BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//IEEE Toronto Section - ECPv6.15.17//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:IEEE Toronto Section
X-ORIGINAL-URL:https://www.ieeetoronto.ca
X-WR-CALDESC:Events for IEEE Toronto Section
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:America/Toronto
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220620T160000
DTEND;TZID=America/New_York:20220620T170000
DTSTAMP:20260417T152902
CREATED:20220620T215321Z
LAST-MODIFIED:20220620T215321Z
UID:10000552-1655740800-1655744400@www.ieeetoronto.ca
SUMMARY:LMAG Chair Teleconference Agenda 2022-Jun-20 4:00 PM (EST)
DESCRIPTION:R7 LMAG MONTHLY MEETING\nOakville\, Ontario\, Canada\, L6H 2B1\, Virtual: https://events.vtools.ieee.org/m/317408
URL:https://www.ieeetoronto.ca/event/lmag-chair-teleconference-agenda-2022-jun-20-400-pm-est/
LOCATION:Oakville\, Ontario\, Canada\, L6H 2B1\, Virtual: https://events.vtools.ieee.org/m/317408
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220616T120000
DTEND;TZID=America/New_York:20220616T130000
DTSTAMP:20260417T152902
CREATED:20220607T203354Z
LAST-MODIFIED:20230402T171419Z
UID:10000545-1655380800-1655384400@www.ieeetoronto.ca
SUMMARY:Backhaul Solutions for 6G Using Hybrid FSO/THz Communication Systems
DESCRIPTION:The IEEE Toronto Chapter is delighted to host Dr. Behrooz Makki\, a Senior Researcher with Ericsson Research\, Gothenburg\, Sweden. In his work\, Dr. Behroooz studies the potentials and the challenges of hybrid free-space optics (FSO)/ terahertz (THz) based communications as a potential tool for high-rate reliable backhauling in 6G. He studies the effect of different data transmission models and parameters such as atmospheric turbulence and pointing error impairments on the performance of FSO/THz systems\, and compares the results with those obtained in the cases with only the FSO or the THz links. The presented results indicate that\, with a proper switching method\, the joint implementation of the FSO/THz links improves the rate/reliability of the backhaul links with limited switching overhead.\nSpeaker(s): Behrooz Makki\,\nVirtual: https://events.vtools.ieee.org/m/316378
URL:https://www.ieeetoronto.ca/event/backhaul-solutions-for-6g-using-hybrid-fso-thz-communication-systems/
LOCATION:Virtual: https://events.vtools.ieee.org/m/316378
CATEGORIES:Communications
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20220614T160000
DTEND;TZID=America/Toronto:20220614T170000
DTSTAMP:20260417T152902
CREATED:20220609T204505Z
LAST-MODIFIED:20220609T205220Z
UID:10000547-1655222400-1655226000@www.ieeetoronto.ca
SUMMARY:Forum about the Metaverse - Hybrid Event
DESCRIPTION:The Metaverse is the latest futuristic technology trend capturing public attention\, with young people looking at spending time in virtual environments\, and even leading consumer brands buying places in the Metaverse. But what is the Metaverse\, and where might it go? \nJoin Yu Yuan\, Steve Mann\, and Monique Morrow to hear from leading experts about key questions such as how this technology is evolving\, but also what socio-technical and ethical questions have to be addressed to ensure that these technologies positively contribute to enhancing life and augmenting human experiences. \n\nRegister at: https://engagestandards.ieee.org/SASB-June-2022-Metaverse.html
URL:https://www.ieeetoronto.ca/event/11972/
LOCATION:Toronto\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220613T180000
DTEND;TZID=America/New_York:20220613T200000
DTSTAMP:20260417T152902
CREATED:20220606T210130Z
LAST-MODIFIED:20220613T205109Z
UID:10000544-1655143200-1655150400@www.ieeetoronto.ca
SUMMARY:C# Development 101 (06 out of 06)
DESCRIPTION:Join the IEEE Toronto Magnetics Chapter and Women in Engineering for a C# Development workshop. \nSpeaker(s): Reza Dibaj \nRegister: https://events.vtools.ieee.org/m/314674
URL:https://www.ieeetoronto.ca/event/c-development-101-06-out-of-06/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/314674
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220613T160000
DTEND;TZID=America/New_York:20220613T180000
DTSTAMP:20260417T152902
CREATED:20220606T205950Z
LAST-MODIFIED:20220613T205108Z
UID:10000542-1655136000-1655143200@www.ieeetoronto.ca
SUMMARY:Python Development 101 (06 out of 06)
DESCRIPTION:Python Development 101 continues with the IEEE Toronto Magnetics chapter and WIE. \nSpeaker(s): Reza Dibaj \nRegister: https://events.vtools.ieee.org/m/314669
URL:https://www.ieeetoronto.ca/event/python-development-101-06-out-of-06/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/314669
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220606T180000
DTEND;TZID=America/New_York:20220606T200000
DTSTAMP:20260417T152902
CREATED:20220606T210046Z
LAST-MODIFIED:20220606T210046Z
UID:10000543-1654538400-1654545600@www.ieeetoronto.ca
SUMMARY:C# Development 101 (05 out of 06)
DESCRIPTION:Join the IEEE Toronto Magnetics Chapter and Women in Engineering for a C# Development workshop. \nSpeaker(s): Reza Dibaj \nRegister: https://events.vtools.ieee.org/m/314673
URL:https://www.ieeetoronto.ca/event/c-development-101-05-out-of-06/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/314673
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220606T160000
DTEND;TZID=America/New_York:20220606T180000
DTSTAMP:20260417T152902
CREATED:20220606T205930Z
LAST-MODIFIED:20220606T205930Z
UID:10000541-1654531200-1654538400@www.ieeetoronto.ca
SUMMARY:Python Development 101 (05 out of 06)
DESCRIPTION:Python Development 101 continues with the IEEE Toronto Magnetics chapter and WIE. \nSpeaker(s): Reza Dibaj \nRegister: https://events.vtools.ieee.org/m/314668
URL:https://www.ieeetoronto.ca/event/python-development-101-05-out-of-06/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/314668
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220603T160000
DTEND;TZID=America/New_York:20220603T180000
DTSTAMP:20260417T152902
CREATED:20220606T205843Z
LAST-MODIFIED:20220606T205843Z
UID:10000540-1654272000-1654279200@www.ieeetoronto.ca
SUMMARY:C# Development 101 (04 out of 06)
DESCRIPTION:C# Development 101 continues with the Magnetics chapter and WIE. \nSpeaker(s): Reza Dibaj \nRegister: https://events.vtools.ieee.org/m/314672
URL:https://www.ieeetoronto.ca/event/c-development-101-04-out-of-06/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/314672
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220603T160000
DTEND;TZID=America/New_York:20220603T170000
DTSTAMP:20260417T152902
CREATED:20220526T190131Z
LAST-MODIFIED:20220603T104757Z
UID:10000534-1654272000-1654275600@www.ieeetoronto.ca
SUMMARY:C/ID: A Design Methodology for Implementing Nanoscale Analog FET Circuits.
DESCRIPTION:Most of the existing circuit design methodologies are based on iterative methods\, which are very time consuming and sometimes far from being optimal. The process of analog circuit design is generally so complex that most designers rely mainly on their own intuition to design and move toward an acceptable design point\, which in many cases is based on a long process of trial-and-errors. There are two dominant circuit design methodologies used in academic institutions and industry: (1) Inversion-Coefficient (IC) method\, and (2) Gm/IDS (GmID) approach. While IC method is more analytical\, GmID require extensive device characterizations in order to create a comprehensive data-base describing device behavior in all modes of operations for different device sizes. Meanwhile\, designers need to develop their own optimization scripts to search through all possible design points and select the best fit for their application\, as these methodologies are not supported by the common EDA Tools. \nIn this seminar\, an improved design methodology will be introduced\, which lies somewhere between the two approaches. Called C/IDS\, the proposed design methodology requires prior knowledge on only few technology-dependent parameters\, which are very easy to extract. Due to its analytical nature\, this approach provides comprehensive design insight\, while the flow of design can be automatized easily. Several examples will be provided to show effectiveness of the proposed algorithm for implementing energy and power efficient circuits. A set of data points demonstrating how performance of analog circuits evolve with technology scaling will be provided. \nSpeaker(s): Armin Tajalli \nRegister: https://events.vtools.ieee.org/m/314527 \nBiography:Armin Tajalli received his B.S. from Sharif University of Technology\, Tehran\, Iran\, and the Ph.D. from Swiss Federal Institute of Technology (EPFL)\, Lausanne\, Switzerland. He was part of the initiating team and a Senior Analog Architect with Kandou Bus\, Lausanne\, Switzerland\, where he is currently the lead of the R&D Department. Since December 2017\, he has joined as an Assistant Professor to the University of Utah\, Salt Lake City\, USA. He has published more than 90 articles in peer reviewed journals and conferences and holds 40 patents. He has received several awards\, including The Best Paper Award in DesignCon (2016)\, PhD Prime Award at EPFL\, Switzerland (2010)\, and IEEE AMD/CICC Scholarship (2009). He is currently serving as a Technical Program Committee (TPC) Member in IEEE CICC and ESSCIRC\, and an Associate Editor of the IEEE Transactions on VLSI Systems.
URL:https://www.ieeetoronto.ca/event/c-id-a-design-methodology-for-implementing-nanoscale-analog-fet-circuits/
LOCATION:Virtual: https://events.vtools.ieee.org/m/314527
CATEGORIES:Circuits & Devices
ORGANIZER;CN="Wagih Ismail":MAILTO:wagih.ismail@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220530T160000
DTEND;TZID=America/New_York:20220530T180000
DTSTAMP:20260417T152902
CREATED:20220606T205746Z
LAST-MODIFIED:20220606T205746Z
UID:10000539-1653926400-1653933600@www.ieeetoronto.ca
SUMMARY:Python Development 101 (04 out of 06)
DESCRIPTION:Python Development 101 continues with the IEEE Toronto Magnetics chapter and WIE. \nSpeaker(s): Reza Dibaj \nRegister: https://events.vtools.ieee.org/m/314667
URL:https://www.ieeetoronto.ca/event/python-development-101-04-out-of-06/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/314667
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220527T180000
DTEND;TZID=America/New_York:20220527T200000
DTSTAMP:20260417T152902
CREATED:20220526T185938Z
LAST-MODIFIED:20220528T100255Z
UID:10000533-1653674400-1653681600@www.ieeetoronto.ca
SUMMARY:Data Visualization using Tableau
DESCRIPTION:Join the IEEE Toronto Magnetics Chapter and Women In Engineering for this two-hour data visualization workshop! \nVisualization is an indispensable part of today’s data science\, and Tableau is one of the most common tools for visualization. In a two-hour workshop technical presentation\, we will quickly go through the fundamentals of Tableau visualization. \nSpeaker(s): Dr. Reza Dibaj \nVirtual: https://events.vtools.ieee.org/m/315202
URL:https://www.ieeetoronto.ca/event/data-visualization-using-tableau/
LOCATION:Virtual: https://events.vtools.ieee.org/m/315202
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220527T160000
DTEND;TZID=America/New_York:20220527T180000
DTSTAMP:20260417T152902
CREATED:20220606T204156Z
LAST-MODIFIED:20220606T204156Z
UID:10000537-1653667200-1653674400@www.ieeetoronto.ca
SUMMARY:C# Development 101 (03 out of 06)
DESCRIPTION:IEEE Toronto’s Magnetic Chapter and WIE C# Development 101 continues. \nSpeaker(s): Reza Dibaj \nRegister: https://events.vtools.ieee.org/m/314671
URL:https://www.ieeetoronto.ca/event/c-development-101-03-out-of-06/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/314671
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220526T200000
DTEND;TZID=America/New_York:20220526T213000
DTSTAMP:20260417T152902
CREATED:20220526T185754Z
LAST-MODIFIED:20220526T185803Z
UID:10000532-1653595200-1653600600@www.ieeetoronto.ca
SUMMARY:MATLAB Deep learning Seminar
DESCRIPTION:Join MathWorks and IEEE to learn Deep-Learning Seminar. Dr. Aycan Hacioglu (MathWorks) will demonstrate how to manage\, automated labelling and augment large data sets. We will also show you how to leverage pre-trained models such as GoogLeNet\, ResNet for transfer learning and more! \nCo-sponsored by: Vancouver Section Affinity Group\,YP \nVirtual: https://events.vtools.ieee.org/m/314598
URL:https://www.ieeetoronto.ca/event/matlab-deep-learning-seminar/
LOCATION:Virtual: https://events.vtools.ieee.org/m/314598
CATEGORIES:Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220519T140000
DTEND;TZID=America/New_York:20220519T150000
DTSTAMP:20260417T152902
CREATED:20220518T190956Z
LAST-MODIFIED:20220524T100554Z
UID:10000364-1652968800-1652972400@www.ieeetoronto.ca
SUMMARY:Navigating the Tech Transfer Process for Researchers
DESCRIPTION:IEEE Canada Industry Relations together with the Toronto section present you the following talk. \nThis session will be presented by Jim Banting\, Assistant Vice-Principal (Partnerships and Innovation) at Queen’s University. Topics will include understanding your University’s IP policy\, writing an invention disclosure\, working with the technology your transfer office\, the importance of a ‘title’ check (checking to ensure IP rights were not given away in a research contract\, for example)\, market and patentability assessment\, drafting and filing a patent application\, terms for licensing a technology from University to NewCo\, sources of funding (dilutive/non-dilutive)\, and an overview of the innovation ecosystem (e.g. accelerators\, incubators and other programs to support startup growth). \nSpeaker(s): Jim Banting \nRegister: https://events.vtools.ieee.org/m/311734 \nBiography: Jim Banting is the Assistant Vice-Principal (Partnerships and Innovation) at Queen’s University. His career began as a co-founder of the Queen’s spin-off company named Vaxis Therapeutics. Vaxis was venture capital-funded\, grown\, and sold to a U.S. specialty pharmaceutical company.  A large portion of Jim’s career has entailed a focus on partnerships\, licensing\, and M&\, in the biotech sector in the United States.  He returned to Canada in 2014 to serve as President & CEO of PARTEQ Innovations\, the commercialization unit for Queen’s\, which has since been incorporated into Queen’s University Partnerships and Innovation unit with the office of the VP Research. He holds Ph.D. and B.Sc.H. degrees from Queen’s University.
URL:https://www.ieeetoronto.ca/event/navigating-the-tech-transfer-process-for-researchers/
LOCATION:Virtual: https://events.vtools.ieee.org/m/311734
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220514T180000
DTEND;TZID=America/New_York:20220514T190000
DTSTAMP:20260417T152902
CREATED:20220518T191134Z
LAST-MODIFIED:20220524T100553Z
UID:10000526-1652551200-1652554800@www.ieeetoronto.ca
SUMMARY:Visualization Techniques in Cancer Level Detection System – Students’ Research in ML and DL at Durham College
DESCRIPTION:Cancer is one of the leading causes of death in the world. To tackle this menace\, pathologists need a faster and better way to diagnose their patients. This led the team to work on evaluating different machine learning models to find out which model works best in accurately predicting the level of cancer development in a patient. In the course of the project\, we explored different features of our datasets with the help of visualization tools like tableau and python data visualization libraries to enable us to see the relationship between each feature and the level of cancer in a patient. We also\, in the end\, evaluated the performance of each algorithm using python visualization tools to better understand which algorithms performed the best. \nSpeaker(s): Rakesh Pattanayak\, Chisom Nnabuisi\, Dhruv Mistry\, Kar Chun Kan\, Shanuka Rathnayake \nRegister: https://events.vtools.ieee.org/m/313212
URL:https://www.ieeetoronto.ca/event/visualization-techniques-in-cancer-level-detection-system-students-research-in-ml-and-dl-at-durham-college/
LOCATION:toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/313212
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220513T190000
DTEND;TZID=America/New_York:20220513T210000
DTSTAMP:20260417T152902
CREATED:20220518T191548Z
LAST-MODIFIED:20220524T100553Z
UID:10000528-1652468400-1652475600@www.ieeetoronto.ca
SUMMARY:C# Development 101 - Introduction (01 out of 06)
DESCRIPTION:Join the IEEE Toronto Magnetics Chapter and Women in Engineering for a C# Development workshop. \nSpeaker(s): Reza Dibaj \nRegister: https://events.vtools.ieee.org/m/314229
URL:https://www.ieeetoronto.ca/event/c-development-101-introduction-01-out-of-06/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/314229
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220513T180000
DTEND;TZID=America/New_York:20220513T190000
DTSTAMP:20260417T152902
CREATED:20220518T191404Z
LAST-MODIFIED:20220524T100553Z
UID:10000527-1652464800-1652468400@www.ieeetoronto.ca
SUMMARY:Visualization Techniques to Demonstrate the Cause of Climate Changes – Students’ Research in ML and DL at Durham College
DESCRIPTION:We might always be confused about climate and weather\, and what is the difference between each other? Weather refers to the day-to-day temperature and atmospheric conditions\, whereas climate is the average weather in a specific region over a long period. The simplest way to describe climate is to analyze the average temperature and precipitation over time. Climate change relates to the shift in the average conditions such as average temperature and rainfall in a region over a period. Global climate change describes the average long-term changes over the entire Earth. Global warming\, Rise in sea level\, and Shrinking Mountain glaciers are a few of the adverse effects of climatic changes. Greenhouse gases are the prominent factors for the rising temperature\, which is the main factor contributing to global warming. Among the greenhouse gases\, carbon dioxide is the main factor that traps the heat in the atmosphere\, which makes an increase in the overall temperature that can affect lives on Earth. Earth’s temperature has risen by 0.14° F (0.08° C) per decade since 1880\, and the rate of warming over the past 40 years is more than twice that: 0.32° F (0.18° C) per decade since 1981. We will try to find the possible reasons for climatic changes and the factors that contributed to the current situation. Moreover\, we will consider greenhouse gas emissions and their harmful effects on climatic changes\, different countries’ contributions to this global problem\, and measures taken by officials to reduce its impact. \nSpeaker(s): Neenu Markose\, Akhil Mathew \nRegister: https://events.vtools.ieee.org/m/313211
URL:https://www.ieeetoronto.ca/event/visualization-techniques-to-demonstrate-the-cause-of-climate-changes-students-research-in-ml-and-dl-at-durham-college/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/313211
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Maryam Davoudpour":MAILTO:maryam.davoudpour@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220513T160000
DTEND;TZID=America/New_York:20220513T170000
DTSTAMP:20260417T152902
CREATED:20220518T191706Z
LAST-MODIFIED:20220524T100553Z
UID:10000529-1652457600-1652461200@www.ieeetoronto.ca
SUMMARY:Data Analysis and Visualization Techniques in Supermarket Sales – Students’ Research in ML and DL at Durham College
DESCRIPTION:We will explain the significance of visualization charts in narratives and presentations with a brief explanation of chart appropriateness\, noise reduction\, and decluttering aspects. We will continue by shedding light on the necessity of good communication tactics\, criteria and approaches for improving visuals and narrative techniques. Moreover\, applying the above concepts\, we will explain how to use tableau as a software application to produce visuals to perform the superstore sales data analysis. Furthermore\, we will analyze supermarket sales data\, using appropriate charts for six product lines\, customer types\, and payment methods. We will use six categories of products\, i.e. Electronic accessories\, Food & Beverages\, Health & Beauty\, Home & Lifestyle\, and Sports & travelling products\, to carry out the analysis. We will emphasize the research’s target audience by providing pertinent insights and making recommendations. \nSpeaker(s): Minu Ahlawat\, Megha Garg\, Dwij Dua & Taxil Savani \nRegister: https://events.vtools.ieee.org/m/313209
URL:https://www.ieeetoronto.ca/event/data-analysis-and-visualization-techniques-in-supermarket-sales-students-research-in-ml-and-dl-at-durham-college/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/313209
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220512T160000
DTEND;TZID=America/New_York:20220512T170000
DTSTAMP:20260417T152902
CREATED:20220518T191802Z
LAST-MODIFIED:20220524T100552Z
UID:10000530-1652371200-1652374800@www.ieeetoronto.ca
SUMMARY:Visualization Techniques in Text Summarization of Online Transcripts – Students’ Research in ML and DL at Durham College
DESCRIPTION:Text summarization is a method for generating a summary of long texts by focusing on the sections that contain essential information while keeping the overall meaning intact. Its goal is to reduce the size of long documents\, which would be difficult and expensive to process manually. With the current explosion of data circulating in digital space\, particularly unstructured textual data\, there is a need to build tools that allow people to extract insights from it. Taking notes is a popular practice for many people employed in situations where it is essential to keep track of what is said\, such as during an online lecture. The art of note-taking does not entail taking down every single word stated but rather broad summaries of what is covered. Making succinct yet informative summaries is the key to successful note-taking. In this seminar\, we will be discussing how we have used visualization and data storytelling techniques in our project to make informed decisions. This project aims to address the difficulties of note-taking by building an application that produces notes based on the transcripts generated by the Automatic Speech Recognition (ASR) technology of the meeting platforms. We relied on visualization concepts for three major decisions that would define our project as a whole. These decisions are the choice of online meeting platform\, preference of text summarization model and the messaging platform choice. \nSpeaker(s): Manoj Varma Alluri\, Navaneeth Jawahar\, Sharath Kumar Prabhu\, Jeel Jani \nRegister: https://events.vtools.ieee.org/m/313207
URL:https://www.ieeetoronto.ca/event/visualization-techniques-in-text-summarization-of-online-transcripts-students-research-in-ml-and-dl-at-durham-college/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/313207
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220512T140000
DTEND;TZID=America/New_York:20220512T150000
DTSTAMP:20260417T152902
CREATED:20220518T191856Z
LAST-MODIFIED:20220524T100552Z
UID:10000531-1652364000-1652367600@www.ieeetoronto.ca
SUMMARY:Fraud Data Analysis & Exploration using Interactive Tableau Dashboard – Students’ Research in ML and DL at Durham College
DESCRIPTION:Credit card fraud detection is an ever-growing problem in today’s financial market with a rapid increase in plastic card usage worldwide. According to the Nelson report\, by 2027\, financial service providers are expected to take a $40 billion hit globally in credit card losses\, a significant increase compared to previous years. Hence\, data-driven decisions can largely help in mitigating that risk. We chose this topic to deep dive into different aspects of Fraud Data Analysis & Exploration using Interactive Tableau Dashboard. Tableau dashboards can be very powerful in driving data-driven decisions. We created an interactive dashboard to help stakeholders or less technical people to drive insights\, understand data better\, and help in business decisions making. The interactive feature helps users to add filters as per their needs and understand the data in a way they want to analyze. Our dashboard is dynamic and would be updated when several filters are applied together. Multiple filters can be added to multiple charts at the same time. These charts are intuitive which makes even new users easily interact and understand the data. \nSpeaker(s): Priyanka Singh & Devy Ratnasari \nRegister: https://events.vtools.ieee.org/m/313201
URL:https://www.ieeetoronto.ca/event/fraud-data-analysis-exploration-using-interactive-tableau-dashboard-students-research-in-ml-and-dl-at-durham-college/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/313201
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220510T110000
DTEND;TZID=America/New_York:20220510T120000
DTSTAMP:20260417T152902
CREATED:20220505T201243Z
LAST-MODIFIED:20220511T081818Z
UID:10000362-1652180400-1652184000@www.ieeetoronto.ca
SUMMARY:High Order Adaptive Mesh Refinement (AMR) for Divergence Constraint-Preserving Schemes (Prof. Dinshaw Balsara\, U. of Notre Dame)
DESCRIPTION:Join the IEEE Toronto Electromagnetics & Radiation Society Chapter for a talk on High Order Adaptive Mesh Refinement\, presented by Professor Dinshaw S. Balsara. \nAbstract: Adaptive mesh refinement (AMR) is the art of solving PDEs on a mesh hierarchy with increasing mesh refinement at each level of the hierarchy. Accurate treatment on AMR hierarchies requires accurate prolongation of the solution from a coarse mesh to a newly-defined finer mesh. For scalar variables\, suitably high order finite volume WENO methods can carry out such a prolongation. However\, classes of PDEs\, like computational electrodynamics (CED) and magnetohydrodynamics (MHD)\, require that vector fields preserve a divergence constraint. The primal variables in such schemes consist of normal components of the vector field that are collocated at the faces of the mesh. As a result\, the reconstruction and prolongation strategies for divergence constraint-preserving vector fields are necessarily more intricate. \nIn this talk\, we present a fourth order divergence constraint-preserving prolongation strategy that is analytically exact. Extension to higher orders using analytically exact methods is very challenging. To overcome that challenge\, a novel WENO-like reconstruction strategy is invented that matches the moments of the vector field in the faces where the vector field components are collocated. This approach is almost divergence constraint-preserving; so we call it WENO-ADP. To make it exactly divergence constraint-preserving\, a touch-up procedure is developed that is based on a constrained least squares (CLSQ) based method for restoring the divergence constraint up to machine accuracy. With the touch-up\, it is called WENO-ADPT. It is shown that refinement ratios of two and higher can be accommodated. An item of broader interest in this work is that we have also been able to invent very efficient finite volume WENO methods where the coefficients are very easily obtained and the multidimensional smoothness indicators can be expressed as perfect squares. We demonstrate that the divergence constraint-preserving strategy works at several high orders for divergence-free vector fields as well as vector fields where the divergence of the vector field has to match a charge density and its higher moments. We also show that our methods overcome the late time instability that has been known to plague adaptive computations in Computational Electrodynamics. \nCo-sponsored by: Center for Computational Science and Engineering\, University of Toronto \nSpeaker(s): Prof. D. S. Balsara\, \nRegister: https://events.vtools.ieee.org/m/312557 \nBiography: Dinshaw S. Balsara received the Ph.D. degree in computational physics and astrophysics from the University of Illinois at Urbana-Champaign\, Champaign\, IL\, USA\, in 1990. He is currently a Professor with the Department of Physics and the Department of Applied and Computational Mathematics and Statistics. He has developed computational algorithms and applications in the areas of interstellar medium\, turbulence\, star formation\, planet formation\, the physics of accretion disks\, compact objects\, and relativistic astrophysics. Many of the algorithms developed by him for higher order methods have seen extensive use and have been copiously cited. Dr. Balsara was the recipient of the 2014 Department of Energy Award of Excellence for significant contributions to the Stockpile Stewardship Program and the 2017 Global Initiative on Academic Networks Award from the Government of India. He serves the community as an Associate Editor of Journal of Computational Physics and Computational Astrophysics and Cosmology.
URL:https://www.ieeetoronto.ca/event/high-order-adaptive-mesh-refinement-amr-for-divergence-constraint-preserving-schemes-prof-dinshaw-balsara-u-of-notre-dame/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/312557
CATEGORIES:Electromagnetics & Radiation
ORGANIZER;CN="Costas Sarris":MAILTO:costas.sarris@utoronto.ca
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220507T180000
DTEND;TZID=America/New_York:20220507T190000
DTSTAMP:20260417T152902
CREATED:20220505T200912Z
LAST-MODIFIED:20220507T074848Z
UID:10000361-1651946400-1651950000@www.ieeetoronto.ca
SUMMARY:Alert on Mask Detection System – Students Research in ML and DL at Durham College
DESCRIPTION:As a result of the fast development and spread of the COVID-19 pandemic throughout the world\, people’s everyday lives have been severely disrupted in recent times. One proposal for controlling the epidemic is to make individuals wear face masks in public. As a result\, we require face detection systems that are both automated and efficient for such enforcement. We propose a face mask identification model for static and real-time videos in this research\, and the pictures are classified as “with mask” or “without a mask.” The model uses a Kaggle dataset to train and test. The collected data set contains over 10\,000 images (considering 5\,000 with mask and similarly 5\,000 without) and has a 98 percent performance accuracy rate. The proposed model is computationally efficient and precise compared to Haar-Cascade & ANN. The application of this research are various\, including digitized scanning tool in schools\, hospitals\, banks\, airports\, and many other public or commercial locations. \nSpeaker(s): Henil Shah\, Neenu Markose \nRegister: https://events.vtools.ieee.org/m/312341
URL:https://www.ieeetoronto.ca/event/alert-on-mask-detection-system-students-research-in-ml-and-dl-at-durham-college/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/312341
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220506T183000
DTEND;TZID=America/New_York:20220506T203000
DTSTAMP:20260417T152902
CREATED:20220526T190240Z
LAST-MODIFIED:20220526T190240Z
UID:10000535-1651861800-1651869000@www.ieeetoronto.ca
SUMMARY:HUMBER IN PERSON COMPETITIVE PROGRAMMING WORKSHOPS
DESCRIPTION:Dr. Andrew Rudder will be teaching programming concepts with a focus on competitive programming. Various languages may be used. You should be familiar with any of the following programming languages Java\, C#\, C\, C++ or python. A basic knowledge of selection logic (such as if statements)\, loops and functions are sufficient. \nThis is a prerequisite for Humber IEEE Students attending IEEExtreme 16.0 in October 2022. Course continues depending on registration. Course is free. Available to any current Humber students. \nCourse will probably last until October 2022. Breaks for Humber Midterm exams\, final exams and reading weeks. \nLocation: Building F\, 205 Humber College Blvd\, Etobicoke\, Ontario\, Canada\, M9W5L7 \nRegister: https://events.vtools.ieee.org/m/312262
URL:https://www.ieeetoronto.ca/event/humber-in-person-competitive-programming-workshops/
LOCATION:Bldg: F\, 205 Humber College Blvd\, Etobicoke\, Ontario\, Canada\, M9W5L7\, Virtual: https://events.vtools.ieee.org/m/312262
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220506T180000
DTEND;TZID=America/New_York:20220506T190000
DTSTAMP:20260417T152902
CREATED:20220502T172656Z
LAST-MODIFIED:20220507T074847Z
UID:10000357-1651860000-1651863600@www.ieeetoronto.ca
SUMMARY:Cancer Level Detection System – Students Research in ML and DL at Durham College
DESCRIPTION:Cancer ranks as a leading cause of death and an important barrier to increasing life expectancy everywhere. According to available data\, lung cancer contributes the most to cancer deaths. Also\, according to available data\, those diagnosed early have a 50 percent chance of survival over those diagnosed with late-stage cancer. It means that early detection is paramount to the survival of a lung cancer patient\, leading to a reduction in the number of cancer deaths. We\, therefore\, evaluated six different machine learning algorithms to see which one performed optimally in accurately predicting the level of lung cancer development in a patient. We considered various parameters when choosing the dataset for this evaluation as the pathogenesis of lung cancer involves a combination of intrinsic factors and exposure to environmental carcinogens. We also considered varying the features in our data\, categorizing them under diagnostic risk factors (age\, gender\, alcohol use\, air pollution\, balanced diet\, obesity\, smoking\, passive smoker) and symptoms (fatigue\, weight loss\, shortness of breath\, swallowing difficulty\, frequent cold\, dry cough) and the inferences we drew from this indicated that those that have the symptom features prior to diagnosis had the highest chance of being diagnosed with a high level of cancer. The final results of our evaluation showed that the best levels of predictions on new data were achieved by optimized Random Forest\, KNN\, and SVM models. \nSpeakers: Rakesh Pattanayak\, Chisom Nnabuisi\, Dhruv Mistry\, Kar Chun Kan\, Shanuka Rathnayake \nRegister: https://events.vtools.ieee.org/m/312340
URL:https://www.ieeetoronto.ca/event/cancer-level-detection-system-students-research-in-ml-and-dl-at-durham-college/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/312340
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220505T183000
DTEND;TZID=America/New_York:20220505T203000
DTSTAMP:20260417T152902
CREATED:20220502T172442Z
LAST-MODIFIED:20220506T073312Z
UID:10000355-1651775400-1651782600@www.ieeetoronto.ca
SUMMARY:Humber Computer Hardware/Software Thursday evening
DESCRIPTION:Computer Hardware/Software course comparing Arduinos/ESP32/STM32/Raspberry Pi with simple to advanced programming in Arduino IDE in C++. Hardware includes Radios\, LED Displays\, LCD displays\, Servos\, I2c\, Clock chips\, Analog/Digital\, Touch Screens\, Flash Memory\, TSOP infrared\, TCP/IP\, Bluetooth and BLE Mesh. Do you want to learn beyond what Humber can offer? \nCourse is free. In-Person. Available to Humber Students on Thursday Evenings from 6:30 to 8:30. Also available Saturdays from 2-4. \nCourse is dependent on registrants and availability of lab space at that time. \nLocation: J232 Pending Approval\, Bldg: J\, 205 Humber College Blvd\,\nEtobicoke\, Ontario\, Canada\, M9W 5L7 \nRegister: https://events.vtools.ieee.org/m/312266
URL:https://www.ieeetoronto.ca/event/humber-computer-hardware-software-thursday-evening/
LOCATION:Room: J232 Pending Approval\, Bldg: J\, 205 Humber College Blvd\, Etobicoke\, Ontario\, Canada\, M9W 5L7\, Virtual: https://events.vtools.ieee.org/m/312266
ORGANIZER;CN="Humber College Inst of Tech & Advanced Learning":MAILTO:mdc_on_ca@hotmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220504T193000
DTEND;TZID=America/New_York:20220504T213000
DTSTAMP:20260417T152902
CREATED:20220505T200750Z
LAST-MODIFIED:20220505T200750Z
UID:10000359-1651692600-1651699800@www.ieeetoronto.ca
SUMMARY:Amateur Radio Morse Code Study
DESCRIPTION:Wednesday night Online Morse Code Study for the Canadian Amateur Radio certification exam. 2hrs/week \nCourse continues depending on registration. Course is free. Available to anyone. \nCourse will probably last until December 2022. Breaks for Humber Midterm exams\, final exams and reading weeks \nRegister: https://events.vtools.ieee.org/m/313669
URL:https://www.ieeetoronto.ca/event/amateur-radio-morse-code-study/
LOCATION:Etobicoke\, Ontario\, Canada\, M9V4A9\, Virtual: https://events.vtools.ieee.org/m/313669
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220504T160000
DTEND;TZID=America/New_York:20220504T173000
DTSTAMP:20260417T152902
CREATED:20220502T172244Z
LAST-MODIFIED:20220505T073259Z
UID:10000352-1651680000-1651685400@www.ieeetoronto.ca
SUMMARY:Conceiving Noise: Transformation from Disturbing Sounds to Informational Errors\, 1900-1955
DESCRIPTION:The Communications Group at the University of Toronto\, in collaboration with the IEEE Communications Society\, Toronto Chapter are happy to host the seminar titled “Conceiving Noise: Transformation from Disturbing Sounds to Informational Errors\, 1900-1955” given by Prof. Chen-Pang Yeang\, from the Institute for the History and Philosophy of Science and Technology\, University of Toronto. \nIn this talk\, Prof. Yeang examine the historical origin of the attempts to understand\, control\, and use noise at modern times.  Today\, the concept of noise is employed to characterize random fluctuations in general.  Before the twentieth century\, however\, noise only meant disturbing sounds.  In the 1900s-50s\, noise underwent a conceptual transformation from unwanted sounds that needed to be domesticated into a synonym for errors and deviations on all kinds of signals and information. Prof. Yeang argue that this transformation proceeded in four stages.  The rise of sound reproduction technologies—phonograph\, telephone\, and radio—in the 1900s-20s prompted engineers to tackle unwanted sounds as physical effects of media through quantitative representations and measurements.  Around the same time\, physicists developed a theory of Brownian motions for random fluctuations and applied it to electronic noise in thermionic tubes of telecommunication systems.  These technological and scientific backgrounds led to three distinct theoretical treatments of noise in the 1920s-30s: statistical physicists’ studies of Brownian fluctuations’ temporal evolution\, radio engineers’ spectral analysis of atmospheric disturbances\, and mathematicians’ measure-theoretic formulation.  Finally\, during and after World War II\, researchers working on the military projects of radar\, gunfire control\, and secret communications converted the interwar theoretical studies of noise into tools for statistical detection\, estimation\, prediction\, and information transmission.  In so doing\, they turned noise into an informational concept.  Since the grappling of noise involved multiple disciplines\, its history sheds light on the interactions between physics\, mathematics\, mechanical technology\, electrical engineering\, and information and data sciences in the twentieth century. \nSpeaker(s): Prof. Chen-Pang Yeang \nRegister: https://events.vtools.ieee.org/m/313075 \nBiography: Prof. Chen-Pang Yeang is an associate professor at the Institute for the History and Philosophy of Science and Technology\, University of Toronto.  Trained both in electrical engineering and the history of science and technology\, he does research and teaching in the history of physics\, electrical engineering\, information and computer science and technology in the 20th and 21st centuries.  He published Probing the Sky with Radio Waves: From Wireless Technology to the Development of Atmospheric Science (University of Chicago Press\, 2013).  He is completing a book on the history of noise.  In addition\, he is undertaking a research project that uses the material replication of Heinrich Hertz’s radio-wave experiment as a means of historical inquiry\, and another project on the grassroots innovation in information and computing technology in the US and China.
URL:https://www.ieeetoronto.ca/event/conceiving-noise-transformation-from-disturbing-sounds-to-informational-errors-1900-1955/
LOCATION:Virtual: https://events.vtools.ieee.org/m/313075
CATEGORIES:Communications
ORGANIZER;CN="IEEE Toronto Communications Chapter":MAILTO:Toronto_Chapter@comsoc.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220503T193000
DTEND;TZID=America/New_York:20220503T213000
DTSTAMP:20260417T152902
CREATED:20220502T171800Z
LAST-MODIFIED:20220504T073258Z
UID:10000348-1651606200-1651613400@www.ieeetoronto.ca
SUMMARY:Humber Amateur Radio certification study Tuesday online
DESCRIPTION:Tuesday night Online Study Group preparing for the Canadian Amateur Radio certification exam. 2hrs/week \nCourse based on the certification study guide from https://www.coaxpublications.ca/ord0001.php Purchase the book if you are serious about learning this. \nCourse continues depending on registration. Course is free. Available to anyone. \nCourse will probably last until December 2022. Breaks for Humber Midterm exams\, final exams and reading weeks \nEtobicoke\, Quebec\, Canada\, M9V4A9\, Virtual: https://events.vtools.ieee.org/m/312260
URL:https://www.ieeetoronto.ca/event/humber-amateur-radio-certification-study-tuesday-online/
LOCATION:Etobicoke\, Quebec\, Canada\, M9V4A9\, Virtual: https://events.vtools.ieee.org/m/312260
ORGANIZER;CN="Humber College Inst of Tech & Advanced Learning":MAILTO:mdc_on_ca@hotmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220503T180000
DTEND;TZID=America/New_York:20220503T190000
DTSTAMP:20260417T152902
CREATED:20220502T171646Z
LAST-MODIFIED:20220504T073258Z
UID:10000346-1651600800-1651604400@www.ieeetoronto.ca
SUMMARY:DDoS Detection System – Students Research in ML and DL at Durham College
DESCRIPTION:The research goal is to implement different machine learning algorithms to detect any DDoS (Distributed Denial of Service) attacks using the UNSW-NB15 dataset. We started by going through the data description and finding null values in our features. After that we dropped the ‘id’ column. \nWe have used the UNSW-15 dataset for AI-based DDOS detection systems. \nThe UNSW-15 dataset has a hybrid of the real modern normal and the contemporary synthesized attack activities of the network traffic. It contains different attacks\, including DoS\, worms\, Backdoors etc. The raw network packets of the UNSW-NB 15 datasets are created by the IXIA Perfect Storm tool in the Cyber Range Lab of the Australian Centre for Cyber Security (ACCS) for generating a hybrid of real modern normal activities and synthetic contemporary attack behaviours. We incorporated different feature selection methods for dropping insignificant features followed by the implementation of 6 classification algorithms\, namely Naive Bayes\, Random Forest\, Decision Tree\, KNN\, Logistic Regression and SVM. \nSpeaker(s): Minu Ahlawat\, Dwij Dua\, Megha Garg\, Taxil Savani \nRegister: https://events.vtools.ieee.org/m/312339
URL:https://www.ieeetoronto.ca/event/ddos-detection-system-students-research-in-ml-and-dl-at-durham-college/
LOCATION:toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/312339
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220503T110000
DTEND;TZID=America/New_York:20220503T120000
DTSTAMP:20260417T152902
CREATED:20220502T172040Z
LAST-MODIFIED:20220504T073258Z
UID:10000350-1651575600-1651579200@www.ieeetoronto.ca
SUMMARY:Higher Order Globally Constraint-Preserving FVTD and DGTD Schemes for Time-Dependent Computational Electrodynamics (Prof. Dinshaw Balsara\, U. of Notre-Dame)
DESCRIPTION:Adaptive mesh refinement (AMR) is the art of solving PDEs on a mesh hierarchy with increasing mesh refinement at each level of the hierarchy. Accurate treatment on AMR hierarchies requires accurate prolongation of the solution from a coarse mesh to a newly-defined finer mesh. For scalar variables\, suitably high order finite volume WENO methods can carry out such a prolongation. However\, classes of PDEs\, like computational electrodynamics (CED) and magnetohydrodynamics (MHD)\, require that vector fields preserve a divergence constraint. The primal variables in such schemes consist of normal components of the vector field that are collocated at the faces of the mesh. As a result\, the reconstruction and prolongation strategies for divergence constraint-preserving vector fields are necessarily more intricate. \nIn this seminar\, we present a fourth order divergence constraint-preserving prolongation strategy that is analytically exact. Extension to higher orders using analytically exact methods is very challenging. To overcome that challenge\, a novel WENO-like reconstruction strategy is invented that matches the moments of the vector field in the faces where the vector field components are collocated. This approach is almost divergence constraint-preserving; so we call it WENO-ADP. To make it exactly divergence constraint-preserving\, a touch-up procedure is developed that is based on a constrained least squares (CLSQ) based method for restoring the divergence constraint up to machine accuracy. With the touch-up\, it is called WENO-ADPT. It is shown that refinement ratios of two and higher can be accommodated. An item of broader interest in this work is that we have also been able to invent very efficient finite volume WENO methods where the coefficients are very easily obtained and the multidimensional smoothness indicators can be expressed as perfect squares. We demonstrate that the divergence constraint-preserving strategy works at several high orders for divergence-free vector fields as well as vector fields where the divergence of the vector field has to match a charge density and its higher moments. We also show that our methods overcome the late time instability that has been known to plague adaptive computations in Computational Electrodynamics. \nCo-sponsored by: Center for Computational Science and Engineering (CCSE)\, University of Toronto \nSpeaker(s): Prof. Dinshaw Balsara\, \nRegister: https://events.vtools.ieee.org/m/312555 \nBiography: Dinshaw S. Balsara received the Ph.D. degree in computational physics and astrophysics from the University of Illinois at Urbana-Champaign\, Champaign\, IL\, USA\, in 1990. He is currently a Professor with the Department of Physics and the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame. He has developed computational algorithms and applications in the areas of interstellar medium\, turbulence\, star formation\, planet formation\, the physics of accretion disks\, compact objects\, and relativistic astrophysics. Many of the algorithms developed by him for higher order methods have seen extensive use and have been copiously cited.\,Dr. Balsara was the recipient of the 2014 Department of Energy Award of Excellence for significant contributions to the Stockpile Stewardship Program and the 2017 Global Initiative on Academic Networks Award from the Government of India. He serves the community as an Associate Editor of Journal of Computational Physics and Computational Astrophysics and Cosmology.
URL:https://www.ieeetoronto.ca/event/high-order-adaptive-mesh-refinement-amr-for-divergence-constraint-preserving-schemes-focus-on-mhd-and-ced-prof-dinshaw-balsara-university-of-notre-dame/
LOCATION:Virtual: https://events.vtools.ieee.org/m/312555
CATEGORIES:Electromagnetics & Radiation
ORGANIZER;CN="Costas Sarris":MAILTO:costas.sarris@utoronto.ca
END:VEVENT
END:VCALENDAR