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DTSTART;TZID=America/Detroit:20241014T121500
DTEND;TZID=America/Detroit:20241014T131500
DTSTAMP:20240926T204844Z
CREATED:20240924T215157Z
LAST-MODIFIED:20240926T204844Z
UID:10000758-1728908100-1728911700@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminars
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 request that all who plan to attend register in advance. \nIf you have any questions\, please email micde-phd@umich.edu.
URL:https://micde.umich.edu/event/workshop-seminarph-d-in-scientific-computing-student-seminars-14/
LOCATION:Undergraduate Science Building – 1250
CATEGORIES:Micde,Phd Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20240416T120000
DTEND;TZID=America/Detroit:20240416T130000
DTSTAMP:20240414T192856Z
CREATED:20240220T232015Z
LAST-MODIFIED:20240414T192856Z
UID:10000676-1713268800-1713272400@micde.umich.edu
SUMMARY:Workshop / Seminar:MICDE Ph.D. Student Seminar: Anna Halstenbach and Katie Nissen
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 all attendees register so that we can prepare properly. If you have any questions\, please email micde-events@umich.edu. \nRegister to attend this seminar \n  \nAnna Halstenbach: “Uncovering the network of political parties’ event sponsors in Germany”\nGray money in politics – those contributions that don’t fall under transparency regulations but cannot be made completely anonymous either\, for example sponsorships of political parties’ events – could change our understanding of money as a signal. However\, the fact that neither political parties nor firms are obliged to disclose such transactions makes studying them difficult. In the talk\, I will present one approach to measure gray money on the basis of tweets from party conferences.\n\nAnna Halstenbach\, Ph.D. candidate in Political Science and Scientific Computing\nAnna earned her Bachelor’s degree from the University of Mannheim and her Master’s degree from Heinrich Heine University Düsseldorf. Her current research analyzes the distinct incentives within the regulatory frameworks governing political party finances in Germany and the United States. Additionally\, she explores the impact of consumer behavior on firms’ decisions to be vocal about their political donations and take controversial political stances.\n\n\n\nRegister to attend this seminar\n\n\n\nKatie Nissen: “Climate Change Protests and Gender: The Influence of Role Incongruence on Support for Social Movements”\nIn recent years\, we have seen an increase in the incidences of radical protests about climate change in response to lackluster mitigation efforts worldwide. Historically\, the environmental movement as a whole has long been an issue space where women have held prominent leadership positions. However\, role congruity theory posits that women – due to being perceived as more passive and docile than men – may not be regarded as “proper” leaders of social movements\, especially when such movements use radical tactics. How does the interaction of protest tactics and leadership gendering affect support for the current climate movement? In this paper\, we report the results of a pilot survey experiment to address this question. Respondents were exposed to mock news stories about climate protests where they received one of four treatment conditions that varied the protest characteristics between combinations of radical/traditional tactics and women leadership/gender of leadership not specified. Respondents were then asked to report on their level of support for the movement\, level of support for the protest\, and the likelihood of the movement’s success. We also asked respondents to write in their most important reason for supporting the movement or not\, to which we applied basic topic modelling to extract key themes. Ultimately\, our pilot results show support for notion that radical protest tactics harm both support and perceptions of the movement\, but that gender of the protest leadership does not make a significant difference. We believe that the latter result is most likely due to weakness of the gender treatment in the survey experiment\, so future iterations of this work will seek to develop a stronger prime for this component of our analysis.\n\nKatie Nissen\, Ph.D. candidate in Political Science and Scientific Computing\nKatie is a current fourth year Joint PhD Candidate in Political Science and Scientific Computing. Her research is primarily about factors that influence climate change discourse and public opinion\, and her dissertation will focus on the effects of optimism and pessimism on climate attitudes.\n  \nRegister to attend this seminar
URL:https://micde.umich.edu/event/workshop-seminarmicde-ph-d-student-seminar-anna-halstenbach-and-katie-nissen/
LOCATION:Duderstadt Center – 1180
CATEGORIES:Phd Seminar,Scientific Computing,Seminar,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20240409T120000
DTEND;TZID=America/Detroit:20240409T130000
DTSTAMP:20240405T124240Z
CREATED:20240220T232015Z
LAST-MODIFIED:20240405T124240Z
UID:10000675-1712664000-1712667600@micde.umich.edu
SUMMARY:MICDE Ph.D. Student Seminar: Jeffrey Hatch and Jiadong Chen
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 all attendees register so that we can prepare properly. If you have any questions\, please email micde-events@umich.edu. \nRegister to attend this seminar \n  \nJeffrey Hatch: An introduction to the many-body basis set amelioration method\nModeling the interaction of subatomic particles in chemical species has become a routine part of modern chemical research as this analysis can be used to find a system’s energy\, thermodynamic properties and more. The algorithms that can accomplish this vary in their accuracy and computational cost\, with more accurate methods generally incurring more cost. Additionally\, the more subatomic particles present\, the more costly the calculation will be. A computationally intensive family of methods known as select configuration interaction methods are generally thought of as the most accurate and most computationally expensive family of methods. However\, due to their high cost\, it is requisite that we investigate mechanisms of diminishing the cost while maintaining accuracy. The nature of one such method\, incremental full configuration interaction (iFCI) lends itself to accurate extrapolations based on much cheaper levels of theory in smaller basis sets. This is known as the many-body basis set amelioration (MBBSA) method. The MBSSA method has be shown to reduce the cost of a given calculation by as much as 80% without loss in the accuracy of the calculation.\n\nJeffrey Hatch\, Ph.D. candidate in Chemistry and Scientific Computing\nJeffrey is in the Zimmerman group in the chemistry department. He is interested in using HPC methods to improve quantum chemical calculations especially in the configuration interaction realm of electronic structure calculations.\n\n\n\nRegister to attend this seminar\n\n\n\nJiadong Chen: High dimensional phase diagrams: Engineering relative stability in 4-dimensions\nSequential learning algorithms based on Bayesian optimization are routinely being deployed for materials stability optimization in high-parameter spaces. We anticipate these optimization methods would perform better if they were built upon stronger priors\, for example\, as derived from the fundamental thermodynamics underlying the equilibrium behavior of materials. Here\, we present a thermodynamics-based technique to optimize the relative stability of a materials in high-dimensional thermodynamic space\, based on a new derivation of a generalized high-dimensional Clausius Clapeyron relation. Using this thermodynamic infrastructure\, we design several pathways to enhance the relative acid stability of Mn-oxides versus its dissolved states for potential electrochemical catalyst application. We construct a 4-D Pourbaix diagram with pH\, redox potential E\, particle radius 1/R and a chemical potential μK as axis. By exploring the gradients of the high-dimensional phase boundaries\, we derive first-principles insights that nano-sizing (1/R) and certain doping ions (μK) can stabilize some metastable Mn-oxides polymorphs\, where 1/R decreases acid stability and μK increases it. Our high-dimensional thermodynamic framework is a general method to engineer relative stability in parameter spaces that leverage multiple forms of thermodynamic work.\n\nJiadong Chen\, Ph.D. candidate in Materials Science and Engineering and Scientific Computing\nJiadong Chen is a 5th year PhD in materials science and engineering department\, Wenhao Sun group\, focusing on use computational and data-driven methods to predict materials stability and synthesis recipes.\n  \nRegister to attend this seminar
URL:https://micde.umich.edu/event/workshop-seminarmicde-ph-d-student-seminar-jeffrey-hatch-and-jiadong-chen/
LOCATION:Duderstadt Center – 1180
CATEGORIES:Phd Seminar,Scientific Computing,Seminar,Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20240312T120000
DTEND;TZID=America/Detroit:20240312T130000
DTSTAMP:20240220T232015Z
CREATED:20240220T232015Z
LAST-MODIFIED:20240220T232015Z
UID:10000674-1710244800-1710248400@micde.umich.edu
SUMMARY:Workshop / Seminar:MICDE Ph.D. Student Seminar: Hannah Van Wyk and Musawer Ahmad Saqif
DESCRIPTION:Hannah Van Wyk will present her talk: Using a hidden markov model to pinpoint the date of the primary case in a dengue outbreak in rural Ecuador.\nAn infectious disease outbreak investigation typically consists of retrospectively determining information regarding the outbreak such as the timing of the primary case (the first case of the outbreak\, whether detected or not) and transmission dynamics that occurred prior to the outbreak. However\, information on the primary case is often hard to obtain\, especially in scenarios where the disease has a high asymptomatic ratio. Using a hidden Markov model\, we estimate the most likely date of the primary case of a dengue outbreak in a small community in northern coastal Ecuador.\n*Bio*:\nHannah is a doctoral student in the Department of Epidemiology. Her research involves using mathematical models of infectious diseases to understand transmission dynamics. She has a background in mathematics and computer science at her undergraduate institution and a Master of Public Health in Epidemiology.\nMusawer Ahmad Saqif will present his talk: Fracture and Collapse Simulation of UHPC Structures.\nThis presentation delves into the advanced simulation techniques for understanding the fracture and collapse behaviors of ultra-high performance concrete (UHPC) structures. Leveraging finite element modeling and experimental validation\, the study elucidates the critical mechanical properties and failure mechanisms of UHPC under various conditions. Through a detailed investigation of microstructural characteristics and their impact on macroscopic performance\, the research provides valuable insights into optimizing the design and resilience of UHPC structures against extreme loading scenarios. The findings contribute significantly to the field of civil engineering by enhancing the predictive capabilities for the structural integrity and durability of UHPC infrastructures.\n*Bio*:\nM. A. Saqif is a fifth year PhD student in Civil Engineering and Scientific Computing at the Computational Structural Simulation Lab. His research interest lies in fracture and collapse simulation of concrete structures.\n*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.\nIf you have any questions\, please email micde-events@umich.edu.*
URL:https://micde.umich.edu/event/workshop-seminarmicde-ph-d-student-seminar-hannah-van-wyk-and-musawer-ahmad-saqif/
LOCATION:Duderstadt Center – 1180
CATEGORIES:Phd Seminar,Scientific Computing,Seminar,Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20240305T120000
DTEND;TZID=America/Detroit:20240305T123000
DTSTAMP:20240223T215755Z
CREATED:20240220T232014Z
LAST-MODIFIED:20240223T215755Z
UID:10000673-1709640000-1709641800@micde.umich.edu
SUMMARY:MICDE Ph.D. Student Seminar: Lingfeng Luo
DESCRIPTION:Please register to attend \nLingfeng Luo will present: Gradient Boosting-Based Discrete Failure Time Model for Selecting Time-Varying Effects and Interactions as a part of the MICDE PhD Student Seminar Series. \nThe 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 all attendees register in advance so that we can be prepared with lunch for all attendees. \nIf you have any questions\, please email micde-events@umich.edu. \nPlease register to attend
URL:https://micde.umich.edu/event/micde-ph-d-student-seminar-lingfeng-luo/
LOCATION:Duderstadt Center – 1180
CATEGORIES:Biostatistics,Phd Seminar,Scientific Computing,Seminar,Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20231205T120000
DTEND;TZID=America/Detroit:20231205T130000
DTSTAMP:20231204T192114Z
CREATED:20230926T191303Z
LAST-MODIFIED:20231204T192114Z
UID:10000654-1701777600-1701781200@micde.umich.edu
SUMMARY:MICDE Ph.D. Student Seminars 2023-2024: Jeffrey Hatch
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. \nComputational Methods in Chemistry\nAbstract coming soon… \nJeffrey Hatch\, Ph.D. candidate in Chemistry and Scientific Computing \nBio coming soon… \nRegister to attend this seminar
URL:https://micde.umich.edu/event/phd-seminar-jeffrey-hatch/
LOCATION:2022 South Thayer Building
CATEGORIES:Computation,Computational Modeling,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,Sessions,Talk
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20231128T120000
DTEND;TZID=America/Detroit:20231128T130000
DTSTAMP:20260522T152930Z
CREATED:20230914T150100Z
LAST-MODIFIED:20260522T152930Z
UID:10000641-1701172800-1701176400@micde.umich.edu
SUMMARY:MICDE Ph.D. Student Seminars 2023-2024: Guoer Liu
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 \nWhen Is Big Data Biased?\nUsing automation technology to gather and disseminate information to the public is commonly viewed as a government-led effort to enhance oversight and address the principal-agent problem in bureaucracy. However\, focusing on the expansion of China’s automatic ambient air quality monitoring network in the last decade (2012-2022)\, I argue that technology is being utilized as a tool to emphasize optics but overlook the substantive problems. I illustrate the idea with multiple original georeferenced data sets on the automatic monitoring network\, pollution sources\, and satellite-derived vegetation density across time and space. I show that\, while the automation initiative has improved the data quality in some ways\, the undersupply of automatic monitoring stations\, over-represented clean locations\, and non-random missing pollution records continue to contribute to inaccurate air pollution information. As long as political incentives to manipulate information persist\, actors can mold technology that operates without human intervention to serve their own interests. \nGuoer Liu\, Ph.D. candidate in Political Science and Scientific Computing\nGuoer Liu is a Ph.D. candidate in Political Science. Her dissertation project\, ‘‘From Oversight to Overlook’’ investigates how political determinants distort the technology infrastructure and create seemingly credible but inaccurate information to the public. \nAdvisors: Mary Gallagher\, Charles Shipan \nRegister to attend this seminar
URL:https://micde.umich.edu/event/phd-seminar-guoer-liu/
LOCATION:2022 South Thayer Building
CATEGORIES:Computation,Computational Modeling,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,Sessions,Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20231114T123000
DTEND;TZID=America/Detroit:20231114T130000
DTSTAMP:20231103T200940Z
CREATED:20230914T150100Z
LAST-MODIFIED:20231103T200940Z
UID:10000640-1699965000-1699966800@micde.umich.edu
SUMMARY:MICDE Ph.D. Student Seminars: Jamie Holber
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. \nActive Learning for Physics Informed Data Sampling and Construction of Free Energy Representations\nUsing automation technology to gather and disseminate information to the public is commonly viewed as a government-led effort to enhance oversight and address the principal-agent problem in bureaucracy. However\, focusing on the expansion of China’s automatic ambient air quality monitoring network in the last decade (2012-2022)\, I argue that technology is being utilized as a tool to emphasize optics but overlook the substantive problems. I illustrate the idea with multiple original georeferenced data sets on the automatic monitoring network\, pollution sources\, and satellite-derived vegetation density across time and space. I show that\, while the automation initiative has improved the data quality in some ways\, the undersupply of automatic monitoring stations\, over-represented clean locations\, and non-random missing pollution records continue to contribute to inaccurate air pollution information. As long as political incentives to manipulate information persist\, actors can mold technology that operates without human intervention to serve their own interests. \nJamie Holber\, Ph.D. candidate in Applied Physics and Scientific Computing \nJamie Holber is a PhD Candidate in Applied Physics and Scientific Computing working in the Computational Physics Group in the Mechanical Engineering Department. \nAdvisor: Krishna Garikipati \nRegister to attend this seminar
URL:https://micde.umich.edu/event/phd-seminar-jamie-holber/
LOCATION:2022 South Thayer Building
CATEGORIES:Computation,Computational Modeling,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,Sessions,Talk
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20231107T120000
DTEND;TZID=America/Detroit:20231107T130000
DTSTAMP:20231019T200916Z
CREATED:20230914T150100Z
LAST-MODIFIED:20231019T200916Z
UID:10000639-1699358400-1699362000@micde.umich.edu
SUMMARY:MICDE Ph.D. Student Seminars: Bernardo Pacini & Srinivasan Arunachalam
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 \nGradient-Based Multidisciplinary Design Optimization for Propeller Design\nUrban air mobility (UAM) vehicles have taken form as advanced rotorcraft with sets of wings\, rotors\, canards\, and other appendages. Noise generation is an important technical barrier that must be addressed to prevent these vehicles from causing excessive disturbance to the communities they are intended to service. To understand the noise these vehicles generate\, and to develop designs that can minimize disturbance\, there is a need for analysis and optimization tools specifically for the conceptual design and sizing phase of urban air mobility vehicle development. Such tools must be computationally efficient to allow for the repeated analyses needed for design optimization. This presentation will review the work being carried out at the University of Michigan\, coupling aerodynamic\, structural\, and aeroacoustic disciplines within the multidisciplinary gradient-based design optimization framework OpenMDAO. While aerostructural optimization has been performed previously\, coupling with aeroacoustics is challenging given the requirement for time accurate simulations and the associated computational cost of such analyses. By leveraging multiple model fidelities and utilizing efficient gradient calculation techniques\, such as the adjoint method and algorithmic differentiation\, these disciplines can be formulated into an optimization framework that can be applied to UAM vehicle designs. This presentation will review the work completed to date\, including preliminary results\, and expand on the future goals of the project\, working towards a broader optimization framework for rotorcraft vehicle design optimization. \nBernardo Pacini\, Ph.D. candidate in Mechanical Engineering and Scientific Computing \nBernardo Pacini is a Ph.D. Candidate at the University of Michigan focusing his research on aerodynamic\, structural\, and aeroacoustic modeling for multidisciplinary design optimization of urban air mobility vehicles. He is a member of the Multidisciplinary Design Optimization Laboratory led by Professor Joaquim R. R. A. Martins and of the Computational Aerosciences Laboratory led by Professor Karthik Duraisamy. Bernardo’s work to date is on developing an aero-structural-acoustic analysis framework that can be implemented within the multidisciplinary design optimization process for rotorcraft and urban air mobility vehicle design. \nRegister to attend this seminar \nValidation of a multivariate non-Gaussian\, non-stationary wind pressure simulation model for performance-based wind engineering\nWith a growing interest in probabilistic performance assessments of building systems subjected to wind loads\, there is a demand for accurately representing building-specific wind loads\, considering their non-Gaussian and non-stationary features. While typical wind tunnel data collected for a set of discrete wind directions provide a single realization of stationary pressures\, there is currently no experimentally validated model for the stochastic simulation of non-Gaussian and non-stationary wind pressures that can be calibrated to wind tunnel datasets. Such a model is essential for simulating building aerodynamics\, especially the stochastic\, path-dependent responses associated with time-varying wind speed and direction experienced by a building during hurricane wind events. This talk will review a recently developed theoretical formulation for generating these stochastic pressures. Through carefully designed tests conducted at the University of Florida wind tunnel facility\, the formulation was extensively validated with respect to its ability to capture trends over time\, occurrences of peaks\, and time-varying frequency content. \nSrinivasan Arunachalam\, Ph.D. candidate in Civil and Environmental Engineering and Scientific Computing \nSrinivasan Arunachalam is a PhD candidate in Civil and Environmental Engineering. His research interests lie in uncertainty quantification and understanding the inelastic behavior of wind-excited structures. He is excited about the algorithmic developments that enable efficient reliability assessments\, as well as the evolving insights into the physics of extreme responses and their implications for structural design. \nRegister to attend this seminar
URL:https://micde.umich.edu/event/phd-seminar-bernardo-pacini-srinivasan-arunachalam/
LOCATION:2022 South Thayer Building
CATEGORIES:Computation,Computational Modeling,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,Sessions,Talk
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230926T123000
DTEND;TZID=America/Detroit:20230926T130000
DTSTAMP:20230921T195259Z
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
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