh should email the instructor at cpow@umich.edu before enrolling. \nNote: Topic order is subject to change.  Participants must sign up for the entire series. \nFundamentals \nThis portion introduces SPSS for Windows\, the menu and the help systems\, the three main types of files used\, and printing from within SPSS.  It then addresses defining variables\, attaching labels\, defining missing values\, and various ways to enter data into SPSS.  Finally\, it covers a brief introduction to obtaining frequency distributions\, descriptive statistics\, and cross tabulations of variables. \nWithin-Case Transformations \nThis portion introduces data management capabilities\, including recoding variables (manual and automatic)\, computing new variables using formulas\, and counting occurrences of values within subjects.  Attention then turns to temporary transformations\, conditional processing of transformations\, and repetitive transformations.  SPSS syntax is also introduced. \nData Management with Multiple Files \nThis portion begins with a discussion of subsetting data files by drawing samples\, selecting groups and excluding groups from analysis.  Then\, the two main methods of merging SPSS data files are covered: adding additional variables and adding additional cases.  Next\, creating aggregated data sets and applying aggregated data to individuals is covered.  Lastly\, importing and exporting data between SPSS and other statistical programs (Excel\, dBase\, SAS) is demonstrated. \nBasic Statistics and Graphics\nThis portion covers basic exploratory procedures\, including obtaining percentiles\, frequencies\, descriptive statistics\, and cross tabulations. Basic comparative procedures including two-sample t-tests\, paired t-tests\, and one-way analysis of variance are also covered.  Then\, simple bivariate correlation analysis is introduced.  Participants are given a basic introduction to commonly used graphical procedures for displaying data\, including scatter plots\, bar graphs\, histograms\, and boxplots. \nRegistration\nTo register for CSCAR Workshops\, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM department shortcode: \nOFFICE HOURS\n9:00 a.m. – 5:00 p.m.\, Monday through Friday\nClosed 12pm – 1:00 p.m. every Tuesday for staff meeting.\nVoice: (734) 764-7828 (4-STAT from a campus phone)\nFax: (734) 647-2440 \nADDRESS\nCenter for Statistical Consultation and Research (CSCAR)\nThe University of Michigan\n3550 Rackham\n915 E. Washington St.\nAnn Arbor\, MI 48109-1070 \n 
URL:https://micde.umich.edu/event/introduction-to-spss-2-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180524T140000
DTEND;TZID=America/Detroit:20180524T170000
DTSTAMP:20260606T150707
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000143-1527170400-1527181200@micde.umich.edu
SUMMARY:Geospatial analysis with Google Earth Engine
DESCRIPTION:Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This workshop will provide an introduction to GEE. We will cover data models in GEE\, basic vector and raster operations\, and classification in both feature and image space. \nYou should be familiar with vector and raster data\, GIS and remote sensing. We will use the web-based IDE for the Earth Engine JavaScript API. You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine.
URL:https://micde.umich.edu/event/geospatial-analysis-with-google-earth-engine/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180516T140000
DTEND;TZID=America/Detroit:20180516T160000
DTSTAMP:20260606T150707
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000147-1526479200-1526486400@micde.umich.edu
SUMMARY:Intro to Natural Language Processing with Python
DESCRIPTION:This workshop will provide a quick overview of natural language processing using Python. We’ll cover the basics. Segmenting text into tokens\, assigning part-of-speech\, assigning dependency labels\, detecting and labeling named-entities. We’ll also cover sentiment analysis\, topic modelling and maybe some visualizations. The workshop will be conducted in Python and is intended for users with basic Python programming knowledge. Anaconda Python 3.5 and a Jupyter Notebook will be used.
URL:https://micde.umich.edu/event/intro-to-natural-language-processing-with-python/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180416T160000
DTEND;TZID=America/Detroit:20180416T170000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000127-1523894400-1523898000@micde.umich.edu
SUMMARY:MICDE Seminar: Vladimir Druskin\, Scientific Advisor\, Schlumberger Doll Research
DESCRIPTION:Bio: Vladimir Druskin is an applied mathematician with expertise in several areas including numerical algorithms\, large scale numerical simulations\, computational linear algebra\, inverse problems\, model reduction\, computational geophysics\, subsurface and medical imaging\, electrical engineering and financial mathematics. Dr. Druskin got his Ph.D. from Lomonosov Moscow State University (MSU) focused on applied mathematics. He is currently a scientific advisor at Schlumberger Doll Research working in energy research and development with demonstrated successful history of leading large collaborative industrial-academic projects in mathematical modeling and data-processing. \nReduced order models\, networks\, and applications to modeling and imaging with waves\nGeophysical seismic exploration\, as well as radar and sonar imaging require the solution of large-scale forward and inverse problems for hyperbolic systems of equations.  In this talk\, I will show how model order reduction can be used to address some intrinsic difficulties of these problems.  In model order reduction\, one approximates the response (transfer function) of a large-scale dynamical system using a smaller system\, called the reduced order model (ROM).  We consider ROMs that capture properties of the large problem that are essential for imaging and that can be realized via sparse graph-Laplacian networks.  The ROMs are data-driven\, i.e.\, they learn the underlying PDE problem from the transfer function.  One of the better-known applications of our ROMs is the efficient discretization of PDE problems in unbounded domains.  Here I will focus on two recent applications: (i) Multiscale modeling of elastic wave propagation via network approximations\, with low communication and computational cost; (ii) A direct\, nonlinear acoustic imaging algorithm in strongly heterogeneous media\, where the ROM is used to manipulate the data in such a way that multiply scattered waves are separated from the single scattered ones. \nDr. Druskin is being hosted by Prof. Borcea (Mathematics) and Prof. Schotland (Mathematics & Physics). If you would like to meet him\, please send an email to micde-contact@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-vladimir-druskin-schlumberger-doll-research/
LOCATION:1360 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180410T143000
DTEND;TZID=America/Detroit:20180410T163000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000140-1523370600-1523377800@micde.umich.edu
SUMMARY:Open Source GIS Tools
DESCRIPTION:This workshop will provide a fast paced introduction to open source GIS tools\, especially QGIS (but also R). We will explore QGIS’s power and functionalities for manipulating and analyzing vector GIS data. The workshop will be especially useful for students and researchers who use ArcGIS\, but would like to learn about open source GIS tools. Participant should have at least one semester or equivalent exposure to GIS.
URL:https://micde.umich.edu/event/open-source-gis-tools/
LOCATION:Angell Hall\, Classroom A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180410T143000
DTEND;TZID=America/Detroit:20180410T153000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000128-1523370600-1523374200@micde.umich.edu
SUMMARY:MICDE Seminar: Raul Radovitzky\, Department of Aeronautics and Astronautics\, Massachusetts Institute of Technology
DESCRIPTION:Bio: Raul Radovitzky is the Raymond L. Bisplinghoff Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology. He also serves as the Associate Director of the MIT Institute for Soldier Nanotechnologies\, where he also leads research efforts on Blast and Ballistic Protection. He received a Civil Engineer degree from the University of Buenos Aires in 1991\, A S. M. in Applied Mathematics from Brown University in 1995 and a Ph.D. in Aeronautical Engineering from the California Institute of Technology in 1998. His research interests are in the development of numerical methods for multi-scale modeling of complex material response as well as in the formulation and implementation of algorithms for large-scale simulation of the dynamic response of materials to extreme loading conditions with emphasis on material and structural failure. The methods his group has developed have led to significant advances in our understanding of the physical effects of blast waves on the brain. This has helped to develop strategies to protect against Traumatic Brain Injury. Dr. Radovitzky is an Associate Fellow of the American Institute of Aeronautics and Astronautics and a member of the National Football League Head\, Neck and Spine Injury Research Committee. \nExtension of the peridynamic theory of solids for the simulation of materials under extreme loadings\nThe prediction of material and structural failure remains one of the most difficult challenges in structural and solid mechanics. Complexity emerges from the fundamental multiscale aspect of the mechanics of fracture\, where the small-scale response is usually responsible for large-scale system damage and failure. In addition\, significant algorithmic challenges remain\, including the difficulty in representing fracture\, some fundamental numerical convergence issues in the presence of material damage; and computational robustness and scalability enabling large-scale simulations.\nIn this presentation\, I will describe our efforts on the investigation of the theory of peridynamics and its numerical implementation\, as a promising alternative approach for simulating extreme material response. Peridynamics is a relatively new\, nonlocal formulation of continuum mechanics based on integral equations. It includes a physical length scale and naturally supports the presence of discontinuities in the solution field. As part of our work in this area\, we have proposed an extended formulation of the state theory of peridynamics addressing some fundamental issues present in the original theory. Specifically\, we have found that unphysical energy modes that do not contribute to the strain energy are allowed in the original formulation\, which\, in turn\, are responsible for the numerical instabilities commonly observed in peridynamic particle discretizations. In order to address this issue\, we introduce an extension of the constitutive correspondence framework based on bond-level nonlinear strain measures of the Seth-Hill type\, in direct analogy to local measures of deformation in continuum mechanics. We show that the numerical instabilities are eliminated when the numerical discretization is based on the extended theory.\nIn addition\, we have explored different approaches for incorporating material damage and fracture within the context of peridynamics formulations. I will describe one approach based on continuum damage models and another one particularly suited for brittle fracture.\nThe algorithms resulting from a particle discretizations of the proposed extended peridynamics framework have been implemented in our research code ΣMIT. I will provide examples illustrating the key numerical properties of the method. In addition\, I will show numerical results that demonstrate the ability of the method to capture experimentally observed ballistic limit curves for ductile materials\, as well as realistic fracture patterns in brittle materials subjected to projectile impact loadings. \nProf. Radovitzky is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet with him\, please send an email to micde-contact@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-raul-radovitzky-mit/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:MICDE Seminar Series
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GEO:42.2914823;-83.7138452
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180406T150000
DTEND;TZID=America/Detroit:20180406T160000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000138-1523026800-1523030400@micde.umich.edu
SUMMARY:CEE/MICDE Seminar: Khachik Sargsyan\, Sandia National Laboratories
DESCRIPTION:Bio: Khachik Sargsyan is a Principal Member of Technical Staff at Sandia National Laboratories (SNL) in Livermore\, CA. Before staff and postdoctoral positions at SNL\, he received his Ph.D. in Applied and Interdisciplinary Mathematics from University of Michigan\, Ann Arbor\, in 2007. His Bachelors degree\, awarded in 2002\, is in Applied Math and Physics from Moscow Institute of Physics and Technology. Dr. Sargsyan’s research evolves around uncertainty quantification (UQ) and predictability analysis of physical and computational models. He has developed and applied methods for model reduction\, UQ and data assimilation\, targeting fundamental challenges such as structural errors\, intrinsic stochasticity\, high-dimensionality\, limited data\, discontinuities and rare events\, with applications in climate modeling\, chemical kinetics\, hardware architecture simulators and turbulent combustion. He is one of the lead developers of UQTk (www.sandia.gov/uqtoolkit)\, a lightweight C++/Python software toolkit for quantification of uncertainties in model predictions.\n \nDr. Sargsyan is being hosted by Prof. Ivanov (Civil and Env. Engineering). If you would like to meet him\, please send an email to Chase Dwelle at dwellem@umich.edu \nProbabilistic Methods for Uncertainty Quantification in Computational Models\nOver the last decade\, improved measurement capabilities and computational resources have led to significant algorithmic developments toward efficient uncertainty quantification (UQ) for computational models. Such models of physical systems often involve input parameters that exhibit certain degree of uncertainty. Estimation and propagation of these uncertainties are crucial for model validation\, computational/experimental design and decision making. ​This talk will focus on probabilistic methods with emphasis on Polynomial Chaos (PC) expansions as a means for functional representation of random variables. The talk will highlight the use of PC methods both for forward propagation of uncertainties and for inverse problems\, such as parameter estimation via Bayesian inference. I will list associated major challenges\, including the curse of dimensionality and model structural error estimation\, in the context of computationally expensive models of physical systems. Both fundamental and more recent methods will be introduced and demonstrated\, impacting a wide range of applications\, such as climate modeling\, turbulent combustion and chemical kinetics.
URL:https://micde.umich.edu/event/cee-micde-seminar-khachik-sargsyan-sandia-national-laboratories/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series,Seminar
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GEO:42.292322;-83.713272
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1311 EECS 1301 Beal Ave. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=1301 Beal Ave.:geo:-83.713272,42.292322
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180406T150000
DTEND;TZID=America/Detroit:20180406T160000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000139-1523026800-1523030400@micde.umich.edu
SUMMARY:AIM Seminar: Christoph Börgers\, Mathematics\, Tufts University
DESCRIPTION:Bio: Christoph Börgers is a Professor of Mathematics at Tufts University. He got his Ph.D. under Prof. Charles Peskin at the Courant Institute of Mathematical Sciences\, in 1985. Prof. Börgers was a professor in the University of Michigan department of Mathematics until 1996 when he moved to Tufts. His expertise is in mathematical neuroscience\, applied dynamical systems\, numerical analysis\, scientific computing\, and during the past decade\, most of his work has been in the area of Computational Neuroscience. \nRhythms in neuronal networks with recurrent excitation\nInteracting excitatory and inhibitory neuronal populations often generate oscillations in electrical fields in the brain. I will briefly review this mechanism and the reasons to believe that it is important in brain function. Most of the talk will be focused on the effects of recurrent excitation\, i.e.\, of the neurons of a local network in the brain exciting each other. Recurrent excitation can sustain activity in a network that would otherwise be quiescent; this is believed to be the basis of working memory. It can also lead to a runaway process\, with excitation generating more excitation etc.\, much as the presence of a quadratic term on the right-hand side of a differential equation can lead to blow-up in finite time; this may be related to epileptic seizures. For model problems\, we prove that abrupt transitions to runaway activity require recurrent excitation with fast kinetics\, while working memory activity is more robust with recurrent excitation with slow kinetics. \nProf. Börgers is being hosted by Prof. Robert Krasny (Mathematics).
URL:https://micde.umich.edu/event/aim-seminar-christoph-borgers-mathematics-tufts-university/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2018/03/Christoph-Borgers.png
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1084 East Hall 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180402T140000
DTEND;TZID=America/Detroit:20180402T150000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000126-1522677600-1522681200@micde.umich.edu
SUMMARY:MICDE Seminar: Amanda Randles\, Department of Biomedical Engineering\, Duke University
DESCRIPTION:Bio: Amanda Randles is an assistant professor of Biomedical Engineering at Duke University. She has courtesy appointments in the departments of Mechanical Engineering and Material Science\, Computer Science and Mathematics\, and is a member of the Duke Cancer Institute. She got her Ph.D. from Harvard University in 2013\, and has been the recipient of the Lawrence Fellowship (Lawrence Livermore National Lab.)\, the Anita Borg Memorial Scholarship (Google)\, and the George Michael Memorial High Performance Computing Fellowship (ACM/IEEE) among many accomplishments in her early career. Her research in biomedical simulation and high performance computing focuses on the development of new computational tools that she uses to provide insight into the localization and development of human diseases ranging from atherosclerosis to cancer. \nMassively Parallel Simulations of Hemodynamics in the Human Vasculature\nThe recognition of the role hemodynamic forces have in the localization and development of disease has motivated large-scale efforts to enable patient-specific simulations. When combined with computational approaches that can extend the models to include physiologically accurate hematocrit levels in large regions of the circulatory system\, these image-based models yield insight into the underlying mechanisms driving disease progression and inform surgical planning or the design of next generation drug delivery systems. Building a detailed\, realistic model of human blood flow\, however\, is a formidable mathematical and computational challenge. The models must incorporate the motion of fluid\, intricate geometry of the blood vessels\, continual pulse-driven changes in flow and pressure\, and the behavior of suspended bodies such as red blood cells. In this talk\, I will discuss the development of HARVEY\, a parallel fluid dynamics application designed to model hemodynamics in patient-specific geometries. I will cover the methods introduced to reduce the overall time-to-solution and enable near-linear strong scaling on up to 1\,572\,864 core of the IBM Blue Gene/Q supercomputer. Finally\, I will present the expansion of the scope of projects to address not only vascular diseases\, but also treatment planning and the movement of circulating tumor cells in the bloodstream. \nProf. Randles is being hosted by Dr. Carrasco-Teja (MICDE). If you would like to meet her during her visit please send an email to mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-amanda-randles-duke-university/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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GEO:42.2914823;-83.7138452
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180330T140000
DTEND;TZID=America/Detroit:20180330T163000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000136-1522418400-1522427400@micde.umich.edu
SUMMARY:Parallel Processing with Python
DESCRIPTION:Modern computers have a CPU with multiple cores (usually between 4-8). Come learn how to take advantage of them to parallelize and speed up your code. We’ll show you how to structure your code so you can parallelize it in 5 lines or less. We will also cover some theory\, a few practical considerations along with some basic exercises. We’ll be using the multiprocessing module in Python. The workshop is intended for users with basic Python knowledge. The workshop assumes you know how to do the following in Python: i) write a for loop\, ii) write a function that has inputs and outputs.  Anaconda Python 3.5 will be used.
URL:https://micde.umich.edu/event/parallel-processing-with-python/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180330T140000
DTEND;TZID=America/Detroit:20180330T150000
DTSTAMP:20260606T150707
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000125-1522418400-1522422000@micde.umich.edu
SUMMARY:MICDE Seminar: Michael Falk\, Department of Materials Science and Engineering\, Johns Hopkins University
DESCRIPTION:Bio: Michael Falk is a professor of Materials Science and Engineering at Johns Hopkins University where he also serves as the Vice Dean for Undergraduate Education. He holds a bachelor’s degree in physics and a master’s degree in Computer Science from Johns Hopkins. He completed his Ph.D. in physics at the University of California\, Santa Barbara and then launched his academic career as a computational materials scientist at the University of Michigan in 2000. In 2008 he returned to Johns Hopkins as an associate professor of Materials Science and Engineering with joint appointments in Mechanical Engineering and Physics. Prof. Falk’s research focuses on utilizing computer simulation on the atomic scale to understand the processes by which materials are pushed out of equilibrium by processes such as bending\, breaking\, charging and undergoing frictional sliding. His research has had an abiding focus on the ways glass structures accommodate plastic flow\, deformation and fracture. These investigations have involved developing new methodologies for deploying molecular dynamics simulations and the development of thermodynamically motivated constitutive theories. Prof. Falk also engages in educational research and is a strong advocate for diversity and inclusion\, engaging in outreach to Baltimore City elementary schools and advocating for a welcoming climate for LGBTQ people within the engineering and physics professions. \nConnecting atomistic simulations\, defect-based theories and continuum plasticity in amorphous solids\nGlasses\, and the more general category of materials known as amorphous solids\, lack crystal structure and find wide application from consumer goods to photovoltaics. Yet\, issues quantifying disorder have stymied the construction of physically grounded mechanical constitutive laws for these materials suitable for failure prediction. Atomistic simulation methods can provide some insight regarding the mechanisms of plastic deformation and strain localization. Recent investigations have aimed at quantifying the defects that control plastic flow by quantifying a yield stress field at the nanometer scale. Analysis of these fields have confirmed some of the assumptions built into the shear transformation zone theory of amorphous plasticity\, most notably the orientational nature of the defect and their pre-existence in the structure. I will further discuss methods for quantitatively predicting strain localization\, a limiting failure process in high-strength metallic glasses and other amorphous materials by parameterizing the effective-temperature shear transformation zone theory from molecular dynamics simulations. We have directly cross-compared molecular dynamics simulations and continuum representations of these same materials in order to test and validate our constitutive theories. The role of coarse graining in the linkage of continuum and atomistic methods is crucial\, and convergence only arises above a critical length scale on the order of tens of angstroms. The investigation makes clear the need to separate out the relevant fluctuations in material structure from the shorter wavelength fluctuations that serve to obscure them. It is\, in the end\, the interactions between these larger-scale relevant fluctuations via the material’s mechanical response that controls the failure process during strain localization. \nProf. Falk is being hosted by Prof. Yue Fan (Mechanical Engineering). If you would like to meet him during his visit please email micde-contact@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-michael-falk-hopkins/
LOCATION:1303 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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GEO:42.292322;-83.713272
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180323T143000
DTEND;TZID=America/Detroit:20180323T170000
DTSTAMP:20260606T150707
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000137-1521815400-1521824400@micde.umich.edu
SUMMARY:Intro to GPU & CUDA Programming
DESCRIPTION:This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples. \nPlease bring a laptop if would like to try the examples during the session\, but it is not necessary\, since the examples will be available for you to try later on the Flux computing cluster. Participants should be familiar with programming and how to use Flux.
URL:https://micde.umich.edu/event/intro-to-gpu-cuda-programming/
LOCATION:1180 Duderstadt Center\, 2281 Bonisteel Blvd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.291072;-83.715734
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1180 Duderstadt Center 2281 Bonisteel Blvd Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2281 Bonisteel Blvd:geo:-83.715734,42.291072
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180322T180000
DTEND;TZID=America/Detroit:20180322T200000
DTSTAMP:20260606T150707
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000134-1521741600-1521748800@micde.umich.edu
SUMMARY:[SC2] Social After the Symposium
DESCRIPTION:After the MICDE symposium join us at the Ann Arbor Brewing Co. – Tap Room. We will provide the appetizers and non-alcoholic drinks.\nHope to see you there! \nPlease RSVP here
URL:https://micde.umich.edu/event/sc2-social-after-the-symposium/
LOCATION:Arbor Brewing Co – Tap Room\, 114 E Washington St\, Ann Arbor\, MI\, 48104\, United States
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GEO:42.28025;-83.747817
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Arbor Brewing Co – Tap Room 114 E Washington St Ann Arbor MI 48104 United States;X-APPLE-RADIUS=500;X-TITLE=114 E Washington St:geo:-83.747817,42.28025
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180322T080000
DTEND;TZID=America/Detroit:20180322T170000
DTSTAMP:20260606T150707
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000131-1521705600-1521738000@micde.umich.edu
SUMMARY:Computation: A Pillar of Science and a Lens to the Future — the 2018 MICDE Symposium
DESCRIPTION:The Michigan Institute for Computational Discovery and Engineering 2018 Symposium will feature eminent scientists from around the world and the U-M campus. The symposium this year will show how computational science is leading the research at all scales in our lives\, from the molecular level to the sky. \nVisit the Symposium page for more details. \nPlease register if you plan to attend. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSPEAKERS\n\n\n\n\n\n\n\n\n\n\nGuruduth Banavar\nChief Technology Officer\nViome \n\n\n\n\n\n\n\n\n\n\n\nCynthia Chestek\nAssistant Professor\, Biomedical Engineering and EECS\nUniversity of Michigan \n\n\n\n\n\n\n\n\n\n\n\nAlison Marsden\nPrincipal Investigator\, Cardiovascular Biomechanics Computation Lab\nStanford University \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nCleve Moler\nCofounder and Chief Mathematician\nMathWorks \n\n\n\n\n\n\n\n\n\n\n\nRaju Namburu\nChief\, Computational and Information Sciences Directorate\nArmy Research Lab \n\n\n\n\n\n\n\n\n\n\n\nStephen Smith\nAssistant Professor\, Ecology and Evolutionary Biology\nUniversity of Michigan \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nBeth Wingate\nProfessor\, Mathematics\nUniversity of Exeter \n\n\n\n\n\n\n\n\n\nPOSTER COMPETITION\nThe symposium will include a poster competition highlighting outstanding computational work from U-M students and postdocs. First place is awarded $500\, and second and third places win $250.
URL:https://micde.umich.edu/event/computation-a-pillar-of-science-and-a-lens-to-the-future-the-2018-micde-symposium/
LOCATION:Rackham Amphitheatre\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Conference,Featured Events,MICDE Seminar Series
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DTSTART;TZID=America/Detroit:20180320T140000
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SUMMARY: Deep Neural Networks with TensorFlow: A Quick Start Introduction
DESCRIPTION:Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. TensorFlow is a popular software library that is often used to construct and train DNNs. In this workshop\, participants will learn how to quickly use the high-level TensorFlow Estimator module to perform nonlinear regression and classification with standard fully connected DNNs. We will also show how the Estimator module can be used to perform image classification using Convolutional Neural Networks (CNNs). All examples will use Python; some familiarity with Python is recommended. You are encouraged but not required to bring a laptop with TensorFlow already installed.
URL:https://micde.umich.edu/event/deep-neural-networks-with-tensorflow-a-quick-start-introduction/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180316T140000
DTEND;TZID=America/Detroit:20180316T163000
DTSTAMP:20260606T150707
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000135-1521208800-1521217800@micde.umich.edu
SUMMARY:Intro to SQL
DESCRIPTION:Ever want to know how to communicate with a database? You need to know SQL\, a standard programming language for working with relational database management systems in data warehouses or just Microsoft Access. This workshop will cover the basic syntax of SQL. Material will focus mainly on how to query databases. A web-based tool will be used for the tutorial.
URL:https://micde.umich.edu/event/intro-to-sql-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
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DTSTART;TZID=America/Detroit:20180316T120000
DTEND;TZID=America/Detroit:20180316T133000
DTSTAMP:20260606T150707
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
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SUMMARY:[SC2 & MICDE] Lunch with alumni: Lois K. Smith
DESCRIPTION:Lois graduated from Michigan in the Fall 2016 with a PhD from the AOSS (now Climate and Space Sciences and Engineering) department and was an MICDE fellow and is Certificate in Computational Discovery & Engineering alumni. Since graduating\, she has been in industry working as a data scientist (iSpot\, Microsoft). She is back on campus and will join the SC2 to talk about her transition to industry and how MICDE and her training in computational sciences helped on the way. \nRSVP please.
URL:https://micde.umich.edu/event/sc2-micde-lunch-with-alumni-lois-k-smith/
LOCATION:1180 Duderstadt Center\, 2281 Bonisteel Blvd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,SC2
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