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DTSTART;TZID=America/Detroit:20220401T150000
DTEND;TZID=America/Detroit:20220401T160000
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SUMMARY:MICDE/AIM Seminar: Miguel Moyers-González\, Associate Professor of Mathematics and Statistics\, University of Canterbury
DESCRIPTION:WATCH THE RECORDING HERE.\nBio: Dr. Miguel Moyers-González completed his B.Sc. at the Instituto Tecnológico Autónomo de México and his M.Sc and Ph.D. in Mathematics at the University of British Columbia. He was a postdoctoral fellow at the Université de Montréal before joining the University of Durham as a Lecturer in Applied Mathematics. He is presently an Associate Professor in the School of Mathematics & Statistics at the University of Canterbury. Dr. Moyers-Gonzalez primary research interests are in the mathematical analysis and computation of complex fluid flows. In broad terms\, the problems he has studied involve the combination of physical understanding\, i.e. of a particular application\, coupled with both theoretical and computational techniques for partial differential equations. \nInferring physical properties and topographical features from free surface flow data\nThe accurate modelling of geophysical flows often requires information that is difficult to measure and therefore poorly quantified. Such information may relate to the fluid properties or an unknown boundary condition\, for example. The premise of this talk is that when the flow is bounded by a free surface\, the deformation of this free surface contains useful information which can be used to infer such unknown quantities. The increasing availability of free surface data through remote sensing using drones and satellites provides the impetus to use mathematical methods and numerical tools to interpret the signature embedded in the free surface deformation.\nIn this talk\, we will explore the problem of recovering simultaneously the ice thickness and basal slip of an ice flow governed by the shallow ice approximation. \n\nThe MICDE Winter 2022 Seminar Series is open to all. University of Michigan faculty and students interested in computational sciences are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery (MICDE) and the Applied & Interdisciplinary Mathematics program at the University of Michigan. Dr. Moyers-González will be hosted by Dr. Mariana Carrasco-Teja\, Assistant Research Scientist and Associate Director of MICDE. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nThis is a virtual event. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/micde-aim-seminar-miguel-moyers-gonzalez-phd-associate-professor-of-mathematics-and-statistics-university-of-canterbury/
LOCATION:Your Desktop
CATEGORIES:Education,Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/03/Miguel-Moyers-Gonzalez.png
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220225T150000
DTEND;TZID=America/Detroit:20220225T160000
DTSTAMP:20230714T154821Z
CREATED:20230714T154821Z
LAST-MODIFIED:20230714T154821Z
UID:10000604-1645801200-1645804800@micde.umich.edu
SUMMARY:MICDE / AIM Seminar: Blaise Bourdin\, PhD\, Professor of Mathematics & Statistics\, McMaster University
DESCRIPTION:Zoom Link \nBio: Blaise Bourdin is a professor in the department of mathematics and statistics at McMaster University (Hamilton\, ON\, Canada). Dr. Bourdin’s formal training is at the meeting point of solid mechanics\, scientific computing\, and applied mathematics. He borrows techniques for these areas to study problems in mechanical science with a specific focus on problems involving defect mechanics and optimal design. He has cultivated this multi-disciplinary training by revisiting “classical” problems with more advanced technical tools\, by skewing my theoretical work towards problems of particular relevance to engineering and science\, and by using investigative numerical simulations as a modeling tool in complex multi-scale problems. \nDr. Bourdin’s research focusses on modeling\, analysis\, and numerical implementations of problems arising in reservoir engineering\, defect mechanics\, optimal design\, and image processing. He is the recipient of multiple research grants from the National Science Foundation\, the Louisiana Board of Regents and industry\, totalling over $6M. He has written several high impact publications\, including three ESI highly cited papers in two disciplines (mathematics and engineering). He also maintains several open source software projects. \nVARIATIONAL AND PHASE-FIELD MODELS OF BRITTLE FRACTURE: PAST SUCCESSES AND CURRENT ISSUES\nIn this talk Dr. Bourdin will start with a modern interpretation of Griffith’s classical criterion as a variational principle for a free discontinuity energy and will recall some of the milestones in its analysis. Then he will introduce the phase-field approximation per se and describe its numerical implementation. He will illustrate how phase-field models have led to major breakthroughs in the predictive simulation of fracture in complex situations. He will show how this applies to current issues\, including crack nucleation in nominally brittle materials\, fracture of heterogeneous materials\, and inverse problems.\n\n\n\n  \nThe MICDE Winter 2022 Seminar Series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery (MICDE) and the Applied & Interdisciplinary Mathematics program at the University of Michigan. Dr. Bourdin will be hosted by Dr. Selim Esedoglu\, Professor of Mathematics. \nThis is a hybrid event and will be held in-person and broadcasted online via Zoom. Join here.  \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/micde-aim-seminar-blaise-bourdin-phd-professor-of-mathematics-statistics-mcmaster-university-2/
LOCATION:Zoom Event
CATEGORIES:Education,Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/07/Blaise-Bourdin.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210930T150000
DTEND;TZID=America/Detroit:20210930T160000
DTSTAMP:20260612T020050Z
CREATED:20210907T174508Z
LAST-MODIFIED:20260612T020050Z
UID:10000523-1633014000-1633017600@micde.umich.edu
SUMMARY:MICDE & MIDAS Graduate Programs Information Tables (In-person)
DESCRIPTION:Meet 1:1 with MICDE and MIDAS graduate program faculty and staff managers to learn more about the institutes and the computational and data science graduate programs they offer\, including: the Ph.D. in Scientific Computing\, the Graduate Certificate in Computational Discovery & Engineering\, the Graduate Certificate in Computational Neuroscience\, and the Graduate Certificate in Data Science. \nAdvanced Research Computing will also be there giving information about their services\, including the new free cluster allocations and ARC’s consulting services. \n\nThis event will be held in-person under the outdoor canopy tent located on the Ingalls Mall\, across the street from the Rackham Graduate School building. \nAll attendees are required to wear masks. \n\nCheck out the recording of our virtual info session on Wednesday\, September 29 here.
URL:https://micde.umich.edu/event/micde-midas-graduate-programs-info-session-in-person/
LOCATION:MI
CATEGORIES:Education,Featured Events,Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210929T120000
DTEND;TZID=America/Detroit:20210929T130000
DTSTAMP:20260612T023934Z
CREATED:20210907T174508Z
LAST-MODIFIED:20260612T023934Z
UID:10000522-1632916800-1632920400@micde.umich.edu
SUMMARY:MICDE & MIDAS Graduate Programs Info Session (Virtual)
DESCRIPTION:Join the MICDE and MIDAS teams for a 1-hour virtual information session to learn more about our computational and data science graduate program offerings\, including: the Ph.D. in Scientific Computing\, the Graduate Certificate in Computational Discovery & Engineering\, the Graduate Certificate in Computational Neuroscience\, and the Graduate Certificate in Data Science. \nAfter a short presentation\, each program’s faculty director and/or staff manager will be present to answer questions in a small group or 1:1 setting. \n\nWatch the recording of this info session here.
URL:https://micde.umich.edu/event/micde-midas-graduate-programs-info-session-virtual/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Education,Featured Events,Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200820T160000
DTEND;TZID=America/Detroit:20200820T170000
DTSTAMP:20230905T171250Z
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000288-1597939200-1597942800@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:4:00 p.m. E.D.T. / 8:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \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 Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students 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.\n\nView the presentation from this event here. A video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-august20/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Education,Info Session
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/Graduate-Studies-in-Computational-Data-Sciences-Info-Sessions.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200804T080000
DTEND;TZID=America/Detroit:20200804T090000
DTSTAMP:20230905T171250Z
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000290-1596528000-1596531600@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:8:00 a.m. E.D.T. / 12:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \n\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 Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students 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.\n\nView the presentation from the information session here. The video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-august4/
LOCATION:Zoom Webinar
CATEGORIES:Education,Info Session
ATTACH;FMTTYPE=:
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200730T080000
DTEND;TZID=America/Detroit:20200730T090000
DTSTAMP:20230905T171250Z
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000289-1596096000-1596099600@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:8:00 a.m. E.D.T. / 12:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \n\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 Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students 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.\n\nView the presentation from the information session here. A video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-july30/
LOCATION:Zoom Webinar
CATEGORIES:Education,Info Session
ATTACH;FMTTYPE=:
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200602T150000
DTEND;TZID=America/Detroit:20200602T160000
DTSTAMP:20230905T171345Z
CREATED:20230905T171345Z
LAST-MODIFIED:20230905T171345Z
UID:10000605-1591110000-1591113600@micde.umich.edu
SUMMARY:MICDE Webinar Series: Gabriel Ehrlich\, Director\, Research Seminar in Quantitative Economics\, University of Michigan
DESCRIPTION:Bio: Dr. Gabriel Ehrlich is the Director of the Research Seminar in Quantitative Economics (RSQE)\, and an Assistant Research Scientist in the department of Economics at the University of Michigan. Prior to joining RSQE\, he worked in the Financial Analysis Division at the Congressional Budget Office (CBO)\, where he forecast interest rates and conducted analysis on monetary policy and the mortgage finance system. His academic research focuses on several areas of housing and land economics as well as the effects of wage rigidity on labor market outcomes. \nMODELING THE ECONOMIC OUTLOOK IN THE TIME OF COVID-19\nWe will present the Research Seminar in Quantitative Economics’ (RSQE’s) forecast for the national and Michigan economies from 2020 to 2022. We will discuss the incoming data during the COVID-19 pandemic\, the near-term economic damage\, and the prospects for economic recovery. RSQE is the world’s oldest continuously operating economic forecasting unit and is home to the “Michigan Model” of the U.S. economy.
URL:https://micde.umich.edu/event/micde-webinar-series-gabriel-ehrlich-director-research-seminar-in-quantitative-economics-university-of-michigan/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Education,Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/07/Gabriel-Ehrlich.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200417T150000
DTEND;TZID=America/Detroit:20200417T163000
DTSTAMP:20230905T171344Z
CREATED:20230905T171344Z
LAST-MODIFIED:20230905T171344Z
UID:10000606-1587135600-1587141000@micde.umich.edu
SUMMARY:Webinar: Transmission modeling of infectious diseases and the COVID-19 outbreak
DESCRIPTION:This seminar will focus on differential equation transmission modeling approaches to analyze the spread of infections diseases\, and how Prof. Eisenberg and her colleagues are using them to model the current COVID-19 outbreak in the State of Michigan.Their current model is helping to forecast the numbers of laboratory-confirmed cases\, fatalities\, hospitalized patients\, and hospital capacity issues (such as ICU beds needed)\, and examining how social distancing can impact the spread of the epidemic.
URL:https://micde.umich.edu/event/webinar-transmission-modeling-of-infectious-diseases-and-the-covid-19-outbreak/
LOCATION:BlueJeans Events
CATEGORIES:Education,Featured Events,MICDE Seminar Series,Webinar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/07/Marisa-Eisenberg.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200115T150000
DTEND;TZID=America/Detroit:20200115T180000
DTSTAMP:20230905T171339Z
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000301-1579100400-1579111200@micde.umich.edu
SUMMARY:SC2 Workshop Series: VisIt- Open Source\, Interactive\, Scalable\, Visualization\, Animation and Analysis Tool
DESCRIPTION:Learn to interactively visualize and analyze data ranging in scale from small (<101 cores) desktop-sized projects to large (>105 core) leadership-class computing facility simulation campaigns. Dr. Allen Sanderson\, an expert from the Scientific Computing and Imaging Institute (Utah)\, will teach this workshop. If you’re unfamiliar with VisIt\, check out how it can help you visualize your data here. \nInstructor: Dr. Allen Sanderson\, Research Scientist\, Scientific Computing and Imaging Institute\,  University of Utah \nSpace is limited. Learn more and register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-visit-open-source-interactive-scalable-visualization-animation-and-analysis-tool/
LOCATION:MI
CATEGORIES:Education,Featured Events,SC2,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191203T140000
DTEND;TZID=America/Detroit:20191203T170000
DTSTAMP:20230905T171338Z
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000300-1575381600-1575392400@micde.umich.edu
SUMMARY:SC2 Workshop Series: Data Processing and Visualizations with R and Python
DESCRIPTION:This workshop will provide some tools\, tips\, and packages that make data processing and visualization in R easier. Some coding experience is required – not necessarily R. \nInstructor: Dr. Michael Clark\, Consultant\, Consulting for Statistics\, Computing and Analytic Research (CSCAR) \nSpace is limited. Learn more and register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-data-processing-and-visualizations-with-r-and-python/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Education,Featured Events,SC2,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191120T150000
DTEND;TZID=America/Detroit:20191120T170000
DTSTAMP:20230905T171339Z
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000294-1574262000-1574269200@micde.umich.edu
SUMMARY:SC2 Workshop Series: QGIS - Visualizing Geospatial Data
DESCRIPTION:QGIS is a user friendly Open Source Geographic Information System (GIS). You can visualize\, manage\, edit\, analyze data\, and compose printable maps. The workshop will use R. This workshop is part of the Scientific Computing Student Club’s (SC2) 2020 Visualization Challenge. It is the second workshop in the series. Learn more about the workshop series and the Visualization Challenge here. \nInstructor: Dr. Manish Verma\, Consultant\, Consulting for Statistics\, Computing and Analytic Research (CSCAR) \nSpace is limited. Register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-qgis-visualizing-geospatial-data/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Education,Featured Events,SC2,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191024T170000
DTEND;TZID=America/Detroit:20191024T190000
DTSTAMP:20230905T171336Z
CREATED:20230905T171336Z
LAST-MODIFIED:20230905T171336Z
UID:10000293-1571936400-1571943600@micde.umich.edu
SUMMARY:SC2 Workshop Series: Intro to Jugular: Virtual Reality and 3D Rendering
DESCRIPTION:Learn how to format\, load and visualize your data in 3D. Jugular works in U-M M.I.D.E.N.\, the Occulus Rift and any desktop window. The U-M 3D Lab will teach this workshop and show us the available tools in-house. This workshop is part of the Scientific Computing Student Club’s (SC2) 2020 Visualization Challenge. Learn more about the workshop series and the Visualization Challenge here. \nInstructor: Theodore Hall\, U-M 3D Lab\, The Duderstadt Center \nSpace is limited. Register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-intro-to-jugular-virtual-reality-and-3d-rendering/
LOCATION:U-M 3D Lab\, Digital Media Commons\, Duderstadt Center\, 2281 Bonisteel Blvd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,SC2,Workshops
GEO:42.291072;-83.715734
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=U-M 3D Lab Digital Media Commons Duderstadt Center 2281 Bonisteel Blvd Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2281 Bonisteel Blvd:geo:-83.715734,42.291072
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180316T120000
DTEND;TZID=America/Detroit:20180316T133000
DTSTAMP:20230905T171418Z
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000133-1521201600-1521207000@micde.umich.edu
SUMMARY:[SC2 & MICDE] Lunch with alumni: Lois K. Smith
DESCRIPTION:Lois graduated from Michigan in the Fall 2016 with a PhD from the AOSS (now Climate and Space Sciences and Engineering) department and was an MICDE fellow and is Certificate in Computational Discovery & Engineering alumni. Since graduating\, she has been in industry working as a data scientist (iSpot\, Microsoft). She is back on campus and will join the SC2 to talk about her transition to industry and how MICDE and her training in computational sciences helped on the way. \nRSVP please.
URL:https://micde.umich.edu/event/sc2-micde-lunch-with-alumni-lois-k-smith/
LOCATION:1180 Duderstadt Center\, 2281 Bonisteel Blvd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,SC2
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/04/SC2_simple.png
GEO:42.291072;-83.715734
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1180 Duderstadt Center 2281 Bonisteel Blvd Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2281 Bonisteel Blvd:geo:-83.715734,42.291072
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161202T140000
DTEND;TZID=America/Detroit:20161202T150000
DTSTAMP:20230905T171440Z
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
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