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X-WR-CALNAME:IEEE Toronto Section
X-ORIGINAL-URL:https://www.ieeetoronto.ca
X-WR-CALDESC:Events for IEEE Toronto Section
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BEGIN:VEVENT
DTSTART;TZID=UTC:20211202T180000
DTEND;TZID=UTC:20211202T200000
DTSTAMP:20260428T095047
CREATED:20211107T122059Z
LAST-MODIFIED:20220101T093308Z
UID:10000484-1638468000-1638475200@www.ieeetoronto.ca
SUMMARY:Six Sigma Quality
DESCRIPTION:Six Sigma is a management philosophy and set of methods introduced by Motorola and General Electric to eliminate defects in their products and processes. Six Sigma views variation as the enemy and provides with a goal of having less than 3.4 defects per million opportunities. This methodology prescribes project-oriented improvement phases known as Define\, Measure\, Analyze\, Improve and Control (DMAIC). The most important focus of the Six Sigma methodology is that it propagates companies to become customer centric and deliver customers the products and services in the exact specification\, highest quality\, exact delivery time and quantity  Speaker(s): Omar Malik \,   Agenda:  – Introduction  – Bio of the presenter  – Presentation of the Webinar  – Q & A  Virtual: https://events.vtools.ieee.org/m/288981
URL:https://www.ieeetoronto.ca/event/six-sigma-quality/
LOCATION:Virtual: https://events.vtools.ieee.org/m/288981
CATEGORIES:Industrial Electronics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211203T160000
DTEND;TZID=UTC:20211203T170000
DTSTAMP:20260428T095047
CREATED:20211125T133527Z
LAST-MODIFIED:20220105T233709Z
UID:10000492-1638547200-1638550800@www.ieeetoronto.ca
SUMMARY:"Advances in Microwave Planar Sensors Using Active Circuitry" by Mohammad Abdolrazzaghi
DESCRIPTION:Please join us for an upcoming talk on Dec 03\, 4-5 pm (Eastern Time) by Mohammad Abdolrazzaghi titled “Advances in Microwave Planar Sensors Using Active Circuitry”\, as part of the 2020-2021 IEEE AP-S seminar series. \nAbstract: Nowadays\, electromagnetism (EM) is being extensively investigated as a leading technology on noninvasive sensing. EM sensors make use of metallic elements\, including split-ring resonators (SRRs) and complementary SRRs\, to both radiate or receive EM waves. Using EM sensors to monitor changes in a medium\, e.g. human body\, is based on interrogation of a medium with EM waves that reveals valuable information about its properties. EM-based technologies enable compact\, low-profile\, yet highly sensitive sensors for cutting-edge sensors. In this talk\, a variety of microwave planar sensors will be presented that exhibit high sensitivity for material characterization\, focusing on high-performance sensors aided with active circuitry. Emerging technologies such as machine learning will be introduced that enhances the sensor robustness. Last\, the potential capabilities of the microwave sensors in microwave and mm-wave frequencies will be discussed to conclude the talk. \nSpeaker: Mohammad Abdolrazzaghi received the B.Sc. degree from the Iran University of Science and Technology\, Tehran\, Iran\, in 2009\, and M.Sc. degree from the University of Alberta\, Edmonton\, AB\, Canada\, in 2017\, all in electrical and computer engineering. He then became involved as a research assistant of Microwave and Millimeter Wave Lab (M2M) at the University of Alberta and Electromagnetics Lead at the Phase Advanced Sensors Corp. in Edmonton\, AB. He joined University of Toronto community in 2020 as a PhD student in Electrical and Computer Engineering Department. His research interest includes: Analog Circuit Design\, RF Circuits and Microwave Active Sensors\, Machine learning\, Wireless Power Transfer\, and Phased Arrays. He was awarded Alberta Innovates Technology Futures (AITF) Scholarship from University of Alberta (2015)\, got the first place in for CMC Microsystems’s National Research Council Industrial Collaboration Award in 2015\, and Ontario Graduate Scholarship (2021). \nVirtual: https://events.vtools.ieee.org/m/291426
URL:https://www.ieeetoronto.ca/event/advances-in-microwave-planar-sensors-using-active-circuitry-by-mohammad-abdolrazzaghi/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/291426
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211204T170000
DTEND;TZID=UTC:20211204T190000
DTSTAMP:20260428T095047
CREATED:20211130T140258Z
LAST-MODIFIED:20220105T233218Z
UID:10000494-1638637200-1638644400@www.ieeetoronto.ca
SUMMARY:Introduction to Web Development with HTML and CSS
DESCRIPTION:Ieee Programming HTML and CSS workshops from Saturday 27 November to 18 December \nCo-sponsored by: Professor Arman Hamzehlou Kahrizi \nAgenda: It is a hands-on workshop aiming to introduce the basics of web design using HTML5 and CSS. In this series of workshops\, we will step-by-step\, create and publish a simple and responsive website to a web-hosting service and finally optimize our website for search engines (SEO) so the website is better picked up by the search engine during a search query. \nVirtual: https://events.vtools.ieee.org/m/292234
URL:https://www.ieeetoronto.ca/event/introduction-to-web-development-with-html-and-css-2/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/292234
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211204T180000
DTEND;TZID=UTC:20211204T200000
DTSTAMP:20260428T095047
CREATED:20211030T112020Z
LAST-MODIFIED:20220105T233546Z
UID:10000482-1638640800-1638648000@www.ieeetoronto.ca
SUMMARY:IEEE CIC x GMU Indie Game Jam: Finishing up & QnA
DESCRIPTION:This series of 5 beginner friendly workshops will teach students how to create their own indie game in Unity. \nWe will teach the building blocks and best practices to create a shooter including creating the player\, creating enemies\, collectibles\, effects\, and more! \nAll who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a showcase with small prizes at the end of the workshop series. \n\nQuick review of last week’s progress (10 minutes)\nIntroduction to the Package Manager & Post Processing package (10 minutes) ● Apply post processing effects to camera (20 minutes)\nImplement camera shaking (20 minutes)\nBreak (10 minutes)\nBuilding our project (10 minutes)\nQnA (40 minutes)\n\nVirtual: https://events.vtools.ieee.org/m/287758
URL:https://www.ieeetoronto.ca/event/ieee-cic-x-gmu-indie-game-jam-finishing-up-qna/
LOCATION:Virtual: https://events.vtools.ieee.org/m/287758
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211207T170000
DTEND;TZID=UTC:20211207T183000
DTSTAMP:20260428T095047
CREATED:20211109T123536Z
LAST-MODIFIED:20220105T233027Z
UID:10000488-1638896400-1638901800@www.ieeetoronto.ca
SUMMARY:Generative Adversarial Networks: Used for understanding and producing a random data item
DESCRIPTION:Prerequisites: You do not need to have attended the earlier talks. If you know zero math and zero machine learning\, then this talk is for you. Jeff will do his best to explain fairly hard mathematics to you. If you know a bunch of math and/or a bunch machine learning\, then these talks are for you. Jeff tries to spin the ideas in new ways. \nLonger Abstract: Suppose you have a distributions of random images of cats. Suppose you want to learn a neural network that takes uniformly random bits as input and outputs an image of a cat according to this same distribution. One fun thing is that this neural network won’t be perfect and hence it will output images of “cats” that it has never seen before. Also you can make small changes in the network input bits and see how it changes the resulting image of a cat. The way we do this is with Generative Adversarial Networks. This is formed by having two competing agents. The task of the first agent\, as described above\, is to output random images of cats. The task of the second is to discern whether a given image was produced by the true random distribution or by the first agent. By competing\, they learn. If we have more time in the talk then we will talk about Convolutional & Recurrent Networks which are used for learning images and sound that are invariant over location and time. \nVirtual: https://events.vtools.ieee.org/m/289241
URL:https://www.ieeetoronto.ca/event/generative-adversarial-networks-used-for-understanding-and-producing-a-random-data-item/
LOCATION:Virtual: https://events.vtools.ieee.org/m/289241
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211211T100000
DTEND;TZID=UTC:20211211T110000
DTSTAMP:20260428T095047
CREATED:20211211T074913Z
LAST-MODIFIED:20220105T232933Z
UID:10000496-1639216800-1639220400@www.ieeetoronto.ca
SUMMARY:Machine Learning Applications in Cybersecurity Domain.
DESCRIPTION:Internet is the baseline for cyberspace\, where technology infrastructure can be autonomous. It is a virtual space that can be accessed via different interconnected network devices. Cyber-security can be described as a set of measures that makes cyberspace safe. Identifying threats and predicting vulnerabilities in this environment are the key components of the security mechanism. The main cause of security violations is the intrusion of an attacker into the network or electronic devices. Machine learning can be used to increase the accuracy level of detection of threats to improve system efficiency and performance. In this talk\, we present how machine learning can help detect and mitigate cyber threats in the systems. \nSpeaker(s): Dr. Mizanur Rahman \nVirtual: https://events.vtools.ieee.org/m/294505
URL:https://www.ieeetoronto.ca/event/machine-learning-applications-in-cybersecurity-domain/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/294505
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211211T170000
DTEND;TZID=UTC:20211211T190000
DTSTAMP:20260428T095047
CREATED:20211205T071803Z
LAST-MODIFIED:20220105T232859Z
UID:10000495-1639242000-1639249200@www.ieeetoronto.ca
SUMMARY:Introduction to Web Development with HTML and CSS Part 3
DESCRIPTION:Ieee Programming HTML and CSS workshops from Saturday 27 November to 18 December \nCo-sponsored by: Professor Arman Hamzehlou Kahrizi \nAgenda: It is a hands-on workshop aiming to introduce the basics of web design using HTML5 and CSS. In this series of workshops\, we will step-by-step\, create and publish a simple and responsive website to a web-hosting service and finally optimize our website for search engines (SEO) so the website is better picked up by the search engine during a search query. \nVirtual: https://events.vtools.ieee.org/m/293260
URL:https://www.ieeetoronto.ca/event/introduction-to-web-development-with-html-and-css-part-3/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/293260
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211212T093000
DTEND;TZID=UTC:20211212T160000
DTSTAMP:20260428T095047
CREATED:20211022T100329Z
LAST-MODIFIED:20220105T232818Z
UID:10000316-1639301400-1639324800@www.ieeetoronto.ca
SUMMARY:IEEE Toronto Member Appreciation at The Toronto Zoo
DESCRIPTION:The IEEE Toronto would like to thank all of our members for sticking with us through the pandemic. As our way of saying thank you\, we would like to invite you and your family (or friends) to join us for lunch and wild times at the Toronto Zoo! \nIncluded in the $10 per person registration fee: \n\nOne general admission ticket to the Toronto Zoo\nIEEE-Toronto branded swag\nLunch at the Special Events Centre (inside the Zoo)\n\nAt least one IEEE member number must be provided for each registration. Each IEEE member may bring up to 3 additional friend or family members. \nPlease note that all participants in the event must adhere to the Toronto Zoo mask and vaccination policies.
URL:https://www.ieeetoronto.ca/event/ieee-toronto-member-appreciation-at-the-toronto-zoo/
LOCATION:The Toronto Zoo\, 2000 Meadowvale Rd\, Toronto\, Ontario\, Canada\, M1B 5K7\, Virtual: https://events.vtools.ieee.org/m/286646
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211214T170000
DTEND;TZID=UTC:20211214T183000
DTSTAMP:20260428T095047
CREATED:20211109T123536Z
LAST-MODIFIED:20220105T094814Z
UID:10000489-1639501200-1639506600@www.ieeetoronto.ca
SUMMARY:Ethics: How might the machine learning make the world a better place? How might it make the world worse?
DESCRIPTION:How might the machine learning make the world a better place?\nHow might it make the world worse?\nI have some thoughts. Likely you do too.\nVirtual: https://events.vtools.ieee.org/m/289243
URL:https://www.ieeetoronto.ca/event/ethics-how-might-the-machine-learning-make-the-world-a-better-place-how-might-it-make-the-world-worse/
LOCATION:Virtual: https://events.vtools.ieee.org/m/289243
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211216T120000
DTEND;TZID=UTC:20211216T130000
DTSTAMP:20260428T095047
CREATED:20211125T133529Z
LAST-MODIFIED:20220105T232652Z
UID:10000493-1639656000-1639659600@www.ieeetoronto.ca
SUMMARY:Introduction to CPI’s Satcom & Medical Products
DESCRIPTION:Founded in 1948\, CPI is a global manufacturer of electronic components and subsystems focused primarily on communications and defense markets. The company develops\, manufactures\, and globally distributes innovative and reliable technology solutions used in the generation\, amplification\, transmission\, and reception of microwave signals for commercial and military applications. CPI serves customers in the communications\, defense\, medical\, industrial\, and scientific markets. \nThe Satcom & Medical Products Division of CPI is located in Georgetown\, Ontario. This presentation introduces some of the CPI products\, basic technical background\, and the application of High Voltage for such medical and Satcom products. \nSpeaker(s): Mahdi Khanali \nAgenda: Registration is mandatory. \nRegister: https://events.vtools.ieee.org/m/291432
URL:https://www.ieeetoronto.ca/event/introduction-to-cpis-satcom-medical-products/
LOCATION:Toronto\, Ontario\, Canada
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