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DTSTART;TZID=America/Detroit:20210625T120000
DTEND;TZID=America/Detroit:20210625T130000
DTSTAMP:20260604T211018
CREATED:20210621T171912Z
LAST-MODIFIED:20230217T195710Z
UID:10000492-1624622400-1624626000@micde.umich.edu
SUMMARY:ME Special Webinar: Aditya Nair\, Mechanical Engineering\, University of Nevada
DESCRIPTION:Bio: Aditya G. Nair joined the Department of Mechanical Engineering at U. Nevada\, Reno in August 2020. His research interests are in the areas of computational fluid dynamics\, unsteady aerodynamics\, high-performance computing\, data science and control theory focused on modeling and control of high-dimensional fluid flow physics. He received his Ph.D. in mechanical engineering from the Florida State U. in 2018. Prior to this\, he completed his M.S. in mechanical engineering from U. Michigan in 2013 and B.E in mechanical engineering from University of Mumbai in 2011. Following his Ph.D.\, he served as a post-doctoral research associate in the mechanical engineering department at U. of Washington till July 2020. \nPhysics-based and data-driven strategies for modeling and control of unsteady fluid flows\nData and network science offer novel perspectives to describe complex dynamics over a web of interactions. The last few years have seen an emergence of such techniques to characterize\, model\, and control fluid flows. The ability of these approaches to characterize vortical and modal interactions in unsteady fluid flows is essential to understand its complex behavior. Using a simple description of the flow physics on a mathematical graph with weights based on vortical interactions\, modal interactions and probabilistic interactions\, we can design feedback control techniques to alter flow behavior. We discuss some of the successes and challenges associated with applying this formalism for fluid dynamics. \nZoom information\nlink: umich.zoom.us/j/92859783250\npasscode: 833499 \nProf. Nair is being hosted by Prof. Johnsen (Mechanical Engineering). \n 
URL:https://micde.umich.edu/event/me-special-webinar-aditya-nair-mechanical-engineering-university-of-nevada/
LOCATION:Zoom Event\, MI\, United States
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/aditya-nair-nevada.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210624T090000
DTEND;TZID=America/Detroit:20210624T120000
DTSTAMP:20260604T211018
CREATED:20210607T135434Z
LAST-MODIFIED:20210607T135434Z
UID:10000487-1624525200-1624536000@micde.umich.edu
SUMMARY:Advanced research computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\n\n\nThis workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python\, R\, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP. \nPRE-REQUISITES\nThis course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a member of the LSA Technology Services Research team at the University of Michigan\, where he is responsible for high performance computing support and education\, and was an Advocate to the Departments of History and Communications. Prior to this\, he built a parallel data ingestion component of a novel earth science data assimilation system\, a secure packet vault\, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems\, distributed file systems\, C++ programming\, security\, and database application design. \nJohn Thiels\nResearch Computing Services\nLSA Technology Services \nMATERIALS\n\nLecture Notes\nGreat Lakes Slurm HPC cluster\nGreat Lakes User Guide\nTwo-page Cheat Sheet\nMPI Profiling with Allinea MAP\n\n\nCOURSE PREPARATION\nIn order to participate successfully in the workshop exercises\, you must have a user login\, a Slurm account\, and be enrolled in Duo. The user login allows you to log in to the cluster\, create\, compile\, and test applications\, and prepare jobs for submission. The Slurm account allows you to submit those jobs\, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster. \nUSER LOGIN\nIf you already have a Great Lakes user login\, you don’t need to do anything.  Otherwise\, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/ . \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \nSLURM ACCOUNT\nWe create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account\, you can use that\, though if there are any issues with that account\, we will ask you to use the workshop account. \nDUO AUTHENTICATION\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes. \nIf you need to enroll in Duo\, follow the instructions at Enroll a Smartphone or Tablet in Duo. \nPlease enroll in Duo before you come to class. \n\nLAPTOP PREPARATION\nYou will need VPN software to access the U-M network.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to Great Lakes. Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \n\nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software\, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\n\nOur Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes. \nPlease prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class. \n\nA Zoom link will be provided to the participants the day before the class. Registration is required.Please note this session will be recorded. \n  \nPlease register at https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-9/register/
URL:https://micde.umich.edu/event/advanced-research-computing-on-the-great-lakes-cluster-7-2/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210623T130000
DTEND;TZID=America/Detroit:20210623T160000
DTSTAMP:20260604T211018
CREATED:20210607T134504Z
LAST-MODIFIED:20210607T134504Z
UID:10000485-1624453200-1624464000@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:OVERVIEW\nThis course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \n​ \nPRE-REQUISITES \nNone. \nINSTRUCTOR \nKenneth Weiss\nIT Project Senior Manager \nHITS Academic IT – HPC team \nKen is a High Performance Computing Consultant with the Health Information Technology & Services (HITS) Academic IT – HPC team at the University of Michigan. He works with a team of IT specialists to provide high performance computing support and training for the Medical School. Prior to this\, he spent 21 years managing research computing\, including an HPC cluster\, for Dr. Charles Sing in the Human Genetics Department. \nMATERIALS \n\nLecture Notes\nReference text: William E Shotts\, Jr.\, “The Linux Command Line: A Complete Introduction\,” No Starch Press\, January 2012 .http://linuxcommand.org/tlcl.php\nDownload Creative Commons Licensed version at http://downloads.sourceforge.net/project/linuxcommand/TLCL/13.07/TLCL-13.07.pdf\n\n\nCOURSE PREPARATION \nYou will need VPN software to access the U-M network.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to training host. Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the training host. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \n\nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software.  A demonstration of this software will be given during class.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\n\nDuring class you will be given the name of the training host to be able to participate in the hands-on activities. \nA Zoom link will be provided to the participants the day before the class. Registration is required.  Please note\, this session will be recorded.   \nIf you have questions about this workshop\, please send an email to the instructor at kgweiss@umich.edu \n\nRegister at https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-the-linux-command-line-31/register/
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-27-2-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210622T130000
DTEND;TZID=America/Detroit:20210622T160000
DTSTAMP:20260604T211018
CREATED:20210607T135232Z
LAST-MODIFIED:20230217T195821Z
UID:10000486-1624366800-1624377600@micde.umich.edu
SUMMARY:Introduction to Research Computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\nThis workshop will introduce you to high performance computing on the Great Lakes cluster.  After a brief overview of the components of the cluster and the resources available there\, the main body of the workshop will cover creating batch scripts and the options available to run jobs\, and hands-on experience in submitting\, tracking\, and interpreting the results of submitted jobs. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered. \nPRE-REQUISITES\nThis course assumes familiarity with the Linux command line as might be obtained from the ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, and be able to create and remove files and folders.  Some exposure to shell input and output redirection and pipes would also be useful. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a member of the LSA Technology Services Research team at the University of Michigan\, where he is responsible for high performance computing support and education\, and was an Advocate to the Departments of History and Communications. Prior to this\, he built a parallel data ingestion component of a novel earth science data assimilation system\, a secure packet vault\, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems\, distributed file systems\, C++ programming\, security\, and database application design. \nMATERIALS\n\nLecture Notes\nGreat Lakes Slurm HPC cluster\nGreat Lakes User Guide\nTwo-page Cheat Sheet\n\nCOURSE PREPARATION\nIn order to participate successfully in the workshop exercises\, you must have a user login\, a Slurm account\, and be enrolled in Duo. The user login allows you to log in to the cluster\, create\, compile\, and test applications\, and prepare jobs for submission. The Slurm account allows you to submit those jobs\, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster. \nUSER LOGIN\nIf you already have a Great Lakes user login\, you don’t need to do anything.  Otherwise\, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/ \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \nSLURM ACCOUNT\nWe create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account\, you can use that\, though if there are any issues with that account\, we will ask you to use the workshop account. \nDUO AUTHENTICATION\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes. \nIf you need to enroll in Duo\, follow the instructions at Enroll a Smartphone or Tablet in Duo. \nPlease enroll in Duo before you come to class. \nLAPTOP PREPARATION\nYou will need VPN software to access the U-M network on which Great Lakes is located.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software\, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\nOur Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes. \nPlease prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class. \nA Zoom link will be provided to the participants the day before the class. Registration is required.  Please note this session will be recorded. \n  \nIf you have questions about this workshop\, please send an email to the instructors at hpc-course@umich.edu \nPlease register at https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-6/register/
URL:https://micde.umich.edu/event/introduction-research-computing-on-the-great-lakes-cluster-4-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210621T130000
DTEND;TZID=America/Detroit:20210621T160000
DTSTAMP:20260604T211018
CREATED:20210607T134228Z
LAST-MODIFIED:20210607T134228Z
UID:10000484-1624280400-1624291200@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:OVERVIEW\nThis course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \n​ \nPRE-REQUISITES \nNone. \nINSTRUCTOR \nKenneth Weiss\nIT Project Senior Manager \nHITS Academic IT – HPC team \nKen is a High Performance Computing Consultant with the Health Information Technology & Services (HITS) Academic IT – HPC team at the University of Michigan. He works with a team of IT specialists to provide high performance computing support and training for the Medical School. Prior to this\, he spent 21 years managing research computing\, including an HPC cluster\, for Dr. Charles Sing in the Human Genetics Department. \nMATERIALS \n\nLecture Notes\nReference text: William E Shotts\, Jr.\, “The Linux Command Line: A Complete Introduction\,” No Starch Press\, January 2012 .http://linuxcommand.org/tlcl.php\nDownload Creative Commons Licensed version at http://downloads.sourceforge.net/project/linuxcommand/TLCL/13.07/TLCL-13.07.pdf\n\n\nCOURSE PREPARATION \nYou will need VPN software to access the U-M network.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to training host. Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the training host. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \n\nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software.  A demonstration of this software will be given during class.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\n\nDuring class you will be given the name of the training host to be able to participate in the hands-on activities. \nA Zoom link will be provided to the participants the day before the class. Registration is required.  Please note\, this session will be recorded.   \nIf you have questions about this workshop\, please send an email to the instructor at kgweiss@umich.edu \n\nRegister at https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-the-linux-command-line-30/register/
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-27-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210616T153000
DTEND;TZID=America/Detroit:20210616T163000
DTSTAMP:20260604T211018
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000476-1623857400-1623861000@micde.umich.edu
SUMMARY:GIS Fundamentals – Understanding and manipulating elevation data
DESCRIPTION:Elevation data can come in the form of point (e.g. from LiDAR)\, digital elevation model (DEM)\, or triangulated irregular network (TIN). In this workshop we will focus on DEM and TIN. We will learn about each model and related data structure\, their relative strengths\, the kind of information they provide\, and how to obtain downstream derived information. This is a lecture-style workshop and the primary focus will be about understanding the two models. However\, we will also see examples in ArcGIS or QGIS \n\nParticipants should know GIS and be familiar with vector and raster data.
URL:https://micde.umich.edu/event/gis-fundamentals-understanding-and-manipulating-elevation-data/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210615T100000
DTEND;TZID=America/Detroit:20210615T120000
DTSTAMP:20260604T211018
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000480-1623751200-1623758400@micde.umich.edu
SUMMARY:Image Segmentation using Deep Learning with FastAI
DESCRIPTION:Like other image processing problems\, deep learning has brought many effective solutions to the task of image segmentation. This workshop will introduce you to the methods used in image segmentation\, demonstrate how to prepare your own segmentation masks using Matlab\, and guide you through performing image segmentation using the FastAI [fast.ai] Python library\, which is built on the deep learning library PyTorch. Some familiarity with Python is expected\, but no previous experience with FastAI or PyTorch is needed. The workshop will be done online via Zoom. We will run the code using Google Colab (with free-to-use GPUs)\, which requires a Google account.
URL:https://micde.umich.edu/event/image-segmentation-using-deep-learning-with-fastai-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210608T110000
DTEND;TZID=America/Detroit:20210611T170000
DTSTAMP:20260604T211018
CREATED:20230905T171445Z
LAST-MODIFIED:20260401T195616Z
UID:10000473-1623150000-1623430800@micde.umich.edu
SUMMARY:XSEDE HPC HPC Summer Boot Camp
DESCRIPTION:OVERVIEW\nXSEDE\, along with the Pittsburgh Supercomputing Center is pleased to present a Hybrid Computing workshop. \nThis 4 day event will include MPI\, OpenMP\, GPU programming using OpenACC and accelerators. \nThis workshop will be remote to desktop only due to the COVID-19 pandemic.  When the registration has filled\, there will be no more students added due to our current limits. \nQuestions\nPlease address any questions to Tom Maiden at tmaiden@psc.edu.
URL:https://micde.umich.edu/event/xsede-hpc-summer_2021_bootcamp/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210604T153000
DTEND;TZID=America/Detroit:20210604T163000
DTSTAMP:20260604T211018
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000475-1622820600-1622824200@micde.umich.edu
SUMMARY:GIS Fundamentals - Height and Vertical Datum
DESCRIPTION:Understanding how heights are measured and recorded in GIS systems are essential for many applied tasks such as modeling flood risk due to sea level rise. In this workshop we will understand vertical datums\, the concept of height\, and what do terms like orthometric height and ellipsoid height mean. This will be a lecture-style workshop with a focus on conceptual details. \nParticipants should know basic GIS and should be familiar with horizontal datums.
URL:https://micde.umich.edu/event/gis-fundamentals-height-and-vertical-datum/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210604T100000
DTEND;TZID=America/Detroit:20210604T110000
DTSTAMP:20260604T211018
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000483-1622800800-1622804400@micde.umich.edu
SUMMARY:Marc Henry de Frahan Webinar
DESCRIPTION:Title: Leveraging modeling hierarchies in the Exascale era: applications to combustion technologies \nAbstract: As we approach the confluence of widespread use of machine learning techniques and simulations running at exascale\, several important challenges will need to be addressed. In this talk\, we explore some of these challenges\, with a specific focus on combustion applications. We discuss a combustion simulation code\, PeleC\, and its performance characteristics on the fastest supercomputers available today. We look at leveraging the resulting high-fidelity simulations to construct data-driven models for lower-fidelity simulations. We then examine how to adapt reinforcement learning methods to explore a modeling hierarchy and determine adequate control strategies for combustion technologies. \nBio: Marc Henry de Frahan is a computational scientist at the National Renewable Energy Laboratory\, where he works on improving next-generation wind and combustion processes. As part of the Exascale Computing Project\, Marc develops high-fidelity turbulence models to enhance simulation accuracy and efficient numerical algorithms for future high-performance computing hardware architectures. In addition to traditional physics-based modeling\, he is integrating deep neural networks into modeling and reinforcement learning into advanced control strategies. Marc obtained his PhD in Mechanical Engineering in 2016 from the University of Michigan. \n\nZoom information to connect: \nLink: https://umich.zoom.us/j/98133041706 \nPasscode: 762808
URL:https://micde.umich.edu/event/marc-henry-de-frahan-webinar/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,Seminar,Webinar
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/marc-henry-de-frahan.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210526T153000
DTEND;TZID=America/Detroit:20210526T170000
DTSTAMP:20260604T211018
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000474-1622043000-1622048400@micde.umich.edu
SUMMARY:GIS Fundamentals –  Spatial Database\, PostGIS
DESCRIPTION:PostGIS\, built on top of PostgreSQL\, is the most powerful open-source relational database for managing spatial data. In this workshop we will cover the basic concept of spatial databases\, learn about setting PostGIS\, and understand how PostGIS can help us manage large volumes of vector data spread over multiple tables and geometries efficiently.  We will also touch upon topics such as spatial indexing and the capabilities of PostGIS for other data models for 2-D GIS such as the network and raster data model.
URL:https://micde.umich.edu/event/gis-fundamentals-spatial-database-postgis/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210524T130000
DTEND;TZID=America/Detroit:20210524T150000
DTSTAMP:20260604T211018
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000472-1621861200-1621868400@micde.umich.edu
SUMMARY:SRTI: Software For Cross-Language Real-Time Data Communication
DESCRIPTION:Computer software simulation is used in virtually every discipline. These programs virtually represent small components of real-world events and behaviors\, and allow scientists to test different models to guide real-world research. However\, these can be individually complex\, and written in different computer languages and programs. It’s a difficult task to combine simulators from different parts of a research team to represent larger systems. \nThe “Simple Run-Time Infrastructure” is an open-source\, free-to-use software tool\, developed at the University of Michigan. It was built to simplify the process of sharing data between multiple live simulators\, using a “publish/subscribe” model with messages rather than directly to specific programs. This workshop will present the background of the SRTI’s development\, what it is capable of\, and will provide a step-by-step example for participants. \nJava will be required to run the SRTI. The live example will use an optional mixture that includes simulators written in Java\, Matlab\, and Python. \nThis special-track workshop (provided as a “seminar-style”) is open to researchers both inside and outside the University of Michigan. Up to 300 attendees can attend through Zoom.\nWe ask attendees to “register” by filling out the following Google Forms survey. The survey will provide a Zoom link for you to copy into your calendar.\nThe Google Forms survey link is: https://docs.google.com/forms/d/e/1FAIpQLSeMyniPQs7G1iuohuvSAdU4KE64-BQrCgrZRnC6YzxeCLFv7g/viewform?usp=sf_link \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/srti-software-for-cross-language-real-time-data-communication-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210510T130000
DTEND;TZID=America/Detroit:20210510T150000
DTSTAMP:20260604T211018
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000471-1620651600-1620658800@micde.umich.edu
SUMMARY:Software Development For Research: Best Practices for Coding Styles
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. Having a consistent coding style and following basic best practices used in the industry can help make your code easier to read and manage\, both internally in your teams and for public code projects available to other researchers. This workshop will cover some general guidelines and suggestions to clean up your coding style. Attendees will learn helpful tips for computer coding and how to make their code readable to other collaborators. \nRegistrants will receive a Zoom link within 24 hours of event. Please register at least 24 hours in advance.
URL:https://micde.umich.edu/event/software-development-for-research-best-practices-for-coding-styles-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210507T100000
DTEND;TZID=America/Detroit:20210507T120000
DTSTAMP:20260604T211018
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000467-1620381600-1620388800@micde.umich.edu
SUMMARY:Advanced ML topics: Algorithms\, writing ML code\, comparing implementations
DESCRIPTION:OVERVIEW\n\n\nThis workshop is designed as a follow-up to the basic introduction to machine learning earlier in this series. We will cover several examples in Python and compare different implementations. We will also look at advanced topics in machine learning\, such as GPU optimization\, parallel processing\, and deep learning. A basic understanding of Python is required. \nINSTRUCTORS\nMeghan Richey\nMachine Learning Specialist\nInformation and Technology Services – Advanced Research Computing – Technology Services \nMeghan Richey is a machine learning specialist in the Advanced Research Computing- Technology Services department at the University of Michigan. She consults on several faculty and student machine learning applications and research studies\, specializing in natural language processing and convolutional neural networks. Before her position at the university\, Ms. Richey worked for a defense contractor as a software engineer to design and implement software solutions for DoD-funded artificial intelligence efforts. \n\n\nA Zoom link will be provided to the participants the day before the class. Registration is required. \n\n\nInstructor will be available at the Zoom link\, to be provided\, from 9-10 AM for computer setup assistance. \nPlease note\, this session will be recorded.   \n\nRegister here \nIf you have questions about this workshop\, please send an email to the instructor at richeym@umich.edu
URL:https://micde.umich.edu/event/advanced-ml-topics-algorithms-writing-ml-code-comparing-implementations-2/
LOCATION:Your Desktop
CATEGORIES:Data Science,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210506T090000
DTEND;TZID=America/Detroit:20210506T163000
DTSTAMP:20260604T211018
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000469-1620291600-1620318600@micde.umich.edu
SUMMARY:Computing our way out of a pandemic: modeling in the face of COVID-19
DESCRIPTION:The COVID-19 pandemic has produced massive amounts of information that require an accurate analysis to predict outcomes and design solutions rapidly. It also has required experts from many different backgrounds to rally around in the quest for rapid responses in the race to save lives. \nMany of the most prominent of these researchers are from Michigan\, and a significant number of them are computational scientists who addressed questions such as: What measures should be taken to minimize contagion? Is it safe to ride a bus? How are supply and demand chains being affected? \nThis virtual symposium will bring together researchers from the State of Michigan to share their past and future insights into the pandemic. \n  \n\nView additional event details. \nView event agenda. \nThis is a free Zoom event\, open to the general public. Please register to attend. \n 
URL:https://micde.umich.edu/event/covid-19-modeling-seminar/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Conference,Featured Events,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210414T160000
DTEND;TZID=America/Detroit:20210414T170000
DTSTAMP:20260604T211018
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000470-1618416000-1618419600@micde.umich.edu
SUMMARY:MCAIM Colloquium: Sheperd S. Doeleman\, Harvard University\, Founding Director of the Event Horizon Telescope
DESCRIPTION:Talk Title: Black Hole Imaging: First Results and Future Vision \nAbstract: In April 2017\, the Event Horizon Telescope (EHT) carried out a global Very Long Baseline Interferometry (VLBI) observing campaign at a wavelength of 1mm that led to the first resolved image of a supermas- sive black hole. For the 6.5 billion solar mass black hole in the giant elliptical galaxy M87\, the EHT estimated the spin orientation and constrained models of accretion on Schwarzschild radius scales. This work relied on two decades of technical advances in ultra-high resolution interferometry and theoretical General Relativistic Magnetohydrodynamic (GRMHD) simulations. This talk will review these advances and recent new EHT results. \nWe will also look to the next decade when a next-generation EHT (ngE-HT) that doubles the number of participating radio dishes in the VLBI net-work will enable time-lapse movies of M87 that link the black hole to the relativistic jet it powers. For SgrA*\, the Galactic Center black hole that evolves on time scales 1000 times faster\, ngEHT will produce real-time video. \nBio: Sheperd S. Doeleman is an Astrophysicist at the Center for Astrophysics | Harvard & Smithsonian and Founding Director of the Event Horizon Telescope (EHT)\, a synchronized global array of radio observatories designed to examine the nature of black holes. He is also a Harvard Senior Research Fellow and a Project Co-Leader of Harvard’s recently established Black Hole Initiative (BHI). The BHI is a first-of-its-kind interdisciplinary program at the University that brings together the disciplines of Astronomy\, Physics\, Mathematics\, Philosophy\, and History of Science to define and establish black hole science as a new field of study. \nAs one of the founding members of the BHI\, Doeleman leads a team studying supermassive black holes with sufficient resolution to directly observe the event horizon itself. Using Very Long Baseline Interferometry (VLBI) methods\, the EHT telescope networks observe astronomical radio sources at 1.3 millimeter (mm) wavelengths. These sources include the supermassive black holes at the centers of our own Milky Way\, called Sagittarius A* (SgrA*)\, as well as in Messier 87 (M87)\, the supergiant elliptical galaxy in the constellation Virgo. \nDoeleman is a Guggenheim Fellow (2012) and was the recipient of the DAAD German Academic Exchange grant for research at the Max Planck Institute für Radioastonomie. He serves as a peer reviewer for the Astrophysical Journal\, Science\, and Nature\, among others.  Doeleman leads and co-leads research programs supported by grants from the National Science Foundation\, the National Radio Astronomy Observatory (NRAO) ALMA-NA Development Fund\, the Smithsonian Astrophysical Observatory\, the MIT International Science & Technology Initiatives (MISTI)\, the Gordon and Betty Moore Foundation\, and the John Templeton Foundation. He has taught at MIT and mentors students and post-doctoral fellows at MIT and Harvard. \nDoeleman received his B.A. from Reed College in 1986\, and left soon after for a year in Antarctica where he conducted multiple space-science experiments at McMurdo Station on the Ross Ice Shelf. With an appreciation for the challenges and rewards of instrumental work in difficult circumstances\, he returned to complete a Ph.D. in astrophysics at MIT. After visiting the Max Planck Institute as a recipient of the DAAD\, he came back to MIT in 1995 for a postdoctoral fellowship\, eventually serving as assistant director of the MIT Haystack Observatory. \nDoeleman’s interests focus on problems in astrophysics that require ultra-high resolving power—the ability to observe fine details of cosmic objects. His research employs the technique of Very Long Baseline Interferometry (VLBI)\, in which widely separated radio dishes are combined to form an Earth-sized virtual telescope. He has used this technique to study the atmospheres of dying stars\, as well as stars that are just being born. His group at MIT pioneered development of instrumentation that enables VLBI to achieve the greatest resolving power possible from the surface of the Earth. He carried out the first global experiments using these new systems that successfully measured the size of the supermassive black hole at the center of the Milky Way Galaxy and in the galaxy M87. He now directs the international Event Horizon Telescope project\, whose goal is to image the event horizon of a black hole\, the boundary where gravity is so strong that even light cannot escape. This project addresses several fundamental questions about the Universe: Do event horizons exist? Does Einstein’s theory of gravity hold near a black hole?  How do black holes affect the evolution of galaxies? \n\nJoin Zoom Meeting: https://umich.zoom.us/j/98619190605 \nMeeting ID: 986 1919 0605 \nPasscode: 286704 \nThis event is hosted by the Michigan Center for Applied and Interdisciplinary Mathematics.
URL:https://micde.umich.edu/event/mcaim-colloquium-sheperd-s-doeleman-harvard-university-founding-director-of-the-event-horizon-telescope/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/Sheperd-S.-Doeleman.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210413T100000
DTEND;TZID=America/Detroit:20210413T120000
DTSTAMP:20260604T211018
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000432-1618308000-1618315200@micde.umich.edu
SUMMARY:Object Detection using Deep Learning with TorchVision
DESCRIPTION:Like many image processing problems\, deep learning has brought many effective solutions to the task of object detection. The TorchVision library is part of the PyTorch project\, and it offers well-established and successful methods for object detection (as well as many other problems). This workshop will demonstrate the process of preparing your own image dataset and training it using TorchVision with one of Google Colab’s free-to-use GPUs. The workshop will be done online via Zoom. Some experience with Python is helpful\, but no previous experience with PyTorch is needed. Google Colab requires a Google account (e.g. your umich account).
URL:https://micde.umich.edu/event/object-detection-using-deep-learning-with-torchvision/
LOCATION:Your Desktop
CATEGORIES:Featured Events,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210412
DTEND;VALUE=DATE:20210417
DTSTAMP:20260604T211018
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000468-1618185600-1618617599@micde.umich.edu
SUMMARY:NVidia GTC 2021 Conference
DESCRIPTION:NVIDIA has their GTC technical conference April 12-16. It is free to attend and all online so no travel. Making you aware of this opportunity to hear from a global community of developers\, researchers\, engineers\, and innovators who are delivering over a 1000 sessions\, interactive panels\, demos\, and research posters. Registration is now open and the session catalog is published. Register HERE \nKeynote \nYou will want to attend NVIDIA CEO Jensen Huang’s keynote.  Traditionally NVIDIA uses Jensen’s keynote to make important announcements. \n\nKeynote: April 12\, 11:30am-12:30pm Eastern Time\n\nSessions \nSessions ranging from very technical developer and researcher-focused talks\, to business and implementation focused topics from leaders in their field. Below are a few examples of the sessions available at GTC 2021. (abstracts and details in the Session Catalog) \n\nAccelerating Ray Tracing for the IceCube Neutrino Observatory with CUDA\n\nBenedikt Reidel\, Computing Manager\, University of Wisconsin-Madison and IceCube Particle Astrophysics Center \n\nUsing Molecular Simulations to Help Drive Pharmaceutical Drug Discovery\n\nDavid Mobley\, Professor University of California\, Irvine \n\nConvergence of AI and HPC to Solve Grand Challenge Science Problems\n\nRommie Amaro\, Professor University of California\, Irvine \n\nToward a One-Hour Genomic Workup\n\nTychele Turner\, Assistant Professor Washington University in St Louis \n\nGPU-Accelerated Quantum Chemistry and Molecular Dynamics\n\nNVIDIA Engineers \nRegister today\, it only take a minute or two!
URL:https://micde.umich.edu/event/nvidia-gtc-2021-conference/
LOCATION:MI
CATEGORIES:Conference,Featured Events,GPU,High Performance Computing,hpc-events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210409T140000
DTEND;TZID=America/Detroit:20210409T153000
DTSTAMP:20260604T211018
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000466-1617976800-1617982200@micde.umich.edu
SUMMARY:GIS Fundamentals – (Map visualization - II)
DESCRIPTION:This workshop will further develop the material covered on mapping in the first workshop a few weeks back. We will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality bi-variate static and dynamic choropleth maps. We will also explore the functionalities of leaflet\, a powerful library\, to create web maps and add extra information about more than two variables. \nParticipants should have some familiarity with R\, but exposure to QGIS is not required.
URL:https://micde.umich.edu/event/gis-fundamentals-map-visualization-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210329T150000
DTEND;TZID=America/Detroit:20210329T163000
DTSTAMP:20260604T211018
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000465-1617030000-1617035400@micde.umich.edu
SUMMARY:GIS Fundamentals – (PostGIS-II)
DESCRIPTION:This workshop will further develop the material covered on spatial databases in the first workshop a few weeks back. PostGIS is the most widely used spatial database and is built on top of PostgreSQL\, a powerful open source relational database. The focus of this workshop is to exploit PostGIS to deal with big vector data\, and use familiar tools in R to reduce the burden to learn SQL. \n\nThis is a hands-on workshop. Please make sure that you have PostgreSQL installed along with pgAdmin. \nParticipants should be familiar with vector data processing in R.
URL:https://micde.umich.edu/event/gis-fundamentals-postgis-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210325T160000
DTEND;TZID=America/Detroit:20210325T170000
DTSTAMP:20260604T211018
CREATED:20230905T171443Z
LAST-MODIFIED:20260403T173114Z
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. \n  \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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210324T130000
DTEND;TZID=America/Detroit:20210324T150000
DTSTAMP:20260604T211018
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000440-1616590800-1616598000@micde.umich.edu
SUMMARY:Software Development For Research: Team-Based Programming Practices
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. When small or large teams are involved in coding the same project\, it’s a good idea to adopt team-based practices\, such as “pair programming” or “code review” meetings\, to ensure quality is maintained in the code. This hands-on workshop will provide examples of these topics in action\, and attendees will leave prepared to use these skills in their own work groups. \nThis is part of a series of workshops focused on software and coding from a research perspective.
URL:https://micde.umich.edu/event/software-development-for-research-team-based-programming-practices/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210319T150000
DTEND;TZID=America/Detroit:20210319T160000
DTSTAMP:20260604T211018
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000464-1616166000-1616169600@micde.umich.edu
SUMMARY:AIM/MICDE Seminar: Daniel Lecoanet\, Postdoctoral Fellow\, Princeton Center for Theoretical Science\, Astrophysical Sciences\, Princeton University
DESCRIPTION:Bio: Dr. Lecoanet earned a Bachelor of Science degree in Mathematics from the University of Wisconsin at Madison\, a Master’s degree in Applied Mathematics from the University of Cambridge\, and a PhD in Physics from the University of California\, Berkeley. He currently holds a joint postdoc position at the Princeton Center for Theoretical Science and as a Lyman Spitzer\, Jr. fellow at the Department of Astrophysical Sciences. Dr. Lecoanet works primarily on Astrophysical and Geophysical Fluid Dynamics. He is a core developer for Dedalus. \nPROBING THE CORES OF MASSIVE STARS THROUGH THEIR SURFACE: Stars are opaque\, which makes it difficult to study their interiors. Recent space-based telescopes have led to the new field of asteroseismology: by measuring global oscillation modes of a star\, you can infer its interior properties. Massive stars have convection in their cores which can generate waves\, which might be detectable at the surface. In the first part of this talk\, I will describe a heuristic way of estimating wave generation by convection\, and compare it to high-resolution numerical simulations in Cartesian geometry. To make quantitative predictions to compare with observations\, one must run simulations in spherical geometry. In the second part of my talk\, I will present a new spectral algorithm for solving nearly arbitrary\, tensorial PDEs in spherical coordinates. The challenge is to devise bases which respect regularity conditions at r=0\, which depend on the rank of the tensor. The algorithm can be easily applied to the problem of wave generation by convection in stars\, as well as a wide range of other problems in stellar astrophysics\, core geophysics\, and planetary sciences. \n\nThis seminar is co-presented by Applied and Interdisciplinary Mathematics program\, and the Michigan Institute for Computational Discovery & Engineering. Dr. Lecoanet will be hosted by Professor Charlie Doering\, the Nicholas D. Kazarinoff Collegiate Professor of Complex Systems\, Mathematics and Physics\, and Director of the Center for the Study of Complex Systems. \nRegister for this event to receive Zoom login information. \nThe MICDE Winter 2021 Seminar 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/micde-seminar-daniel-lecoanet-postdoctoral-fellow-princeton-center-for-theoretical-science-astrophysical-sciences-princeton-university/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2021/03/Daniel-Lecoanet.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210318T160000
DTEND;TZID=America/Detroit:20210318T170000
DTSTAMP:20260604T211018
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
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. \n  \n  \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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210318T110000
DTEND;TZID=America/Detroit:20210318T120000
DTSTAMP:20260604T211018
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000462-1616065200-1616068800@micde.umich.edu
SUMMARY:MICDE Seminar: Udo von Toussaint\, PD\, Group Leader at the Max-Planck-Institute for Plasmaphysics in Garching\, Divison Numerical Methods for Plasmaphysics
DESCRIPTION:WATCH THE RECORDING HERE. \nBio: Dr. Udo v. Toussaint earned his PhD in Physics at the University of Bayreuth in 2000. He then worked as a Postdoctoral Researcher at NASA Ames (RIACS)\, in Mountain View\, CA from 2000-2002.  Since 2003\, Dr. von Toussaint has been a Scientist at the Max-Planck Institute for Plasmaphysics in Garching. Dr. von Toussaint is also editor of the ‘Entropy’ journal. \nBesides plasma-wall interaction\, his research interests are focussed on the design of optimal analysis and measurement strategies (Bayesian experimental design) for computer- and physics experiments. This encompasses modern concepts of uncertainty quantification (UQ) of complex computer codes (e.g. Plasma-wall simulations) as well as active-learning systems\, which dynamically decide which action (e.g. measurement of a specific spectral line) might yield the most informative data based on the results from previous actions. This is addressed with Machine Learning techniques\, e.g. Hidden Markov Models (HMM)\, neutral networks or bayesian acyclic graphs and complemented by numerical methods like Markov Chain Monte Carlo (MCMC)\, sequential optimization or polynomial chaos expansion. \nA BAYESIAN APPROACH TO ARTIFICIAL NEURAL NETWORKS:  Artificial Neural networks (ANN) are famous for their advantageous flexibility for problems when there is insufficient knowledge to set up a proper model. On the other hand\, this flexibility can cause overfitting and can hamper the generalization and stability of ANNs. Many approaches to regularize ANNs have been suggested (e.g. L1- or L2-norm based regularization) but most of them are based on ad hoc arguments. Employing the principle of transformation invariance\, a general prior for feed-forward networks can be derived. This regularization prior not only favours cell and layer pruning but enable also a consistent Bayesian approach: Relying on Occam’s razor we demonstrate (as a proof of concept) how an ANN can be applied even in the >absence< of available training data. The relation to the concept of automatic relevance detection will be discussed. \n\nThe MICDE Winter 2021 Seminar Series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nDr. von Toussaint will be hosted by Professor Xun Huan\, Assistant Professor of Mechanical Engineering. \nRegister for this event via Zoom to receive an email with the link and passcode to connect. Note: You may register after the event has started. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-udo-von-toussaint-pd-group-leader-at-the-max-planck-institute-for-plasmaphysics-in-garching-divison-numerical-methods-for-plasmaphysics/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2021/03/Udo-von-Toussaint.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210317T150000
DTEND;TZID=America/Detroit:20210317T163000
DTSTAMP:20260604T211018
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000460-1615993200-1615998600@micde.umich.edu
SUMMARY:GIS Fundamentals – VI (Map visualization)
DESCRIPTION:This is the sixth workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications\, but we will also touch upon the technical aspects. \n\nThis workshop will cover basic concepts and tools available in QGIS and R for visualizing vector spatial data as single and bi-variate static choropleth maps. We will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality maps. \n\nParticipants should have some familiarity with R\, but exposure to QGIS is not required.
URL:https://micde.umich.edu/event/gis-fundamentals-vi-map-visualization/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210316T100000
DTEND;TZID=America/Detroit:20210316T120000
DTSTAMP:20260604T211018
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000431-1615888800-1615896000@micde.umich.edu
SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION:Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level\, Python interface running on top of multiple neural network libraries\, including the popular library TensorFlow. In this workshop\, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs\, as well as image classification using Convolutional Neural Networks (CNNs). We will also look at regularization techniques and how to deal with under- and over-fitting. All examples will use Python; some familiarity with Python is recommended. The workshop will be done online via Zoom. We will run the models using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-deep-neural-networks-with-keras-tensorflow-10/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210311T160000
DTEND;TZID=America/Detroit:20210311T170000
DTSTAMP:20260604T211018
CREATED:20230905T171300Z
LAST-MODIFIED:20260403T173218Z
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. \n  \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:20210311T140000
DTEND;TZID=America/Detroit:20210311T150000
DTSTAMP:20260604T211018
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000457-1615471200-1615474800@micde.umich.edu
SUMMARY:MICDE Seminar: Warren B. Mori\, Professor\, Physics and Astronomy\, Electrical and Computer Engineering\, University of California\, Los Angeles
DESCRIPTION:WATCH THE RECORDING HERE. \nBio: Warren B. Mori is a Distinguished Professor in the departments of Physics and Astronomy and of Electrical and Computer Engineering a UCLA. He received his BS from UC Berkeley in 1981\, and his M.S. and Ph.D. from UCLA in 1984 and 1987\, respectively. He has been at UCLA from 1981 until today. He served as the Director of the UCLA Institute for Digital Research and Education from 2006 until 2021. His current research interests are in advanced computing\, particle-in-cell simulations of plasmas\, basic plasma physics\, high intensity laser and beam plasma interactions\, plasma based accelerators and light sources\, nonlinear optics of plasmas\, inertial fusion science\, and high energy density science. He is the coauthor of more than 400 publications on a variety of topics in plasma and computational physics. He is a fellow of both APS (1997) and IEEE (2009) and is a current member of both societies. In 1987 he received the International Center for Theoretical Physics Medal for Excellence in Nonlinear Plasma Physics by a Young Researcher was a recipient of the Advanced Accelerator Concepts Prize in 2016 for\, “ his leadership and pioneering contributions in theory and particle-in-cell code simulations of plasma based particle acceleration.” In 2020 he received the APS James Clerk Maxwell prize for\, “leadership in and pioneering contributions to the theory and kinetic simulations of nonlinear processes in plasma-based acceleration and relativistically intense laser and beam plasma interactions. \nPLASMA BASED ACCELERATION AND THE ROLE OF HIGH FIDELITY SIMULATIONS IN ITS DEVELOPMENT\nParticle accelerators are critical components of high energy physics colliders and x-ray free electron lasers (XFELs)\, which are complex and expensive tools for scientific discovery. To reduce the size and cost of these tools there is active research aimed at finding new technologies for compact accelerators. One such possibility is the use of plasma waves which phase velocities near the speed of light that can be excited as wakefields behind intense lasers and particle beams as they traverse tenuous plasmas. These ideas are the basis for the field of plasma based acceleration (PBA). In this talk I will describe how PBA works\, and how high fidelity computer simulations have and are playing a critical role in its development. I will also describe the simulation methods and their associated algorithms. Last\, I will offer some perspectives for the future of plasma based acceleration and the simulation methods that will critical role in this future. Work supported by DOE and NSF.\n \n\nThis seminar is co-presented by the Michigan Institute for Computational Discovery & Engineering and the Michigan Institute for Plasma Science and Engineering. Dr. Mori will be hosted by Professor Alec Thomas\, Professor of Nuclear Engineering and Radiological Sciences\, Electrical Engineering and Computer Science\, and Physics. \nRegister for this event via Zoom to receive an email with the link and passcode to connect. Note: You may register after the event has started. \nThe MICDE Winter 2021 Seminar 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/micde-seminar-warren-mori-professor-physics-and-astronomy-electrical-and-computer-engineering-university-of-california-los-angeles/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2021/02/Warren-Mori.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210310T130000
DTEND;TZID=America/Detroit:20210310T150000
DTSTAMP:20260604T211018
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000439-1615381200-1615388400@micde.umich.edu
SUMMARY:Software Development For Research: Version Control Principles
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. Projects can quickly grow\, and it can be difficult to manage changes\, especially if multiple programmers are editing the same project at once! This workshop will cover Git\, a commonly-used tool for managing coding projects with multiple users\, with features to make or remove edits\, and track information related to those changes. After completing the workshop attendees will have a good understanding of Git workflow and will know how to perform the most common Git operations via the command line. \nThis is part of a series of workshops focused on software and coding from a research perspective.
URL:https://micde.umich.edu/event/software-development-for-research-version-control-principles/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
END:VCALENDAR