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DTSTART;TZID=America/Detroit:20260415T080000
DTEND;TZID=America/Detroit:20260415T170000
DTSTAMP:20260618T113720
CREATED:20260116T194943Z
LAST-MODIFIED:20260127T161037Z
UID:10000854-1776240000-1776272400@micde.umich.edu
SUMMARY:2026 MICDE Predictive Science Conference
DESCRIPTION:This conference will center around predictive science. Fueled by advances in artificial intelligence and high-performance computing\, predictive science is poised to evolve dramatically over the next few years. Featuring presentations and panel discussions from leading voices across academia\, national laboratories\, industry\, and the government\, the conference will bring together researchers in high-performance computing\, verification and validation\, uncertainty quantification\, and artificial intelligence to discuss the state of the field of predictive science and its future outlook.
URL:https://micde.umich.edu/event/conference-symposium2026-micde-predictive-science-conference-2/
LOCATION:Palmer Commons – Forum Hall
CATEGORIES:Computation,Computational Science,Engineering,Faculty,Graduate and Professional Students,Graduate School,Graduate Students,High Performance Computing,In Person,Machine Learning,Micde,Science,Scientific Computing,symposium
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2026/01/For-web.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20260422T120000
DTEND;TZID=America/Detroit:20260422T130000
DTSTAMP:20260618T113720
CREATED:20260116T194944Z
LAST-MODIFIED:20260522T154547Z
UID:10000855-1776859200-1776862800@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminar
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. Lunch will be served. These events are open to the public\, but we request that all who plan to attend register in advance. Planned sessions will be canceled if no one signs up to present\, and registered attendees will be notified. \nIf you have any questions\, please email micde-phd@umich.edu. \nRegister to attend \n\nThomas Coons (Mechanical Engineering and Scientific Computing)\n\nCelia Kelly (Mechanical Engineering and Scientific Computing)\n\nLiliang Wang (Aerospace Engineering and Scientific Computing)\n\nRegister to attend
URL:https://micde.umich.edu/event/phd-seminar-20260422/
LOCATION:Room 4425\, Green Court Building
CATEGORIES:Aerospace Engineering,Chemical Engineering,Chemistry,Civil and Environmental Engineering,College Of Engineering,Computation,Computational Medicine,Computational Modeling,Computational Science,Computational Social Science,Data Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,Health Behavior & Health Equity,In Person,Interdisciplinary,Machine Learning,Materials Science,Micde,Phd Seminar,Political Science,Prospective Graduate Students,Public Health,Research,Science,Scientific Computing,Sessions
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2026/01/Placeholder-WN26.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20260429T120000
DTEND;TZID=America/Detroit:20260429T130000
DTSTAMP:20260618T113720
CREATED:20260126T142044Z
LAST-MODIFIED:20260505T205036Z
UID:10000857-1777464000-1777467600@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminar
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. Lunch will be served. These events are open to the public\, but we request that all who plan to attend register in advance. Planned sessions will be canceled if no one signs up to present\, and registered attendees will be notified. \nIf you have any questions\, please email micde-phd@umich.edu. \nRegister to attend \n  \n\nProfit-Driven Polarization: The Algorithmic Market for Partisan Attention\n[Removed] \nJun Fang (Political Science and Scientific Computing)\nJun Fang is a PhD candidate at the University of Michigan\, where he is pursuing a joint degree in Political Science and Scientific Computing. \n\nGanlin Chen (Materials Science and Engineering and Scientific Computing) \n\nRegister to attend
URL:https://micde.umich.edu/event/phd-seminar-20260429/
LOCATION:Room 4425\, Green Court Building
CATEGORIES:Aerospace Engineering,Chemical Engineering,Chemistry,Civil and Environmental Engineering,College Of Engineering,Computation,Computational Medicine,Computational Modeling,Computational Science,Computational Social Science,Data Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,Health Behavior & Health Equity,In Person,Interdisciplinary,Machine Learning,Materials Science,Micde,Phd Seminar,Political Science,Prospective Graduate Students,Public Health,Research,Science,Scientific Computing,Sessions
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2026/01/4-29-Fang-Lee-Chen.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20260603T120000
DTEND;TZID=America/Detroit:20260603T130000
DTSTAMP:20260618T113720
CREATED:20260511T145029Z
LAST-MODIFIED:20260529T151942Z
UID:10000860-1780488000-1780491600@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminar
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. Lunch will be served. These events are open to the public\, but we request that all who plan to attend register in advance. Planned sessions will be canceled if no one signs up to present\, and registered attendees will be notified. \nIf you have any questions\, please email micde-phd@umich.edu. \nRegister to attend \n  \n\nPersona-Based Modeling of Human Opinion from Social Media at Population Scale\nWhat does it take to simulate a specific human being rather than a demographic stereotype? While large language models (LLMs) generate plausible human-like text\, existing simulations rely heavily on demographic correlations\, which strip away individual heterogeneity and yield concentrated\, homogenous responses. We introduce SPIRIT (Semi-structured Persona Inference and Reasoning for Individualized Trajectories)\, a framework designed explicitly for simulation rather than prediction. SPIRIT infers psychologically grounded\, semi-structured personas from public social-media traces\, integrating structured attributes (e.g.\, personality traits and world beliefs) with unstructured narrative signals reflecting values and lived experience. These personas condition LLM-based agents to act as specific individuals when answering survey questions or responding to events. Using the Ipsos KnowledgePanel\, a nationally representative probability sample of U.S. adults\, we show that SPIRIT-conditioned simulations recover self-reported responses more faithfully than demographic baselines and reproduce human-like heterogeneity in response patterns. We further demonstrate that persona banks can function as virtual respondent panels for studying both stable attitudes and time-sensitive public opinion. \nMao Li (Survey and Data Science and Scientific Computing)\nMao Li is a Ph.D. candidate in Survey and Data Science and Scientific Computing at the University of Michigan. His research develops and applies large language models and other computational methods to study public opinion\, social media discourse\, and survey-related questions. \n\nNumerical Study of Bidirectional Shallow-Water Wave Kinetics\nThe traditional view is that one-dimensional shallow-water waves do not admit a wave kinetic description\, as their dynamics can be described by integrable systems. We revisit this problem by studying bidirectional shallow-water waves using the integrable Kaup-Boussinesq (KB) equation and a related non-integrable variant. For both systems\, a normal-form transformation yields interaction coefficients with the same general structure\, differing only through the dispersion relation. We numerically confirm that the coefficient vanishes exactly on the resonant manifold for the KB equation\, consistent with integrability\, while the non-integrable model admits a non-zero resonant coefficient and thus a non-trivial wave kinetic equation (WKE). \nThe WKE is derived in the infinite-domain\, weak-nonlinearity limit\, where the dynamics are dominated by exact resonances. In numerical simulations\, we no longer operate in this regime as computations are performed on a discrete grid at finite nonlinearity. Consequently\, exact resonances may be sparse or absent\, allowing for quasi-resonant interactions to play a significant role. We perform a set of numerical experiments demonstrating that these quasi-resonant interactions govern the observed spectral evolution. Despite differing on the exact resonant manifold\, the integrable KB and non-integrable models exhibit nearly identical stationary spectra\, revealing the dominant role of near-resonant interactions and elucidating the wave-kinetic picture in shallow-water and integrable systems. \nAshleigh Simonis (Naval Architecture & Marine Engineering and Scientific Computing)\nAshleigh is a Ph.D. candidate in the Department of Naval Architecture and Marine Engineering\, advised by Dr. Yulin Pan. Her research focuses on theoretical and numerical studies of wave turbulence and coherent structures in dispersive wave systems. \n\n  \nRegister to attend
URL:https://micde.umich.edu/event/ph-d-in-scientific-computing-student-seminar/
LOCATION:Room 4425\, Green Court Building
CATEGORIES:Aerospace Engineering,Chemical Engineering,Chemistry,Civil and Environmental Engineering,College Of Engineering,Computation,Computational Medicine,Computational Modeling,Computational Science,Computational Social Science,Data Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,Health Behavior & Health Equity,In Person,Interdisciplinary,Machine Learning,Materials Science,Micde,Phd Seminar,Political Science,Prospective Graduate Students,Public Health,Research,Science,Scientific Computing,Sessions
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2026/05/4-29-Fang-Lee-Chen-4.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20260625T120000
DTEND;TZID=America/Detroit:20260625T130000
DTSTAMP:20260618T113720
CREATED:20260511T145137Z
LAST-MODIFIED:20260617T194655Z
UID:10000861-1782388800-1782392400@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminar
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. Lunch will be served. These events are open to the public\, but we request that all who plan to attend register in advance. Planned sessions will be canceled if no one signs up to present\, and registered attendees will be notified. \nIf you have any questions\, please email micde-phd@umich.edu. \nRegister to attend \nTransforming Static Trusses into Functional Shape-morphing Systems\nDeployable and reconfigurable infrastructure is crucial for applications such as post-disaster recovery response\, temporary shelters\, and aerospace systems. However\, most civil structures\, especially trusses\, are characterized by a slow\, member-by-member assembly and are locked into a single configuration post-construction. These properties make trusses ill-suited for applications requiring rapid deployment\, compact storage\, and controlled shape change. \nTo address this gap\, my PhD research develops a framework that transforms static trusses into reconfigurable systems while preserving the structure’s load paths and load-bearing behavior. The framework uses quadrilateral linkage principles and member force information from a design load case to introduce additional joints in the triangular units of a truss. These joints convert triangles into flat-foldable quadrilateral linkages\, in turn\, adding global reconfigurability to the truss structure. \nIn this framework\, fabrication-aware design strategies account for member thickness and joint clearances to prevent unintended overlap and interlocking during deployment of physical prototypes. Complementary kinematic simulation tools help visualize deployment trajectories and evaluate the packing efficiency during the reconfiguration of these systems. \nTo explore functional applications beyond civil structures\, the reconfigurable trusses are augmented with torsional springs that introduce rotational resistance at the reconfiguring joints. Our work also develops computational formulations for rotational hinges and integrates them into nonlinear structural solvers to evaluate actuation force demands and system-level mechanical response. This approach enables controlled deployment and absorption of energy from impact loads through elastic buckling and multistable mechanical behavior. \nTogether\, the tools developed in this work provide practical methods for making existing static structural designs reconfigurable and enabling programmable mechanical responses in adaptable systems beyond civil engineering. \nHardik Patil (Civil & Environmental Engineering and Scientific Computing)\nOur speaker today is Hardik Patil\, a fifth-year PhD student in Civil Engineering at the University of Michigan. He works with Professor Evgueni Filipov in the Regenerative\, Architected\, and Reconfigurable Structures Lab\, where his research focuses on the design and analysis of deployable and reconfigurable bar-linked structures. Hardik earned a bachelor’s degree in Civil Engineering from the Indian Institute of Technology Bombay and a master’s degree in Structural Engineering from the University of Michigan. Today\, he will presenting his work on “Transforming Static Trusses into Functional Shape-Morphing Systems”. \n\nTrust-worthy LLM Agent for science\nDensity functional theory (DFT) underpins computational materials discovery\, but building high-fidelity workflows demands expertise that bottlenecks exploration. Large language model (LLM) agents promise automation\, yet their use in rigorous science is undermined by a trust gap: they hallucinate or misattribute numerical values\, rarely support the parameter-sensitive periodic simulations central to materials work\, and diagnose failures only superficially. We introduce DREAMS (DFT-based Research Engine for Agentic Materials Simulation)\, a hierarchical multi-agent framework for periodic solid-state DFT built around auditable results. A planning supervisor coordinates worker agents for DFT setup\, HPC execution\, and convergence diagnosis through the canvas\, a shared memory that tracks every value’s provenance rather than passing raw text. Trust is enforced at two layers: deterministic safety guards block fabrication and value mismatch at the moment of tool use\, and a report-judge agent audits each report against rules for provenance\, parameter sensitivity\, and rationale quality. When results still surprise\, a debug tool walks the value-flow graph parameter by parameter\, ruling out hidden errors before any finding is claimed as genuine. DREAMS reaches human-expert-level accuracy on Sol27LC lattice constants\, resolves the contested “CO/Pt(111) puzzle” in agreement with the literature\, and quantifies functional uncertainty via Bayesian statistics. These results mark a step toward L3-level automation\, and the provenance\, verification\, and debugging mechanisms generalize to any agentic scientific workflow where numerical claims must be trusted. \nZiqi Wang (Mechanical Engineering and Scientific Computing)\nZiqi Wang is a Ph.D. candidate in Mechanical Engineering at the University of Michigan\, where he is advised by Prof. Venkat Viswanathan. His research focuses on trustworthy agentic AI for computational materials science\, combining large language models with high-fidelity physics-based simulations to enable autonomous scientific discovery. He leads the development of DREAMS\, a hierarchical multi-agent framework for autonomous density functional theory workflows\, and has applied these ideas to catalyst screening\, materials discovery\, and solid-state battery problems. His broader interests include first-principles thermodynamics\, phase stability\, interfacial materials design\, and machine learning for accelerated materials screening. \n\nTopic Modeling of Firearm-Related Social Media Content for Survey Development\nFirearm violence increasingly reaches emerging adults through social media and online news\, yet validated measures of online firearm violence exposure remain limited. This study applied natural language processing to firearm-related posts from Reddit and Twitter/X to inform the development of an online firearm exposure measure. After filtering irrelevant content with a fine-tuned BERT spam classifier\, three topic modeling methods\, Latent Dirichlet Allocation\, Non-negative Matrix Factorization\, and BERTopic\, were applied across a large corpus of social media posts and comment threads. Topics were consolidated into nine themes that guided concrete measurement decisions\, showing how topic modeling can support instrument development on sensitive topics. \nEsther Lee (Health Behavior & Health Equity and Scientific Computing)\nEsther Lee is a PhD candidate in Health Behavior and Health Equity at the University of Michigan School of Public Health. Her research involves examining the multilevel correlates and consequences of interpersonal gun violence\, with particular attention to how firearm violence exposure affect mental health among adolescents and emerging adults.
URL:https://micde.umich.edu/event/ph-d-in-scientific-computing-student-seminar-2/
LOCATION:Room 4425\, Green Court Building
CATEGORIES:Aerospace Engineering,Chemical Engineering,Chemistry,Civil and Environmental Engineering,College Of Engineering,Computation,Computational Medicine,Computational Modeling,Computational Science,Computational Social Science,Data Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,Health Behavior & Health Equity,In Person,Interdisciplinary,Machine Learning,Materials Science,Micde,Phd Seminar,Political Science,Prospective Graduate Students,Public Health,Research,Science,Scientific Computing,Sessions
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20260811T120000
DTEND;TZID=America/Detroit:20260811T130000
DTSTAMP:20260618T113720
CREATED:20260617T195238Z
LAST-MODIFIED:20260617T195238Z
UID:10000863-1786449600-1786453200@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminar
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. Lunch will be served. These events are open to the public\, but we request that all who plan to attend register in advance. Planned sessions will be canceled if no one signs up to present\, and registered attendees will be notified. \nIf you have any questions\, please email micde-phd@umich.edu. \nRegister to attend \nModeling Pulse Contrast Enhancement for Fiber Laser-Driven Laser-Plasma Acceleration\nMichael Garner (Electrical & Computer Engineering and Scientific Computing)\n\nFluttering and Tumbling in Falling Plates\nYu Jun Loo (Mathematics and Scientific Computing)\n\nImprove influenza burden estimation through multiplier prediction and true case estimation\nTroy Zirui Zhou (Epidemiology and Scientific Computing)\n 
URL:https://micde.umich.edu/event/ph-d-in-scientific-computing-student-seminar-3/
LOCATION:Room 4425\, Green Court Building
CATEGORIES:Aerospace Engineering,Chemical Engineering,Chemistry,Civil and Environmental Engineering,College Of Engineering,Computation,Computational Medicine,Computational Modeling,Computational Science,Computational Social Science,Data Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,Health Behavior & Health Equity,In Person,Interdisciplinary,Machine Learning,Materials Science,Micde,Phd Seminar,Political Science,Prospective Graduate Students,Public Health,Research,Science,Scientific Computing,Sessions
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20260818T120000
DTEND;TZID=America/Detroit:20260818T130000
DTSTAMP:20260618T113720
CREATED:20260617T195355Z
LAST-MODIFIED:20260617T195355Z
UID:10000864-1787054400-1787058000@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminar
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. Lunch will be served. These events are open to the public\, but we request that all who plan to attend register in advance. Planned sessions will be canceled if no one signs up to present\, and registered attendees will be notified. \nIf you have any questions\, please email micde-phd@umich.edu. \nRegister to attend \nTasmine Clement (Bioinformatics and Scientific Computing)\n  \n 
URL:https://micde.umich.edu/event/ph-d-in-scientific-computing-student-seminar-4/
LOCATION:Room 4425\, Green Court Building
CATEGORIES:Aerospace Engineering,Chemical Engineering,Chemistry,Civil and Environmental Engineering,College Of Engineering,Computation,Computational Medicine,Computational Modeling,Computational Science,Computational Social Science,Data Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,Health Behavior & Health Equity,In Person,Interdisciplinary,Machine Learning,Materials Science,Micde,Phd Seminar,Political Science,Prospective Graduate Students,Public Health,Research,Science,Scientific Computing,Sessions
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