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DTSTART;TZID=America/Detroit:20170224T160000
DTEND;TZID=America/Detroit:20170224T170000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
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SUMMARY:Jose Perea\, PhD\, Michigan State University - MIDAS Seminar Series
DESCRIPTION: \nJose Perea\, PhD\nAssistant Professor\nDepartments of Mathematics and\nComputational Mathematics\, Science and Engineering\nMichigan State University\nBio: My research focus lies at the intersection of algebraic topology\, data analysis and computational methods. My main interest consists in the application and adaptation of ideas from algebraic and geometric topology to the study of high-dimensional and complex data. Other interests include computer vision and computational biology. \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/jose-perea-phd-msu-midas-seminar-series/
LOCATION:Gerald Ford Library\, 1000 Beal Avenue\, Ann Arbor\, MI\, 48109\, United States
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170217T160000
DTEND;TZID=America/Detroit:20170217T170000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20260522T153310Z
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SUMMARY:Carol Flannagan\, PhD\, University of Michigan - MIDAS Seminar Series
DESCRIPTION:Carol A. C. Flannagan\, PhD\nResearch Associate Professor\nUniversity of Michigan Transportation Research Institute\nUniversity of Michigan\nBio: Carol A. C. Flannagan is a research associate professor in UMTRI’s Biosciences Group\, and director of CMISST. She joined UMTRI in 1991 after completing her Ph.D. in mathematical and experimental psychology at the University of Michigan (U-M). She also holds an M.A. in applied statistics from U-M and a B.A. in psychology from St. Lawrence University. \nDr. Flannagan has over 20 years of experience conducting data analysis and research on injury risk related to motor vehicle crashes and was responsible for the development of a model of injury outcome that allows side-by-side comparison of public health\, vehicle\, roadway and post-crash interventions. She has also applied statistical methods to understanding of the potential benefits of crash-avoidance technologies\, and works to develop novel applications of statistics to improve understanding of transporation safety. Dr. Flannagan’s current work with CMISST involves the fusion and analysis of large state-level crash databases\, which are useful in analyzing the effect of a variety of countermeasures on crash involvement and injury risk. In addition\, her group is working to make data available to researchers to expand the community of experts in transportation data analysis. \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/carol-flannagan-phd-university-of-michigan-midas-seminar-series/
LOCATION:Forum Hall\, Palmer Commons\, 100 Washtenaw Ave\, Ann Arbor\, MI\, 48109\, United States
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170216T170000
DTEND;TZID=America/Detroit:20170216T180000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
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SUMMARY:[SC2] U-M 3D Lab Tour
DESCRIPTION:The 3D Lab will give a brief tour and presentation of the 3D visualization resources available to students and all researchers at U-M. If you are thinking of registering to the Visualization Challenge\, this is a good opportunity to see many of the 3D options you have to present your data. Space is limited to 20 people: register here
URL:https://micde.umich.edu/event/sc2-u-m-3d-lab-tour/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170214T150000
DTEND;TZID=America/Detroit:20170214T160000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
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SUMMARY:MICDE Seminar: Steven White\, Physics & Astronomy\, University of California Irvine
DESCRIPTION:Bio: Steven White did his bachelor’s degree at the University of California in San Diego and received his Ph.D. from Cornell University. Early in his career he was awarded a National Science Foundation fellowship\, and an IBM postdoctoral fellowship. He’s been named an American Physical Society fellow\, and a fellow of the American Association for the Advancement of Science\, and of the American Academy of Arts and Science\, among others. Professor White is most known for inventing the Density Matrix Renormalization Group (DMRG)\, a numerical variation technique for high accuracy calculations of the low energy physics of quantum many-body systems. In 2003 he won the American Physical Society Aneesur Rahman prize\, a recognition of outstanding achievement in computational physics research “…for his development\, application\, and dissemination of the DMRG method”. He has published over one hundred and seventy papers on this and related subjects. \nTensor Network methods for Electronic Structure\nOur conventional picture of wave functions living in an exponentially large Hilbert space is both impractical for solving many particle systems and conceptually lacking: in recent years we have come to understand that physical states of matter live in an infinitesimal corner of Hilbert space\, characterized primarily by low entanglement. Tensor networks are the natural language to express low entanglement wave functions\, giving an exponentially compressed description of ground states. The density matrix renormalization group (DMRG) and other tensor network algorithms have had tremendous success in simulating quantum lattice models.The key challenge in translating these methods to electronic structure is the need to represent continuum space in an efficient way. After an introduction to tensor networks\, I’ll present a new DMRG-based approach suitable for the electronic structure of long molecules. Our sliced-basis DMRG method produces near-exact ground states within its basis\, and has a computation time which is linear in the length of the molecule. We are implementing SBDMRG for chains of hydrogen atoms\, where we have been able to simulate up to 1000 atoms in a minimal basis. \nProf. White is being hosted by Prof. Emanuel Gull (Chemistry)
URL:https://micde.umich.edu/event/micde-seminar-steven-white-physics-astronomy-university-of-california-irvine/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170203T160000
DTEND;TZID=America/Detroit:20170203T170000
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SUMMARY:Yao Xie\, PhD\, Georgia Institute of Technology - MIDAS Seminar Series
DESCRIPTION:Yao Xie\, PhD\nGeorgia Institute of Technology\nBio: Yao Xie is an assistant professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech. Her research interests are in sequential statistical methods\, statistical signal processing\, big data analysis\, compressed sensing\, optimization\, and has been involved in applications to wireless communications\, sensor networks\, medical and astronomical imaging. \nDr. Xie previously served as Research Scientist in the Electrical and Computer Engineering Department at Duke University after receiving her Ph.D. in Electrical Engineering (minor in Mathematics) from Stanford University in 2011. \n  \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/yao-xie/
LOCATION:Rackham Amphitheatre\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
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GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170203T100000
DTEND;TZID=America/Detroit:20170203T110000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000065-1486116000-1486119600@micde.umich.edu
SUMMARY:MICDE Seminar: Anna Krylov\, Chemistry\, University of Southern California
DESCRIPTION:Bio: Anna Krylov is a Gabilan Distinguished Professor in Science and Engineering\, Chemistry at the University of Southern California. She received her M.Sc. in Chemistry from Moscow State University and later her Ph.D. from The Hebrew University of Jerusalem. Upon completing her Ph.D. in 1996 (summa cum laude)\, she joined the group of Prof. Martin Head-Gordon at the University of California\, Berkeley as a postdoctoral research associate\, where she first became involved with electronic structure method development. In 1998\, she joined Department of Chemistry at USC. Currently\, Prof. Krylov leads a research group focused on theoretical modeling of open shell and electronically excited species. She is the head of the Center for Computational Studies of Electronic Structure and Spectroscopy of Open-Shell and Electronically Excited Species\, iOpenShell\, supported by the National Science Foundation (2005–2011) and the University of Southern California. She is developing robust black-box methods aiming to describe complicated multi-configurational wave functions in a single-reference formalism\, such as coupled-cluster and equation-of-motion (or linear response) approaches. She has developed the spin-flip approach\, which extends coupled-cluster and density functional methods to diradicals\, triradicals\, and bond-breaking. Using computational chemistry tools\, and in collaboration with numerous experimental groups\, Krylov is also investigating the role that radicals and electronically excited species play in such diverse areas as combustion\, gas- and condensed-phase chemistry\, solar energy applications\, bioimaging\, and ionization-induced processes in biology. She has co-authored more than 120 publications and has delivered more than 130 invited lectures. (Source https://en.wikipedia.org/wiki/Anna_Krylov) \nFission of entangled spins: Electronic structure perspective\nSinglet fission (SF)\, a process in which one singlet excited state is converted into two triplet states\, is of interest in the context of organic photovoltaic technology. Owing to its technological significance\, the mechanism of SF has been vigorously investigated. Yet\, the design principles for materials capable of efficient SF remain elusive. The main challenge faced by theory is a complex and intricate electronic structure of the process\, which involves non-adiabatic transitions between strongly correlated states. This lecture will discuss electronic structure of the relevant states\, the nature of non-adiabatic couplings\, and the connection between electronic factors and rates\, emphasizing the methodological aspects of the problem. The utility of theory will be illustrated by examples. Recent experimental and theoretical studies of SF in covalently linked tetracene dimers shed light on the effect of the linkers on the electronic factors and SF rates\, illuminating the role of through-space and through-bond interactions between the chromophores. The results highlight the importance of integrative approaches that evaluate the overall rate\, rather than focus on specific electronic factors\, such as energies or couplings.
URL:https://micde.umich.edu/event/micde-seminar-anna-krylov-chemistry-university-of-southern-california/
LOCATION:CHEM 1640\, 930 N University\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170203T083000
DTEND;TZID=America/Detroit:20170203T170000
DTSTAMP:20260607T033553
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000069-1486110600-1486141200@micde.umich.edu
SUMMARY:Women in Data Science
DESCRIPTION:In partnership with Stanford University\, MIDAS will participate in the 2017 Women in Data Science conference\, with live speakers on campus and a simulcast of the conference proceedings from Stanford. \nSpeakers at U-M are: \n\nAmy Cohn\, Associate Professor\, Industrial and Operational Engineering\, Center for Healthcare Engineering and Patient Safety\, U-M\nStephanie Teasley\, Research Professor\, School of Information\, Learning Education and Design Lab\, U-M\nYi Lu Murphey\, Associate Dean for Graduate Education and Research\, Professor of Electrical and Computer Engineering\, U-M Dearborn\nYao Xie\, Assistant Professor\, Industrial and Systems Engineering\, Georgia Institute of Technology\, U-M\nModerator: Anna Gilbert\, Professor\, Mathematics\, Electrical Engineering and Computer Science\, U-M
URL:https://micde.umich.edu/event/women-in-data-science/
LOCATION:Michigan League\, 530 South State Street\, Ann Arbor\, MI\, 48109\, United States
GEO:42.2752282;-83.7415149
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Michigan League 530 South State Street Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 South State Street:geo:-83.7415149,42.2752282
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170202T163000
DTEND;TZID=America/Detroit:20170202T173000
DTSTAMP:20260607T033553
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000067-1486053000-1486056600@micde.umich.edu
SUMMARY:[SC2] Launch of 2017 Visualization Challenge + Presentation: Simple Data Management with Signac
DESCRIPTION:Simon Adorf (PhD Candidate\, Chem. Eng.) will give a presentation about “Simple Data Management with Signac“. \nABSTRACT: We will give a brief introduction to the signac data management framework for agile computational workflows\, followed by presenting interactive examples using jupyter notebooks hosted online. The signac framework aids in the management of large and heterogeneous data spaces. It provides a simple and robust data model to create a well-defined indexable storage layout for data and metadata. This makes it easier to operate on large data spaces\, streamlines post-processing and analysis and makes data collectively accessible. \nEveryone is encouraged to bring a laptop in order to be able to follow along. \n+ \nThe Scientific Computing Student Club\, partnered with MICDE\, the U-M 3D Lab and NVIDIA\, will officially launch the 2017 NVIDIA Visualization Challenge aimed for students to use the latest visualization tools and technology to show their research data in creative ways. The first prize will include sponsorship to show their work at the Supercomputing ’17 Visualization Showcase\, and more. Join us at the meeting to learn more. \nSponsored by \n 
URL:https://micde.umich.edu/event/sc2-launching-of-2017-visualization-challenge-presentation-simple-data-management-with-signac/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Seminar
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GEO:42.292322;-83.713272
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170127T160000
DTEND;TZID=America/Detroit:20170127T170000
DTSTAMP:20260607T033553
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000052-1485532800-1485536400@micde.umich.edu
SUMMARY:Emily Mower Provost\, PhD\, University of Michigan - MIDAS Seminar Series
DESCRIPTION:Emily Mower Provost\, PhD\nAssistant Professor\nComputer Science Engineering\nUniversity of Michigan\n  \n“Human-Centered Computing: Using Speech to Understand Behavior”\n  \nBio: Emily Mower Provost is an Assistant Professor in the Computer Science and Engineering Department (CSE) at the University of Michigan.  She received her B.S. degree in electrical engineering from Tufts University\, Boston\, MA\, in 2004 and her M.S. and PhD degrees in electrical engineering from the University of Southern California (USC)\, Los Angeles\, in 2007 and 2010\, respectively.  Her research interests are in human-centered speech and video processing and multimodal interfaces design. The goals of her research are motivated by the complexities of human emotion generation and perception. She seeks to provide a computational account of how humans perceive emotional utterances (“emotion perception”) and combines this with knowledge gleaned from perception estimation studies (“emotion recognition”) to develop systems capable of interpreting naturalistic expressions of emotion utilizing a new quantification measure (“emotion profiles”). She has published many articles in these areas and is a contributor to the winning paper in the classifier category of the 2009 Interspeech Emotion Challenge\, a best student paper at ACM Multimedia 2014\, and an honorable mention at IEEE ICMI 2016.  She received the Oscar Stern Award for Depression Research (2015) \nAbstract: Emotion and mood have intrigued researchers for generations. This fascination has permeated the engineering community\, motivating the development of affective computational models for classification\, particularly in the domain of assistive technology for mental health.  Effective treatment and monitoring for individuals with mental health disorders is an enduring societal challenge. Regular monitoring increases access to preventative treatment\, but is often cost prohibitive or infeasible given high demands placed on health care providers. Yet\, it is critical for individuals with Bipolar Disorder (BPD)\, a chronic psychiatric illness characterized by mood transitions between healthy and pathological states. Transitions into pathological states are associated with profound disruptions in personal\, social\, vocational functioning\, and emotion regulation.  I will present our ongoing work investigating new approaches in speech-based mood and emotion modeling. \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/emily-mower-provost-phd-university-of-michigan-midas-seminar-series/
LOCATION:Forum Hall\, Palmer Commons\, 100 Washtenaw Ave\, Ann Arbor\, MI\, 48109\, United States
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GEO:42.2807039;-83.7338523
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170127T120000
DTEND;TZID=America/Detroit:20170127T130000
DTSTAMP:20260607T033553
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000064-1485518400-1485522000@micde.umich.edu
SUMMARY:MICDE Seminar: Vipin Kumar\, Computer Science and Engineering\, University of Minnesota
DESCRIPTION:Bio: Vipin Kumar is a Regents Professor and holds William Norris Chair in the department of Computer Science and Engineering  at the University of Minnesota.  His research interests include data mining\, high-performance computing\, and their applications in Climate/Ecosystems and health care. He is currently leading an NSF Expedition project on understanding climate change using data driven approaches.  He has authored over 300 research articles\, and co-edited or coauthored 10 books including the widely used text book “Introduction to Parallel Computing”\, and “Introduction to Data Mining”.  Kumar co-founded SIAM International Conference on Data Mining and served as a founding co-editor-in-chief of Journal of Statistical Analysis and Data Mining (an official journal of the American Statistical Association).  Kumar is a Fellow of the ACM\, IEEE and AAAS.  He received the Distinguished Alumnus Award from the Indian Institute of Technology (IIT) Roorkee (2013) and the Distinguished Alumnus Award from the Computer Science Department\, University of Maryland College Park (2009).  Kumar’s foundational research in data mining and high performance computing has been honored by the ACM SIGKDD 2012 Innovation Award\, which is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD)\, and the 2016 IEEE Computer Society Sidney Fernbach Award\, one of IEEE Computer Society’s highest awards. \nBig Data in Climate: Opportunities and Challenges for Machine Learning and Data Mining\nThis talk will present an overview of research being done in a large interdisciplinary project on the development of novel data mining and machine learning approaches for analyzing massive amount of climate and ecosystem data now available from satellite and ground-based sensors\, and physics-based climate model simulations. These information-rich data sets offer huge potential for monitoring\, understanding\, and predicting the behavior of the Earth’s ecosystem and for advancing the science of global change. This talk will discuss challenges in analyzing such data sets and some of our research results in mapping the dynamics of surface water globally as well as detecting deforestation and fires in tropical forests using data from Earth observing satellites. \nResearch funded by the NSF Expeditions in Computing Program and  NASA \nPizza lunch will be provided
URL:https://micde.umich.edu/event/micde-seminar-vipin-kumar-computer-science-and-engineering-university-of-minnesota/
LOCATION:1008 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170111T170000
DTEND;TZID=UTC:20170111T180000
DTSTAMP:20260607T033553
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000045-1484154000-1484157600@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/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 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 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=UTC:20170109T170000
DTEND;TZID=UTC:20170109T180000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000031-1483981200-1483984800@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/
LOCATION:2001 LSA Building\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2761921;-83.7413068
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2001 LSA Building 500 State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 State St.:geo:-83.7413068,42.2761921
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20161209T110000
DTEND;TZID=UTC:20161209T120000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000044-1481281200-1481284800@micde.umich.edu
SUMMARY:MICDE Seminar: Ann Almgren\, Lawrence Berkeley National Lab
DESCRIPTION:Bio:  Ann Almgren is a senior scientist in the Computational Research Division of Lawrence Berkeley National Laboratory and the Group Lead of the Center for Computational Sciences and Engineering. Her primary research interest is in computational algorithms for solving PDE’s for fluid dynamics in a variety of application areas. Her current projects include the development and implementation of new multiphysics algorithms in high-resolution adaptive mesh codes that are designed for the latest multicore architectures.  She is a SIAM Fellow and serves on the editorial boards of CAMCoS and SIREV. \nNext-Generation AMR\nBlock-structured adaptive mesh refinement (AMR) is a powerful tool for improving the computational efficiency and reducing the memory footprint of structured-grid numerical simulations. AMR techniques have been used for over 25 years to solve increasingly complex problems.  I will give an overview of recent and planned advances in AMR algorithms and implementations at BerkeleyLab to address the challenges of next-generation multicore architectures and the complexity of multiscale\, multiphysics problems.  This will include new ways of thinking about multilevel algorithms and new approaches to data layout and load balancing\, in situ and in transit visualization and analytics\, and run-time performance modeling and control. \n  \n  \n  \n 
URL:https://micde.umich.edu/event/micde-seminar-ann-almgren-lawrence-berkeley-national-lab/
LOCATION:1013 H. H. Dow\, 2300 Hayward St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2016/08/Ann-Almgren.png
GEO:42.292998;-83.7152904
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1013 H. H. Dow 2300 Hayward St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2300 Hayward St.:geo:-83.7152904,42.292998
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161208T170000
DTEND;TZID=America/Detroit:20161208T180000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000061-1481216400-1481220000@micde.umich.edu
SUMMARY:Computational Research at Lawrence Berkeley National Lab
DESCRIPTION:MICDE invites students to a presentation by Dr. Ann Almgren from the Computational Research Division (CRD) at Lawrence Berkeley National Lab (LBL). Dr. Almgren will give an overview of CRD and what type of research goes on in applied mathematics\, scientific computing / computational science\, computer science and data science & technology. This presentation will focus on students who might be interested in postdoc positions at LBL at some point in their future. \nFood and drinks will be provided!
URL:https://micde.umich.edu/event/an-overview-of-computational-research-at-lawrence-berkeley-national-lab/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161206T180000
DTEND;TZID=America/Detroit:20161206T190000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000063-1481047200-1481050800@micde.umich.edu
SUMMARY:[SC2] SCIENTIFIC COMPUTING STUDENT CLUB – ELECTIONS AND Biological Software Team PRESENTATION
DESCRIPTION:We are having elections next Tuesday! Please consider running for a position (all are available) and attending. We will have food and drinks. \nWe will also be having a talk from the Biological Software Team. They compete at the International Genetically Engineered Machine (iGEM) Jamboree with over 300 teams from 54 countries. Last year they won a gold medal\, and the prize for Best Software Project\, and they would like to involve more people and get support in the development of their software for next year’s competition. \nMore information: \n\nLink to Officer Position Interest Form\nInformation about Protocat – Biological Software Team\n\nPlease feel free to contact any of the officers if you have questions about the officer positions\, etc.
URL:https://micde.umich.edu/event/sc2-scientific-computing-student-club-elections-and-biological-software-team-presentation/
LOCATION:1003 EECS\, 1301 Beal Ave.\, Ann Arbor\, 48109\, United States
GEO:42.292322;-83.713272
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1003 EECS 1301 Beal Ave. Ann Arbor 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:20161202T140000
DTEND;TZID=America/Detroit:20161202T150000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000062-1480687200-1480690800@micde.umich.edu
SUMMARY:MICDE/RadLab/IEEE Seminar: Levent Gürel\, ABAKUS Computing Technologies
DESCRIPTION:Bio: Prof. Levent Gürel (Fellow of IEEE\, ACES\, and EMA) received the M.S. and Ph.D. degrees from the University of Illinois at Urbana-Champaign (UIUC) in 1988 and 1991\, respectively\, in electrical and computer engineering. He worked at the IBM Thomas J. Watson Research Center\, Yorktown Heights\, New York\, in 1991-94. During his 20 years with Bilkent University\, he served as the Founding Director of the Computational Electromagnetics Research Center (BiLCEM) and a professor of electrical engineering. He is also an Adjunct Professor at UIUC. Prof. Gürel is the Founder and CEO of ABAKUS Computing Technologies\, a company that is geared towards advancing the use of cutting-edge computing technologies for solving difficult scientific problems with important real-life applications and societal benefits. He is conferred the UIUC ECE Distinguished Alumni Award in 2013 and the IEEE Harrington-Mittra Award in Computational Electromagnetics in 2015. He is an IEEE Distinguished Lecturer. He was invited to address the 2011 and 2017 ACES Conferences as a Plenary Speaker and a TEDx Conference in 2014. Among other recognitions of Prof. Gürel’s accomplishments\, the two prestigious awards from the Turkish Academy of Sciences (TUBA) in 2002 and the Scientific and Technological Research Council of Turkey (TUBITAK) in 2003 are the most notable. Since 2003\, Prof. Gürel has been serving as an associate editor for Radio Science\, IEEE Transactions on Antennas and Propagation\, IEEE Antennas and Wireless Propagation Letters\, IET Microwaves\, Antennas & Propagation\, JEMWA\, PIER\, ACES Journal\, and ACES Express. \nSolution of Extremely Large Forward and Inverse Problems in Computational Electromagnetics: BIG DATA Aspects\nAs we solve some of the largest problems in the interdisciplinary domain of computational electromagnetics\, we have to deal with various aspects of big-data issues routinely. Most recently\, we have achieved the solutions of larger than 1\,500\,000\,000×1\,500\,000\,000 (1.5 billion!) dense matrix equations! This achievement is an outcome of a multidisciplinary effort involving physical understanding of electromagnetics problems\, novel parallelization strategies (computer science)\, constructing parallel clusters (computer architecture)\, advanced mathematical methods for integral equations\, fast solvers\, iterative methods\, preconditioners\, linear algebra\, and big data. Solving such large problems on a regular basis requires the generation\, representation\, storage\, processing\, analysis\, transfer and communication\, visualization and interpretation of extremely large data sets in the order of multiple terabytes. \nAccurate formulations of real-life electromagnetics problems with integral equations necessitate the solution of extremely large dense matrix equations. Solutions of such tremendously challenging problems cannot be achieved easily\, even when using the most powerful computers with state-of-the-art petascale computing capabilities. Instead\, we have been solving some of the world’s largest integral-equation problems in computational electromagnetics by employing fast algorithms implemented on parallel computers. To achieve optimal management of multiple large data sets\, we design and implement the handling of data in various levels of cache\, memory\, and disk\, leading to meticulously designed out-of-core (OoC) schemes. That way\, we enable the solution of unprecedentedly large problems with limited amounts of DRAM. In order to avoid decelerating the solution\, we optimize communications among CPU cores\, among processors\, among nodes\, from CPU to disk (and back)\, and in the case of heterogeneous architectures\, we carefully control the data traffic to/from GPUs. Furthermore\, we employ MPI and OpenMP simultaneously in a parallelization strategy designed to reduce data duplications among processes so that vast numbers of cores can be efficiently utilized without requiring extra memory. \nI will present fast and accurate solutions of large-scale electromagnetic forward and inverse problems involving three-dimensional geometries that are larger than 1000 wavelengths using the multilevel fast multipole algorithm (MLFMA) and parallel MLFMA. Solving the world’s largest computational electromagnetics problems has important implications in terms of obtaining the solutions of future grand-challenge problems in imaging\, (subsurface)\, optics\, nanotechnology\, bio-electromagnetics\, metamaterials\, remote sensing\, as well as plethora of other disciplines of science\, e.g.\, acoustics\, elastics\, quantum mechanics\, astrophysics\, molecular dynamics\, electro-statics\, fluid dynamics\, thermodynamics. For more information: http://captains.of.computing.technology/.
URL:https://micde.umich.edu/event/micderadlabieee-seminar-levent-gurel-abakus-computing-technologies/
LOCATION:3427 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2016/11/Levent-Gurel.png
GEO:42.292322;-83.713272
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=3427 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:20161110T140000
DTEND;TZID=America/Detroit:20161110T150000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000060-1478786400-1478790000@micde.umich.edu
SUMMARY:MICDE 2016 Catalyst Grants Informational Session
DESCRIPTION:The Michigan Institute for Computational Discovery & Engineering (MICDE) seeks proposals for innovative research projects in computational science that combine elements of mathematics\, computer science\, and cyberinfrastructure. Of interest is computational science research in any emerging area\, including but not limited to (a) applications such as neuroscience\, ecology\, environmental science\, evolutionary biology\, human-made complex systems\, urban infrastructure and energy; and (b) frameworks for scientific software\, and exascale computing. Priority will be given to high-impact projects with potential to attract external funding. MICDE expects to fund 3-4 one-year projects at up to $100\,000 each. \nIn this informational session\, MICDE officials will clarify the program’s intent\, answer questions and facilitate team formation among attendees. \nPlease pre-register using this google form. You’ll need to be signed into your umich account. The session will be broadcasted via this bluejeans link. For more information go to https://live-umor-micde.pantheonsite.io/grants/catalyst-grants/
URL:https://micde.umich.edu/event/micde-2016-catalyst-grants-informational-session/
LOCATION:Michigan League\, Room D\, 911 N. University \, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.279296;-83.7375576
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Michigan League Room D 911 N. University  Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=911 N. University:geo:-83.7375576,42.279296
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161101T160000
DTEND;TZID=America/Detroit:20161101T170000
DTSTAMP:20260607T033553
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000049-1478016000-1478019600@micde.umich.edu
SUMMARY:Info Session: Data Services at U-M
DESCRIPTION:Representatives of Consulting for Statistics\, Computing and Analytics Research (CSCAR) and the U-M Library (UML) will give an overview of services that are now available to support data-intensive research on campus.  As part of the U-M Data Science Initiative\, CSCAR and UML are expanding their scopes and adding capacity to support a wide range of research involving data and computation.  This includes consulting\, workshops\, and training designed to meet basic and advanced needs in data management and analysis\, as well as specialized support for areas such as remote sensing and geospatial analyses\, and a funding program for dataset acquisitions.  Many of these services are available free of charge to U-M researchers. \nThis event will begin with overview presentations about CSCAR and Library system data services.  There will also be opportunities for researchers to discuss individualized partnerships with CSCAR and UML to advance specific data-intensive projects.  Faculty\, staff\, and students are welcome to attend.
URL:https://micde.umich.edu/event/info-session-data-services-at-u-m-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Data Science,Info Session
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20161027T080000
DTEND;TZID=UTC:20161028T170000
DTSTAMP:20260607T033553
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000023-1477555200-1477674000@micde.umich.edu
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20161026T161000
DTEND;TZID=UTC:20161026T170000
DTSTAMP:20260607T033553
CREATED:20230905T171439Z
LAST-MODIFIED:20260522T154116Z
UID:10000043-1477498200-1477501200@micde.umich.edu
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
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2016/08/Andrea-Lodi.png
GEO:42.2934378;-83.7118764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Boeing Auditorium –  1109 Francois-Xavier Bagnoud Building 1320 Beal Ave. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=1320 Beal Ave.:geo:-83.7118764,42.2934378
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161025T180000
DTEND;TZID=America/Detroit:20161025T190000
DTSTAMP:20260607T033553
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
UID:10000048-1477418400-1477422000@micde.umich.edu
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=340 West Hall 1085 South University Ave. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=1085 South University Ave.:geo:-83.7362041,42.2757556
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20161014T151000
DTEND;TZID=UTC:20161014T160000
DTSTAMP:20260607T033553
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000042-1476457800-1476460800@micde.umich.edu
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
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2016/08/Anthony-Wachs.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:20161011T180000
DTEND;TZID=America/Detroit:20161011T190000
DTSTAMP:20260607T033553
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000046-1476208800-1476212400@micde.umich.edu
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1003 EECS 1301 Beal Ave. Ann Arbor 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:20161007T160000
DTEND;TZID=America/Detroit:20161007T180000
DTSTAMP:20260607T033553
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000003-1475856000-1475863200@micde.umich.edu
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
GEO:42.2885859;-83.7122586
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BEGIN:VEVENT
DTSTART;TZID=UTC:20161006T154500
DTEND;TZID=UTC:20161006T170000
DTSTAMP:20260607T033553
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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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GEO:42.2934378;-83.7118764
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BEGIN:VEVENT
DTSTART;TZID=UTC:20160929T160000
DTEND;TZID=UTC:20160929T170000
DTSTAMP:20260607T033553
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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SUMMARY:MICDE Seminar: Jeremy Lichstein\, University of Florida
DESCRIPTION:Bio: Jeremy Lichstein is an assistant professor of Biology at the University of Florida. Professor Lichstein got his Ph. D. from Princeton University and was a postdoctoral research fellow at Princeton’s department of Ecology and Evolutionary Biology. He was the recipient of the University of Florida Excellence Award for Assistant Professor\, and was named a Florida Climate Institute Fellow for 2016-2017. His research interests are forest dynamics\, biodiversity\, carbon cycle and climate change. \nBiodiversity and the changing Earth System: computational challenges and new answers to old questions\nTerrestrial ecosystems currently offset roughly 25% of global annual anthropogenic fossil fuel emissions. However\, the fate of this carbon sink is highly uncertain\, in large part because global models diverge in their predictions of ecosystem responses to climate change\, drought\, and other perturbations. Although there is little agreement on how terrestrial ecosystems will respond to global change on decadal and longer time-scales\, there is wide consensus that current global models are overly simplistic in their representation of important ecological processes. I will discuss our current understanding of how tree functional diversity is maintained in forests\, the consequences of including more realistic levels of functional diversity in global models\, and the computational challenges that need to be overcome in order to introduce ecological realism into the Earth System Models that the scientific and policy communities rely on for climate projections. A key result that is emerging from empirical and theoretical studies is that shifts in species composition across time or space (beta diversity) have different (and sometimes opposite) effects on ecosystem stability as local (alpha) diversity. \nThis seminar is co-sponsored by the U-M department of Ecology and Evolutionary Biology
URL:https://micde.umich.edu/event/micde-2016-fall-seminar-series-jeremy-lichstein-university-of-florida/
LOCATION:1210 Chemistry & Willard H Dow Laboratory\, 930 University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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GEO:42.2780183;-83.7370191
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BEGIN:VEVENT
DTSTART;TZID=UTC:20160922T160000
DTEND;TZID=UTC:20160922T170000
DTSTAMP:20260607T033553
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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SUMMARY:MICDE Seminar: Rob Gardner\, University of Chicago
DESCRIPTION:Bio: Robert Gardner is a Senior Scientist at the Computation Institute from the University of Chicago\,  and aSenior Scientist in the Enrico Fermi Institute. He spent his early academic career doing experimental high-energy physics research at different universities in the Midwest. He has been a member of the ATLAS experiment using the Large Hadron Collider at the CERN Laboratory\, Geneva\, Switzerland since 1998. His experimental work led him to specialize in developing and improving distributed computing technologies necessary for discoveries at the frontier of particle physics. He was instrumental in developing early research computing grids in the U.S.: the International Virtual Data Grid Laboratory (iVDGL)\, and the first deployment of the Open Science Grid (OSG) (NSF\, Department of Energy). He have also generated systems for metrics collection for distributed systems (Grid Telemetry\, PI\, NSF-ITR). Currently\, he directs the ATLAS Midwest Tier2 Center\, which is comprised of integrated computing facilities from the University of Chicago\, Indiana University\, and the University of Illinois. \nLeadership cyberinfrastructure for science and the humanities\nIn the past two decades high energy physics transformed its computing model from one relying on a single high performance computing center at the host laboratory to one incorporating resources distributed across institutional boundaries and geographic regions. Given the complexity of detectors and scale of data\, the international collaborations of the Large Hadron Collider at CERN demanded it. By removing barriers to resource sharing\, the resulting data and computation platform democratized the physics process across collaborations. Accelerated modes of scientific discovery by thousands of physicists were forged using hundreds of data centers linked by very high bandwidth networks. Meanwhile the explosion of commercial\, social and enterprise data has driven innovation in resource abstraction and the creation of new service platforms\, offering fresh opportunities to accelerate science and intellectual inquiry at all scales and across all domains. In this talk I’ll discuss the strategic significance that cyberinfrastructure technology plays in this regard and describe models for creating ubiquitous “substrates” that remove obstacles to connecting campuses\, facilities\, instruments and researchers. \nThis seminar is co-sponsored by the U-M department of Physics
URL:https://micde.umich.edu/event/micde-2016-fall-seminar-series-rob-gardner-university-of-chicago/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
GEO:42.2757556;-83.7362041
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BEGIN:VEVENT
DTSTART;TZID=UTC:20160921T170000
DTEND;TZID=UTC:20160921T180000
DTSTAMP:20260607T033553
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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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. This year we will offer a new practicum option through the Multidisciplinary Design Program.\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-2/
LOCATION:2001 LSA Building\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2761921;-83.7413068
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BEGIN:VEVENT
DTSTART;TZID=UTC:20160919T170000
DTEND;TZID=UTC:20160919T180000
DTSTAMP:20260607T033553
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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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. This year we will offer a new practicum option through the Multidisciplinary Design Program.\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-2/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Info Session
GEO:42.2914823;-83.7138452
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20160916T080000
DTEND;TZID=America/Detroit:20160916T190000
DTSTAMP:20260607T033553
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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SUMMARY:Claude E. Shannon Centennial Symposium
DESCRIPTION:Claude E. Shannon was born in Petoskey\, MI and grew up in Gaylord\, MI. After graduating from the University of Michigan with degrees in electrical engineering and mathematics in 1936\, he went on to publish a series of papers that laid the foundation for modern information theory. The University of Michigan is celebrating the 100th birthday of Claude E. Shannon\, widely recognized as the father of information theory with a Shannon Centennial Symposium on Sept. 16\, 2016. \nThe symposium will consist of two poster sessions and four plenary talks by eminent leaders in the field of information theory. (Promotional poster can be downloaded here.) \nRegistration is required; to register and to sign up to participate in the poster session\, please fill out this form. \nSpace is limited\, so please register early! The deadline for poster submission is Sept. 9. Posters will be selected based on submitted title\, abstract and relevance to Shannon’s scientific contributions. \nPlenary speakers are: \n\nABBAS EL GAMAL\, STANFORD UNIVERSITY\nEMMANUEL CANDES\, STANFORD UNIVERSITY\nMICHELLE EFFROS\, CALIFORNIA INSTITUTE OF TECHNOLOGY\nROBERT CALDERBANK\, DUKE UNIVERSITY\n\n\n\n\n\n\n\nThe Shannon Centennial Celebration is supported by the U-M College of Engineering\, the ECE division of the U-M EECS Department\, the Michigan Institute for Data Science (MIDAS)\, and the IEEE Information Theory Society. \nThe co-organizers are Hye Won Chung\, Al Hero\, David Neuhoff and Sandeep Pradhan.
URL:https://micde.umich.edu/event/claude-e-shannon-centennial-symposium/
LOCATION:Rackham Building\, 4th Floor\, 915 E. Washington\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Seminar
GEO:42.2807892;-83.7381556
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