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DTSTART;TZID=UTC:20161006T154500
DTEND;TZID=UTC:20161006T170000
DTSTAMP:20230905T171441Z
CREATED:20230905T171441Z
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SUMMARY:MICDE Seminar: Jonathan Freund\, University of Illinois at Urbana-Champaign
DESCRIPTION:Bio: Jonathan Freund is the Donald Biggar Willett Professor of Mechanical Science & Engineering and Aerospace at the University of Illinois at Urbana-Champaign.   He is a Fellow of the American Physical Society\, and a winner of the 2008 Frenkiel Prize from its Division of Fluid Dynamics where he currently serves as the division secretary/treasurer.  He is an associate editor of Physical Review Fluids and on the editorial board of Annual Review of Fluid Mechanics.  Computational science has been central to his research\, which has included simulations of turbulent jet noise and its control\, the dynamics of molecularly thin liquid films\, nanostructure formation by ion-bombardment of semiconductor materials\, and most recently the dynamics of red blood cells flowing in the narrow confines of the microcirculation.  He co-directs the DOE-funded Center for Exascale Simulation of Plasma-Coupled Combustion at the University of Illinois. \nAdjoint-based optimization for understanding and reducing flow noise\nAdvanced simulation tools\, particularly large-eddy simulation techniques\, are becoming capable of making quality predictions of jet noise for realistic nozzle geometries and at engineering relevant flow conditions.  Increasing computer resources will be a key factor in improving these predictions still further.  Quality prediction\, however\, is only a necessary condition for the use of such simulations in design optimization.  Predictions do not of themselves lead to quieter designs.  They must be interpreted or harnessed in some way that leads to design improvements.  As yet\, such simulations have not yielded any simplifying principals that offer general design guidance. The turbulence mechanisms leading to jet noise remain poorly described in their complexity.  In this light\, we have implemented and demonstrated an aeroacoustic adjoint-based optimization technique that automatically calculates gradients that point the direction in which to adjust controls in order to improve designs.  This is done with only a single flow solutions and a solution of an adjoint system\, which is solved at computational cost comparable to that for the flow. Optimization requires iterations\, but having the gradient information provided via the adjoint accelerates convergence in a manner that is insensitive to the number of parameters to be optimized.  The talk will review the formulation of the adjoint of the compressible flow equations for optimizing noise-reducing controls and present examples of its use.  We will particularly focus on some mechanisms of flow noise that have been revealed via this approach. \nThis seminar is co-sponsored by U-M Aerospace Engineering
URL:https://micde.umich.edu/event/micde-seminar-jonathan-freund-university-of-illinois-at-urbana-champaign/
LOCATION:Boeing Auditorium –  1109 Francois-Xavier Bagnoud Building\, 1320 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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DTSTART;TZID=America/Detroit:20161007T160000
DTEND;TZID=America/Detroit:20161007T180000
DTSTAMP:20230905T171441Z
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SUMMARY:Gary King\, PhD\, Harvard\, Institute for Quantitative Social Science - MIDAS Seminar Series
DESCRIPTION:Gary King\, PhD\nHarvard University\n‘Big Data is Not About the Data!’\nAbstract: The spectacular progress the media describes as “big data” has little to do with the data.  Data\, after all\, is becoming commoditized\, less expensive\, and an automatic byproduct of other changes in organizations and society. More data alone doesn’t generate insights; it often merely makes data analysis harder. The real revolution isn’t about the data\, it is about the stunning progress in the statistical and other methods of extracting insights from the data. I illustrate these points with a wide range of examples from research I’ve participated in\, including forecasting the solvency of Social Security; reverse engineering Chinese government censorship and fabrication of social media posts; how the same methods can estimate the causes of death in developing countries and understand billions of social media posts; an educational innovation that guarantee that students will do the reading; among others. \nBio: Gary King is the Albert J. Weatherhead III University Professor at Harvard University — one of 24 with the title of University Professor\, Harvard’s most distinguished faculty position. He is based in the Department of Government (in the Faculty of Arts and Sciences) and serves as Director of the Institute for Quantitative Social Science. King develops and applies empirical methods in many areas of social science research\, focusing on innovations that span the range from statistical theory to practical application. \nKing is an elected Fellow in 8 honorary societies (National Academy of Sciences 2010\, National Academy of Social Insurance 2014\, American Statistical Association 2009\, American Association for the Advancement of Science 2004\, American Academy of Arts and Sciences 1998\, Society for Political Methodology 2008\, American Academy of Political and Social Science 2004\, and the Guggenheim Foundation 1994-5) and has won more than 40 “best of” awards for his work (including the Warren E. Miller Award for Meritorious Service to the Social Sciences 2015\, Career Achievement Award 2010\, McGraw-Hill Award 2006\, Durr Award 2005\, Gosnell Prize 1999 and 1997\, Warren Miller Prize 2008\, Outstanding Statistical Application Award 2000\, Donald Campbell Award 1997\, Eulau Award 1995\, Mills Award 1993\, Pi Sigma Alpha Award 2005\, 1998\, and 1993\, APSA Research Software Award 2005\, 1997\, 1994\, and 1992\, Okidata Best Research Software Award 1999\, Okidata Best Research Web Site Award 1999\, Mendelsohn Excellence in Mentoring Award 2011\, Kellogg/Notre Dame Award 2014\, among others). King was elected President of the Society for Political Methodology (1997-1999) and Vice President of the American Political Science Association (2003-2004). He has been a member of the Senior Editorial Board at Science (2015-)\, Visiting Fellow at Oxford (1994)\, and Senior Science Adviser to the World Health Organization (1998-2003).  His more than 150 journal articles\, 20 open source software packages\, and 8 books span most aspects of political methodology\, many fields of political science\, and several other scholarly disciplines. \nKing’s work is widely read across scholarly fields and beyond academia. He was listed as the most cited political scientist of his cohort; among the group of “political scientists who have made the most important theoretical contributions” to the discipline “from its beginnings in the late-19th century to the present”; and on ISI’s list of the most highly cited researchers across the social sciences. His work on legislative redistricting has been used in most American states by legislators\, judges\, lawyers\, political parties\, minority groups\, and private citizens\, as well as the U.S. Supreme Court. His work on inferring individual behavior from aggregate data has been used in as many states by these groups\, and in many other practical contexts. His contributions to methods for achieving cross-cultural comparability in survey research have been used in surveys in over eighty countries by researchers\, governments\, and private concerns. King led an evaluation of the Mexican universal health insurance program\, which included the largest randomized health policy experiment to date. He has reverse engineered Chinese censorship\, and worked on a wide range of other projects. The statistical methods and software he develops are used extensively in academia\, government\, consulting\, and private industry.  He is a founder\, and an inventor of the original technology for\, Learning Catalytics (acquired by Pearson)\, Crimson Hexagon\, Perusall\, among others. \nKing has had many students and postdocs\, many of whom now hold faculty positions at leading universities and companies. He has collaborated with more than 150 scholars\, including many of his students\, on research for publication. He has served on more than 30 editorial boards; on the governing councils of the American Political Science Association\, Inter-university Consortium for Political and Social Research\, the Society for Political Methodology\, and the Midwest Political Science Association; and on several National Research Council and National Science Foundation panels. \nKing received a B.A. from SUNY New Paltz (1980) and a Ph.D. from the University of Wisconsin-Madison (1984). His research has been supported by the National Science Foundation\, the Centers for Disease Control and Prevention\, the World Health Organization\, the National Institute of Aging\, the Global Forum for Health Research\, and centers\, corporations\, foundations\, and other federal agencies. \nContact Info\nFor more information on MIDAS or the Seminar Series\, please contact midas-contact@umich.edu. MIDAS gratefully acknowledges Northrop Grumman Corporation for its generous support of the MIDAS Seminar Series.
URL:https://micde.umich.edu/event/gary-king/
LOCATION:Gerald Ford Library\, 1000 Beal Avenue\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MIDAS Seminar Series
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DTSTART;TZID=America/Detroit:20161011T180000
DTEND;TZID=America/Detroit:20161011T190000
DTSTAMP:20230905T171441Z
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SUMMARY:[SC2] High Performance Computing resources available to U-M students
DESCRIPTION:Did you know that U-M has a high capacity\, secure research storage and a free data science cluster? Did you know that XSEDE is a free scientific discovery infrastructure funded by NSF and available to anyone that needs it? In our next SC2 meeting Brock Palen\, Associate Director of Advanced Research Computing-Technology Services\, will join us to talk about these and all the high performance computing (HPC) resources available to U-M graduate and undergraduate students. \nBrock will be available for questions at the end of his presentation. \nPlease join us\, pizza and pop will be provided. \n \n 
URL:https://micde.umich.edu/event/sc2-high-performance-computing-resources-available-to-u-m-students/
LOCATION:1003 EECS\, 1301 Beal Ave.\, Ann Arbor\, 48109\, United States
GEO:42.292322;-83.713272
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20161014T151000
DTEND;TZID=UTC:20161014T160000
DTSTAMP:20230905T171443Z
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
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SUMMARY:MICDE Seminar: Anthony Wachs\, University of British Columbia
DESCRIPTION:Bio: Anthony Wachs is an assistant professor with a joint appointment in the departments of Mathematics and of Chemical and Biological Engineering at the University of British Columbia\, Vancouver\, Canada. He received his B. Sc. and M. Sc. from the University Louis Pasteur of Strasbourg and his PhD from the Institut National Polytechnique of Grenoble in 2000. Right after\, he was hired in 2001 as a Fluid Mechanics research engineer at IFP Energies nouvelles (IFPEN\, at that time Institut Français du Pétrole) in Paris. \nIn 2009\, he spent a one-year sabbatical at the nuclear research center of Cadarache in the south of France\, where he worked for IRSN (the french national safety administration for nuclear energy). In 2010\, he got his HDR (French Habilitation to Supervise Research) and was later promoted Scientific Advisor at IFPEN in Multiphase Flows and Scientific Computing. He then moved to IFPEN-Lyon where he supervised a group of researchers (including PhD and post-doc students) on the numerical simulation of reactive particulate flows (www.peligriff.com). \nHis main research interests are non-Newtonian Flows\, Multiphase Flows and High Performance Computing. He collaborates extensively with academic groups in Canada\, Brazil\, France and Germany. \nMicro/meso numerical modeling of flows laden with particles of arbitrary shape\nParticulate flows are ubiquitous in environmental\, geophysical and engineering processes. The intricate dynamics of these two-phase flows is governed by momentum transfer between the continuous fluid phase and the dispersed particulate phase. When significant temperature differences exist between the fluid and particles and/or chemical reactions take place at the fluid/particle interfaces\, the phases also exchange heat and/or mass\, respectively. While some multi-phase processes may be successfully modelled at the continuum scale through closure approximations\, an increasing number of applications require resolution across scales\, e.g. dense suspensions\, fluidized beds. Within a multi-scale micro/meso/macro-framework\, we develop robust numerical models at the micro and meso scales\, based on a Distributed Lagrange Multiplier/Fictitious Domain method and a two-way Euler/Lagrange method\, respectively. Collisions between finite size particles are modeled with a Discrete Element Method. Many real-life processes and/or flows involve non-spherical particles. Although there is still a lot to learn about flows laden with spherical particles\, there is also a strong incentive to develop new modeling tools to account for non-spherical\, angular\, convex or even non-convex particles. We discuss assorted issues related to the numerical modelling of flows laden with particles of arbitrary shape. Along the way\, we also address high performance computing issues related to our massively parallel numerical tools and challenges to efficiently transfer knowledge from small scales to large scales. We illustrate the modelling capabilities of our tools on the two following problems relevant of applications from the chemical engineering and process industry: (i) a rotating drum filled with non-convex particles and (ii) fixed and fluidized beds of multilobic (and hence non-convex) particles.\n\n  \nThis seminar is co-organized with the Applied Interdisciplinary Mathematics program
URL:https://micde.umich.edu/event/micde-seminar-anthony-wachs-university-of-british-columbia/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161025T180000
DTEND;TZID=America/Detroit:20161025T190000
DTSTAMP:20230905T171442Z
CREATED:20230905T171442Z
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SUMMARY:[SC2] DEMO: Visualizations on remote resources
DESCRIPTION:Results of adaptive simulations of a three-dimensional wing undergoing flapping motion in viscous flow. K. Fidkowski (U-M Aerospace) \nOne of the advantages of scientific computing research is the ability to use powerful supercomputers from the convenience of your home computer\, laptop\, tablet\, or even phone! In the next SC2 meeting club members will be demonstrating how you can use these remote resources to run and visualize simulations. Additionally\, we will be demonstrating the “scientific python” stack (Python\, NumPy\, Scipy) to duplicate MATLAB functionality with free\, open source software.
URL:https://micde.umich.edu/event/sc2-demo-visualizations-on-remote-resources/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:SC2
GEO:42.2757556;-83.7362041
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20161026T161000
DTEND;TZID=UTC:20161026T170000
DTSTAMP:20260522T154116Z
CREATED:20230905T171439Z
LAST-MODIFIED:20260522T154116Z
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SUMMARY:MICDE Seminar: Andrea Lodi\, Polytechnique Montréal
DESCRIPTION:Bio:  Andrea Lodi received a PhD in System Engineering from the University of Bologna in 2000 and he was a Herman Goldstine Fellow at the IBM Mathematical Sciences Department\, NY from 2005–2006. He was a full professor of Operations Research at DEI\, University of Bologna between 2007 and 2015. Since 2015 he has been the Canada Excellence Research Chair in “Data Science for Real-time Decision Making” at the Polytechnique Montréal. His main research interests are in Mixed-Integer Linear and Nonlinear Programming and Data Science and his work has received recognition including the IBM and Google faculty awards. He is author of more than 80 publications in the top journals of the field of Mathematical Optimization. He serves as Associate Editor for several prestigious journals in the area. He has been the network coordinator and principal investigator of two large EU projects/networks\, and\, since 2006\, consultant of the IBM CPLEX research and development team. Finally\, Andrea Lodi is the co-principal investigator (with Yoshua Bengio) of the project “Data Serving Canadians: Deep Learning and Optimization for the Knowledge Revolution”\, recently funded by the Canadian Federal Government under the Apogée Programme. \nOn Wide Split Cuts for Mixed-Integer Programming\nCutting planes (or simply cuts) are a fundamental component of modern Mixed-Integer Linear Programming (MILP) solvers because they help in strengthening the linear programming relaxation\, a proxy to make the branchand-bound tree small. A classical way of devising cuts is to exploit disjunctions\, for example in the domain of an integer variable\, where\, of course\, no fractional value leads to any feasible solution. Cutting planes of this type\, called split cuts\, classically exploit disjunctions whose ‘width’ is always equal to one\, i.e.\, no fractional value is feasible between two consecutive integer values. We investigate cutting planes that arise when widening the associated disjunctions. This allows\, e.g.\, to model non contiguous domains of (integer) variables (or\, stated differently\, ‘holes’ in the domains). The validity of the disjunctions in a MILP can come from either primal or dual information\, and we present examples and computational results in both cases. We further explore an exact MILP approach based on these cutting planes\, that in addition tackles non-contiguity directly via branching and as a side-effect reduces the model size. (Joint work with P. Bonami\, F. Serrano\, A. Tramontani\, S. Wiese.) \nThis seminar is co-sponsored by the U-M Department of Industrial & Operations Engineering
URL:https://micde.umich.edu/event/micde-seminar-andrea-lodi-ecole-polytechnique-montreal/
LOCATION:Boeing Auditorium –  1109 Francois-Xavier Bagnoud Building\, 1320 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20161027T080000
DTEND;TZID=UTC:20161028T170000
DTSTAMP:20230905T171439Z
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
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SUMMARY:Big Data: Improving the Scope\, Quality and Accessibility of Financial Data
DESCRIPTION:The Office of Financial Research and the University of Michigan will host a joint conference\, “Big Data: Improving the Scope\, Quality\, and Accessibility of Financial Data” in Ann Arbor\, Michigan.  The conference will bring together a wide range of scholars\, regulators\, policymakers\, and practitioners to explore how Big Data can be used to enhance financial stability and address other challenges in financial markets.
URL:https://micde.umich.edu/event/big-data-improving-the-scope-quality-and-accessibility-of-financial-data/
LOCATION:Unnamed Venue\, Ann Arbor\, MI\, United States
CATEGORIES:Conference
GEO:42.2808256;-83.7430378
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