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DTSTART:20160313T070000
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DTSTART;TZID=America/Detroit:20171016T090000
DTEND;TZID=America/Detroit:20171016T130000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000094-1508144400-1508158800@micde.umich.edu
SUMMARY:[MICDE] 1st Workshop on Computational Neuroscience
DESCRIPTION:MICDE and the Graduate Program in Neuroscience have organized the first Computational Neuroscience Workshop. The goal of the event is to bring together the U-M community of neuroscientists who use computational methods in their research\, and to start building new bridges across disciplines and departments. For more information and to register…
URL:https://micde.umich.edu/event/micde-1st-workshop-on-computational-neuroscience/
LOCATION:Space 2435 North Quad\, 105 S. State St.\, Ann Arbor\, MI\, 48109\, United States
GEO:42.2807324;-83.7400253
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Space 2435 North Quad 105 S. State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=105 S. State St.:geo:-83.7400253,42.2807324
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171013T180000
DTEND;TZID=America/Detroit:20171013T190000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000616-1507917600-1507921200@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-8/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/04/SC2_simple.png
GEO:42.292322;-83.713272
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1311 EECS 1301 Beal Ave. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=1301 Beal Ave.:geo:-83.713272,42.292322
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171006T180000
DTEND;TZID=America/Detroit:20171006T190000
DTSTAMP:20260607T010518
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000615-1507312800-1507316400@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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GEO:42.292322;-83.713272
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1311 EECS 1301 Beal Ave. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=1301 Beal Ave.:geo:-83.713272,42.292322
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171003T160000
DTEND;TZID=America/Detroit:20171003T170000
DTSTAMP:20260607T010518
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000089-1507046400-1507050000@micde.umich.edu
SUMMARY:MICDE Seminar: Margaret Cheung\, Department of Physics\, University of Houston
DESCRIPTION:Bio: Margaret Cheung is an Associate Professor of Physics at the University of Houston. She graduated from the National Taiwan University with a bachelor’s degree in chemistry and received her Ph.D. in physics from the University of California\, San Diego. She carried out theoretical biological physics and bioinformatics research as a Sloan Postdoctoral Fellow at the University of Maryland and started her lab at the University of Houston in 2006. Professor Cheung’s research is in the field of protein folding inside a cell\, calmodulin dependent calcium signaling\, and quantum efficiency in artificial photosynthetic materials. She is particularly interested in developing coarse-grained models for protein dynamics in crowded systems\, creating multi-physics models that bridge dynamics across wide temporal and spatial scales\, and designing computational algorithms that effectively integrate novel high-performance resources. These systems can then be applied for understanding of biological function and for developing therapeutic strategies. She is a fellow of the American Physical Society and a Senior Scientist at the Center for Theoretical Biological Physics at Rice University. \nMolecular Underpinning of Postsynaptic Calmodulin-dependent Calcium Signaling\nCalcium (Ca2+) is exquisitely utilized by a cell for transducing external stimuli through its gradient of extracellular (~1000 μM) and intracellular (~0.1 μM) concentration. A broad spectrum of Ca2+ signals are encoded by protein calmodulin (CaM) through specific binding with various targets regulating CaM-dependent Ca2+ signaling pathways in neurons. I will focus on binding between CaM and two specific targets\, Ca2+/CaM-dependent protein kinase II (CaMKII) and neurogranin (Ng)\, as they antagonistically regulate CaM-dependent Ca2+ signaling pathways in neurons. I will show the impact of bound calmodulin (CaM)-target compound structure on the affinity of calcium (Ca2+) by integrating coarse-grained models and all-atomistic simulations with non-equilibrium physics. We discovered the molecular underpinnings of lowered affinity of Ca2+ for CaM in the presence of Ng by showing that the N-terminal acidic region of Ng peptide pries open the β-sheet structure between the Ca2+ binding loops particularly at C-domain of CaM\, enabling Ca2+ release. In contrast\, CaMKII peptide increases Ca2+ affinity for the C-domain of CaM by stabilizing the two Ca2+ binding loops. Through distinctive structural differences in the bound complexes of apoCaM-Ng13-49 and holoCaM-CaMKII\, CaM’s affinity for Ca2+ is delineated by its progressive mechanism of target binding. I will discuss them in the context of evolution and in the crowded environment. \nProf. Cheung is being hosted by Prof. Geva (Chemistry)
URL:https://micde.umich.edu/event/micde-seminar-margaret-cheung-department-of-physics-university-of-houston/
LOCATION:CHEM 1640\, 930 N University\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2017/08/Margaret-Cheung.png
GEO:42.2780183;-83.7370191
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=CHEM 1640 930 N University Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=930 N University:geo:-83.7370191,42.2780183
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170925T170000
DTEND;TZID=UTC:20170925T180000
DTSTAMP:20260607T010518
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000055-1506358800-1506362400@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-f2017/
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=America/Detroit:20170922T170000
DTEND;TZID=America/Detroit:20170922T180000
DTSTAMP:20260607T010518
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000103-1506099600-1506103200@micde.umich.edu
SUMMARY:MIDAS Seminar: Jimmy Soni & Rob Goodman\, authors of "A Mind at Play: How Claude Shannon Invented the Information Age"
DESCRIPTION:Authors Jimmy Soni and Rob Goodman will talk about their new book on U-M alum Claude Shannon: “A Mind at Play: How Claude Shannon Invented the Information Age.” \nThe talk will be followed by a book signing. \nJimmy Soni is an author and editor. He has worked as an editor at The New York Observer and The Washington Examiner. He has worked as a speechwriter\, and his writing and commentary have appeared in Slate\, The Atlantic\, and CNN. He is a graduate of Duke University and was named to the Forbes 30 Under 30. With Rob Goodman\, he is the coauthor of Rome’s Last Citizen: The Life and Legacy of Cato\, Mortal Enemy of Caesar and A Mind at Play: How Claude Shannon Invented the Information Age. \nRob Goodman is a doctoral candidate at Columbia University and a former congressional speechwriter. He has written for Slate\, The Atlantic\, Politico Magazine\, and The Chronicle of Higher Education. His scholarly work has appeared in History of Political Thought\, the Kennedy Institute of Ethics Journal\, and The Journal of Medicine and Philosophy. With Jimmy Soni\, he is the coauthor of Rome’s Last Citizen: The Life and Legacy of Cato\, Mortal Enemy of Caesar and A Mind at Play: How Claude Shannon Invented the Information Age.
URL:https://micde.umich.edu/event/midas-seminar-jimmy-soni-rob-goodman-authors-of-a-mind-at-play-how-claude-shannon-invented-the-information-age/
LOCATION:Rackham Building\, 4th Floor\, 915 E. Washington\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MIDAS Seminar Series
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building 4th Floor 915 E. Washington Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170921T170000
DTEND;TZID=UTC:20170921T180000
DTSTAMP:20260607T010518
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000056-1506013200-1506016800@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-2017f/
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=America/Detroit:20170713T090000
DTEND;TZID=America/Detroit:20170713T173000
DTSTAMP:20260607T010518
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000084-1499936400-1499967000@micde.umich.edu
SUMMARY:Symposium: Advances on Turbulence Modeling
DESCRIPTION:The Center for Data-Driven Computational Physics and NASA are sponsoring the event to discuss the state­ of­ the ­art in turbulence modeling from an academic and an industrial perspective\, and place some of the newer developments in RANS modeling (such as uncertainty quantification\, data­-driven modeling\, etc.) in the context of main­stream turbulence modeling. \nSpeakers include: \n\nFlorian Menter\, Ansys\nSuad Jakirlic\, TU Darmstadt\nRobert Moser\, U. Texas\n\nFor more details and to register go to http://turbgate.engin.umich.edu/symposium/
URL:https://micde.umich.edu/event/symposium-advances-on-turbulence-modeling/2017-07-13/
LOCATION:MI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170712T090000
DTEND;TZID=America/Detroit:20170712T173000
DTSTAMP:20260607T010518
CREATED:20230905T171424Z
LAST-MODIFIED:20230905T171424Z
UID:10000083-1499850000-1499880600@micde.umich.edu
SUMMARY:Symposium: Advances on Turbulence Modeling
DESCRIPTION:The Center for Data-Driven Computational Physics and NASA are sponsoring the event to discuss the state­ of­ the ­art in turbulence modeling from an academic and an industrial perspective\, and place some of the newer developments in RANS modeling (such as uncertainty quantification\, data­-driven modeling\, etc.) in the context of main­stream turbulence modeling. \nSpeakers include: \n\nFlorian Menter\, Ansys\nSuad Jakirlic\, TU Darmstadt\nRobert Moser\, U. Texas\n\nFor more details and to register go to http://turbgate.engin.umich.edu/symposium/
URL:https://micde.umich.edu/event/symposium-advances-on-turbulence-modeling-2-2/
LOCATION:MI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170711T090000
DTEND;TZID=America/Detroit:20170711T173000
DTSTAMP:20260607T010518
CREATED:20230905T171437Z
LAST-MODIFIED:20230905T171437Z
UID:10000082-1499763600-1499794200@micde.umich.edu
SUMMARY:Symposium: Advances on Turbulence Modeling
DESCRIPTION:The Center for Data-Driven Computational Physics and NASA are sponsoring the event to discuss the state­ of­ the ­art in turbulence modeling from an academic and an industrial perspective\, and place some of the newer developments in RANS modeling (such as uncertainty quantification\, data­-driven modeling\, etc.) in the context of main­stream turbulence modeling. \nSpeakers include: \n\nFlorian Menter\, Ansys\nSuad Jakirlic\, TU Darmstadt\nRobert Moser\, U. Texas\n\nFor more details and to register go to http://turbgate.engin.umich.edu/symposium/
URL:https://micde.umich.edu/event/symposium-advances-on-turbulence-modeling-2/
LOCATION:MI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170628T140000
DTEND;TZID=America/Detroit:20170628T150000
DTSTAMP:20260607T010518
CREATED:20230905T171437Z
LAST-MODIFIED:20230905T171437Z
UID:10000085-1498658400-1498662000@micde.umich.edu
SUMMARY:ARC-TS Town Hall on Next Generation HPC Cluster
DESCRIPTION:The University of Michigan is beginning the process of building our next generation HPC platform\, “Big House.”  Flux\, the shared HPC cluster\, has reached the end of its useful life. Flux has served us well for more than five years\, but as we move forward with replacement\, we want to make sure we’re meeting the needs of the research community. \nARC-TS will be holding a series of town halls to take input from faculty and researchers on the next HPC platform to be built by the University.  These town halls are open to anyone. \nYour input will help to ensure that U-M is on course for providing HPC\, so we hope you will make time to attend one of these sessions. If you cannot attend\, please email hpc-support@umich.edu with any input you want to share.
URL:https://micde.umich.edu/event/arc-ts-town-hall-on-next-generation-hpc-cluster-4/
LOCATION:Room 3114\, Med Sci I\, 1301 Catherine St.\, Ann Arbor\, MI\, United States
CATEGORIES:Flux,High Performance Computing
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
GEO:42.2839264;-83.7322658
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Room 3114 Med Sci I 1301 Catherine St. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1301 Catherine St.:geo:-83.7322658,42.2839264
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170627T100000
DTEND;TZID=America/Detroit:20170627T110000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000086-1498557600-1498561200@micde.umich.edu
SUMMARY:ARC-TS Town Hall on Next Generation HPC Cluster
DESCRIPTION:The University of Michigan is beginning the process of building our next generation HPC platform\, “Big House.”  Flux\, the shared HPC cluster\, has reached the end of its useful life. Flux has served us well for more than five years\, but as we move forward with replacement\, we want to make sure we’re meeting the needs of the research community. \nARC-TS will be holding a series of town halls to take input from faculty and researchers on the next HPC platform to be built by the University.  These town halls are open to anyone. \nYour input will help to ensure that U-M is on course for providing HPC\, so we hope you will make time to attend one of these sessions. If you cannot attend\, please email hpc-support@umich.edu with any input you want to share.
URL:https://micde.umich.edu/event/arc-ts-town-hall-on-next-generation-hpc-cluster-3/
LOCATION:MI
CATEGORIES:Flux,High Performance Computing
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170621T110000
DTEND;TZID=America/Detroit:20170621T120000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000087-1498042800-1498046400@micde.umich.edu
SUMMARY:ARC-TS Town Hall on Next Generation HPC Cluster
DESCRIPTION:The University of Michigan is beginning the process of building our next generation HPC platform\, “Big House.”  Flux\, the shared HPC cluster\, has reached the end of its useful life. Flux has served us well for more than five years\, but as we move forward with replacement\, we want to make sure we’re meeting the needs of the research community. \nARC-TS will be holding a series of town halls to take input from faculty and researchers on the next HPC platform to be built by the University.  These town halls are open to anyone. \nYour input will help to ensure that U-M is on course for providing HPC\, so we hope you will make time to attend one of these sessions. If you cannot attend\, please email hpc-support@umich.edu with any input you want to share.
URL:https://micde.umich.edu/event/arc-ts-town-hall-on-next-generation-hpc-cluster-2/
LOCATION:NCRC Building 300\, Room 376\, 1600 Huron Parkway\, Ann Arbor\, MI\, United States
CATEGORIES:Flux,High Performance Computing
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
GEO:42.2996792;-83.7033068
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=NCRC Building 300 Room 376 1600 Huron Parkway Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1600 Huron Parkway:geo:-83.7033068,42.2996792
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170620T090000
DTEND;TZID=America/Detroit:20170620T100000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000088-1497949200-1497952800@micde.umich.edu
SUMMARY:ARC-TS Town Hall on Next Generation HPC Cluster
DESCRIPTION:The University of Michigan is beginning the process of building our next generation HPC platform\, “Big House.”  Flux\, the shared HPC cluster\, has reached the end of its useful life. Flux has served us well for more than five years\, but as we move forward with replacement\, we want to make sure we’re meeting the needs of the research community. \nARC-TS will be holding a series of town halls to take input from faculty and researchers on the next HPC platform to be built by the University.  These town halls are open to anyone. \nYour input will help to ensure that U-M is on course for providing HPC\, so we hope you will make time to attend one of these sessions. If you cannot attend\, please email hpc-support@umich.edu with any input you want to share.
URL:https://micde.umich.edu/event/arc-ts-town-hall-on-next-generation-hpc-cluster/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Flux,High Performance Computing
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
GEO:42.2914823;-83.7138452
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Johnson Rooms Lurie Engineering Center 3rd Floor LEC 3213ABC 1221 Beal Ave. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1221 Beal Ave.:geo:-83.7138452,42.2914823
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170518T130000
DTEND;TZID=America/Detroit:20170519T170000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000080-1495112400-1495213200@micde.umich.edu
SUMMARY:Symposium of the Center for Network and Storage-Enabled Collaborative Computational Science
DESCRIPTION:The Center for Network and Storage Enabled Collaborative Computational Science is hosting a 1.5 day symposium at the University of Michigan exploring the themes the Center was founded on. The Center seeks to address the challenges of extracting scientific results collaboratively from large\, distributed or diverse data. For more information please visit https://live-umor-micde.pantheonsite.io/centers/cnseccs/2017-symposium/
URL:https://micde.umich.edu/event/symposium-of-the-center-for-network-and-storage-enabled-collaborative-computational-science/
LOCATION:Space 2435 North Quad\, 105 S. State St.\, Ann Arbor\, MI\, 48109\, United States
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/networking.jpg
GEO:42.2807324;-83.7400253
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Space 2435 North Quad 105 S. State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=105 S. State St.:geo:-83.7400253,42.2807324
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170424T110000
DTEND;TZID=America/Detroit:20170424T130000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000081-1493031600-1493038800@micde.umich.edu
SUMMARY:MIDAS Working Group on NSF solicitation for Big Data Spokes
DESCRIPTION:This working group is organized by MIDAS to respond to the NSF Big Data Spokes funding solicitation (BD Spokes).   \nAgenda: \n\nA brief presentation about the funding opportunity and the background of the regional BD Hubs (Midwest\, Northeast\, South and West) and existing Spokes\nDiscussion of ideas of new Spokes and forming collaborative teams (within and outside of UM)\nDiscussion on aligning and working with regional BD hubs\n\nThe BD Spokes will work with regional BD hubs and existing spokes to accelerate progress towards societal grand challenges in regional and national priority areas\, help automate the Big Data lifecycle\, enable access to and increase the use of important data sets\, and contribute to education and training.  The focus areas specified by NSF include: Education; Data Intensive Research in the Social\, Behavioral\, and Economic Sciences; Data-driven Research in Chemistry; Neuroscience; Data Analytics for Security; Replicability and Reproducibility in Data Science.  All researchers interested in proposing or collaborating on new BD Spokes are welcome to our working group. \nImportant Dates: \n\nMay 17\, 2017: University of Michigan internal deadline for declaring intent.  NSF allows only one proposal from each university as the lead institution\n\n\nSept. 18\, 2017: full proposal due to NSF\n\nPlease RSVP.  For questions\, please contact Jing Liu\, MIDAS research specialist (ljing@umich.edu; 734-764-2750).  
URL:https://micde.umich.edu/event/midas-working-group-on-nsf-solicitation-for-big-data-spokes/
LOCATION:MIDAS – SPH I\, Suite 7625\, 1415 Washington Heights\, Ann Arbor\, MI\, 48109-2029\, United States
CATEGORIES:Data Science,Workshops
GEO:42.2804938;-83.7300222
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170418T083000
DTEND;TZID=America/Detroit:20170418T170000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000047-1492504200-1492534800@micde.umich.edu
SUMMARY:2017 MICDE Annual Symposium
DESCRIPTION:Please join us for the Michigan Institute for Computational Discovery and Engineering 2017 Symposium. The event features eminent scientists from around the world and the U-M campus. The symposium this year focuses on the “New Era of Data-Enabled Computational Science.” \nSpeakers: \n\nFrederica Darema — Director\, Air Force Office of Scientific Research\nGeorge Karniadakis —  Professor of Applied Mathematics\, Brown University\nTinsley Oden — Director of the Institute for Computational Engineering and Sciences\, V.P. for Research\, University of Texas at Austin\nKaren Willcox — Professor of Aerospace and Aeronautics\, Massachusetts Institute of Technology\, co-Director of MIT Center for Computational Engineering\nJacqueline H. Chen — Distinguished Member of Technical Staff at the Combustion Research Facility\, Sandia National Laboratories\nLaura Balzano — Assistant Professor\, Electrical Engineering and Computer Science\, U-M\nEmanuel Gull — Assistant Professor\, Physics\n\nThe symposium features a poster competition and more. For more information and to register go to https://live-umor-micde.pantheonsite.io/symposium17/ \nPast Symposia\n2016 MICDE Annual Symposium \nResearch Computing Symposium Fall 2014  \n 
URL:https://micde.umich.edu/event/2017-micde-annual-symposium/
LOCATION:Rackham Building\, 4th Floor\, 915 E. Washington\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building 4th Floor 915 E. Washington Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170317T110000
DTEND;TZID=America/Detroit:20170317T120000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000072-1489748400-1489752000@micde.umich.edu
SUMMARY:MICDE Seminar: Yongjie Jessica Zhang\, Mechanical Engineering and Biomedical Engineering\, Carnegie Mellon University
DESCRIPTION:Bio: Yongjie Jessica Zhang is a Professor in Mechanical Engineering at Carnegie Mellon University with a courtesy appointment in Biomedical Engineering. She received her B.Eng. in Automotive Engineering\, and M.Eng. in Engineering Mechanics from Tsinghua University\, China; and M.Eng. in Aerospace Engineering and Engineering Mechanics and Ph.D. in Computational Engineering and Sciences from Institute for Computational Engineering and Sciences (ICES)\, The University of Texas at Austin. After staying two years at ICES as a postdoctoral fellow\, she joined CMU in 2007 as an assistant professor\, and then was promoted to an associate professor in 2012 and a full professor in 2016. Her research interests include computational geometry\, mesh generation\, computer graphics\, visualization\, finite element method\, isogeometric analysis and their application in computational biomedicine\, material sciences and engineering. She has co-authored over 140 publications in peer-reviewed journals and conference proceedings\, and received the Autodesk Best Paper Award 1st Place in SIAM Conference on Solid and Physical Modeling 2015\, the Best Paper Award in CompIMAGE’16 conference and one of the 5 Most Highly Cited Papers Published in Computer-Aided Design during 2014-2016. She recently published a book entitled “Geometric Modeling and Mesh Generation from Scanned Images” with CRC Press\, Taylor & Francis Group. She is the recipient of Presidential Early Career Award for Scientists and Engineers\, NSF CAREER Award\, Office of Naval Research Young Investigator Award\, USACM Gallagher Young Investigator Award\, Clarence H. Adamson Career Faculty Fellow in Mechanical Engineering\, George Tallman Ladd Research Award\, and Donald L. & Rhonda Struminger Faculty Fellow. \nImage-Based Mesh Generation and Volumetric T-Spline Modeling for Isogeometric Analysis with Engineering Applications\nWith finite element method and scanning technology seeing increased use in many research areas\, there is an emerging need for high-fidelity geometric modeling and mesh generation of spatially realistic domains. This talk will highlight research in three areas: image-based mesh generation for complicated domains\, trivariate spline modeling for isogeometric analysis\, as well as biomedical\, material sciences and engineering applications. First Prof. Zhang will present advances and challenges in image-based geometric modeling and meshing along with a comprehensive computational framework\, which integrates image processing\, geometric modeling\, mesh generation and quality improvement with multi-scale analysis at molecular\, cellular\, tissue and organ scales. Different from other existing methods\, the presented framework supports five unique features: high-fidelity meshing for heterogeneous domains with topology ambiguity resolved; multiscale geometric modeling for biomolecular complexes; automatic all-hexahedral mesh generation with sharp feature preservation; robust quality improvement for non-manifold meshes; and guaranteed-quality meshing. These unique capabilities enable accurate\, stable\, and efficient mechanics calculation for many biomedicine\, materials science and engineering applications. As a new advancement of traditional finite element method\, isogeometric analysis (IGA) was proposed to integrate design and analysis. In the second part of this talk\, she will present her latest research on volumetric T-spline parameterization for IGA applications. For arbitrary-topology objects\, we first build a polycube whose topology is equivalent to the input geometry and it serves as the parametric domain for the following trivariate T-spline construction. Boolean operations\, geometry skeleton and centroidal Voronoi tessellation based surface segmentation are used to preserve surface features. A parametric mapping is then used to build a one-to-one correspondence between the input geometry and the polycube boundary. After that\, we choose the deformed octree subdivision of the polycube as the initial T-mesh\, and make it valid through pillowing\, quality improvement\, and applying templates or truncated subdivision schemes to handle extraordinary nodes. Weighted and truncated T-spline basis functions are derived to enable analysis-suitability\, including partition of unity and linear independence. The developed pipelines have been incorporated into commercial software such as Rhino and Abaqus. \nProf. Zhang is being hosted by Prof. Garikipati (Mechanical Engineering)
URL:https://micde.umich.edu/event/micde-seminar-yongjie-jessica-zhang-mechanical-engineering-and-biomedical-engineering-carnegie-mellon-university/
LOCATION:1200 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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GEO:42.292322;-83.713272
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170308T140000
DTEND;TZID=America/Detroit:20170308T150000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000071-1488981600-1488985200@micde.umich.edu
SUMMARY:SC2/MICDE Seminar: Eric Jankowski\, Materials Science and Engineering\, Boise State University
DESCRIPTION:Bio: Eric Jankowski is an assistant professor of Materials Science and Engineering at Boise State University. He earned his PhD in Chemical Engineering from the University of Michigan in 2012\, where he developed computational tools to study the self-assembly of nanoparticles. These tools leveraged graphics processors to accelerate computations and provided insight into systems of both theoretical and practical importance. Dr. Jankowski began focusing on renewable energy generation during his postdoctoral positions at the University of Colorado and the National Renewable Energy Laboratory. At these postdocs\, Dr. Jankowski applied techniques he developed during his thesis to understand factors that determine the ordering of molecules in organic solar cells. \nThis is a joint seminar of the Scientific Computing Student Club and MICDE\, sponsored in part by U-M Rackham Graduate School.   \n  \nCobbling together computational components to engineer inexpensive plastic solar panels\nIn order to meet projected global energy demands over the next 25 years\, the equivalent of building a 1GW power plant each day is needed. Existing clean power generation technologies can meet this demand in principle\, but their relatively large short-term costs have limited widespread adoption. In this work we explain manufacturing strategies for organic (plastic) solar panels that overcome economic barriers to adoption by optimizing the structure of the organic active layer responsible for generating electricity. We perform coarse-grained molecular dynamics simulations accelerated with graphics processing units to determine the thermodynamically stable morphologies for a variety of candidate ingredients. Using these morphologies we perform kinetic Monte Carlo charge transport simulations to determine which morphologies are better candidates for solar devices. The simulation pipeline developed here combines computational tools developed for solving unrelated problems\, and we discuss the evolving landscape of scientific computing education and how it overlaps with this work. \n 
URL:https://micde.umich.edu/event/sc2micde-seminar-eric-jankowski-material-science-and-engineering-boise-state-university/
LOCATION:2540 G.G. Brown (2350 Hayward St.)\, 2300 Hayward St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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GEO:42.292998;-83.7152904
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170307T160000
DTEND;TZID=America/Detroit:20170307T170000
DTSTAMP:20260607T010518
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000073-1488902400-1488906000@micde.umich.edu
SUMMARY:MICDE Seminar: Michael Eldred\, Computation\, Computers\, Information\, and Mathematics Center\, Sandia National Laboratories
DESCRIPTION:Bio: Michael Eldred is a Distinguished Member of the Technical Staff in the Optimization and Uncertainty Quantification Department within the Computation\, Computers\, Information\, and Mathematics Center at Sandia National Laboratories. He received his B.S. in Aerospace Engineering from Virginia Tech in 1989\, his M.S.E. and Ph.D. in Aerospace Engineering from the University of Michigan in 1990 and 1993. Mike led the DAKOTA project\, a “… toolkit that provides a flexible\, extensible interface between analysis codes and iterative systems analysis methods…”\, for 15 years (1994-2009) and now leads algorithm research and development activities related to DAKOTA. Mike’s research interests include uncertainty quantification\, design under uncertainty\, surrogate-based optimization\, and high-performance computing\, with application to stockpile stewardship and energy initiatives through the NNSA ASC\, DOE ASCR\, and DOE SciDAC programs. \nMike is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a member of the Society for Industrial and Applied Mathematics (SIAM)\, the International Society for Structural and Multidisciplinary Optimization (ISSMO)\, and the United States Association for Computational Mechanics (USACM). He currently serves as a member of the AIAA Nondeterministic Approaches Technical Committee and on the editorial board for the International Journal for Uncertainty Quantification. A number of his publications are available on the DAKOTA web site. \nTitle: Multilevel-Multifidelity Approaches for Uncertainty Quantification and Design\nIn the simulation of complex physics\, multiple model forms of varying fidelity and resolution are commonly available. In computational fluid dynamics\, for example\, common model fidelities include potential flow\, inviscid Euler\, Reynolds-averaged Navier-Stokes\, and large eddy simulation\, which may be further augmented by subgrid-scale model selections and spatio-temporal discretization levels. In this presentation\, we focus on novel algorithms that simultaneously exploit multiple model forms and multiple resolutions\, both for uncertainty quantification (UQ) and for optimization under uncertainty (OUU). These hybrid methods exploit multifidelity methods across the model form hierarchy in combination with multilevel accelerators across an associated discretization hierarchy\, manifesting as multilevel control variate Monte Carlo and multilevel polynomial expansion methods in the UQ case and recursive trust-region and multigrid optimization in the OUU case. These techniques will be demonstrated for both model problems and engineered systems\, and will be placed within the broader context of algorithm research and development within the Dakota project at Sandia. \nDr. Eldred is being hosted by Prof. Duraisamy (Aerospace Engineering) 
URL:https://micde.umich.edu/event/micde-seminar-michael-eldredcomputation-computers-information-and-mathematics-center-sandia-national-laboratories/
LOCATION:1008 FXB\, 1320 Beal Ave\, Ann Arbor\, MI\, 48109
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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GEO:42.2934832;-83.7119819
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1008 FXB 1320 Beal Ave Ann Arbor MI 48109;X-APPLE-RADIUS=500;X-TITLE=1320 Beal Ave:geo:-83.7119819,42.2934832
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170224T160000
DTEND;TZID=America/Detroit:20170224T170000
DTSTAMP:20260607T010518
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000054-1487952000-1487955600@micde.umich.edu
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
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/perea-jose.jpg
GEO:42.2885859;-83.7122586
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Gerald Ford Library 1000 Beal Avenue Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=1000 Beal Avenue:geo:-83.7122586,42.2885859
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170217T160000
DTEND;TZID=America/Detroit:20170217T170000
DTSTAMP:20260607T010518
CREATED:20230905T171440Z
LAST-MODIFIED:20260522T153310Z
UID:10000070-1487347200-1487350800@micde.umich.edu
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
GEO:42.2807039;-83.7338523
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Forum Hall Palmer Commons 100 Washtenaw Ave Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=100 Washtenaw Ave:geo:-83.7338523,42.2807039
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170216T170000
DTEND;TZID=America/Detroit:20170216T180000
DTSTAMP:20260607T010518
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000068-1487264400-1487268000@micde.umich.edu
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/
LOCATION:MI
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/04/UM3DLabLogo.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170214T150000
DTEND;TZID=America/Detroit:20170214T160000
DTSTAMP:20260607T010518
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000066-1487084400-1487088000@micde.umich.edu
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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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=America/Detroit:20170203T160000
DTEND;TZID=America/Detroit:20170203T170000
DTSTAMP:20260607T010518
CREATED:20230905T171440Z
LAST-MODIFIED:20260522T142232Z
UID:10000053-1486137600-1486141200@micde.umich.edu
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
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/yao_xie_2013_3.jpg
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Amphitheatre 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=America/Detroit:20170203T100000
DTEND;TZID=America/Detroit:20170203T110000
DTSTAMP:20260607T010518
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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GEO:42.2780183;-83.7370191
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=CHEM 1640 930 N University Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=930 N University:geo:-83.7370191,42.2780183
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170203T083000
DTEND;TZID=America/Detroit:20170203T170000
DTSTAMP:20260607T010518
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
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DTSTART;TZID=America/Detroit:20170202T163000
DTEND;TZID=America/Detroit:20170202T173000
DTSTAMP:20260607T010518
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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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DTSTART;TZID=America/Detroit:20170127T160000
DTEND;TZID=America/Detroit:20170127T170000
DTSTAMP:20260607T010518
CREATED:20230905T171439Z
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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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DTSTART;TZID=America/Detroit:20170127T120000
DTEND;TZID=America/Detroit:20170127T130000
DTSTAMP:20260607T010518
CREATED:20230905T171439Z
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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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