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BEGIN:VEVENT
DTSTART;TZID=UTC:20211118T180000
DTEND;TZID=UTC:20211118T200000
DTSTAMP:20260525T020553
CREATED:20211030T112020Z
LAST-MODIFIED:20211218T081851Z
UID:10000479-1637258400-1637265600@www.ieeetoronto.ca
SUMMARY:IEEE CIC x GMU Indie Game Jam: Enemy & Enemy AI
DESCRIPTION: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) –  Add enemy object & its components (10 minutes):  ○ Rigidbody 2D (kinematic)  ○ Box Collider 2D  ○ Sprite Renderer  –  Add enemy script & implement enemy random generation (20 minutes) ● Implement enemy movement & shooting behaviour (20 minutes) –  Break (10 minutes) –  Implement bullet damaging player & enemy (20 minutes) –  Add game controller script & implement enemy spawning (20 minutes) ● Add basic player resources (health\, ammo) & player score (10 minutes)  Virtual: https://events.vtools.ieee.org/m/287749
URL:https://www.ieeetoronto.ca/event/ieee-cic-x-gmu-indie-game-jam-enemy-enemy-ai/
LOCATION:Virtual: https://events.vtools.ieee.org/m/287749
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211116T170000
DTEND;TZID=UTC:20211116T183000
DTSTAMP:20260525T020553
CREATED:20211030T112019Z
LAST-MODIFIED:20211216T081306Z
UID:10000478-1637082000-1637087400@www.ieeetoronto.ca
SUMMARY:Generalizing from Training Data
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. Longer Abstract: There is some theory. If a machine is found that gives the correct answers on the randomly chosen training data without simply memorizing\, then we can prove that with high probability this same machine will also work well on never seen before instances drawn from the same distribution. The easy proof requires D>m\, where m is the number of bits needed to describe your learned machine and D is the number of train data items. A much harder proof (which we likely won’t cover) requires only D>VC\, where VC is VC-dimension (Vapnik–Chervonenkis) of your machine. The second requirement is easier to meet because VC<m.  Speaker(s): Prof. Jeff Edmonds\,   Virtual: https://events.vtools.ieee.org/m/287720
URL:https://www.ieeetoronto.ca/event/generalizing-from-training-data/
LOCATION:Virtual: https://events.vtools.ieee.org/m/287720
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211111T180000
DTEND;TZID=UTC:20211111T200000
DTSTAMP:20260525T020553
CREATED:20211030T112019Z
LAST-MODIFIED:20211211T074915Z
UID:10000321-1636653600-1636660800@www.ieeetoronto.ca
SUMMARY:IEEE CIC x GMU Indie Game Jam: Player & Bullet
DESCRIPTION: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) –  Add player game object & its components (10 minutes):  ○ Rigidbody 2D  ○ Box Collider 2D  ○ Sprite Renderer  ○ Shadow  –  Add player script & implement basic movement\, shadow positioning (10 minutes) ● Implement player mouse rotation (10 minutes) –  Introduction to the particle effects system & implement player trailing effect (20 minutes) ● Break (10 minutes) –  Prevent player from going off screen (10 minutes) –  Add bullet object & its components (10 minutes):  ○ Rigidbody 2D  ○ Box Collider 2D  ○ Sprite Renderer  –  Add bullet script & implement bullet flying movement (10 minutes) ● Implement bullet shooting (20 minutes)  Virtual: https://events.vtools.ieee.org/m/287748
URL:https://www.ieeetoronto.ca/event/ieee-cic-x-gmu-indie-game-jam-player-bullet/
LOCATION:Virtual: https://events.vtools.ieee.org/m/287748
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211111T180000
DTEND;TZID=UTC:20211111T190000
DTSTAMP:20260525T020553
CREATED:20210916T124947Z
LAST-MODIFIED:20211211T074915Z
UID:10000459-1636653600-1636657200@www.ieeetoronto.ca
SUMMARY:Writing Attention-Grabbing Resumes & Cover Letters
DESCRIPTION:Unclear about how to tailor a resume to industry jobs? Want to learn how to describe your accomplishments in an impactful manner? In this webinar\, you will learn how to gain the attention of hiring managers with well-written resumes and cover letters!  Virtual: https://events.vtools.ieee.org/m/281921
URL:https://www.ieeetoronto.ca/event/writing-attention-grabbing-resumes-cover-letters/
LOCATION:Virtual: https://events.vtools.ieee.org/m/281921
CATEGORIES:Aerospace & Electronic Systems,Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211109T170000
DTEND;TZID=UTC:20211109T183000
DTSTAMP:20260525T020553
CREATED:20211028T105020Z
LAST-MODIFIED:20211209T073407Z
UID:10000319-1636477200-1636482600@www.ieeetoronto.ca
SUMMARY:Algebra Review: How does one best think about all of these numbers
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.  — Longer Abstract —  An input data item\, eg a image of a cat\, is just a large tuple of real values. As such it can be thought as a point in some high dimensional vector space. Whether the image is of a cat or a dog partitions this vector space into regions. Classifying your image amounts to knowing which region the corresponding point is in. The dot product of two vectors tell us: whether our data scaled by coefficients meets a threshold; how much two lists of properties correlate; the cosine of the angle between to directions; and which side of a hyperplane your points is on. A novice reading a machine learning paper might not get that many of the symbols are not real numbers but are matrices. Hence the product of two such symbols is matrix multiplication. Computing the output of your current neural network on each of your training data items amounts to an alternation of such a matrix multiplications and of some non-linear rounding of your numbers to be closer to being 0-1 valued. Similarly\, back propagation computes the direction of steepest decent using a similar alternation\, except backwards. The matrix way of thinking about a neural network also helps us understand how a neural network effectively performs a sequence linear and non-linear transformations changing the representation of our input until the representation is one for which the answer can be determined based which side of a hyperplane your point is on. Though people say that it is “obvious”\, it was never clear to me which direction to head to get the steepest decent. Slides Covered: http://www.eecs.yorku.ca/~jeff/courses/machine-learning  /Machine_Learning_Made_Easy.pptx  – Linear Regression\, Linear Separator  – Neural Networks  – Abstract Representations  – Matrix Multiplication  – Example  – Vectors  – Back Propagation  – Sigmoid  Speaker(s): Prof. Jeff Edmonds\,   Virtual: https://events.vtools.ieee.org/m/287446
URL:https://www.ieeetoronto.ca/event/algebra-review-how-does-one-best-think-about-all-of-these-numbers/
LOCATION:Virtual: https://events.vtools.ieee.org/m/287446
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211104T180000
DTEND;TZID=UTC:20211104T200000
DTSTAMP:20260525T020553
CREATED:20211030T112018Z
LAST-MODIFIED:20211204T070601Z
UID:10000320-1636048800-1636056000@www.ieeetoronto.ca
SUMMARY:IEEE CIC x Ryerson GMU Indie Game Jam: The Basics & Tile System
DESCRIPTION: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.  Week One: (2 Hours) – The Basics & Tile System  –  Introduction to Game Development & Unity (30 Minutes) ● Review of programming (30 minutes)  ○ Variables  ○ If statements  ○ Loops  ○ Classes and methods  ○ Unity’s approach to programming  –  Break (10 minutes) –  Quick demo of final game project (10 minutes) ● Download & import assets (10 minutes) –  Introduction to the tile palette system (10 minutes) ● Draw game background using tile palette system (20 minutes)  Virtual: https://events.vtools.ieee.org/m/287738
URL:https://www.ieeetoronto.ca/event/ieee-cic-x-ryerson-gmu-indie-game-jam-the-basics-tile-system/
LOCATION:Virtual: https://events.vtools.ieee.org/m/287738
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211102T170000
DTEND;TZID=UTC:20211102T183000
DTSTAMP:20260525T020553
CREATED:20211027T103902Z
LAST-MODIFIED:20211202T020122Z
UID:10000318-1635872400-1635877800@www.ieeetoronto.ca
SUMMARY:Intro to the Mathematics in Machine Learning
DESCRIPTION:Prerequisites: 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. Abstract: Computers can now drive cars and find cancer in x-rays. For better or worse\, this will change the world (and the job market). Strangely designing these algorithms is not done by telling the computer what to do or even by understanding what the computer does. The computers learn themselves from lots and lots of data and lots of trial and error. This learning process is more analogous to how brains evolved over billions of years of learning. The machine itself is a neural network which models both the brain and silicon and-or-not circuits\, both of which are great for computing. The only difference with neural networks is that what they compute is determined by weights and small changes in these weights give you small changes in the result of the computation. The process for finding an optimal setting of these weights is analogous to finding the bottom of a valley. “Gradient Decent” achieves this by using the local slope of the hill (derivatives) to direct the travel down the hill\, i.e. small changes to the weights.  Speaker(s): Prof. Jeff Edmonds\,   Virtual: https://events.vtools.ieee.org/m/287252
URL:https://www.ieeetoronto.ca/event/intro-to-the-mathematics-in-machine-learning/
LOCATION:Virtual: https://events.vtools.ieee.org/m/287252
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211029T180000
DTEND;TZID=UTC:20211029T200000
DTSTAMP:20260525T020553
CREATED:20211001T152640Z
LAST-MODIFIED:20211128T135459Z
UID:10000471-1635530400-1635537600@www.ieeetoronto.ca
SUMMARY:Building your online presence by creating your personal website
DESCRIPTION:A personal website is essential in this world where an online presence is a must. Through this workshop\, Simon will show you how to buy your domain\, the cheapest and more efficient way to host it\, how to get SSL certificates for your website and the best practices to design and implement your website.  Speaker(s): Simon Bermudez\,   Virtual: https://events.vtools.ieee.org/m/284161
URL:https://www.ieeetoronto.ca/event/building-your-online-presence-by-creating-your-personal-website/
LOCATION:Virtual: https://events.vtools.ieee.org/m/284161
CATEGORIES:Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211028T190000
DTEND;TZID=UTC:20211028T200000
DTSTAMP:20260525T020553
CREATED:20211015T180658Z
LAST-MODIFIED:20211127T135033Z
UID:10000476-1635447600-1635451200@www.ieeetoronto.ca
SUMMARY:IEEE Canada WIE Panel: Awards Applications and Membership Advancements
DESCRIPTION:Learn from WIE professionals from across Canada about how to create a successful award application and how to move upward in your membership with IEEE\nVirtual: https://events.vtools.ieee.org/m/285102
URL:https://www.ieeetoronto.ca/event/ieee-canada-wie-panel-awards-applications-and-membership-advancements/
LOCATION:Virtual: https://events.vtools.ieee.org/m/285102
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211007T180000
DTEND;TZID=UTC:20211007T190000
DTSTAMP:20260525T020553
CREATED:20210916T124947Z
LAST-MODIFIED:20211106T121814Z
UID:10000456-1633629600-1633633200@www.ieeetoronto.ca
SUMMARY:Building and Leveraging Your Professional Network Using LinkedIn
DESCRIPTION:Not sure how to market yourself effectively online using LinkedIn? Unclear about how to establish and maintain professional contacts? In this webinar\, you will learn how to raise your profile and leverage the power of your personal network to advance your career goals.  Register at: https://bit.ly/IEEESession2  Virtual: https://events.vtools.ieee.org/m/281919
URL:https://www.ieeetoronto.ca/event/building-and-leveraging-your-professional-network-using-linkedin/
LOCATION:Virtual: https://events.vtools.ieee.org/m/281919
CATEGORIES:Aerospace & Electronic Systems,Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211001T140000
DTEND;TZID=UTC:20211001T153000
DTSTAMP:20260525T020553
CREATED:20210714T235912Z
LAST-MODIFIED:20211031T112242Z
UID:10000448-1633096800-1633102200@www.ieeetoronto.ca
SUMMARY:Applications of Probability in Python
DESCRIPTION:This workshop will cover an example project on Bayes Classifier\, multiple random variables\, and estimation. We will learn the implementation of multivariate Gaussian distribution\, classification and regression problems in Python. Later we will see that how to define parametric distribution in python and will further explore estimation concepts like maximum likelihood ratio\, maximum posteriori classification\, loglikelihood and logistic regression.  Speaker(s): Taha Sajjad\,   Virtual: https://events.vtools.ieee.org/m/277453
URL:https://www.ieeetoronto.ca/event/applications-of-probability-in-python/
LOCATION:Virtual: https://events.vtools.ieee.org/m/277453
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210927T140000
DTEND;TZID=UTC:20210927T153000
DTSTAMP:20260525T020553
CREATED:20210714T235912Z
LAST-MODIFIED:20211027T103904Z
UID:10000446-1632751200-1632756600@www.ieeetoronto.ca
SUMMARY:Fundamentals of Probability in Python
DESCRIPTION:In this workshop\, we first provide a brief review of probability theory making sure that attendees understand probability models and applications. Later in this workshop\, we will discuss basic probability models and their implementation in python\, how to deal with various aspects of conditional probability like total probability theorem\, conditional independence\, Bayes Rule\, etc. Then\, we will discuss the implementation of discrete random variables as well as continuous random variable like Bernoulli variables\, geometric variables\, uniform\, exponential and gaussian distribution. Afterwards\, fundamental law of large numbers related programming concepts will be covered along with sample mean and variance of famous probability distributions.  Speaker(s): Taha Sajjad\,   Virtual: https://events.vtools.ieee.org/m/277449
URL:https://www.ieeetoronto.ca/event/fundamentals-of-probability-in-python/
LOCATION:Virtual: https://events.vtools.ieee.org/m/277449
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210916T180000
DTEND;TZID=UTC:20210916T190000
DTSTAMP:20260525T020553
CREATED:20210910T123258Z
LAST-MODIFIED:20220105T230309Z
UID:10000452-1631815200-1631818800@www.ieeetoronto.ca
SUMMARY:Internships for Graduate and Undergraduate Students
DESCRIPTION:Not sure how to find an internship? Unclear about how internships are structured? Join a Ryerson University Career & Co-op Centre\, IEEE\, and IEEE Women in Engineering collaboration for this informative workshop to learn about internship opportunities available for undergraduate and graduate students on Sept. 16 from 6-7 pm.
URL:https://www.ieeetoronto.ca/event/internships-for-graduate-and-undergraduate-students/
LOCATION:Virtual: https://events.vtools.ieee.org/m/281467
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210827T140000
DTEND;TZID=UTC:20210827T153000
DTSTAMP:20260525T020553
CREATED:20210714T235912Z
LAST-MODIFIED:20220105T230155Z
UID:10000444-1630072800-1630078200@www.ieeetoronto.ca
SUMMARY:Basics of Programming in Python
DESCRIPTION:Workshop Description: In the workshop\, first the attendees will revisit the basic concepts of Python programming related to (1) writing and executing Python scripts to perform basic tasks\, (2) entering and executing basic Python commands in a Jupyter Notebook\, and (3) creating objects\, data types such as strings\, integers\, Booleans\, variables\, lists\, loops\, coordinate system\, if-statements\, inequalities\, etc. \nLater\, this workshop will discuss the implementation of random variables and probability models in Python. In particular\, we will introduce numpy that includes the basic understanding of arrays\, matrices\, matrices operations\, random data generation and exercises. Furthermore\, since understanding of Matplotlib is necessary to iplot functions and models in Python\, we will explore basic strategies to plot using matplotlib \nSpeaker(s): Taha Sajjad
URL:https://www.ieeetoronto.ca/event/basics-of-programming-in-python/
LOCATION:Virtual: https://events.vtools.ieee.org/m/277447
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210726T120000
DTEND;TZID=UTC:20210726T130000
DTSTAMP:20260525T020553
CREATED:20210708T233315Z
LAST-MODIFIED:20220105T225837Z
UID:10000442-1627300800-1627304400@www.ieeetoronto.ca
SUMMARY:Sustainable Service Pricing in Cloud Ecosystems
DESCRIPTION:Energy efficiency\, which has emerged as a top priority in cloud ecosystems\, is the outcome of appropriate pricing mechanisms and resource allocations. Static pricing mechanisms are the most dominant approach among all the others. They are simple to implement for the service providers and easy to understand for the service users. Inaccurate price calculation and low efficient resource allocation in static pricing mechanisms made researchers discover other solutions to overcome these issues. Double auction mechanisms are among the most appropriate dynamic models. The main challenge of conventional double auction mechanisms is not considering the cloud ecosystems’ specifications\, such as dynamic online features. The term dynamic refers to the many variable parameters in cloud ecosystems\, and they constantly change. Conventional static offline pricing solutions are set based on a series of parameters before running the process. In dynamic online methods\, we customize our pricing models based on dynamic and current parameters. Also\, we continuously optimize these methods to attain optimal results. In this seminar\, firstly\, we define a Dynamic Online Double Auction Mechanism (DODAM) for the IaaS environment\, which covers a broader range of IaaS parameters by considering the dynamic online features of such markets. Considering the features of cloud dynamic online ecosystems\, DODAM provides an appropriate price scheduling for service providers and service users. Cloud secondary market is a new paradigm in IaaS ecosystems. In these markets\, brokers and reseller buyers have attained their resources from service providers of the cloud primary markets in the form of timed packages and repackage them into smaller chunks. As unsold packages do not transfer to the next intervals\, brokers and reseller buyers need to sell their packages as much as possible. We develop a mechanical design that includes a market-based pricing model and a resource allocation algorithm in such markets as our second contribution. Next\, by formulating the inherent competitive features in cloud secondary markets\, we improve the pricing and resource allocation mechanisms in such competitive ecosystems. In the last contribution\, we proposed a Priority-based Dynamic Online Double Auction Model (PB-DODAM)\, considering the perishability and time constraints of traded resources in IaaS secondary markets. The provided experimental results show that all proposed mechanisms drastically increase resource utilization and the overall utility. \nSpeaker(s): Dr. Reza Dibaj \nVirtual: https://events.vtools.ieee.org/m/276942
URL:https://www.ieeetoronto.ca/event/sustainable-service-pricing-in-cloud-ecosystems/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/276942
CATEGORIES:Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210719T180000
DTEND;TZID=UTC:20210719T200000
DTSTAMP:20260525T020553
CREATED:20210622T221221Z
LAST-MODIFIED:20220105T225754Z
UID:10000436-1626717600-1626724800@www.ieeetoronto.ca
SUMMARY:Product Lifecycle Management
DESCRIPTION:Product Lifecycle Management is a process used to manage all of the business and technical aspects in the life of a product business\, from early stage concept to product retirement. It is used extensively by most Global MultiNational Corporations but it serves small startup businesses very well also. It deals with and includes participation from all of the important business organisations. As such it is very relevant to engineers involved in any aspect of product development. Marto Hoary has worked with a number of multinationals in the USA and Europe where in he has observed and learned the use of this process first hand. \nSpeaker(s): Marto J Hoary\, Sr MIEEE\, M. Eng. \nVirtual: https://events.vtools.ieee.org/m/275555
URL:https://www.ieeetoronto.ca/event/product-lifecycle-management/
LOCATION:Virtual: https://events.vtools.ieee.org/m/275555
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210719T120000
DTEND;TZID=UTC:20210719T130000
DTSTAMP:20260525T020553
CREATED:20210708T233314Z
LAST-MODIFIED:20220105T225731Z
UID:10000440-1626696000-1626699600@www.ieeetoronto.ca
SUMMARY:Distributed Machine Learning 101
DESCRIPTION:Machine Learning is an indispensable part of data science\, and there is no need to have a thorough programming background to benefit from it. Machine Learning (ML) and statistical techniques have provided a new era that enables us to convert the data into information and transform it into actionable knowledge. SciKit and TensorFlow are two states of the art libraries that can be used in Python\, and this seminar will open the gate to know their bases. The first seminar is about “Hello World!” Machine Learning program\, using the python language and SciKit learn library. \nSpeaker(s): Dr. Reza Dibaj \nVirtual: https://events.vtools.ieee.org/m/276938
URL:https://www.ieeetoronto.ca/event/distributed-machine-learning-101/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/276938
CATEGORIES:Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210708T150000
DTEND;TZID=America/Toronto:20210708T160000
DTSTAMP:20260525T020553
CREATED:20210525T165425Z
LAST-MODIFIED:20210809T205411Z
UID:10000417-1625756400-1625760000@www.ieeetoronto.ca
SUMMARY:From an Idea to a Startup
DESCRIPTION:We are living in the age of innovation. Every day\, innovators are solving many problems that people are facing in life. In the process of innovation\, there are many questions about how we can find problems. What is innovation exactly? How can we find solutions? And how can we learn the innovation process? \nI am Masoud Valinejad\, CEO-Director of technology in NovoSolTech Company\, and innovation mentor with more than five-year experience\, with 10 USA patents\, and more than five national and international special prizes in innovation competitions. In this webinar\, I want to show you how you can become an innovator and entrepreneur through some steps and practices. \nContact: Ayda Naserialiabadi
URL:https://www.ieeetoronto.ca/event/from-an-idea-to-a-startup/
LOCATION:Virtual – Zoom
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210607T180000
DTEND;TZID=America/New_York:20210611T210000
DTSTAMP:20260525T020553
CREATED:20210430T222549Z
LAST-MODIFIED:20210809T205016Z
UID:10000377-1623088800-1623445200@www.ieeetoronto.ca
SUMMARY:Introduction to Python Programming
DESCRIPTION:This is an introduction to Python programming for students without any prior programming knowledge or experience. The proposed 5-day course covers the fundamental aspects of programming\, which include data types\, various operators\, input/output\, conditions\, control flow\, functions\, and algorithms. The learning experience is enhanced by a number of examples and problem sets (data\, strings\, file processing and simple graphics) that will be solved interactively during the lecture with the participation of the students. The course format includes 3 hours of daily lectures. \nCourse Objective: Attendees will gain a solid understanding of principles of programing using Python; they can progress to more advanced programming topics and explores algorithms that are integral parts of more sophisticated methodologies\, e.g.\, Artificial Intelligence. Attendees will have the knowledge to write various Python programs\, and to design algorithms manipulating files and different types of data including numbers\, and text. \nNote: This course is designed to be offered online\, and it requires the attendees to use their personal computers/laptops. Details to Join in will be forwarded to Registered Attendees \nWho should attend: Students\, second career trainees\, engineers\, scientists\, clinicians\, and in general specialists in variety of non-STEM fields. \nWhat will you receive after completion: A certificate of completion will be given to the students who successfully complete the course and pass a short exam. Electronic copies of the course materials. Attendees will also be provided with career\, and skills development advice. \nSpeaker\nDr. Alireza Sadeghian \nDr. Alireza Sadeghian has been with the Department of Computer Science at Ryerson University since 1999\, where he holds the position of the Professor. He is also an Affiliate Scientist at the Li Ka Shing Knowledge Institute\, St. Michael’s Hospital\, and serves as the AI research Theme Lead in Healthcare and Analytics at the Institute for Biomedical Engineering\, Science\, and Technology. \nDr. Sadeghian was the Chair of the Department of Computer Science from 2005 to 2015. He is the founding Director of the Advanced Artificial Intelligence Initiative (AI2) Laboratory and has extensive expertise in the areas of AI\, machine learning\, and Deep Learning particularly related to industrial and medical applications. He has supervised 9 postdoctoral fellows\, 8 PhD\, and 24 Master’s students\, as well as 60 research assistants. He has published over 150 journal manuscripts\, refereed conference papers\, and book chapters\, as well as two edited books. He has 2 invention disclosures and 2 patents. \nDr. Sadeghian has been actively involved with a number of international professional and academic boards including IEEE Education Activity Board. Presently\, he is the Chair of IEEE Computational Intelligence Technical Society Chapter\, Toronto Section. Dr. Sadeghian is also on the Editorial Board of Applied Soft Computing Journal and serves as an Associate Editor of IEEE Access\, Information Sciences\, and Expert Systems Journal. \nEmail: dr.alireza.sadeghian@ieee.org \nAgenda\nDay 1 – June 7\, 2021\, 6:00-9:00 pm: Introduction to computer systems\, hardware architecture\, CPU\, memory\, compilation\, high level vs. low-level programming language\, data representation\, Python and PyCharm interactive IDE installation\, writing/editing/saving/retrieving and running a simple program\, basic data types\, variables\, assignments\, comments\, and expressions. The material learned will be reinforced through examples provided during the lecture. \nDay 2 – June 8\, 2021\, 6:00-9:00 pm: The following topics will be discussed: conditions\, operators (arithmetic\, logic\, and comparison)\, control statements (if and if-else)\, and loops (for and while). The material learned will be reinforced through examples provided during the lecture. \nDay 3 – June 9\, 2021\, 6:00-9:00 pm: Students will be introduced to Strings and text files in Python. They will learn how to work with files\, reading/writing text and numbers from/to a file\, string manipulation\, indexing\, and string slicing. The material learned will be reinforced through examples provided during the lecture. \nDay 4 – June 10\, 2021\, 6:00-9:00 pm: Functions\, arguments\, and return values will be discussed. The material learned will be reinforced through examples provided during the lecture. \nDay 5 – June 11\, 2021\, 6:00-9:00 pm: The topics of lists and dictionaries will be discussed. Students will learn about the basic operators\, creating\, accessing\, slicing\, adding\, removing\, replacing\, and iteration methods for lists and dictionaries. The material learned will be reinforced through examples provided during the lecture.
URL:https://www.ieeetoronto.ca/event/introduction-to-python-programming/
LOCATION:Virtual
CATEGORIES:Signals & Computational Intelligence,Women in Engineering,Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210510T130000
DTEND;TZID=America/Toronto:20210510T150000
DTSTAMP:20260525T020553
CREATED:20210430T023731Z
LAST-MODIFIED:20210809T204608Z
UID:10000374-1620651600-1620658800@www.ieeetoronto.ca
SUMMARY:The Role of AI in 5G/6G and IoT-Enabled Smart Grids
DESCRIPTION:IEEE Young Professionals brings speakers from Canadian research groups to give the community technical talks in AI-Powered Wireless Communications and Intelligent Cyber Physical Analysis in IoT-Enabled Smart Grids. \nThe virtual platform information will be sent to registrants a couple of hours ahead of starting the event. \nContact: IEEE Young Professionals Montreal \nSpeakers: \nDr. Melike Erol-Kantarci of University of Ottawa\nTopic: AI-Enabled Wireless Networks: A Bridge from 5G to 6G \nAbstract: \nFuture wireless networks are expected to support a multitude of services demanded by Enhanced Mobile Broadband (eMBB)\, Ultra-Reliable and Low-latency Communications (uRLLC)\, and massive Machine Type Communications (mMTC) users. Heterogeneous devices with different quality of service (QoS) demands will require intelligent and flexible allocation of network resources in response to network dynamics. For instance\, a highly reliable and low-latency network is needed to enable rapid transfer of messages between connected autonomous vehicles. At the same time\, the same physical infrastructure is expected to serve users with high-quality video demand or even mobile Augmented/Virtual Reality entertainment applications. Next-generation wireless networks are expected to accommodate such diverse use cases. In addition\, resource efficiency\, reliability\, and robustness are becoming more stringent for 5G and beyond networks. To meet this\, future wireless networks must incorporate a paradigm shift in network resource optimization\, in which efficient and intelligent resource management techniques are employed. Artificial intelligence\, or more specifically machine learning algorithms stand as promising tools to intelligently manage the networks such that network efficiency\, reliability\, robustness goals are achieved and quality of service demands are satisfied. The opportunities that arise from learning the environment parameters under varying behavior of the wireless channel\, positions AI-enabled 5G and 6G\, superior to preceding generations of wireless networks. In this keynote\, we will provide an overview of the state-of-art in machine learning algorithms and their applications to wireless networks\, in addition to their challenges and the open issues in terms of their applicability to various functions of future wireless networks. \nBiography: \nMelike Erol-Kantarci is Canada Research Chair in AI-enabled Next-Generation Wireless Networks and Associate Professor at the School of Electrical Engineering and Computer Science at the University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She is a Faculty Affiliate at the Vector Institute\, Toronto\, and the Institute for Science\, Society and Policy at University of Ottawa. She has over 150 peer-reviewed publications which have been cited over 5500 times and she has an h-index of 38. She has received numerous awards and recognitions. Recently\, she received the 2020 Distinguished Service Award of the IEEE ComSoc Technical Committee on Green Communications and Computing. She was named as N2Women Stars in Computer Networking and Communications in 2019. Dr. Erol-Kantarci has delivered 50+ keynotes\, tutorials and panels around the globe and has acted as the general chair and technical program chair for many international conferences and workshops. Her main research interests are AI-enabled wireless networks\, 5G and 6G wireless communications\, smart grid and Internet of things. She is an IEEE ComSoc Distinguished Lecturer\, IEEE Senior member and ACM Senior Member \nHadis Karimipour \nTopic: Intelligent Cyber Security Analysis in IoT-Enabled Smart Grids \nAbstract: \nToday’s smart grids are complex Cyber-physical Systems (CPSs) that integrate computational and physical capabilities for controlling and managing the ever-growing number of cyber-connected devices. \nAside from a fault in the physical domain\, CPS also suffer from cyber-attacks in both cyber and physical domain e.g.\, an industrial controller can be manipulated to launch various attacks such as the device state inference attack\, leading to system instability. Therefore\, any effort to secure the emerging critical CPSs is of paramount importance.  Nowadays\, a cyber-security specialist must detect\, analyze\, and defend against many cyber threats in almost real-time conditions. Without the employment of artificial intelligence and machine learning techniques\, dealing with a huge number of attacks in a timely manner is not possible. Intelligent\, big-data analytical techniques are necessary to mine\, interpret and extract knowledge of data when there is a significant amount collected from or generated by different security monitoring solutions. This talk will go through the CPS security challenges and AI-enabled state of the art solution in the literature. \nBiography: \nDr. Hadis Karimipour is the director of the Smart Cyber-physical System (SCPS) Lab and an Assistant Professor in the School of Engineering at the University of Guelph. She is among the pioneers of using Machine Learning (ML) for security analysis of critical infrastructure. She has published more than 80 journal articles\, conference papers and book chapters in top IEEE journals and conferences. She has been a keynote/invited speaker for more than 20 different IEEE/International Conference. She was the chair of the IEEE workshop on AI for Securing Cyber-Physical System (AI4SCPS) at IEEE CCECE 2019 and IEEE CyberSciTech 2020 conferences and chair of the special session on the AI for Security of IoT-Enabled Critical Infrastructures at the IEEE SMC 2020 conference. She was the technical committee member of numerous IEEE conferences\, including IEEE SEGE 2018\, 2019\, 2020\, IEEE DSAA 2020\, PST 2020\, IEEE EPEC 2018\, 2020\, and IEEE SMC 2020.\nDr. Karimipour is the Associate Editor of the Frontiers in Communications and Networks Journal\, Editor of American Journal of Electrical and Electronic Engineering\, and Editor of Journal of Electrical Engineering. She has also served as Guest Editor for Elsevier Journal of Computer and Electrical Engineering. She was the Editor of the Springer book on Security of Cyber-physical System. Dr. Karimipour is a Senior Member of IEEE member\, chair of IEEE Women in Engineering and chapter chair of the IEEE Information Theory Kitchener-Waterloo Section\, and an active member of Society for Canadian Women in Science and Technology.
URL:https://www.ieeetoronto.ca/event/the-role-of-ai-in-5g-6g-and-iot-enabled-smart-grids/
LOCATION:Montreal\, Quebec Canada
CATEGORIES:Women in Engineering,Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210413T190000
DTEND;TZID=America/Toronto:20210413T200000
DTSTAMP:20260525T020553
CREATED:20210430T023729Z
LAST-MODIFIED:20210504T201634Z
UID:10000371-1618340400-1618344000@www.ieeetoronto.ca
SUMMARY:IEEE VT Chapter Women in Engineering Series
DESCRIPTION:On April 13\, 2021 at 7:00 p.m.\, Dr. Fatima Hussain will present the talk “Insider Threat and Behaviour Modelling/Professional Career Development Discussions”. \nDate: Tuesday\, April 13\, 2021 \nTime: 7:00-8:00pm \nSpeaker(s): Dr. Fatima Hussain\, Senior Member\, IEEE\,\nManager\, Event Management and Analytics\, User Behaviour Analytics and Insider Threat\, Global Cyber Security\, Royal Bank of Canada\, Toronto\nAdjunct Professor\, Ryerson University\, Toronto \nLocation: All events are held with Zoom Meeting\nhttps://ryerson.zoom.us/j/96808290854\nMeeting ID: 968 0829 0854 \nOrganizer(s): IEEE VT Chapter \nContact: Lian Zhao \nAbstract: In the first half of the talk\, discussion about behaviour modelling and insider threat is done. Insider threat classification and related threat vectors are discussed in detail. Afterwards\, various methods used for identification and remediation of insider threat are presented\, along with cutting edge enterprise level tools and frameworks.In the second half of the talk\, we will have on-live discussions for professional caree rdevelopment\, through experience sharing and opinion sharing\, to encourage and guide young researchers career development plan\, and to motivate women career development in engineering. \nBiography: Fatima Hussain received the Ph.D. and M.A.Sc. degrees in Electrical and Computer engineering from Ryerson University\, Toronto\, ON\, Canada. Upon graduation\, she was a Postdoctoral Fellow with the Network-Centric Applied Research Team (N-CART)\, where she worked on various NSERC-funded projects in the realm of the Internet of Things. Currently\, she is part of User Behaviour and Insider Threat team \,working as a Manager\, Event Management and Analytics in Royal Bank of Canada (RBC)\, Toronto.She is responsible foremployee profiling and detection of insider threats\, by establishing baseline behaviours. She is working as an editor for IEEE Newsletter (Toronto)\, and associate editor for various journals. She is also an Adjunct Professor with Ryerson University and her role includes supervision of graduate research projects. Her research interests include cyber security\,insider threat\, XAI etc. Her background includes a number of distinguished professorships with Ryerson University and University of Guelph\, where she has been awarded for her research\, teaching\, and course development accomplishments within wireless telecommunication and Internet of Things.
URL:https://www.ieeetoronto.ca/event/ieee-vt-chapter-women-in-engineering-series/
CATEGORIES:Vehicular Technology,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210323T090000
DTEND;TZID=America/Toronto:20210323T130000
DTSTAMP:20260525T020553
CREATED:20210430T023727Z
LAST-MODIFIED:20210809T204252Z
UID:10000368-1616490000-1616504400@www.ieeetoronto.ca
SUMMARY:Hands-on Reinforcement Learning Workshop using Python
DESCRIPTION:IEEE Young Professionals Affinity Group Montreal brings you a free hands-on reinforcement learning workshop using Python in Google Colab. This event is co-hosted by IEEE YP Ottawa\, YP Toronto\, YP Vancouver\, IEEE SBs of Polytechnique Montreal\, Concordia\, ETS\, INRS\, WIE Ottawa\, SIGHT Montreal\, and CAS technical chapter of vancouver section. All students at all levels are welcome to attend\, however\, registration is mandatory through the secure IEEE web portal. This workshop will cover the basics of using Colab\, an introduction to reinforcement learning\, and together we will write your first Q-learning code. The workshop will be interactive\, and you will have a chance to code with us and ask your questions. We will also have breaks\, a discussion forum\, polls\, and Q&A. \nVirtual platform info has been delivered to registrants in rounds of emails. For immediate assistance\, please write us at yp.ieee.mtl@gmail.com \nSpeakers: \nSadia Khaf \nSadia Khaf received the B.E. degree in electrical engineering from the National University of Sciences and Technology\, School of Electrical Engineering and Computer Science (NUST-SEECS)\, Islamabad\, Pakistan\, in 2015. She received the M.Sc. degree in electrical and electronics engineering from Bilkent University\, Ankara\, Turkey\, in 2018. From 2015 to 2018\, she was a Research Assistant with IONOLAB\, Turkey. From 2018 to 2020\, she worked with the Faculty of Electrical Engineering\, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI)\, Pakistan\, as a Lecturer. She conducted her research there on Mobile Edge Computing and Deep Learning with the TeleCoN research group. Currently\, she is with École de Technologie supérieure\, Montreal\, Canada\, as a Ph.D. student. Her research interests include reinforcement learning\, radio resource management\, cognitive radio networks\, and industrial internet-of-things (IIoT). She was the recipient of the highest level of merit scholarships at NUST\, Bilkent\, and ÉTS. She also secured the P.E.O. International Peace Scholarship. She is the co-founder of SAYA school\, Pakistan\, and IEEE Women in Engineering (WIE) branch at ÉTS. She serves as the Vice-Chair of the IEEE ÉTS and Industrial Relations Manager of the IEEE Montreal Young Professionals Affinity Group. \nFaye Satari \nFaye Satari was born in Quchan\, a small town with minimal educational infrastructure and facilities. When she finished primary school\, she was accepted in the provincial entrance exam of the Exceptional Talents High School. After excelling in high school and hard working around the clock\, she participated in a very competitive tuition-free nationwide university entrance exam (i.e. Konkour) among about one and half million participants; She was accepted in Computer Software Engineering of Urmia University. During her undergraduate education\, she actively participated in many teamwork projects and attended some technical seminars as well as joining associations at her university. Furthermore\, she got the title of top student in technical faculty of the university in one semester and received her B. Sc. degree in Computer Software Engineering from Urmia University of Technology\, Urmia\, Iran\, in 2008. She is currently pursuing an M.Sc.A. Computer Engineering in the Department of Computer and Software Engineering\, Polytechnique Montréal\, University of Montreal\, Montreal\, Canada and she is a member of IEEE Young Professionals. Her current research interests include the Internet of Things (IoT)\, Smart Cities\, and telecommunications systems.
URL:https://www.ieeetoronto.ca/event/hands-on-reinforcement-learning-workshop-using-python/
LOCATION:Montreal\, Quebec Canada
CATEGORIES:SIGHT,Women in Engineering,Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210310T150000
DTEND;TZID=America/Toronto:20210310T170000
DTSTAMP:20260525T020553
CREATED:20210430T023723Z
LAST-MODIFIED:20210504T203713Z
UID:10000360-1615388400-1615395600@www.ieeetoronto.ca
SUMMARY:In celebration of International Women's Day Wearables in Healthcare: A Woman's Perspective
DESCRIPTION:Join us for an afternoon celebrating the work of women in wearable technology focused on health and life stages. Network with women using and integrating tech for the value it can provide. Collaborate in workshops where we will co-design the future wearables\, apps and services that address our priorities and needs. \nDate: 10 Mar 2021 \nTime: 03:00 PM to 05:00 PM \nSpeaker(s): Renn Scott\, Samira Rahimi \nLocation: Virtual \nOrganizer(s): IEEE Toronto WIE\, IM/RA \nContact: Toronto Section Affinity Group\,WIE\, Toronto Section Jt. Chapter\, IM09/RA24 \nBiographies: \nRenn Scott; MA\, Interaction Design\, RCA\, Founder + Chief Designer of Daily Goods Design LABS\, Senior Director of UX + ID at Myant \nA design leader and prolific inventor\, Renn has a passion for creating innovative user experiences and forward-thinking product designs. With over 20 years of experience at companies such as Myant\, IBM and BlackBerry in leadership roles within user experience\, design research\, consumer insights and strategic innovation\, Renn has helped design best in class products and experiences. \nRenn’s hands-on approach and point of view as a designer is radically different than most. For any project she always starts with ‘WHY create’ in the first place and uses a co-creative design methodology and best practices based on insights gained from female consumers. Renn’s experience and observations has been that there is a lack of female design leaders and designers in the tech and design fields. Instead of just leading by example Renn also strives to empower other women to make\, create and innovate in the field of design\, technology and fashion by sharing her insights\, skills and knowledge through Daily Goods Design LABS pop ups and educational event series. \nSamira Rahimi Eng. Ph.D.\, Assistant Professor\, Department of Family Medicine\, McGill University \nSamira Rahimi Eng. Ph.D. is an Assistant Professor in the Department of Family Medicine at McGill University\, affiliated scientist at Lady Davis Institute for Medical Research of the Jewish General Hospital\, and academic member of Mila—Quebec AI Institute. She is FRQS Junior 1 Research Scholar in human-centered AI in primary health care. \nHer work as Principal Investigator has been funded by the Fonds de recherche du Québec – Santé (FRQS)\, Natural Sciences and Engineering Research Council (NSERC)\, Roche Canada\, Brocher Foundation (Switzerland)\, and the Strategy for Patient-Oriented Research (SPOR)-Canadian Institutes of Health Research (CIHR). \nWith an interdisciplinary background\, Dr. Rahimi is interested in the development and implementation of clinical decision support tools and patient decision aids\, as well as integrating human-centered AI tools in primary health care. She specializes in computational intelligence\, decision making\, and applied operational research in health care.
URL:https://www.ieeetoronto.ca/event/in-celebration-of-international-womens-day-wearables-in-healthcare-a-womans-perspective/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210309T130000
DTEND;TZID=America/Toronto:20210309T140000
DTSTAMP:20260525T020553
CREATED:20210430T023722Z
LAST-MODIFIED:20210809T204940Z
UID:10000358-1615294800-1615298400@www.ieeetoronto.ca
SUMMARY:Classifying Holes\, Voids\, Negative Objects and Nothing and Quantum Computing
DESCRIPTION:Date: Tuesday\, March 9\, 2021 \nTime: 1:00 p.m. – 2:00 p.m. \nSpeakers: Katrina Hooper\, Javaid Iqbal Zahid \nLocation: Virtual – Zoom \nOrganizers: IEEE Toronto WIE \nContact: Maryam Davoudpour \nAbstracts:  \nIn the fields of Urban Search and Rescue (USAR)\, Search and Rescue (SAR) and autonomous travel\, understanding the entirety of the environment is an asset and most times a requirement. For example\, in USAR\, it is in the spaces between objects within a rubble pile\, which are a type of negative objects\, where trapped people can be found and where structural instabilities are located. While most research focuses on classifying positive objects\, we work to build a framework to understand negative objects and a set of standardized terminology to discuss and classify them. This presentation will discuss the necessity for creating a lexicon for negative objects\, exhibit applications of negative object research\, and suggest a starting point for vocabulary to reduce ambiguity around classes of negative objects. Furthermore\, we aim to spark a discussion about negative object research and suggest a starting point for a novel research area. \nQuantum computing is one of the emerging technologies for the future. Quantum computing is based on the principles of quantum mechanics and fuses beautifully with computer science. It is often in the news when computing supremacy is discussed. Governments and big technology companies like\, IBM\, Google\, Microsoft\, Intel\, etc. along with private partners\, are heavily investing in this technology. Quantum mechanics is based on counterintuitive properties like superposition\, entanglement\, and interference that make it different from classical computing. It is expected to outperform classical computing in certain areas of applications\, like medical science\, computer science\, and cryptography\, to name a few. In this talk\, we will discuss the fundamentals of quantum computing with an introduction to the principle/properties of quantum mechanics\, its usefulness for representing information\, and what operations can be performed on the information represented by Qubits. While quantum gates\, the fundamental information processing units of quantum computing are based on mathematical constructs from Linear Algebra and Probability\, classical computing is based on Boolean Algebra and Logics gates. A number of possibilities for representing and processing quantum information are much larger than classical computing – hence the promise of larger computer power of quantum computing. \nBiographies: \nKatrina Hooper \nKatrina is in her final year in her Computer Science Masters at Ryerson University. She holds an Honors BSc. from the University of Toronto with a specialist in Physics and a minor in Mathematics. Her interests are in the development of negative object research and imitation learning for chess engines. Under the supervision of Dr. Alex Ferworn\, she works to build a lexicon and a classifier for negative objects. \nJavaid Iqbal Zahid \nMr. Javaid Iqbal Zahid is currently a PhD student in Department of Computer Science\, Ryerson University\, and is supervised by Dr. Alex Ferworn. Mr. Javaid holds Bachelor of Science degree in Telecommunication Engineering and Master of Science degree in Electrical Engineering\, specializing in Communications and Computing. Additionally\, he obtained advanced training in\nCryptology and Wireless communications. Inspired by Dr. Claude E. Shannon\, he has special interest in information theory\, cryptography. He has been involved in deployment and operations of data networks and datacenters for a large government organization. He has also been acting as chief information security officer (CISO). At Ryerson\, he is currently conducting research in quantum computing with special attention in quantum cryptography. He is member of IEEE Computer\, Communication\, and Information Theory Societies.
URL:https://www.ieeetoronto.ca/event/classifying-holes-voids-negative-objects-and-nothing-and-quantum-computing/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210205T100000
DTEND;TZID=America/Toronto:20210205T120000
DTSTAMP:20260525T020553
CREATED:20210430T023720Z
LAST-MODIFIED:20210501T002436Z
UID:10000347-1612519200-1612526400@www.ieeetoronto.ca
SUMMARY:Project-based Python Workshop 3
DESCRIPTION:On Friday\, February 5\, 2021 at 10:00 a.m.\, IEEE Toronto WIE will host a Python workshop\, “How to Use LSTM for Text and Time Series Classification”. \nDay & Time: Friday\, February 5\, 2021\n10:00 a.m. – 12:00 p.m. \nSpeaker(s): Enas Tarawneh \nOrganizer(s): IEEE Toronto WIE\, York University WiCSE \nLocation: Virtual \nContact: Hina Tabassum \nAbstract: \nThis workshop focuses on how to classify or label text using bi-LSTM RNNs. It includes pre-processing/cleaning of the text and handling severely imbalanced classes using SMOTE\, oversampling\, under-sampling\, class count\, and log smoothen weights. Using different types of LSTM such as vanilla LSTM\, and Bi-LSTM\, we focus on time series problems with categorical data.  In summary\, this workshop will cover: \na) Preprocessing text and data\nb) Handling imbalanced datasets\nc) Use different types of LSTMs for text and time series classification\nd) Produce meaningful classification reports \nRegister: Please visit http://bit.ly/39IQFXd to register. \nBiography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision\, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship.  Prior to this\, Enas worked as an academic Lead\, instructor\, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly\, Enas is a wife and mother of three\, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.
URL:https://www.ieeetoronto.ca/event/project-based-python-workshop-3/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210128T180000
DTEND;TZID=America/Toronto:20210128T200000
DTSTAMP:20260525T020553
CREATED:20210430T023720Z
LAST-MODIFIED:20210501T002407Z
UID:10000345-1611856800-1611864000@www.ieeetoronto.ca
SUMMARY:IndustrioTech© Seminars - Smart Maintenance
DESCRIPTION:IEEE Toronto WIE and IM/RA is hosting “IndustrioTech”\, a series of seminars on Smart Maintenance (Predictive Maintenance) using variety of technologies. \nDay & Time: Thursday\, January 28\, 2021\n6:00 p.m. – 8:00 p.m. \nSpeakers & Topics: \nDr. Ahmad Barari\nDirector of Advanced Digital Manufacturing and Advanced Digital Metrology Laboratories\, Associate Professor at University of Ontario Institute of Technology\nTopic: LIVE Simulation for Predictive Maintenance \nMohsen Tayefeh\nIndustry 4.0 strategic Business manager\, CAD MicroSolutions\nTopic: Imperative foundations toward Smart Maintenace: Matching up the Technology with the Business Value \nShafiul Alam\nResearch Engineer McMaster Manufacturing Research Institute (MMRI)\nTopic: Predictive Maintenance and Industry 4.0 (Case study Honda manufacturing plant) \nDr. Amir Harandi\nCEO\, Artintech Inc.\nTopic: ML and GA: Artificial Intelligent techniques in Smart Maintenance \nOrganizer(s): IEEE Toronto WIE\, IM/RA \nLocation: Virtual \nContact: Ayda Naserialiabadi \nRegister: Please visit here to register.
URL:https://www.ieeetoronto.ca/event/industriotech-seminars-smart-maintenance/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210119T180000
DTEND;TZID=America/Toronto:20210119T200000
DTSTAMP:20260525T020553
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T002148Z
UID:10000342-1611079200-1611086400@www.ieeetoronto.ca
SUMMARY:Career Night Series: Writing Attention Grabbing Resumes
DESCRIPTION:On Tuesday\, January 19\, 2021 at 6:00 p.m.\, IEEE Toronto WIE and IM/RA will host “Career Night Series: Writing Attention Grabbing Resumes & Cover Letters”. \n\n\n\n\nDay & Time: Tuesday\, January 19\, 2021\n9:00 p.m. – 10:30 p.m. \nOrganizers: IEEE Toronto WIE\, IM/RA\, Ryerson Computer Science \nLocation: Virtual \nContact: Wincy Li \nDescription: Unclear about how to tailor a resume to industry jobs? Want to learn how to describe your accomplishments in an impactful manner? In this webinar\, you will learn how to gain the attention of hiring managers with well-written resumes and cover letters! \nFor accessibility needs\, please contact Wincy at wincyli@ryerson.ca as soon as possible. \nRegister: Please visit https://ryerson.zoom.us/webinar/register/WN_K0eDFX2LQtu97tfq0Wpy_w to register.
URL:https://www.ieeetoronto.ca/event/career-night-series-writing-attention-grabbing-resumes/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201210T133000
DTEND;TZID=America/Toronto:20201210T144500
DTSTAMP:20260525T020553
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T001657Z
UID:10000228-1607607000-1607611500@www.ieeetoronto.ca
SUMMARY:Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System
DESCRIPTION:On Thursday\, December 10\, 2020 at 1:30 p.m.\, Steve Delaney will present “Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System” and Iwona Sokalska will present “Corda Blockchain as a Sustainable Supply Chain for Open Education”. \nDay & Time: Thursday\, December 10\, 2020\n1:30 p.m. – 2:45 p.m. \nSpeakers: Steven Delaney\, Iwona Sokalska \nOrganizer: Ryerson CS Graduate Student Council\, IEEE Toronto WIE\, IM/RA \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstracts: \nTitle: Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System \nCost effective\, efficient and exemplary healthcare services is of paramount importance to all Canadians.   Countries around the world are addressing this through the consolidation and integration of siloed patient healthcare records into a unified system.  However\, consolidation and advances in technology that generate healthcare data threaten to overload clinicians with information. This makes the usability of healthcare data in terms of speed of access and relevancy that is optimized to the role of the clinician and healthcare scenario\, key to the success of the unified healthcare system.   My research objective is to design and demonstrate a solution\, that provides clinicians with a superior experience that provides them with the most relevant data for the current needs of the patient in order to determine and apply the best treatment in a timely manner\, using Semantic Web and Blockchain technology to support patient privacy and role based access and permission controls. \nTitle: Corda Blockchain as a Sustainable Supply Chain for Open Education: \nBlockchain solutions are disrupting the established supply chains. The ability to customize the transaction in the “business context” is one of the key reasons why blockchain will play a major role in reinventing the existing rigid supply chains. In this presentation\, we are going to look at \nCorda blockchain features that enable powerful supply chains capable of supporting new business models. We are going to build a case of why such a disruption is needed in the publishing industry to support the Open Education and Higher Education Affordability Act. The open education licences require proper attribution of contributors. One of the challenges in open education is that licences can be easily misused by 3-rd party content purveyors. In addition\, content creators often do not know where and how their content is being used. It is impossible for content creators to measure the impact of their works or to prevent licence misuse. Universities\, professors\, retail bookstores\, libraries and 3rd party higher education platforms constitute a complex ecosystem. In this ecosystem\, real barriers are causing scaling issues. The issues include content findability\, compliance\, licence misuse\, licence rigidity and proliferation of licence types and lack of interoperability for licences. The presentation will outline a Corda based supply chain and Information Retrieval to addresses these issues. Providing a decentralized platform for independent players in a system to reduce the complexity of transacting. Mainly by using smart contracts to manage licence agreement workflows. Scalability\, data privacy and data traceability are key considerations in the Corda blockchain which can be leveraged to support a sustainable business model and healthy ecosystems. \nRegister: Please visit https://events.vtools.ieee.org/m/246971 to register. \nBiographies: \nSteve Delaney \n\n\n\nSteve is a PhD candidate in Computer Science at Ryerson University working on the data quality of healthcare records.  He has an MBA from York University and an Honours Bachelor of Science degree from the University of Toronto.  He obtained his ICD.D certification from the Institute of Corporate Directors/Rotman School of Business.  He is currently on the Board of the CIO Association of Canada and is a member of several Advisory Councils.  Steve is the Co-Founder of Capital Blockchain\, a Canadian firm that develops blockchain solutions for the private and public sector.  Previously Steve was the CIO of the Ontario Telemedicine Network\, CIO of MCAP ( $100B mortgage firm) and VP Technology at RBC and BCE. \nEmail: steven.delaney@ryerson.ca \nIwona Sokalska \n\n\n\nIwona Sokalska is a 2nd-year Computer Science PhD student at Ryerson University. Iwona’s interests are in the automation of knowledge dissemination and knowledge extraction. Under the supervision of Professor Andriy Miranskyy\, Iwona is developing techniques for semantic code analysis using Artificial Intelligence\, specifically Graph Neural Networks. Iwona is a co-founder of OpenSail\, a distributed platform for licenced content dissemination. With over 10 years of experience\, Iwona has designed products and services in Medical Imaging\, Medical Informatics and Enterprise Knowledge Management Systems. Iwona holds an Honours B.Sc. double major in Computer Science and Mathematics from York University and an M.Sc. Data Science and Analytics from Ryerson University. Her mission is to improve the support of Open Education Community and increase adoption of Open Education Resources in institutions around the world.
URL:https://www.ieeetoronto.ca/event/improving-data-usability-for-clinicians-and-first-responders-in-a-unified-healthcare-system/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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DTSTART;TZID=America/Toronto:20201127T100000
DTEND;TZID=America/Toronto:20201127T120000
DTSTAMP:20260525T020553
CREATED:20210430T023718Z
LAST-MODIFIED:20210501T001506Z
UID:10000225-1606471200-1606478400@www.ieeetoronto.ca
SUMMARY:Python Project-based Workshop: How to track motion from bird eye multiple camera perspectives
DESCRIPTION:On Friday\, November 27\, 2020 at 10:00 a.m.\, Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. \nDay & Time: Friday\, November 27\, 2020\n10:00 a.m. – 12:00 p.m. \nSpeaker: Enas Tarawneh \nOrganizers: IEEE Toronto WIE\, IM/RA\, York University WiCSE \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstract: The workshop will focus on extracting images from multiple sources (webcam\, video\, ROS bag) and perform image processing to detect regions of high motion or change over a period. The workshop will also show how to stitch the multiple bird eye views from multiple cameras together to form one image of the floor where the motion is detected. This workshop includes: \na) Extracting frames from a camera\, video or ROS bag and generating a image stream \nb) Stitching the multiple bird eye views and calibrating to create one 2D image of the floor \nc) Perform multiple image processing to extract motion \nd) Create a motion map on the generated image of the floor. \nRegister: Please click here to register. \nBiography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision\, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this\, Enas worked as an academic Lead\, instructor\, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly\, Enas is a wife and mother of three\, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.
URL:https://www.ieeetoronto.ca/event/python-project-based-workshop-how-to-track-motion-from-bird-eye-multiple-camera-perspectives/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201113T100000
DTEND;TZID=America/Toronto:20201113T120000
DTSTAMP:20260525T020553
CREATED:20210430T023717Z
LAST-MODIFIED:20210501T000953Z
UID:10000217-1605261600-1605268800@www.ieeetoronto.ca
SUMMARY:Python Project-based Workshop: How to build your own intelligent agent
DESCRIPTION:On Friday\, November 13\, 2020 at 10:00 a.m.\, Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. \nDay & Time: Friday\, November 13\, 2020\n10:00 a.m. – 12:00 p.m. \nSpeaker: Enas Tarawneh \nOrganizers: IEEE Toronto WIE\, IM/RA\, York University WiCSE \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstract: The workshop will focus on creating an intelligent agent that can listen to questions given through natural language and generate natural language responses. The workshop will also dabble into customizing the voice used in these responses. This workshop includes: \na) Programming speech recognition. \nb) Leveraging cloud-based resources such as speech-to-text\, text-to-speech and AI querying to generate responses. \nc) Connect these together to create a turn taking intelligent agent. \nd) Customizing the voice used in these generated responses. \nRegister: Please click here to register. \nBiography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision\, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this\, Enas worked as an academic Lead\, instructor\, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly\, Enas is a wife and mother of three\, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.
URL:https://www.ieeetoronto.ca/event/python-project-based-workshop-how-to-build-your-own-intelligent-agent/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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