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DTSTART;TZID=America/Detroit:20210304T160000
DTEND;TZID=America/Detroit:20210304T170000
DTSTAMP:20260620T185335
CREATED:20230905T171259Z
LAST-MODIFIED:20260403T173300Z
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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
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DTSTART;TZID=America/Detroit:20210311T160000
DTEND;TZID=America/Detroit:20210311T170000
DTSTAMP:20260620T185335
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
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DTSTART;TZID=America/Detroit:20210318T160000
DTEND;TZID=America/Detroit:20210318T170000
DTSTAMP:20260620T185335
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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DTSTART;TZID=America/Detroit:20210325T160000
DTEND;TZID=America/Detroit:20210325T170000
DTSTAMP:20260620T185335
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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