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DTSTART;TZID=America/Detroit:20221117T160000
DTEND;TZID=America/Detroit:20221117T163000
DTSTAMP:20260613T180056
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
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/2022-Fall-Dang.png
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221103T160000
DTEND;TZID=America/Detroit:20221103T170000
DTSTAMP:20260613T180056
CREATED:20211021T140003Z
LAST-MODIFIED:20230809T192106Z
UID:10000537-1667491200-1667494800@micde.umich.edu
SUMMARY:PhD Seminar: Srihari Sundar and Vishwas Goel
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:\nSrihari Sundar\, PhD Candidate\, Aerospace Engineering and Scientific Computing\nHari’s research interests include decarbonization of the power sector\, climate impacts\, computational modeling\, and sustainable transformation. His current research in the center for sustainable systems is focused on predicting changes in the energy system — meteorology interaction with a transition to widespread renewable energy generation. He aspires to use this to inform long term planning of reliable power systems under a changing climate while ensuring a just transition. \nLinkedIn   Twitter \nMeteorological Drivers of Resource Adequacy Failures During the Transition to a Decarbonized Power System\nIncreasing meteorological extremes and renewable penetrations could challenge resource adequacy (RA) in the electric power system\, as demonstrated by recent blackouts in California and Texas. We quantify meteorological drivers of RA in the Western U.S. power system\, and examine how these drivers change with increasing renewable penetrations. Our analysis integrates an optimization-based capacity expansion model\, stochastic RA model\, and neural-network-based self-organizing maps. We find that RA failures are driven by high pressure circulation patterns which produce positive surface temperature anomalies and negative solar radiation and wind speed anomalies. Further\, with increasing renewable penetration we find that the probability of failure attributed to patterns associated with heat waves over the region increases. \n\nVishwas Goel\, PhD Candidate\, Materials Science and Engineering and Scientific Computing\nVishwas is a Ph.D. candidate in the Department of Materials Science and Engineering. His research is primarily focused on simulating electrochemical phenomena on multiple scales. \nLinkedIn \nSimulating microgalvanic corrosion in Mg alloys using PRISMS-PF\nMagnesium and its alloys are the lightest structural metallic materials known\, and therefore\, hold vast potential for reducing the weight for various transportation modes such as airplanes\, cars\, buses\, etc. Although the alloying of Mg with elements such as Al\, Mn\, and rare earth (RE) elements is known to improve the mechanical properties of Mg\, the process is often detrimental to the corrosion performance of Mg. This increase in the corrosion rate occurs because of the micro-galvanic couple that forms between the Mg-rich phase\, which acts as an anode\, and the alloying-element-rich phase\, which acts as a cathode. \nUsing both experiments and modeling\, it has been reported that the rate of micro-galvanic corrosion in the Mg-alloys depends on the alloying element and microstructure. However\, a deeper understanding is required for quantifying the effect of microstructure characteristics such as the fraction of the two phases\, spacing between the two phases\, the geometry of the two phases\, etc.\, on the corrosion rate. This understanding is crucial for designing Mg-alloys with optimal mechanical properties and high corrosion resistance. \nTo bridge this gap in our understanding\, we perform the continuum-scale phase-field modeling of different microstructures observed in Mg-alloys. Furthermore\, we complement the modeling work with theoretical analysis\, where we develop analytical relations for studying the effect of various material and microstructural parameters on the characteristic corrosion length scale. The results from both these efforts will be summarized in our presentation. \n\n  \nThis event is part of MICDE’s Fall 2022 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-srihari-sundar-and-vishwas-goel/
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:20210325T160000
DTEND;TZID=America/Detroit:20210325T170000
DTSTAMP:20260613T180056
CREATED:20230905T171443Z
LAST-MODIFIED:20260612T015311Z
UID:10000463-1616688000-1616691600@micde.umich.edu
SUMMARY:PhD Seminar: Chanese Forte and Hyeon Joo
DESCRIPTION:CHANESE FORTE\, GRADUATE STUDENT\, ENVIRONMENTAL HEALTH SCIENCES & SCIENTIFIC COMPUTING \nBio: Chanese is a Dual PhD student pursuing a degree in the Environmental Health Sciences and Scientific Computing. Chanese’s research interests lie in chemical exposure in agriculture workers and cellular alteration. \nASCERTAINING PESTICIDE EXPOSURE AND BIOACTIVITY USING OPEN SOURCE DATA: Pesticides are known to be harmful chemicals to human health\, however\, they are still heavily used in agriculture. Using large publicly available datasets\, this study aims to quantify pesticide exposure levels of the US general population in comparison to farmworkers. The National Health and Nutrition Examination Survey (NHANES) is a cross-sectional study representative of the US population. NHANES was used to quantify pesticide exposure among US farmworkers and the general population who responded to NHANES. It compares and analyzes\, using regression\, the US pesticide exposure levels to the bioactivity of these same pesticides within the human body. By comparing population-level data with toxicological assay data in future projects\, we hope to create a more overarching idea of how pesticides may be affecting the body and the human population level. \nHYEON JOO\, GRADUATE STUDENT\, HEALTH INFRASTRUCTURES AND LEARNING SYSTEMS & SCIENTIFIC COMPUTING \nBio: Hyeon Joo is a second year PhD student in the Health Infrastructures and Learning Systems program of the Department of Health Learning Systems (Michigan Medical School). He completed his MS in Computer Science and Engineering\, and Master of Health Informatics from the University of Michigan\, Ann Arbor. His research focuses on developing and implementing computational data-driven algorithms\, systems or tools to help users identify gaps and make informed decisions. He loves working in the field of health care as a data scientist and a software engineer. \nEARLY PREDICTION OF HEART FAILURE USING ATTENTION MODELS USING EHR DATA: Heart Failure (HF) is a severe and progressive chronic condition affecting over 5.8 million patients with a 5-year mortality rate of 45-60% in the United States. Despite significant efforts and advanced HF management\, diagnosing HF in the early stages remains challenging due to its syndromic nature and non-specific disease presentation. In this seminar\, I will present a single attention recurrent network and a hierarchical attention convolutional neural networks to detect the early stage of HF at a tertiary hospital. I will also describe various methods of feature selection to reduce the computation time and improve the performance of the models. Lastly\, I will present the challenges of adopting models in clinical practice which leads to my next research steps. \n\nRegister via Zoom to immediately receive login information. Note: You may register and join after the event has started. \nThis event is part of MICDE’s Winter 2021 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
URL:https://micde.umich.edu/event/phd-seminar-chanese-forte-and-hyeon-joo/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210318T160000
DTEND;TZID=America/Detroit:20210318T170000
DTSTAMP:20260613T180056
CREATED:20230905T171300Z
LAST-MODIFIED:20260612T022828Z
UID:10000461-1616083200-1616086800@micde.umich.edu
SUMMARY:PhD Seminar: Vishwas Goel and Benjamin Yang
DESCRIPTION:VISHWAS GOEL\, GRADUATE STUDENT\, MATERIALS SCIENCE AND ENGINEERING & SCIENTIFIC COMPUTING \nBio:  Vishwas is a third year Ph.D. student in the Thornton group\, Department of Materials Science and Engineering. His research involves the simulations of the continuum level or microstructure level electrochemical dynamics of energy conversion/storage devices such as batteries\, fuel cells\, etc. \nSIMULATION OF EIS IN SOFC CATHODES USING SMOOTHED BOUNDARY METHOD:  Electrochemical impedance spectroscopy is the most commonly used technique for the in-situ characterization of solid oxide fuel cells (SOFC). In this presentation\, I will discuss about a method for simulating the impedance behavior of a mixed conducting SOFC cathode with an experimentally determined microstructure. I will also share the key insights that we generated through our work. \nBENJAMIN YANG\, GRADUATE STUDENT\, BIOMEDICAL ENGINEERING & SCIENTIFIC COMPUTING \nBio:  Ben is a 4th year PhD student in Dr. Carlos Aguilar’s Lab. His research explores the molecular mechanisms that regulate cellular fate plasticity using microfluidics\, cell-cell fusion\, and single-cell sequencing techniques. \nDECONSTRUCTING METASTATIC REGULATORS USING INTERSPECIES HETEROKARYONS:  Tumor metastasis\, the spread of cancer cells to sites beyond the primary tumor\, is the primary contributor to morbidity in cancer patients. While each step of the metastatic cascade is well characterized\, the molecular mechanisms responsible for initiating the cascade remain unclear\, inhibiting the efficacy of therapeutic modalities. We revisit a century-old hypothesis that changes in metastatic potential are conferred to tumor cells through fusion with neighboring stromal cells by fusing human breast cancer cells with brain-resident mouse microglia and astrocytes. Our main objectives are to assess how aberrant fusion between malignant cells and stromal cells overrides transcriptional safeguards against metastatic progression and to explore how fusion modifies the mechanical phenotype of tumor hybrids. Achieving these goals will advance our understanding of the biological significance of fusion events in metastasis and delineate markers that can serve as therapeutic targets. \n\nRegister via Zoom to immediately receive login information. Note: You may register and join after the event has started. \nThis event is part of MICDE’s Winter 2021 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
URL:https://micde.umich.edu/event/phd-seminar-vishwas-goel-and-benjamin-yang/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210311T160000
DTEND;TZID=America/Detroit:20210311T170000
DTSTAMP:20260613T180056
CREATED:20230905T171300Z
LAST-MODIFIED:20260612T015435Z
UID:10000459-1615478400-1615482000@micde.umich.edu
SUMMARY:PhD Seminar: Anna Redgrave and Agnit Mukhopadhyay
DESCRIPTION:ANNA REDGRAVE\, GRADUATE STUDENT\, ECOLOGY AND EVOLUTIONARY BIOLOGY & SCIENTIFIC COMPUTING \nBio: Anna Redgrave began her science career as an undergrad\, master’s student\, and lab technician studying developmental biology in zebrafish. She became fascinated by how complicated developmental systems are\, and joined the Wittkopp lab at U-M for her PhD to investigate one mechanism of complicating developmental systems: gene duplication. \nREGULATORY DIVERGENCE OF DUPLICATED GENES: Gene duplication has long been studied as a mechanism of evolution at the genetic level. Duplicated genes introduce redundant protein-coding sequence\, allowing duplicates to acquire novel functions while preserving existing functions. Gene duplication\, however\, also provides a substrate for non-protein coding\, regulatory sequence evolution. Genes are duplicated with varying levels of their native regulatory sequence intact. This prompts the question: how does the degree to which duplication preserves native regulatory sequence affect future evolutionary paths? Here\, I investigate this question by comparing the expression profiles of duplicate genes across many environments in two diverging species of yeast. \nAGNIT MUKHOPADHYAY\, GRADUATE STUDENT\, CLIMATE AND SPACE SCIENCES AND ENGINEERING & SCIENTIFIC COMPUTING \nBio: Agnit is a NASA Earth & Space Sciences Fellow at the Climate and Space Sciences and Engineering department at the University of Michigan\, with a background in Aerospace Engineering. He is co-advised by Drs. Michael Liemohn and Daniel Welling to quantify the nonlinear coupling between the Earth’s atmosphere and it’s near-plasma environment. He loves working with numerical models to assess and predict the impact of extreme natural events on life and technology. \nQUANTIFYING THE IMPACT OF THE AURORA ON SPACE WEATHER: Conjuring a captivating vista of a colourful nightsky\, the aurora borealis (Northern Lights) and australis (Southern Lights) are a byproduct of upper atmospheric ionization by charged particles (plasma) of solar origin. The near-constant drizzling of auroral plasma particles from outer space are excellent drivers of space weather activity caused by solar disruptions like flares and coronal mass ejections that can adversely affect man-made technology like GPS satellites\, electrical power grids and oil pipelines. Using a combination of physics-based models\, data regression tools\, in-situ satellite and ground-based telemetry\, we figure out what forms and drives the aurora\, how these drivers modify the aurora’s electro-chemical atmospheric modification\, and how this system could be predicted during extreme natural events. \n  \n\nRegister via Zoom to immediately receive login information. Note: You may register and join after the event has started. \nThis event is part of MICDE’s Winter 2021 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
URL:https://micde.umich.edu/event/phd-seminar-anna-redgrave-and-agnit-mukhopadhyay/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210304T160000
DTEND;TZID=America/Detroit:20210304T170000
DTSTAMP:20260613T180056
CREATED:20230905T171259Z
LAST-MODIFIED:20260403T173300Z
UID:10000458-1614873600-1614877200@micde.umich.edu
SUMMARY:PhD Seminar: K G & Ryan Sandberg
DESCRIPTION:K G\, PSYCHOLOGY & SCIENTIFIC COMPUTING \nBio: K is a 4th year PhD candidate in Psychology and Scientific Computing. He has a Bachelors and a Masters degree in Biomedical Engineering and a Masters in Psychology. He works in the multisensory perception lab with Dr. David Brang and studies how multisensory integration occurs in the human brain and their mechanisms. \nEFFECTS OF VISUAL SPEECH ON AUDITORY SPEECH PERCEPTION: For quite some time now\, the notion of different regions in the brain being highly interconnected instead of being segregated into modules has been widely discussed. There are numerous studies that provide evidence for such an effect where distinct regions in the brain responsible for different functionalities work together to create a unified sense of reality. A case in point would be audio-visual integration\, where a person’s auditory stimuli/input is modulated by visual stimuli. One such example is the McGurk effect where the auditory component of one sound\, paired with the visual component of another sound leads to the perception of a third sound. How does this effect happen and what are the ways in which the brain handles integration of these different senses? My research explores questions such as whether the brain integrates information from two different senses in a third\, unrelated region of the brain or whether the sense of integration is just an illusion created by the modulatory effect of one sense on another. In this talk\, I would provide evidence indicating a modulatory effect of visual stimuli on auditory speech perception. Results from complimentary data obtained using two different imaging modalities including intracranial electrocortocographic recordings and functional magnetic resonance imaging would be discussed. \n  \nRYAN SANDBERG\, GRADUATE STUDENT\, APPLIED AND INTERDISCIPLINARY MATHEMATICS & SCIENTIFIC COMPUTING \nBio: I work with Robert Krasny in math and Alec Thomas in NERS on numerical methods in plasma physics\, incorporating tree codes and particle methods in plasma simulation. I also study plasma-based electron and photon acceleration. \nFARRSIGHT: A FORWARD ADAPTIVELY REFINED AND REGULARIZED SEMI-LAGRANGIAN INTEGRAL GPU- AND HEIRARCHICAL TREECODE-ACCELERATED METHOD FOR THE VLASOV-POISSON SYSTEM: We present a new forward semi-Lagrangian particle method for the Vlasov-Poisson (VP) system. Recently developed methods for the VP system include deformable particles and high-order or discontinuous-Galerkin Eulerian methods. In contrast to these\, we do not use any operator splitting and obtain the electric field by summing regularized pairwise particle interactions using a GPU-accelerated tree-code. We remesh and use adaptive mesh refinement to maintain an efficient representation of phase space. We benchmark on several standard test cases including Landau damping and the two-stream instability. We also compare the multi-threaded and single-GPU performance of the method. \n\nThis event is part of MICDE’s Winter 2021 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. \nRegister via Zoom to immediately receive login details for this event. Note: You may register and join after the event has started. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/phd-seminar-kg-ryan-sandberg/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210225T160000
DTEND;TZID=America/Detroit:20210225T170000
DTSTAMP:20260613T180056
CREATED:20230905T171259Z
LAST-MODIFIED:20260612T020849Z
UID:10000453-1614268800-1614272400@micde.umich.edu
SUMMARY:Ph.D. Seminar: Anil Yildirim & Jiale Tan
DESCRIPTION:ANIL YILDIRIM\, GRADUATE STUDENT\, AEROSPACE ENGINEERING & SCIENTIFIC COMPUTING \nBio: Anil Yildirim is a PhD candidate in Aerospace Engineering and Scientific Computing. His research focuses on the development and application of robust computational tools in the context of multidisciplinary design optimization for aircraft configurations. \nROBUST AND HIGH-PERFORMANCE TOOLS FOR MULTIDISCIPLINARY DESIGN OPTIMIZATION: The development of future sustainable aircraft heavily relies on the design and integration of advanced propulsion systems. However\, the design of these systems are challenging due to the tightly coupled interactions between the aerodynamic and the propulsion disciplines. My research focuses on enabling these advanced technologies using aeropropulsive design optimization\, in which the aerodynamic and propulsion system designs are optimized in a coupled manner. In this process\, I use multiple robust and high-performance computational tools including the computational fluid dynamics (CFD) solver we have been developing in the MDO Lab at the University of Michigan. In this talk\, I will cover some recent advancements in the field of CFD-based aeropropulsive design optimization and the computational methodologies we have been using for this work. \n  \nJIALE TAN\, GRADUATE STUDENT\, EPIDEMIOLOGY & SCIENTIFIC COMPUTING \nBio: Jiale is a second year Phd student working with Prof. Rafael Meza in Epidemiology. His interest is to apply computational skills to public health challenges so that he can develop and apply modeling techniques for infectious and noninfectious diseases\, including for viral infections like HIV and HCV\, and eventually use them for modeling non-communicable diseases that disproportionately affect global health like cancer. \nMARKOV MULTISTATE TRANSITION MODEL ON ELECTRONIC NICOTINE DELIVERY SYSTEMS AND TRADITIONAL CIGARETTES: Electronic nicotine delivery systems (ENDS) have dramatically changed the landscape of tobacco products patterns in the USA since 2011. The impact of ENDS use on traditional cigarettes smoking remains a topic of considerable debate. A Markov multistate transition model was used to estimate transition rates (Hazard rate) between ENDS and cigarette use states (25 use states); never user\, non-current experimental user\, non-current regular user\, current experimental user\, and current regular user for each product. A 25×25 transition matrix was generated from this model. Parallel computations using 150 processors was used to estimate the transition rates. The Population Assessment of Tobacco and Health study\, which includes longitudinal data from 11\,475 youth of ages 12 to 24 years from 2013-2018 was used to calibrate the model. The hazard estimates show the patterns of ENDS and cigarette use experimentation and transition to regular use. Next steps will assess the impact of different sociodemographic covariates (age\, sex\, race\, education\, household income) on the estimated transition rates. \n\nThis event is part of MICDE’s Winter 2021 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. \nThis webinar was not recorded for public distribution. \nQuestions? Email MICDE-events@umich.edu \n\n 
URL:https://micde.umich.edu/event/ph-d-seminar-anil-yildirim-jiale-tan/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,hpc-events,MICDE PhD Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210218T160000
DTEND;TZID=America/Detroit:20210218T170000
DTSTAMP:20260613T180056
CREATED:20230905T171258Z
LAST-MODIFIED:20260612T022042Z
UID:10000452-1613664000-1613667600@micde.umich.edu
SUMMARY:Ph.D Seminar: Matthew Duschenes & Yi Zhu
DESCRIPTION:MATTHEW DUSCHENES\, GRADUATE STUDENT\, APPLIED PHYSICS & SCIENTIFIC COMPUTING \nBio: I am in my third year of the Applied Physics & Scientific Computing Ph.D. programs\, after completing a master’s in theoretical physics in my home country of Canada. As a member of Dr. Krishna Garikipati’s Computational Physics group\, I am currently working on data driven modelling and am collaborating with several groups on applying these graph theoretic approaches to various systems of interest. \nGRAPH THEORETIC APPROACHES FOR PHYSICAL SYSTEMS: Numerical analyses of physical systems are conventionally performed using direct numerical simulations\, that have proven highly successful\, yielding high fidelity solutions to very high dimensional problems\, such as boundary value problems with upwards of tens of millions of degrees of freedom. However\, there is always a balance to be met between the desire for higher accuracy and additional physics to be modeled\, and the complexity\, interpret-ability and ease of representation of such solutions. To aid in this dilemma\, I will be introducing a novel graph theoretic approach\, allowing for lower dimensional\, reduced order models to be produced\, given small amounts of high fidelity data. In this talk I will explain how such an approach allows for an intuitive representation of the states of a systems\, and how it is possible to use a non-local calculus\, allowing for rigorous operators and equations to be defined on the graph. I will then be discussing some implementation details\, and convey the generality\, validity\, and future applications of this framework through some example results from collaborations. \nYI ZHU\, GRADUATE STUDENT\, CIVIL AND ENVIRONMENTAL ENGINEERING & SCIENTIFIC COMPUTING \nBio: Yi is a 3rd year PhD candidate in Civil and Environmental Engineering & Scientific Computation. His research focuses on simulation\, design\, and fabrication of active origami systems for engineering devices\, and is particularly focused on micro-scale shape morphing systems inspired by origami. \nSIMULATION AND DESIGN OF MICRO-ORIGAMI SYSTEMS: In this talk\, we will introduce some recent advancement in the simulation and the design of micro-origami systems. We will discuss the micro-origami structures we fabricated and the rapid simulation framework we developed to capture the behaviors of these active origami. We will focus on the simulation framework and demonstrate how we can capture the thermo-mechanically coupled folding behavior and contacts between origami panels effectively and rapidly. Finally\, we will introduce some ongoing work on extracting origami design principle with interpretable machine learning\, which demonstrates how we can use the simulation framework to create better origami design. \n\nThis event is part of MICDE’s Winter 2021 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
URL:https://micde.umich.edu/event/ph-d-seminar-matthew-duschenes-yi-zhu/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210211T160000
DTEND;TZID=America/Detroit:20210211T163000
DTSTAMP:20260613T180056
CREATED:20230905T171258Z
LAST-MODIFIED:20230905T171258Z
UID:10000451-1613059200-1613061000@micde.umich.edu
SUMMARY:Ph.D Seminar: Saibal De\, Applied and Interdisciplinary Mathematics & Scientific Computing
DESCRIPTION:Bio: Saibal De is a 5th year PhD candidate in Applied and Interdisciplinary Mathematics. His research involves using high-performance computing and novel algorithms for accelerating physics-based simulation frameworks\, and developing faithful reduced-order models of black-box high-fidelity simulations. \nTENSOR METHODS FOR DATA COMPRESSION: With the advancement of computing software and hardware\, physics-based simulations have gained notoriety in many scientific and industrial applications due to their highly accurate prediction capabilities. However\, in addition to being computationally expensive\, even a single of these high-fidelity simulations produce massive amounts of data. Storing and processing all these data thus requires novel approaches. In this talk\, I will present how we can use tensor factorization methods for compressing scientific data\, leading to dramatic savings in disk-space usage. Towards the end of the talk\, I’ll also touch upon how we can potentially construct reduced-order models out of these compressed datasets. \n\nThis event is part of MICDE’s Winter 2021 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
URL:https://micde.umich.edu/event/ph-d-seminar-saibal-de-applied-and-interdisciplinary-mathematics-scientific-computing/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/Headshot-Saibal-De.jpg
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