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DTSTART;TZID=America/Detroit:20230928T110000
DTEND;TZID=America/Detroit:20230928T123000
DTSTAMP:20260604T054952
CREATED:20230918T023335Z
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SUMMARY:SciML Webinar: Bob Carpenter - Multiscale Generalized Hamiltonian Monte Carlo with Delayed Rejection
DESCRIPTION:Speaker: Bob Carpenter (Flatiron Institute) \n\n\nSession Chair: Sam Livingstone (University College London) \n\n\nAbstract: In this talk\, I will demonstrate how we can combine two ideas\, generalized Hamiltonian Monte Carlo and delayed rejection\, to derive a sampler that is as efficient as Hamiltonian Monte Carlo\, but is able to adapt its step size to deal with multiscale distributions\, much like a standard integrator for ordinary differential equations. A distribution is multiscale if its curvature has different scales in the posterior; a textbook example is Radford Neal’s funnel example derived from hierarchical priors\, which has a very flat mouth (corresponding to high population variance) and very highly curved neck (low population variance). No fixed step size allows exploration of its posterior. Generalized HMC allows us to take a single Hamiltonian step along the gradient at a time (which is equivalent to Metropolis-adjusted Langevin dynamics)\, but only refresh momentum partially (which makes it underdamped). The naive form of this algorithm does not work because momentum must be reversed to maintain detailed balance if the Metropolis step rejects. To maintain directed exploration\, we apply delayed rejection\, which allows a proposal rejected due to divergence of the Hamiltonian (from too large a step size in the first-order approximation of the dynamics) to be retried with a smaller step size (with a Hastings-style adjustment for the retry). We show that the combination of delayed rejection and GHMC allows sampling multiscale distributions which otherwise lead to biased samples in standard Hamiltonian Monte Carlo (including dynamic forms such as the no-U-turn sampler). In conclusion\, I will discuss some preliminary work on applying the the automatic tuning method using complementary parallel chains developed by Matt Hoffman and Pavel Sountsov for their sampler MEADS (which also uses generalized HMC\, but with an alternative approach to maintaining directed exploration based on work of Radford neal\, which will also describe). \n\nSlides: https://statmodeling.stat.columbia.edu/wp-content/uploads/2023/09/carpenter-sciml-webinar-2023.pdf
URL:https://micde.umich.edu/event/sciml-webinar-bob-carpenter-multiscale-generalized-hamiltonian-monte-carlo-with-delayed-rejection/
CATEGORIES:Sciml,SciML Webinar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230927T160000
DTEND;TZID=America/Detroit:20230927T170000
DTSTAMP:20260604T054952
CREATED:20230817T202936Z
LAST-MODIFIED:20230912T222916Z
UID:10000612-1695830400-1695834000@micde.umich.edu
SUMMARY:MICDE / MIDAS Graduate Information Session
DESCRIPTION:The educational programs represented are: \n\nPhD in Scientific Computing (MICDE)\nGraduate Certificate in Computational Discovery & Engineering (MICDE)\nGraduate Certificate in Computational Neuroscience (MICDE)\nGraduate Certificate in Data Science (MIDAS)\n\nThese programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications – current and past students have come from a variety of home departments including Aerospace Engineering\, Applied Physics\, Biostatistics\, Biomedical Engineering\, Civil & Environmental Engineering\, Chemistry\, Chemical Engineering\, Climate and Space Sciences and Engineering\, Computational Medicine and Bioinformatics\, Ecology and Evolutionary Biology\, Earth and Environmental Sciences\, Epidemiology\, Health Behavior and Health Education\, Health Infrastructures & Learning Systems\, Information\, Industrial & Operations Engineering\, Kinesiology\, Linguistics\, Macromolecular Science & Engineering\, Math\, Molecular\, Cellular\, and Developmental Biology\, Mechanical Engineering\, Materials Science & Engineering\, Naval Architecture & Marine Engineering\, Nuclear Engineering & Radiological Sciences\, Neuroscience\, Pharmaceutical Sciences\, Physics\, Political Science\, Psychology\, Environment and Sustainability\, Sociology and Statistics.\nIf you have any questions about these programs or about the information session\, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).
URL:https://micde.umich.edu/event/presentationgraduate-studies-in-computational-data-sciences-information-session/
LOCATION:Lurie Robert H. Engin. Ctr – Johnson Rooms\, 3rd floor
CATEGORIES:Computation,Computational Modeling,Computational Science,Computational Social Science,data,Data Science,Deep Learning,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Machine Learning,Micde,Michigan Engineering,Midas,Neuroscience,Prospective Graduate Students,Rackham,Research,Science,Scientific Computing
ATTACH;FMTTYPE=image/gif:https://micde.umich.edu/wp-content/uploads/2023/08/Info-session.gif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230926T123000
DTEND;TZID=America/Detroit:20230926T130000
DTSTAMP:20260604T054952
CREATED:20230913T145952Z
LAST-MODIFIED:20230921T195259Z
UID:10000631-1695731400-1695733200@micde.umich.edu
SUMMARY:MICDE Ph.D. Student Seminar: Haowei Sun
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public\, but we ask that you register to attend the seminar. If you have any questions\, please email micde-events@umich.edu. \nRegister to attend this seminar \nTera City: Accurate and Efficient AV Safety Performance Evaluation\nThis talk is aiming at mitigating current simulation-based AV safety performance evaluation approaches. Tera City is composed of naturalistic driving environment construction and intelligent testing environment construction\, which provided accuracy and efficiency\, respectively. \nHaowei Sun\, Ph.D. candidate in Civil and Environmental Engineering and Scientific Computing \nHaowei Sun is a Ph.D. candidate at Civil Engineering\, Next Generation Transportation System Program. His research focus is mainly on the safety validation and verification of autonomous vehicles. \nRegister to attend this seminar
URL:https://micde.umich.edu/event/phd-seminar-haowei-sun/
LOCATION:2022 South Thayer Building
CATEGORIES:Civil and Environmental Engineering,Computation,Computational Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Michigan Engineering,Phd Seminar,Prospective Graduate Students,Rackham,Science,Scientific Computing,Seminar,Talk
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/Haowei-Sun.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230922T150000
DTEND;TZID=America/Detroit:20230922T160000
DTSTAMP:20260604T054952
CREATED:20230823T205958Z
LAST-MODIFIED:20231002T135627Z
UID:10000624-1695394800-1695398400@micde.umich.edu
SUMMARY:MICDE / AIM Seminar: Lin Lin\, Professor of Mathematics at University of California Berkeley
DESCRIPTION:Bio: Lin Lin is a Professor in the Department of Mathematics at UC Berkeley\, and a Faculty Scientist in the Mathematics Group at Lawrence Berkeley National Laboratory. His research centers on solving quantum many-body problems by employing both classical and contemporary methods. These techniques prove valuable across various domains\, including quantum chemistry\, quantum physics\, materials science\, and quantum information theory. He has received the Sloan Research Fellowship (2015)\, the National Science Foundation CAREER award (2017)\, the Department of Energy Early Career award (2017)\, the (inaugural) SIAM Computational Science and Engineering (CSE) early career award (2017)\, the Presidential Early Career Awards for Scientists and Engineers (PECASE) (2019)\, the ACM Gordon Bell Prize (Team\, 2020)\, and the Simons Investigator in Mathematics award (2021). \nQuantum algorithms for eigenvalue problems\nThe problem of finding the smallest eigenvalue of a Hermitian matrix\, known as the ground state energy in quantum physics\, has broad applications. Recent years have witnessed significant algorithmic progresses including near-optimal asymptotic complexity\, algorithms with a minimal number of required logical qubits\, and even optimized preconstants. In this talk\, I will first introduce basic quantum algorithm concepts for a non-expert audience and overview these advancements. I will then introduce a recent progress in leveraging ideas from open quantum systems to solve the eigenvalue problem\, which allows us to start from a state with zero overlap with the target state. \n  \n\n  \nThe MICDE Fall 2023 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and Applied & Interdisciplinary Mathematics (AIM). Prof. Lin will be hosted by Dr. Emanuel Gull\, Associate Professor of Theoretical Condensed Matter Physics. \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/workshop-seminaraim-seminar-lin-lin/
LOCATION:East Hall – 1084
CATEGORIES:Featured Events,Mathematics,Micde Seminar,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/08/Lin-Lin-small.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230921T110000
DTEND;TZID=America/Detroit:20230921T123000
DTSTAMP:20260604T054952
CREATED:20230914T172942Z
LAST-MODIFIED:20231018T162319Z
UID:10000643-1695294000-1695299400@micde.umich.edu
SUMMARY:SciML Webinar: David Ruhe - Geometric Clifford Algebra Networks
DESCRIPTION:Speaker: David Ruhe (University of Amsterdam) \n\n\nSession Chair: Erik Bekkers (University of Amsterdam) \n\nAbstract: In this talk\, I will present Clifford Group Equivariant Neural Networks\, an innovative method for building E(n)-equivariant networks based on Clifford (geometric) algebras. First\, I will give an introduction to the Clifford algebra and its geometric applications. Then\, I will introduce the Clifford group and how it always acts through the orthogonal group. As such\, a parameterization that is equivariant to the Clifford group will automatically be equivariant to the orthogonal group of\, e.g.\, rotations and reflections. We show that any polynomial (under the algebra’s geometric product) is such a parameterization.  We propose several layers from these insights and conduct experiments in three-\, four-\, and five-dimensional spaces. One of these experiments even includes equivariance to the nondefinite O(1\,3) Lorentz group from the same code implementation. Finally\, I will provide guidance on how to utilize our codebase for implementing these algorithms.
URL:https://micde.umich.edu/event/sciml-webinar-david-ruhe-geometric-clifford-algebra-networks/
CATEGORIES:SciML Webinar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230920T150000
DTEND;TZID=America/Detroit:20230920T170000
DTSTAMP:20260604T054952
CREATED:20230822T205955Z
LAST-MODIFIED:20230912T214901Z
UID:10000623-1695222000-1695229200@micde.umich.edu
SUMMARY:MICDE Fellow Welcome Event
DESCRIPTION:MICDE is organizing a welcome event for its new fellows. During this event we will share with you the guidelines and process for utilizing your fellowship award funds\, as well as the resources and benefits you now have access to as a part of the MICDE community of fellows. Additionally\, you will receive a professionally-taken headshot free of charge (please dress accordingly). You will also have some time to introduce yourselves and get to know one another. Sandwiches\, cookies\, and beverages will be provided.
URL:https://micde.umich.edu/event/othermicde-fellow-welcome-event/
LOCATION:Rackham Graduate School (Horace H.) – Earl Lewis
CATEGORIES:Micde
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/08/MICDE-Fellow-Welcome-Event.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230817T080000
DTEND;TZID=America/Detroit:20230817T170000
DTSTAMP:20260604T054952
CREATED:20230816T164443Z
LAST-MODIFIED:20230831T171725Z
UID:10000608-1692259200-1692291600@micde.umich.edu
SUMMARY:Other:MICDE website launch
DESCRIPTION:New MICDE website will be going live.
URL:https://micde.umich.edu/event/othermicde-website-launch/
LOCATION:Off Campus Location
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230412T160000
DTEND;TZID=America/Detroit:20230412T170000
DTSTAMP:20260604T054952
CREATED:20230714T151826Z
LAST-MODIFIED:20260522T152717Z
UID:10000602-1681315200-1681318800@micde.umich.edu
SUMMARY:MICDE Seminar: Paul Kent\, PhD\, Distinguished Research Scientist at Oak Ridge National Laboratory
DESCRIPTION:Dr Kent`s research is focusing on predicting and explaining the properties of materials using computer simulation. Over the last two decades\, advances in simulation techniques coupled with increasing computer power have led to several methods that are able to predict physical properties of real materials to a useful accuracy. Moreover\, these methods use little or no experimental data\, making them especially valuable for the study of new materials and devices. Dr. Kent specializes in the application and development of these so-called “first principles” methods. \nHis research interests are broadly focused on atomistic materials simulation. His ongoing research projects include: \n\nQuantum Monte Carlo for real materials\nLarge length and timescale quantum molecular dynamics calculations\nCharacterization\, optimization\, and design of nanoscale systems with desired properties\nCombined density functional and many-body calculations of correlated electron systems such as the copper-oxide superconductors\nReactive classical molecular dynamics\nSimulation methods for exploitation of Exascale supercomputers and emergent architectures\n\n\n\n\n\n\nDr. Kent is the director of  the Center for Predictive Simulation of Functional Materials. He also leads the  development of the QMCPACK application for exascale computing as part of the Exascale Computing Project. QMCPACK is a high-performance Quantum Monte Carlo code for computing the electronic structure of atoms\, molecules and solids\, including metals. QMCPACK is open source and available on GitHub. \nDr Kent is a member of the Nanotheory Institute at the Center for Nanophase Materials Sciences (CNMS) and the Computational Chemical and Materials Science group in the Computational Science and Engineering Division. He spent three years at NREL with Alex Zunger after completing his PhD with Richard Needs at the University of Cambridge. For several years he worked with Mark Jarrell at the University of Cincinnati on high-temperature cuprate superconductors. In 2009 he transitioned from JICS/UT Knoxville to ORNL. \nAwards: \n\nORNL Director’s Award for Outstanding Individual Accomplishment in Science and Technology\, 2020.\nAPS Fellowship\, nominated by the Division of Computational Physics\, 2017.\nACM Gordon Bell Prize\, 2008.\n\nProfessional Service: \n\nGrant reviewer for US DOE and NSF\nReviewer for APS\, ACS\, IOP\, Elsevier\, Springer Nature etc.\n\nAccurate Quantum Materials  Predictions on the Largest Supercomputers\nAdvances in the field of computational materials science have helped to predict\, understand\, and optimize the properties of many classes of materials. These include new battery electrodes\, catalysts\, and arguably even higher-temperature superconductors. However\, we still lack a widely usable method where all the key uncertainties and approximations in the predictions can be assessed and systematically reduced. This is critical where the approximations in established methods fail\, such as in quantum materials\, or simply where greater accuracy is desired. In this talk I will first describe our recent advances in Quantum Monte Carlo methods that promise to meet this challenge. Second\, I will describe the new algorithms and performance portable software design and development strategies we have adopted to run efficiently on the largest supercomputers powered by GPU accelerators from NVIDIA\, AMD and Intel. The lessons learned can be applied in any area of scientific software development. \n\nThe MICDE Winter 2023 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Department of Physics. Dr. Kent will be hosted by Dr. Emanuel Gull\, Associate Professor of Theoretical Condensed Matter Physics. \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-paul-kent-phd-distinguished-research-scientist-at-oak-ridge-national-laboratory/
LOCATION:411 West Hall (1085 S. University)\, 1085 S. University 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/2023/07/Paul-Kent.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230316T163000
DTEND;TZID=America/Detroit:20230316T170000
DTSTAMP:20260604T054952
CREATED:20230123T090003Z
LAST-MODIFIED:20230809T181913Z
UID:10000601-1678984200-1678986000@micde.umich.edu
SUMMARY:PhD Seminar: Xintao Yan
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nXintao Yan\, PhD Candidate\, Civil and Environmental Engineering and Scientific Computing\nXintao Yan is currently a Ph.D. candidate in the Department of Civil and Environmental Engineering at the University of Michigan\, Ann Arbor\, advised by Professor Henry Liu. He received his bachelor’s degree from the Department of Automotive Engineering at Tsinghua University\, China in 2018. His research interests are mainly about the safety of connected and automated vehicles\, including naturalistic driving behavior modeling and automated driving system evaluation. \nSimulating Naturalistic Driving Environment for Autonomous Vehicles\nSimulation provides a controllable\, efficient\, and low-cost venue for both developing and testing autonomous vehicles (AV). But for simulation to be an effective tool\, statistical realism of the simulated driving environment is a must. In this talk\, we will introduce methods to simulate naturalistic driving environment for AV testing purposes. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-xintao-yan/
LOCATION:Venue TBA\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/2023-Winter-Yan.png
GEO:42.3053253;-83.6694169
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230316T160000
DTEND;TZID=America/Detroit:20230316T163000
DTSTAMP:20260604T054952
CREATED:20230123T090003Z
LAST-MODIFIED:20230809T182009Z
UID:10000597-1678982400-1678984200@micde.umich.edu
SUMMARY:PhD Seminar: Xingmin Wang
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nXingmin Wang\, PhD Candidate\, Civil and Environmental Engineering and Scientific Computing\nXingmin Wang is currently a Ph.D. candidate in the Department of Civil and Environmental Engineering at the University of Michigan\, Ann Arbor\, advised by Professor Henry Liu. He obtained his bachelor’s degree in the school of vehicle and mobility from Tsinghua University\, in 2018. His research interests include traffic state estimation and traffic network optimization with connected and automated vehicles.  \nTraffic signal optimization with connected vehicle trajectories\nTraffic signal retiming is one of the most cost-effective methods for reducing congestion and energy consumption in urban areas based on the existing road infrastructure. However\, high installation and maintenance costs of vehicle detectors have prevented the widespread implementation of adaptive traffic control systems (ATSC). Therefore\, most intersections are still controlled by fixed-time traffic signals which are not updated regularly due to the lack of traffic monitoring capabilities. In the past few years\, vehicle trajectory data has become increasingly available and offers many advantages over detectors and other infrastructure-based sensors for traffic monitoring; but using such data for automatic traffic signal diagnosis and optimization at scalable implementable levels is relatively unexplored. To fill this gap\, this work proposes Optimizing Traffic Signals as a Service (OSaaS)\, an integrated traffic signal re-timing system that uses vehicle trajectories as the main input. OSaaS addresses many of the current challenges relating to signal retiming with trajectory data such as incomplete observation due to limited penetration rates. The system builds a queueing model that reconstructs the overall average traffic state\, calibrated from performance measurements directly obtained from vehicle trajectories. The calibrated queueing model then predicts and evaluates network performance under different traffic signal parameters to provide diagnostics and direct traffic signal retiming guidance. In April 2022\, a citywide field test of OSaaS was conducted in Birmingham\, Michigan\, with 34 signalized intersections. This resulted in decreases in both the delay and number of stops by up to 20% and 30%\, respectively. OSaaS provides a more scalable\, sustainable\, resilient\, and efficient solution to traffic signal retiming without requiring any additional infrastructure through the exclusive utilization of currently available trajectory data. As a result\, it presents the possibility of upgrading all existing fixed-time traffic signals to dynamic systems with periodical parameter updates\, something that is not currently possible without significant investments in infrastructure-based traffic flow sensors. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-xingmin-wang/
LOCATION:Venue TBA\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/2023-Winter-Wang-1.png
GEO:42.3053253;-83.6694169
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230309T163000
DTEND;TZID=America/Detroit:20230309T170000
DTSTAMP:20260604T054952
CREATED:20230209T090003Z
LAST-MODIFIED:20230809T184654Z
UID:10000600-1678379400-1678381200@micde.umich.edu
SUMMARY:PhD Seminar: Jiahao Shi
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nJiahao Shi\, PhD Candidate\, Industrial and Operations Engineering and Scientific Computing\nHe is from industrial and Operations Engineering department and is working on constrained stochastic optimization. \nAccelerating Stochastic Sequential Quadratic Programming for Equality Constrained Optimization using Predictive Variance Reduction\nWe propose a stochastic method for solving equality constrained optimization problems that utilizes predictive variance reduction. Specifically\, we develop a method based on the sequential quadratic programming paradigm that employs variance reduction in the gradient approximations. Under reasonable assumptions\, we prove that a measure of first-order stationarity evaluated at the iterates generated by our proposed algorithm converges to zero in expectation from arbitrary starting points\, for both constant and adaptive step size strategies. Finally\, we demonstrate the practical performance of our proposed algorithm on constrained binary classification problems that arise in machine learning. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-jiahao-shi/
LOCATION:Venue TBA\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/2023-Winter-Shi.png
GEO:42.3053253;-83.6694169
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230309T160000
DTEND;TZID=America/Detroit:20230309T163000
DTSTAMP:20260604T054952
CREATED:20230209T090003Z
LAST-MODIFIED:20260417T164122Z
UID:10000596-1678377600-1678379400@micde.umich.edu
SUMMARY:PhD Seminar: Kashvi Srivastava
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nKashvi Srivastava\, PhD Candidate\, Applied and Interdisciplinary Mathematics and Scientific Computing\nKashvi Srivastava is a PhD candidate in Applied and Interdisciplinary Mathematics. Her research interests lie in the applications of nonlinear dynamics in chemical kinetics. She works on analytical and computational modeling of chemical reactions using tools from perturbation theory and bifurcation theory. \nDeterministic and Stochastic Modeling of Dynamical Systems in Chemical Kinetics\nChemical reactions are ubiquitous in nature in the form of biological and physical processes. We use nonlinear ordinary differential equations to mathematically model these processes in the deterministic regime. If a given process occurs at disparate time-scales\, we can further reduce the number of equations to obtain a quasi-steady-state approximation of the system. In this talk\, we consider a significant mechanism in chemical kinetics called the Michaelis–Menten reaction and its different quasi-steady-state reductions. We focus on the challenges faced in applying classical reduction theory on the system and the conditions under which its reductions are valid in the stochastic regime. We make use of a stochastic simulation algorithm called the Gillespie algorithm to demonstrate the accuracy of the reduced systems and to disprove a commonly-accepted qualifier for the validity of the stochastic approximation.  \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-kashvi-srivastava/
LOCATION:3530 Rackham\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/2023-Winter-Srivastava.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230309T100000
DTEND;TZID=America/Detroit:20230309T113000
DTSTAMP:20260604T054952
CREATED:20230112T161613Z
LAST-MODIFIED:20230217T195922Z
UID:10000594-1678356000-1678361400@micde.umich.edu
SUMMARY:Stata's `margins` command
DESCRIPTION:Audience: Researchers using Stata to fit statistical models\n\nStata’s `margins` command is a powerful and robust tool that makes Stata one of the premier pieces of software for statistical analysis. In this workshop\, we will cover the basic uses of the `margins` command\, including its use to better understand categorical predictors\, interactions\, and non-linear effects; marginalization to examine variable effects while averaging over other effects; and visualizations with `marginsplot`.
URL:https://micde.umich.edu/event/statas-margins-command/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230302T153000
DTEND;TZID=America/Detroit:20230302T163000
DTSTAMP:20260604T054952
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000017-1677771000-1677774600@micde.umich.edu
SUMMARY:MICDE Seminar: Daniele Schiavazzi\, Associate Professor of Applied and Computational Mathematics and Statistics\, University of Notre Dame
DESCRIPTION:Daniele Schiavazzi is an Associate Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame. He graduated with honors and received a Ph.D. in Applied Mathematics from Universita’ degli Studi di Padova in Italy. He held postdoctoral appointments at the University of California\, San Diego and Stanford University. He is the recipient of a CAREER Award from the National Science Foundation\, a Young Faculty Award from DARPA and a Postdoctoral Fellowship from the American Heart Association. His research interests include uncertainty quantification\, cardiovascular simulation\, multi-resolution and multi-fidelity approximation\, model-based inference and inverse problems in medical imaging. \nTalk Title: NEW PARADIGMS FOR ENSEMBLE MODELING\, UNCERTAINTY QUANTIFICATION AND INFERENCE IN CARDIOVASCULAR SIMULATION \nAbstract: \nComputer simulations are increasingly used to complement clinical decision making in the diagnosis and treatment of cardiovascular disease. High-fidelity cardiovascular models are traditionally deterministic and solved using implicit time integration\, without directly accounting for uncertainty and variability in the underlying input processes\, for example boundary conditions\, material properties or segmented model anatomy. I will discuss an alternative simulation paradigm based on the explicit integration in time of an ensemble of model realizations\, running on multiple GPUs. Additionally\, I will present some results on the acceleration of traditional numerical solvers through data-driven methods based on deep neural networks\, focusing on synchronization-avoiding algorithms for distributed finite element solvers. I will finally discuss recently proposed approaches for multi-fidelity uncertainty propagation and variational inference\, combining high-fidelity cardiovascular models with their low-fidelity approximation or neural network surrogate. \n  \n\n  \nThe MICDE Fall 2022 Seminar Series is open to all. \nThis seminar is hosted by the Michigan Institute for Computational Discovery & Engineering (MICDE). Prof. Schiavazzi will be hosted by Prof. Alex Gorodetsky\, Assistant Professor of Aerospace Engineering. \nThis is an in-person event\, Zoom link will only be provided upon request. This seminar will not be recorded! \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-daniele-schiavazzi-associate-professor-of-applied-and-computational-mathematics-and-statistics-university-of-notre-dame/
LOCATION:1014 H. H. Dow\, 2300 Hayward St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230223T163000
DTEND;TZID=America/Detroit:20230223T170000
DTSTAMP:20260604T054952
CREATED:20230123T090003Z
LAST-MODIFIED:20230809T190922Z
UID:10000591-1677169800-1677171600@micde.umich.edu
SUMMARY:PhD Seminar: Shirlyn Wang
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nShirlyn Wang\, PhD Candidate\, Applied & Interdisciplinary Mathematics and Scientific Computing\nShirlyn Wang is a Ph.D candidate in Applied and Interdisciplinary Mathematics. Her research interest is in mathematical oncology\, the study of cancer initiation\, progression\, and therapy through data-driven mathematical models and simulations.  \nModeling CTL-mediated Tumor Cell Death Mechanisms and the Activity of Immune Checkpoints in Immunotherapy\nImmunotherapy has dramatically transformed the cancer treatment landscape. Of the variety of types of immunotherapies available\, immune checkpoint inhibitors (ICIs)\, which block inhibitory signals from tumor cells and reinvigorate killing activities of immune cells\, have gained the spotlight. Although ICIs have shown promising results for some patients\, the low response rates in many cancers highlight the challenges of using immune checkpoint blockade as an effective treatment. Cytotoxic T lymphocytes (CTLs) execute their cell-killing function via two distinct mechanisms. The first process is fast-acting and perforin/granzyme-mediated\, and the second is a slower\, Fas ligand (FasL)-driven killing mechanism. There is also evidence suggesting that the preferred killing mechanism by CTLs depends on the antigenicity of tumor cells. To determine the key factors affecting responses to checkpoint blockade therapy\, we constructed an ordinary differential equation model describing in vivo tumor-immune dynamics in the presence of active or blocked PD-1/PDL1 immune checkpoint. Specifically\, we analyzed which aspects of the tumor-immune landscape affect the response to ICIs with endpoints of tumor size and composition in the short and long term. By generating a virtual cohort with heterogeneous tumor and immune attributes\, we also simulated the therapeutic outcomes of immune checkpoint blockade in a largely diverse population. In this way\, we identified key tumor and immune characteristics that are associated with tumor elimination\, dormancy and escape. This talk will also shed light on which fraction of a population potentially responds well to ICIs and ways to enhance therapeutic outcomes with combination therapy. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-shirlyn-wang/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
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=America/Detroit:20230223T160000
DTEND;TZID=America/Detroit:20230223T163000
DTSTAMP:20260604T054952
CREATED:20230123T090003Z
LAST-MODIFIED:20230809T191036Z
UID:10000599-1677168000-1677169800@micde.umich.edu
SUMMARY:PhD Seminar: Pei-Hsun Huang
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nPei-Hsun Huang\, PhD Candidate\, Nuclear Engineering & Radiological Sciences and Scientific Computing\nPei-Hsun is a PhD student in Nuclear Engineering & Radiological Sciences working with Professor Annalisa Manera in the Experimental and Computational Multiphase Flow Laboratory. His project involves high-temperature two-phase heat pipe technologies. \nSimulation for the Design of Sodium Heat Pipes Bundle Test Facility for the Application of Microreactors\nThe 20 MW Special Purpose Reactor (SPR) is a heat pipe cooled microreactor that designed for electricity production in remote locations where reliable power grids are not always available. The key to SPR is the alkali metal heat pipes\, which offer entirely passive operation capacity with high mobility. Prior to deployment\, safety analysis with postulated accident scenarios is required for the licensing of SPR. To this regard\, a sufficiently accurate model is crucial to predict the behavior of heat pipes\, and high-resolution data is needed for the safety analysis of SPR. However\, the current existing heat pipe models are either oversimplified or unpractical expensive in view of the difficulty of the simulation with the wick structure and two-phase flow in the heat pipe. Therefore\, high fidelity experimental data is required for model verification in the high temperature heat pipe bundle system. The Michigan Sodium Heat Pipe bundle test facility which serves as a scale-down test facility using ten sodium heat pipes with a triangular array\, was utilized to verify the model for the licensing of SPR. In the talk\, the feasibility analysis using Computer Aided Engineering and Computational Fluid Dynamics for the design of the test facility was addressed. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-pei-hsun-huang-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/2023-Winter-Huang.png
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=America/Detroit:20230216T120000
DTEND;TZID=America/Detroit:20230216T130000
DTSTAMP:20260604T054952
CREATED:20230127T161137Z
LAST-MODIFIED:20230714T152013Z
UID:10000598-1676548800-1676552400@micde.umich.edu
SUMMARY:MICDE Seminar: Mark Pauly Professor of Computer Science\, École Polytechnique Fédérale de Lausanne
DESCRIPTION:WATCH THE RECORDING HERE. \nMark Pauly is a full professor at EPFL\, where he directs the Geometric Computing Laboratory (GCM). Prior to joining EPFL\, he was assistant professor at ETH Zurich\, postdoctoral scholar at Stanford University\, and doctoral student at ETH Zurich. He received the ETH medal for outstanding dissertation in 2003\, was awarded the Eurographics Young Researcher Award in 2006\, an ERC Starting Grant in 2010\, and the Eurographics Outstanding Technical Contributions Award in 2016. He is the co-founder of two EPFL spin-offs\, Faceshift AG and Rayform SA. \n  \nCOMPUTATIONAL INVERSE DESIGN OF DEPLOYABLE STRUCTURES \nResearch at the EPFL Geometric Computing Laboratory (GCM) aims at empowering creators. We develop efficient simulation and optimization algorithms to build computational design methodologies for advanced material systems and digital fabrication technology. Mathematical reasoning\, geometric abstractions\, and powerful numerical methods are key ingredients in our work.\nIn this talk I will show how these tools can be used to solve challenging inverse problems for deployable structures that can transition between multiple geometric states. Several design studies will highlight how the interplay of geometry\, computation\, and digital fabrication technologies facilitates the discovery of new material systems with superior functional performance. Such systems offer a wide variety of potential applications\, for example in industrial and consumer products\, soft robotics\, medical devices\, or architecture. \n\n  \nThe MICDE Winter 2023 Seminar Series is open to all. University of Michigan faculty and students interested in computationally designed advanced material systems and digital fabrication technology are encouraged to attend. \nThis seminar is hosted by the Michigan Institute for Computational Discovery & Engineering (MICDE). Prof. Pauly will be hosted by Prof. Evgueni Filipov\, Assistant Professor of Civil and Environmental Engineering. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/mark-pauly-professor-at-the-school-of-computer-and-communication-sciences-ecole-polytechnique-federale-de-lausanne/
CATEGORIES:Education,Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/01/Mark-Pauly.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230207T093000
DTEND;TZID=America/Detroit:20230207T153000
DTSTAMP:20260604T054952
CREATED:20230112T160800Z
LAST-MODIFIED:20230217T195922Z
UID:10000593-1675762200-1675783800@micde.umich.edu
SUMMARY:Introduction to Stata (Beginner)
DESCRIPTION:Audience: Those who have never used Stata before but wish to learn. \nBy the end of the workshop\, participants will be able to: Work with Stata\, including using Do-files and using the help system; Get data into Stata and manage your data files; Establish familiarity with your data; Clean the data to prepare it for analysis; Check for basic errors in the data; Generate new variables or manipulate existing variables; Merge or reshape the data.; Produce summary tables and descriptive statistics. \nNote: This workshop does NOT cover any statistical modeling.
URL:https://micde.umich.edu/event/introduction-to-stata-beginner/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230127T100000
DTEND;TZID=America/Detroit:20230127T113000
DTSTAMP:20260604T054952
CREATED:20230112T150614Z
LAST-MODIFIED:20230217T195921Z
UID:10000592-1674813600-1674819000@micde.umich.edu
SUMMARY:Matching with R
DESCRIPTION:Audience: Researchers who are use or are interested in using matching. Taught in R (familiarity is assumed) but concepts transfer to other software.\n\nAn introduction to matching\, such as propensity score matching\, using R’s “optmatch” package. We will discuss the theory behind matching and propensity scores\, followed by examples using R to perform the matching and judging the match quality\, as well as speeding up the matching operation.r
URL:https://micde.umich.edu/event/matching-with-r/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
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=America/Detroit:20230126T163000
DTEND;TZID=America/Detroit:20230126T170000
DTSTAMP:20260604T054952
CREATED:20230104T090003Z
LAST-MODIFIED:20230809T191218Z
UID:10000595-1674750600-1674752400@micde.umich.edu
SUMMARY:PhD Seminar: Gurmeet Singh
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nGurmeet Singh\, PhD Candidate\, Aerospace Engineering and Scientific Computing\nGurmeet is a Ph.D. candidate in the Department of Aerospace Engineering. His research interests lie in the field of computational solid mechanics focusing on constitutive behavior of materials. He works in Prof. Veera Sundararaghavan’s research group\, and his PhD dissertation focuses on the multiscale modeling of vitrimers and semi-crystalline polymers. \nUnderstanding thermomechanical behavior of vitrimers using molecular dynamics simulations\nVitrimers are a special class of polymers that undergo dynamic cross-linking under thermal stimuli. Their ability to exchange covalent bonds can be harnessed to mitigate damage in a composite or to achieve recyclable composites. This work addresses the primary challenge of modeling dynamic cross-linking reactions in vitrimers during thermomechanical loading. Dynamic bond exchange reaction probability change during heating and its effect on dilatometric and mechanical response are simulated in large scale molecular dynamics (MD) simulations. Healing of damage under thermal cycling is computed with mechanical properties predicted before and after self–healing. \nSubsequently\, the model is used to simulate the creep response of the vitrimer. The results show that the vitrimers demonstrate a secondary creep response on contrary to pure epoxy. The MD simulations are able to probe the interplay between chemical reactions and the loading that results in the healing of the vitrimer under creep. The important feature that explains the difference between epoxies and vitrimers is the orientation of the crosslink bonds with respect to the loading direction. Furthermore\, it is found that the free volume that arises from tensile loads is reduced in vitrimers through dynamic bond rearrangement. The bond orientation\, however\, is preferentially chosen to be normal to the loading axis which ends up decreasing the stiffness along the loading axis\, leading to higher strain as compared to epoxies. Over longer timescales\, the increased strain leads to faster damage localization in tertiary creep where the largest void grows to a critical volume beyond which healing is no longer possible. Thus\, chemistry changes or additives that can prevent the initial realignment of dynamic bonds can be an effective strategy to mitigate creep in vitrimers. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-gurmeet-singh-2/
LOCATION:Weiser Hall\, 6th Floor\, 619\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/2023-Winter-Singh.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230126T160000
DTEND;TZID=America/Detroit:20230126T163000
DTSTAMP:20260604T054952
CREATED:20230104T090003Z
LAST-MODIFIED:20230809T191357Z
UID:10000588-1674748800-1674750600@micde.umich.edu
SUMMARY:PhD Seminar: Alex Hrabski
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nAlex Hrabski\, PhD Candidate\, Naval Architecture & Marine Engineering and Scientific Computing\nAlex is a PhD candidate in the department of Naval Architecture and Marine Engineering\, working in Yulin Pan’s Flow Physics and Engineering Lab to study nonlinear waves. His research seeks to leverage modern computational capabilities to explore wave turbulence theory and the physics that it seeks to describe. \nInvestigations of Wave Turbulence in Bounded Domains\nNonlinear wave systems are ubiquitous in nature\, and when many incoherent dispersive waves interact\, there is the potential for wave turbulence. Just as in hydrodynamic turbulence (HDT)\, systems in wave turbulence exhibit inter-scale energy cascades\, power-law inertial-range spectra\, and even intermittency. Unlike in HDT\, however\, a natural analytical closure for field statistics has been developed: spectral evolution in wave turbulence can be expressed as a Boltzmann-like kinetic equation. In this talk\, we will numerically probe the interplay of nonlinear strength and domain size (critical quantities to the analytical closure) in determining the behaviors of wave turbulence in a model system. Our numerical experiments demonstrate that (a) domain aspect ratio plays a key role in spectral evolution when nonlinearity is weak\, (b) that near-resonant interactions are important for the observation of kinetic behavior\, and (c) evaluations of the energy cascade can be used to investigate the wave turbulence closure. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-alex-hrabski/
LOCATION:Weiser Hall\, 6th Floor\, 619\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/2023-Winter-Hrabski.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230123T150000
DTEND;TZID=America/Detroit:20230123T160000
DTSTAMP:20260604T054952
CREATED:20221222T184418Z
LAST-MODIFIED:20230810T200557Z
UID:10000589-1674486000-1674489600@micde.umich.edu
SUMMARY:MICDE Seminar: Albert Berahas Assistant Professor of Industrial and Operations Engineering at the University of Michigan
DESCRIPTION:Albert S. Berahas is an Assistant Professor in the Industrial and Operations Engineering department at the University of Michigan. Before joining the University of Michigan\, he was a Postdoctoral Research Fellow in the Industrial and Systems Engineering department at Lehigh University working with Professors Katya Scheinberg\, Frank Curtis and Martin Takáč. Prior to that appointment\, he was a Postdoctoral Research Fellow in the Industrial Engineering and Management Sciences department at Northwestern University working with Professor Jorge Nocedal. Berahas completed his PhD studies in the Engineering Sciences and Applied Mathematics (ESAM) department at Northwestern University in 2018\, advised by Professor Jorge Nocedal. He received his undergraduate degree in Operations Research and Industrial Engineering (ORIE) from Cornell University in 2009\, and in 2012 obtained an MS degree in Applied Mathematics from Northwestern University. Berahas’ research broadly focuses on designing\, developing and analyzing algorithms for solving large scale nonlinear optimization problems. Specifically\, he is interested in and has explored several sub-fields of nonlinear optimization such as: (i) general nonlinear optimization algorithms\, (ii) optimization algorithms for machine learning\, (iii) constrained optimization\, (iv) stochastic optimization\, (v) derivative-free optimization\, and (vi) distributed optimization. \n  \nALGORITHMS FOR DETERMINISTICALLY CONSTRAINED STOCHASTIC OPTIMIZATION \nStochastic gradient and related methods for solving stochastic optimization problems have been studied extensively in recent years. It has been shown that such algorithms and much of their convergence and complexity guarantees extend in straightforward ways when one considers problems involving simple constraints\, such as when one can perform projections onto the feasible region of the problem. However\, settings with general nonlinear constraints have received less attention\, and many of the approaches that have been proposed for solving such problems resort to using penalty or (augmented) Lagrangian methods\, which are often not the most effective strategies. In this work\, we propose and analyze stochastic optimization algorithms for deterministically constrained problems based on the sequential quadratic optimization (commonly known as SQP) methodology. We discuss the rationale behind our proposed techniques\, convergence in expectation and complexity guarantees for our algorithms\, and the results of preliminary numerical experiments that we have performed. This is joint work with Raghu Bollapragada\, Frank E. Curtis\, Michael O’Neill\, Daniel P. Robinson\, Jiahao Shi and Baoyu Zhou. \n  \n\nThe MICDE Winter 2023 Seminar Series is open to all. \nThis seminar is hosted by the Michigan Institute for Computational Discovery & Engineering (MICDE). Prof. Berahas will be hosted by Prof. Siqian Shen\, Associate Professor of Industrial and Operations Engineering and Associate Professor of Civil and Environmental Engineering. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/albert-berahas-assistant-professor-of-industrial-and-operations-engineering-university-of-michigan/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/12/Albert-Berahas.png
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:20230117T140000
DTEND;TZID=America/Detroit:20230117T150000
DTSTAMP:20260604T054952
CREATED:20221222T184418Z
LAST-MODIFIED:20230714T152222Z
UID:10000590-1673964000-1673967600@micde.umich.edu
SUMMARY:MICDE Seminar: Mark Vogelsberger Associate Professor of Physics\, Massachusetts Institute of Technology
DESCRIPTION:WATCH THE RECORDING HERE \nProfessor Vogelsberger grew up in Germany\, and received his undergraduate degree in physics from the University of Mainz and his Ph.D from the University of Munich and the Max Planck Institute for Astrophysics in 2010\, advised by Prof. Simon D.M. White. In 2009 he won the Rudolf Kippenhahn Prize for his thesis work. He was an ITC postdoctoral fellow at the Harvard-Smithsonian Center for Astrophysics from 2009-2012\, and a Hubble fellow from 2012-2013. In 2014\, Dr. Vogelsberger joined the MIT physics faculty as Assistant Professor. In 2016 he won an Alfred P. Sloan Fellowship in Physics. Professor Vogelsberger was promoted to Associate Professor in 2018. Professor Vogelsberger is a theoretical astrophysicist whose research interests broadly cover structure and galaxy formation\, dark matter physics and large-scale hydrodynamical simulations. He makes extensive use of numerical simulations using state-of-the-art high-performance supercomputers around the world. \n  \nSIMULATING EARLY STRUCTURE AND GALAXY FORMATION – THE THESAN PROJECT \nCosmological simulations of galaxy formation have evolved significantly over the last decade. In my talk I will describe recent efforts to model the\nlarge-scale distribution of galaxies with cosmological hydrodynamical simulations. The focus of the talk will be a discussion of our new simulation\ncampaign\, the THESAN project\, to study the epoch of re-ionization and the early Universe. \n  \n\nThe MICDE Winter 2023 Seminar Series is open to all. University of Michigan faculty and students interested in cosmology are encouraged to attend. \nThis seminar is hosted by the Michigan Institute for Computational Discovery & Engineering (MICDE). Prof. Vogelsberger will be hosted by Prof. Monica Valluri\, Research Professor of Astronomy. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/mark-vogelsberger-associate-professor-of-physics-massachusetts-institute-of-technology-2/
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/12/Mark-Vogelsberger.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230112T160000
DTEND;TZID=America/Detroit:20230112T163000
DTSTAMP:20260604T054952
CREATED:20211021T140003Z
LAST-MODIFIED:20230809T191524Z
UID:10000550-1673539200-1673541000@micde.umich.edu
SUMMARY:PhD Seminar: Ismael Mendoza
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nIsmael Mendoza\, PhD Candidate\, Physics and Scientific Computing\nIsmael is a 4th year Physics PhD student working in the area of cosmology. His research focuses on developing novel statistical and machine learning methods to analyze astronomical images from state-of-the-art telescopes. \nGitHub \nMachine Learning in Cosmology\nIn the upcoming decades\, we will have the opportunity to solve some of the biggest questions about our universe by taking advantage of the huge amounts of data produced by upcoming state-of-the-art cosmological experiments. In order to harness the full statistical power of this data\, we will need to develop scalable and accurate algorithms that can extract its maximal information. Recent advances in Machine Learning have demonstrated its ability to overcome the computational bottlenecks of traditional statistical techniques and even achieve better performance when analyzing cosmology data. In this talk\, I will give a brief overview of the open problems in cosmology\, motivate how Machine Learning (ML) could help us answer these by enabling novel analyses of upcoming cosmological surveys\, and give a specific application of ML enabling probabilistic detection and measurement of galaxy images. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-ismael-mendoza-2/
LOCATION:Weiser Hall\, 6th Floor\, 619\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/Mendoza.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221202T130000
DTEND;TZID=America/Detroit:20221202T153000
DTSTAMP:20260604T054952
CREATED:20221020T171929Z
LAST-MODIFIED:20230217T195908Z
UID:10000584-1669986000-1669995000@micde.umich.edu
SUMMARY:Introduction to R: Data Visualization with ggplot2
DESCRIPTION:This is a series of workshops to introduce the R programming language\, as well as using R for data management\, manipulation and visualization. No prior experience with R is required. These workshops are divided into the following three sessions:\n \n1. The Basics of R — Basic concepts and commands of the R programming language.\n2. Data Management and Manipulation — Exploring\, organizing and manipulating data using dplyr syntax.\n3. Data Visualization – Create informative graphics with improved quality and aesthetics using ggplot2.\n \nIt is not required to attend all three sessions. However\, sessions are built on each other and it is assumed that participants are familiar with materials presented in earlier sessions. b
URL:https://micde.umich.edu/event/introduction-to-r-data-visualization-with-ggplot2/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221201T160000
DTEND;TZID=America/Detroit:20221201T170000
DTSTAMP:20260604T054952
CREATED:20211021T140003Z
LAST-MODIFIED:20260522T141801Z
UID:10000549-1669910400-1669914000@micde.umich.edu
SUMMARY:PhD Seminar: Meichen Liu
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speakers:\nMeichen Liu\, PhD Candidate\, Earth and Environmental Science and Scientific Computing\nShe works with Professor Jeroen Ritsema in the department of Earth and Environmental Sciences. Her research involves characterizing earthquake sources as well as imaging structures in deep Earth. \nInfluence of shear wave velocity heterogeneity on SH-wave reverberation imaging of the mantle transition zone\nWe use the top-side shear wave reflection Ssds as a probe for mapping the depths of the mantle transition zone (MTZ) beneath the contiguous US. Using a common-reflection point (CRP) mapping approach\, we observe that the MTZ are about 40–50 km deeper beneath the western United States than the central-eastern United States if based on the 1-D Earth wave velocity model (Preliminary Reference Earth Model). However\, the east-to-west deepening of the MTZ disappears in the CRP image if we account for 3-D shear wave velocity variations in the mantle according to global tomography. In addition\, from spectral-element method synthetics\, we find that ray theory overpredicts the traveltime delays of the reverberations. Undulations of the MTZ are underestimated when their wavelengths are smaller than the Fresnel zones of the wave reverberations in the MTZ. Therefore\, modelling of layering in the upper mantle must be based on 3-D reference structures and accurate calculations of reverberation traveltimes. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-meichen-liu/
LOCATION:Weiser Hall\, 6th Floor\, 619\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
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DTSTART;TZID=America/Detroit:20221201T130000
DTEND;TZID=America/Detroit:20221201T153000
DTSTAMP:20260604T054952
CREATED:20221020T170204Z
LAST-MODIFIED:20230217T195908Z
UID:10000583-1669899600-1669908600@micde.umich.edu
SUMMARY:Introduction to R: Data Management and Manipulation with dplyr
DESCRIPTION:This is a series of workshops to introduce the R programming language\, as well as using R for data management\, manipulation and visualization. No prior experience with R is required. These workshops are divided into the following three sessions:\n \n1. The Basics of R — Basic concepts and commands of the R programming language.\n2. Data Management and Manipulation — Exploring\, organizing and manipulating data using dplyr syntax.\n3. Data Visualization – Create informative graphics with improved quality and aesthetics using ggplot2.\n \nIt is not required to attend all three sessions. However\, sessions are built on each other and it is assumed that participants are familiar with materials presented in earlier sessions. 
URL:https://micde.umich.edu/event/introduction-to-r-data-management-and-manipulation-with-dplyr/
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221130T130000
DTEND;TZID=America/Detroit:20221130T153000
DTSTAMP:20260604T054952
CREATED:20221020T165529Z
LAST-MODIFIED:20230217T195907Z
UID:10000582-1669813200-1669822200@micde.umich.edu
SUMMARY:Introduction to R: The Basics of R
DESCRIPTION:This is a series of workshops to introduce the R programming language\, as well as using R for data management\, manipulation and visualization. No prior experience with R is required. These workshops are divided into the following three sessions:\n \n1. The Basics of R — Basic concepts and commands of the R programming language.\n2. Data Management and Manipulation — Exploring\, organizing and manipulating data using dplyr syntax.\n3. Data Visualization – Create informative graphics with improved quality and aesthetics using ggplot2.\n \nIt is not required to attend all three sessions. However\, sessions are built on each other and it is assumed that participants are familiar with materials presented in earlier sessions. 
URL:https://micde.umich.edu/event/introduction-to-r-the-basics-of-r/
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221117T160000
DTEND;TZID=America/Detroit:20221117T163000
DTSTAMP:20260604T054952
CREATED:20211021T140003Z
LAST-MODIFIED:20230809T191957Z
UID:10000548-1668700800-1668702600@micde.umich.edu
SUMMARY:PhD Seminar: Khoi Dang
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nKhoi Dang\, PhD Candidate\, Chemistry and Scientific Computing\nKhoi is a 5th year graduate student in the Chemistry Department currently developing electronic structure theory methods in the Zimmerman Group. \nParallel Heat-bath Configuration Interaction\nThe heat-bath configuration interaction (HBCI) method is a deterministic wave function method that approaches the full CI limit at greatly reduced cost. HBCI consists of two parts: the generation of a variational wave function\, followed by a perturbative correction. This work introduces a parallel implementation that is highly scalable and overcomes the memory bottleneck of perturbation theory. The implementation demonstrates 83% parallel efficiency for the perturbative step on 32 nodes. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-khoi-dang/
LOCATION:Weiser Hall\, 6th Floor\, 619\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221116T153000
DTEND;TZID=America/Detroit:20221116T163000
DTSTAMP:20260604T054952
CREATED:20220825T193358Z
LAST-MODIFIED:20230713T163322Z
UID:10000579-1668612600-1668616200@micde.umich.edu
SUMMARY:MICDE Seminar: Miguel Bessa Associate Professor of Engineering\, Brown University
DESCRIPTION:Miguel Bessa is an Associate Professor in the School of Engineering at Brown University. His research interests include computational mechanics and materials science\, development of numerical methods\, machine learning and optimization\, multi-scale modeling of materials and structures. Miguel Bessa and his research group envision a new era for the design of materials and structures using artificial intelligence. Miguel received a PhD in Mechanical Engineering from Northwestern University in 2016 as a Fulbright scholar. After a short postdoctoral position at Caltech (2017) and a quick leap from Assistant to Associate Professor (2021) at Delft University of Technology\, he joined the Solid Mechanics Group at Brown University in the Summer of 2022. \nCOOPERATIVE DATA-DRIVEN MODELING \nThe human brain is capable of learning tasks mostly without forgetting. However\, deep neural networks suffer from catastrophic forgetting when learning tasks one after the other. We address this challenge considering a class-incremental learning scenario where the network sees test data without knowing its origin. We show the best results to date for the ImageNet dataset\, outperforming by more than 20% the state of the art. The proposed method is also applied to learn material laws\, illustrating its versatility. This strategy is believed to open new avenues for cooperation among different researchers and practitioners. \n  \n\nThe MICDE Fall 2022 Seminar Series is open to all. \nThis seminar is hosted by the Michigan Institute for Computational Discovery & Engineering (MICDE). Prof. Bessa will be hosted by Prof. Krishna Garikipati\, Professor of Mechanical Engineering and Mathematics and Director of MICDE. \nThis is an in-person event\, Zoom link will only be provided upon request. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu \nWATCH THE RECORDING HERE.
URL:https://micde.umich.edu/event/micde-seminar-miguel-bessa-associate-professor-of-engineering-brown-university/
LOCATION:1303 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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