• Dimension Reduction & Maximum Likelihood: How to compress your data while retaining the key features

    Virtual: https://events.vtools.ieee.org/m/289240

    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. Longer Abstract: A randomly chosen bit string cannot be compressed at all. But if there is a pattern to it, eg it represents an image, then maybe it can be compressed. Each pixel of an image is specified by one (or three) real numbers. If an image has thousands/millions of pixels, then each of these acts as a coordinate of the point where the image sits in a very high dimensional space. A set of such images then corresponds to a set of these points. We can understand the pattern of points/images as follows. Maximum Likelihood assumes that the given set of points/images were randomly chosen according a multi-dimensional normal distribution and then adjusts the parameters of this normal distribution in the way that maximizes the probability of getting the images that we have. The obtained parameters effectively fits an ellipse around the points/images in this high dimensional space. We then reduce the number of dimensions in our space by collapsing this ellipse along its least significant axises. Projecting each point/image to this lower dimensional space compresses the amount of information needed to represent each image. Virtual: https://events.vtools.ieee.org/m/289240

  • Six Sigma Quality

    Virtual: https://events.vtools.ieee.org/m/288981

    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

  • “Advances in Microwave Planar Sensors Using Active Circuitry” by Mohammad Abdolrazzaghi

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/291426

    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. Abstract: 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. Speaker: 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). Virtual: https://events.vtools.ieee.org/m/291426

  • Introduction to Web Development with HTML and CSS

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/292234

    Ieee Programming HTML and CSS workshops from Saturday 27 November to 18 December Co-sponsored by: Professor Arman Hamzehlou Kahrizi Agenda: 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. Virtual: https://events.vtools.ieee.org/m/292234

  • IEEE CIC x GMU Indie Game Jam: Finishing up & QnA

    Virtual: https://events.vtools.ieee.org/m/287758

    This series of 5 beginner friendly workshops will teach students how to create their own indie game in Unity. We will teach the building blocks and best practices to create a shooter including creating the player, creating enemies, collectibles, effects, and more! All 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. Quick review of last week’s progress (10 minutes) Introduction to the Package Manager & Post Processing package (10 minutes) ● Apply post processing effects to camera (20 minutes) Implement camera shaking (20 minutes) Break (10 minutes) Building our project (10 minutes) QnA (40 minutes) Virtual: https://events.vtools.ieee.org/m/287758

  • Generative Adversarial Networks: Used for understanding and producing a random data item

    Virtual: https://events.vtools.ieee.org/m/289241

    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. Longer 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. Virtual: https://events.vtools.ieee.org/m/289241

  • Machine Learning Applications in Cybersecurity Domain.

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/294505

    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. Speaker(s): Dr. Mizanur Rahman Virtual: https://events.vtools.ieee.org/m/294505

  • Introduction to Web Development with HTML and CSS Part 3

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/293260

    Ieee Programming HTML and CSS workshops from Saturday 27 November to 18 December Co-sponsored by: Professor Arman Hamzehlou Kahrizi Agenda: 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. Virtual: https://events.vtools.ieee.org/m/293260

  • IEEE Toronto Member Appreciation at The Toronto Zoo

    The Toronto Zoo, 2000 Meadowvale Rd, Toronto, Ontario, Canada, M1B 5K7, Virtual: https://events.vtools.ieee.org/m/286646

    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! Included in the $10 per person registration fee: One general admission ticket to the Toronto Zoo IEEE-Toronto branded swag Lunch at the Special Events Centre (inside the Zoo) At least one IEEE member number must be provided for each registration. Each IEEE member may bring up to 3 additional friend or family members. Please note that all participants in the event must adhere to the Toronto Zoo mask and vaccination policies.

  • Introduction to CPI’s Satcom & Medical Products

    Toronto, Ontario, Canada

    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. The 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. Speaker(s): Mahdi Khanali Agenda: Registration is mandatory. Register: https://events.vtools.ieee.org/m/291432

  • The Bitcoin Blockchain

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/299554

    Join us to learn about the basics of the Bitcoin blockchain, how mining works, and what hashes are. The Bitcoin blockchain was the first cryptocurrency, but not the first use of blockchain; blockchain was invented much earlier than the Bitcoin creation. Both Bitcoin and blockchain topics will be covered over the course of this session. At the end of the workshop we will have a Q&A section to answer any questions. Speaker(s): Adi Malihi Click here to register.