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BEGIN:VEVENT
DTSTART;TZID=UTC:20211118T180000
DTEND;TZID=UTC:20211118T200000
DTSTAMP:20260417T032155
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:20260417T032155
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:20260417T032155
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:20260417T032155
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:20260417T032155
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:20260417T032155
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:20260417T032155
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:20211007T180000
DTEND;TZID=UTC:20211007T190000
DTSTAMP:20260417T032155
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:20260417T032155
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:20260417T032155
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:20260417T032155
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:20260417T032155
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:20210719T180000
DTEND;TZID=UTC:20210719T200000
DTSTAMP:20260417T032155
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=America/Toronto:20210708T150000
DTEND;TZID=America/Toronto:20210708T160000
DTSTAMP:20260417T032155
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/Toronto:20210310T150000
DTEND;TZID=America/Toronto:20210310T170000
DTSTAMP:20260417T032155
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:20210128T180000
DTEND;TZID=America/Toronto:20210128T200000
DTSTAMP:20260417T032155
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:20260417T032155
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:20260417T032155
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201127T100000
DTEND;TZID=America/Toronto:20201127T120000
DTSTAMP:20260417T032155
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201113T100000
DTEND;TZID=America/Toronto:20201113T120000
DTSTAMP:20260417T032155
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201006T180000
DTEND;TZID=America/Toronto:20201006T200000
DTSTAMP:20260417T032155
CREATED:20210430T023716Z
LAST-MODIFIED:20210501T000504Z
UID:10000337-1602007200-1602014400@www.ieeetoronto.ca
SUMMARY:Career Night Series: Writing an Effective CV
DESCRIPTION:On Tuesday\, October 6\, 2020 at 6:00 p.m.\, IEEE Toronto WIE and IM/RA will host “Career Night Series: Writing an Effective CV”. \nDay & Time: Tuesday\, October 6\, 2020\n6:00 p.m. – 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, IM/RA\, Ryerson Computer Science \nLocation: Virtual \nContact: Wincy Li \nDescription: Not sure what the difference is between a resume and a CV? Unclear about how to structure your CV or what content to include? Join us for this webinar to learn how to construct an effective CV! \nIf you require any accessibility needs\, please contact Camara Chambers at c.chambers@ryerson.ca. \nRegister: Please visit https://lnkd.in/gBaMf9y to register.
URL:https://www.ieeetoronto.ca/event/career-night-series-writing-an-effective-cv/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200730T183000
DTEND;TZID=America/Toronto:20200730T193000
DTSTAMP:20260417T032155
CREATED:20210430T023539Z
LAST-MODIFIED:20210430T234839Z
UID:10000312-1596133800-1596137400@www.ieeetoronto.ca
SUMMARY:Measurement\, Control and Protection in Smart Grid Energy Management Systems for Smart Buildings in a Smart City
DESCRIPTION:Webinar by the IEEE Ottawa Section\, Instrumentation & Measurement Society Chapter (IMS)\, Power and Energy Society Ottawa Chapter (PES)\, Reliability Society and Power Electronics Society Joint Chapter (RS/PELS)\, Communications Society\, Consumer Electronics Society\, and Broadcast Technology Society Joint Chapter (ComSoc/ CESoc/BTS)\, and IEEE Ottawa Educational Activities (EA). \nDay & Time: Thursday\, July 30\, 2020\n6:30 p.m. ‐ 7:30 p.m. \nSpeaker: Prof. Saifur Rahman \nOrganizers: IEEE Ottawa Section\, Instrumentation & Measurement Society Chapter\, Power and Energy Society Chapter\, Reliability Society and Power Electronics Society\, Broadcast Technology Society Join Chapter\, IEEE Ottawa Educational Activities\, IEEE Toronto WIE \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nAbstract: Smart grid is a modern electric system with its architecture\, communications\, sensors\, measurements\, automation\, computing hardware and software for improvement of the efficiency\, reliability\, flexibility and security. In particular\, the smart grid\, when fully deployed\, will facilitate the (i) increased use of digital information and measurement\, control & protection technologies\, (ii) deployment and grid-integration of distributed energy resources (DERs)\, (iii) operation of demand response and energy efficiency programs\, and (iv) integration of consumer-owned smart devices and technologies. Different non-linear controls\, such as back-stepping control\, feedback linearization\, model predictive control\, and sliding mode control are applied to control DERs\, and their grid integration. Another control technique gaining application in the smart grid space is based on multi-agent systems (MAS) which provide autonomy\, reactivity and proactivity. As speedy communication facilities\, such as fiber-optics\, microwave\, GSM/GPRS\, 4G/5G are becoming the integral parts of the functioning smart grid\, the integration of MAS in smart grid applications is becoming simple and feasible. This lecture focuses on the measurement & control issues of the smart grid and how MAS can provide an efficient tool to address such issues. In addition\, an overview of the related challenges and opportunities for energy efficient building operation and management with deployment experience in the US will be provided. \nRegister: https://events.vtools.ieee.org/m/236481 \nBiography: Prof. Saifur Rahman is the founding director of the Advanced Research Institute (www.ari.vt.edu) at Virginia Tech\, USA where he is the Joseph R. Loring professor of electrical and computer engineering. He also directs the Center for Energy and the Global Environment (www.ceage.vt.edu). He is a Life Fellow of the IEEE and an IEEE Millennium Medal winner. He was the founding editor-in-chief of the IEEE Electrification Magazine and the IEEE Transactions on Sustainable Energy. In 2006\, he served on the IEEE Board of Directors as the Vice President for Publications. He is a distinguished lecturer for the IEEE Power & Energy Society (PES) and has lectured on renewable energy\, energy efficiency\, smart grid\, electric power system operation and planning\, etc. in over 30 countries. He was IEEE Power and Energy Society President 2018-2019 and is now a candidate for IEEE President-Elect 2021. \nHe chaired the US National Science Foundation Advisory Committee for International Science and Engineering\, 2010-2013. He conducted several energy efficiency projects for Duke Energy\, Tokyo Electric Power Company\, US National Science Foundation\, US Department of Defense\, State of Virginia and US Department of Energy.
URL:https://www.ieeetoronto.ca/event/measurement-control-and-protection-in-smart-grid-energy-management-systems-for-smart-buildings-in-a-smart-city/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Communications,Instrumentation & Measurement,Power & Energy,Power Electronics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200729T180000
DTEND;TZID=America/Toronto:20200729T200000
DTSTAMP:20260417T032155
CREATED:20210430T023538Z
LAST-MODIFIED:20210430T234634Z
UID:10000310-1596045600-1596052800@www.ieeetoronto.ca
SUMMARY:Introduction to NLP for Classification Task – Session 4
DESCRIPTION:On Wednesday\, July 29\, 2020 at 6:00 p.m.\, IEEE Toronto WIE\, Computational Intelligence Society\, and IM/RA will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 4”. \nDay & Time: Wednesday\, July 29\, 2020\n6:00 p.m. ‐ 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, Computational Intelligence Society\, IM/RA Society \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi\, Younes Sadat Nejad \nAbstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section\, WIE\, Computational Intelligence Society\, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. \nOur main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. \nIn this session\, we will be focusing on RNN and LSTM. \nRegister: Please visit https://events.vtools.ieee.org/m/236479 or https://events.vtools.ieee.org/m/236480 for more details and to register.
URL:https://www.ieeetoronto.ca/event/introduction-to-nlp-for-classification-task-session-4/
LOCATION:Online via Zoom Toronto\, Ontario Canada
CATEGORIES:Communications,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200723T130000
DTEND;TZID=America/Toronto:20200723T153000
DTSTAMP:20260417T032155
CREATED:20210430T023536Z
LAST-MODIFIED:20210430T234342Z
UID:10000307-1595509200-1595518200@www.ieeetoronto.ca
SUMMARY:Advanced Topics on Scalable Deployment of Machine Learning and Drone-Based Search and Rescue
DESCRIPTION:On Thursday\, July 23\, 2020 at 1:00 p.m.\, Dalia Hanna and Mujahid Sultan will be presenting “Advanced Topics on Scalable Deployment of Machine Learning and Drone-Based Search and Rescue”. \nDay & Time: Thursday\, July 23\, 2020\n1:00 p.m. – 4:00 p.m. \nSpeakers: Dalia Hanna\, Mujahid Sultan \n\n\nOrganizers: IEEE Toronto WIE\, IEEE IM/RA\, Ryerson CS Graduate Student Council\, IEEE Ryerson Computational Intelligence Chapter\, Ryerson CSCU \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nTitle: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia \nAbstract: Unmanned Aerial Vehicles (UAV) are now used in many applications. The focus in this presentation is on their use in public safety\, specifically in search and rescue (SAR) operations involving lost persons living with dementia (LPLWD). When it comes to saving lives\, there are many human factors associated with UAV operations that impact the performance of expert human SAR teams that could be improved through forms of automation. These include familiarity with the search location\, tasks associated with piloting and search/flight management during SAR operations.  A LPLWD may not be interested in assisting in their own rescue as they may not know they are lost. As such\, it has been observed that they tend to keep walking until they are faced with an obstacle that bars their further progress. The approach presented in this research work focuses on developing a people finding algorithm to identify higher probability locations where an LPLWD might be found\, through informed\, behavior-based analysis of the search location; then\, developing an algorithm to fly a UAV to the vicinity of these higher probability locations.  The algorithm was tested and validated through field testing. The results from both the data collection process and the field tests indicated that there are efficiencies in using the drone\, which enhances the probability of finding the lost person alive.  An informed cleaning process involving both manual and ‘R’-automated approaches to scrub and augment the data–adding any missing values in the dataset\, helped in understanding the behaviour of the lost person and in determining what significant variables enhanced their survivability. Linear regression was utilized to acquire the correlation among the numeric values in the database. The analysis indicated that there was no significant correlation among the independent variables; however\, the data indicated that the wanderer tended to be found closer to where they left or were last seen. Logistic regression was used to investigate the survivability using three classification models. Finally\, a framework is presented considering all the factors form the field tests and data analysis. \n\nTitle: How to build and deploy machine learning models in the scalable cloud  \nAbstract: Machine learning model development is a skill taught at schools and is a good skill to have but where most of the student’s lake is how to serve these models to the clients. How to scale. Make sure that the server does not die if it gets a million hits in a second. How to build security around it. \nAgenda: Interested students who want to build along with me\, can bring their laptop with MobaXterm installed and we can do the following together. \n\nlogin to a cloud environment (I will provide the cloud login credentials during the presentation)\ncreate a virtual environment for development\nbuild a semantic search engineby pulling libraries from the net\npick a visualization and presentation method from D3JS\ndevelop an application using MVC pattern like the flask\nwrap the application in a docker container\ninstall scalable web engine like NGINX\nhost it to the cloud (azure)\nprovide secure access with a username and password to anyone on the internet\n\nThis presentation will expose the tools required to build scalable machine learning applications in the cloud. \n\nRegistration: Please visit https://forms.gle/7ZoimYgVjjpC9mag8 to register. \nBiographies: \nDalia Hanna\nTopic: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia \nDalia Hanna is a PhD Candidate in the Department of Computer Science\, Ryerson University. She is a member of Ryerson’s Network-Centric Applied Research Lab\, a multidisciplinary Computational Public Safety-focused research lab. She has a B.Sc. in Electronics and Communication Engineering and M.Sc. in Instructional Design and Technology with a specialization in Online Learning. Dalia is also a certified project management professional (PMP ® ) and a certified facilitator. Her research interest in utilizing technology tools for public safety\, search and rescue\, and emergency management operations. . Dalia authored several research papers and presented in national and international conferences. \nMujahid Sultan\nTopic: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia \nMujahid Sultan is a senior computer scientist and enterprise architect with vast experience in machine learning\, pattern recognition\, deep learning\, NLP\, text synthesis\, transcription\, time-series forecasting and cloud-native developments (Python\, microservices\, APIs\, Docker\, Kubernetes). His current research focus: a) working to develop a robust clustering method with mathematical proofs b) improving learning from imbalanced data on graph-based deep learning backends (TensorFlow\, Torch and CNTK)\, and c) building Machine Learning based dynamic SDN controllers. \nHe has authored in high impact journals in fields of Machine Learning\, Artificial Intelligence\, Data Visualization\, Genetics and Drug Discovery for Cancer\, Requirements Engineering and Enterprise Architecture. His publications can be found at https://orcid.org/0000-0001-6721-4044 \nAreas of Expertise include: Regression\, Clustering\, Classification\, Deep Learning\, Convolutional and Recurrent Neural Networks (LSTMs)\, Natural Language Processing (NLP)\, Self-Organizing Maps (SOM)\, Topic Modeling and Parallel Processing. Expert in info visualization using matlab\, matplotlib\, D3js and plotly. \nSkills: Full-stack development: (Angular+Flask+Docker); Python: (Scikit-Learn\, Keras\, TensorFlow\, NLTK\, Spacy\, NumPy\, Matplotlib\, SpaCy to name a few); MATLAB: (toolboxes: statistics\, microeconomics\, parallel processing\, bioinformatics to name a few). \nPlatform experience: Docker Containers and Kubernetes on AWS\, Azure/Azure Stack and Google Cloud Platform. PaaS/IaaS: (AWS: (Elastic Beanstalk\, Lambda\, Poly\, Sage-Maker)\, Azure ML\, and Heroku).
URL:https://www.ieeetoronto.ca/event/advanced-topics-on-scalable-deployment-of-machine-learning-and-drone-based-search-and-rescue/
LOCATION:Online via Zoom Toronto\, Ontario Canada
CATEGORIES:Computer,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200715T180000
DTEND;TZID=America/Toronto:20200715T200000
DTSTAMP:20260417T032155
CREATED:20210430T023536Z
LAST-MODIFIED:20210430T234230Z
UID:10000306-1594836000-1594843200@www.ieeetoronto.ca
SUMMARY:Introduction to NLP for Classification Task - Session 2
DESCRIPTION:Recorded Material:\nVideo: https://drive.google.com/file/d/1gBUK_NtU3kSNblsGaYouLHyfDHlxr1tt/view\nPowerPoint: 2.IntroductiontoNLP\,Kagle \nOn Wednesday\, July 15\, 2020 at 6:00 p.m.\, IEEE Toronto WIE and Computational Intelligence Society will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 2”. \nDay & Time: Wednesday\, July 15\, 2020\n6:00 p.m. ‐ 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, Computational Intelligence Society \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi\, Younes Sadat Nejad \nAbstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section\, WIE\, Computational Intelligence Society\, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. \nOur main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. \nIn the second session\, we will introduce the concept of deep learning\, and then specifically focus on Natural Language Process. We will also introduce Kaggle Account as an environment for python coding. \nRegister: Please visit https://events.vtools.ieee.org/m/235444 or https://events.vtools.ieee.org/m/235447 for more details and to register.
URL:https://www.ieeetoronto.ca/event/introduction-to-nlp-for-classification-task-session-2/
LOCATION:Online via Zoom
CATEGORIES:Communications,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200708T180000
DTEND;TZID=America/Toronto:20200708T193000
DTSTAMP:20260417T032155
CREATED:20210430T023534Z
LAST-MODIFIED:20210430T234017Z
UID:10000304-1594231200-1594236600@www.ieeetoronto.ca
SUMMARY:Introduction to NLP for Classification Task – Session 1
DESCRIPTION:Recorded Material:\nVideo: https://drive.google.com/file/d/1gBUK_NtU3kSNblsGaYouLHyfDHlxr1tt/view?usp=sharing\nPowerPoint: 1-Intro to Python\, Data Science Libraries\, and Pytorch \nOn Wednesday\, July 8\, 2020 at 6:00 p.m.\, IEEE Toronto WIE and Computational Intelligence Society will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 1”. \nDay & Time: Wednesday\, July 8\, 2020\n6:00 p.m. ‐ 7:30 p.m. \nOrganizers: IEEE Toronto WIE\, Computational Intelligence Society \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi\, Younes Sadat Nejad \nAbstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section\, WIE\, Computational Intelligence Society\, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. \nOur main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. In session 1\, we will be covering the introduction to Python\, Data Science Libraries and Pytorch. \nRegister: Please visit https://events.vtools.ieee.org/m/233944 or https://events.vtools.ieee.org/m/233942 for more details and to register.
URL:https://www.ieeetoronto.ca/event/introduction-to-nlp-for-classification-task-session-1/
CATEGORIES:Communications,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20191113T173000
DTEND;TZID=America/Toronto:20191113T200000
DTSTAMP:20260417T032155
CREATED:20210430T023529Z
LAST-MODIFIED:20210430T233139Z
UID:10000292-1573666200-1573675200@www.ieeetoronto.ca
SUMMARY:SWE Speaks November 2019: A Journey of Successful Women’s Leadership
DESCRIPTION:Wednesday November 13th\, 2019 at 5:30 p.m. SWE Speaks will feature Tracy Holmes\, P.Eng.\, President of Jenike & Johanson Ltd\, a globally respected Bulk Solids Handling Consulting Engineering firm. \nDay & Time: Wednesday November 13th\, 2019\n5:30 p.m. ‐ 7:50 p.m. \nSpeaker: Tracy Holmes\, P.Eng.\nPresident of Jenike & Johanson Ltd \nOrganizers: SWE\, IEEE Toronto (WIE\, Measurement/Instrumentation-Robotics)\, Computer Science Department of Ryerson University \nLocation: 245 Church St\nToronto\, Ontario\nCanada M5B 1Z4\nBuilding: George Vari Engineering and Computing Centre\nRoom Number: ENG 288 \nRegister: https://events.vtools.ieee.org/m/209036 \nContact: Ayda Naserialiabadi \nAbstract: Are you looking around for female mentors and leaders to inspire your career? Are you excited to talk to women in engineering about their career paths? \nOur next SWE Speaks on November 13th features a Tracy Holmes\, P.Eng.\, President of Jenike & Johanson Ltd\, a globally respected Bulk Solids Handling Consulting Engineering firm. \nAgenda: \n5:30 pm – registration\n6:00 pm – speaker and Q&A\n7:00 pm – networking\nAll Engineers\, EITs\, P.Geo’s\, professionals in engineering-related fields (that includes you technicians\, software folks\, GIS specialists\, etc!) and new grads are welcome. We welcome people of all genders and supporters of women in engineering fields. \nCome make new connections and renew old ones. SWE Toronto is pleased to be co-hosting the evening with IEEE WIE. SWE Toronto and IEEE Women in Engineering help our members develop and reach their career goals through learning about others’ journeys and connecting our membership together. SWE Toronto’s mission statement is to support and contribute to the continual professional success of women in engineering. IEEE Women in Engineering’s mission statement is to facilitate the recruitment and retention of women in technical disciplines globally. \nBiography: Tracy has consulted to a wide spectrum of clients in Canada and overseas. She has published numerous papers and lectures frequently on the storage and flow of bulk solids across Canada. Tracy received her Bachelor of Applied Science in Civil Engineering from University of Waterloo in Canada.
URL:https://www.ieeetoronto.ca/event/swe-speaks-november-2019-a-journey-of-successful-womens-leadership/
LOCATION:245 Church St Toronto\, Ontario Canada M5B 1Z4
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20191008T150000
DTEND;TZID=America/Toronto:20191008T160000
DTSTAMP:20260417T032155
CREATED:20210430T023528Z
LAST-MODIFIED:20210430T232422Z
UID:10000290-1570546800-1570550400@www.ieeetoronto.ca
SUMMARY:Wireless Positioning and Sensing Network (WPSN™) for Hyper-Accurate Indoor & Outdoor Location Tracking System with Applications in the Critical and Massive IoT
DESCRIPTION:Tuesday October 8th\, 2019 at 3:00 p.m. Peyman Moeini\, B. Eng.\, MASc\, PMP\, P.Eng.\, will be presenting “Wireless Positioning and Sensing Network (WPSN™) for Hyper-Accurate Indoor & Outdoor Location Tracking System with Applications in the Critical and Massive IoT”. \nDay & Time: Tuesday\, October 8\, 2019\n3:00 p.m. ‐ 4:00 p.m. \nSpeaker: Peyman Moeini\, B. Eng.\, MASc\, PMP\, P.Eng.\nFounder and CEO of Peytec \nOrganizers: IEEE Toronto Instrumentation & Measurement Chapter\, Women in Engineering \nLocation: Progress Campus\n941 Progress Ave\, Scarborough\, ON M1G 3T8\nRoom L1-12 \nContact: Dr. Maryam Davoudpour \nAbstract: Wireless Sensor Networks (WSN’s) are the building blocks of Internet-of-Things (IoT) and Industrial IoT in the physical layer; however\, they lack a fundamental aspect; WSN’s are not designed to be located. There has been several research papers published that addresses the addition of localization capability in various Wireless Sensor Networks such as Zigbee\, BLE’s\, LoRa modules\, and NB-IoT. In virtually all of the mentioned networks\, by adding the localization capability other network and tags advantages such as latency\, battery life\, scalability\, and reliability will be negatively affected; in addition\, the localization accuracy obtained would vary significantly depending on the sample rate and method of localization. Most localization methodologies used to locate the position of a moving tag with the mentioned WSN’s utilize Received Signal Strength (RSSI) which is a range free methodology which often has poor localization accuracy and it is not repeatable nor reliable. To address this problem a groundbreaking Wireless Positioning and Sensing Network (WPSN™) is designed developed where not only a localization accuracy of 10 cm is maintained but also latency\, reliability\, scalability\, and battery life of the tags are not sacrificed to maintain and sustain the 10 cm localization accuracy. \nBiography:\nPeyman Moeini\, B. Eng.\, MASc\, PMP\, P.Eng.\, is an entrepreneur engineer who has launched several successful Internet of Things (IoT) & Artificial Intelligence (AI) products in various fields such as agriculture\, manufacturing\, logistics\, freight\, retail\, and mining. He has won more than 30 innovation and entrepreneurship awards in the IoT&AI fields. Peyman has extensive knowledge and experience in the IoT&AI spaces. Through his career\, Peyman has developed an AI algorithm that made the time efficiency of software 500 times faster for the exact same results! He holds several patents in this space and is the founder and CEO of Peytec\, a Smart Industrial IoT&AI company that builds and sells hyper-accurate “Indoor GPS” and Sensing Systems. Through his initiatives\, Peyman is on a mission to help make Canada be the global leader in IoT&AI space.
URL:https://www.ieeetoronto.ca/event/wireless-positioning-and-sensing-network-wpsn-for-hyper-accurate-indoor-outdoor-location-tracking-system-with-applications-in-the-critical-and-massive-iot/
LOCATION:Progress Campus 941 Progress Ave\, Scarborough\, ON M1G 3T8 Room L1-12
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20190717T121500
DTEND;TZID=America/Toronto:20190717T131500
DTSTAMP:20260417T032155
CREATED:20210430T023524Z
LAST-MODIFIED:20210430T231918Z
UID:10000174-1563365700-1563369300@www.ieeetoronto.ca
SUMMARY:Data Mining and Machine Learning with Application to Medical Data
DESCRIPTION:Wednesday July 17th\, 2019 at 12:15 p.m. Prof. Steven Wang\, Professor in Statistics at York University\, will be presenting “Data Mining and Machine Learning with Application to Medical Data”. \nDay & Time: Wednesday July 17th\, 2019\n12:15 p.m. ‐ 1:15 p.m. \nSpeaker: Prof. Steven Wang\nProfessor in Statistics\nDepartment of Mathematics and Statistics York University \nOrganizers: IEEE Toronto Robotics\, IEEE Toronto WIE\, EMB\, UHN \nLocation: TRI-UC\, Basement Lecture theatre\n550 University Ave.\, Toronto\, M5G 2A2 \nGoToMeeting: https://global.gotomeeting.com/join/435099981 \nContact: Prof. Azadeh Yadollahi \nAbstract: In this talk\, we will discuss some applications of data mining and machine learning to medical data. We will discuss a variety of topics: genetic analysis\, signal processing method for ECG and EEG\, personalized medicine\, autoimmune disease and human microbiome analysis. We will also share our experience on data including issues related to data cleaning and missing values. \nBiography: Dr. Steven Wang is a professor in Statistics at the Department of Mathematics and Statistics. He received his Ph.D. in Statistics from the University of British Columbia in 2001 and did one year Postdoc on Data Mining at the Pacific Institute of Mathematical Sciences. He joined York University in 2002 and currently a full professor in Statistics. His research included statistical theory\, data mining\, optimization and machine learning. With his co-inventors\, he has applied a Canadian and US patent for deep learning method. In the past 10 years\, his research is focused on machine learning and medical data. \nPoster: See Poster
URL:https://www.ieeetoronto.ca/event/data-mining-and-machine-learning-with-application-to-medical-data/
LOCATION:TRI-UC\, Basement Lecture theatre 550 University Ave.\, Toronto\, M5G 2A2
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20181017T140000
DTEND;TZID=America/Toronto:20181017T170000
DTSTAMP:20260417T032155
CREATED:20210430T022113Z
LAST-MODIFIED:20210430T224729Z
UID:10000238-1539784800-1539795600@www.ieeetoronto.ca
SUMMARY:Surgical Robots: Innovation\, Opportunities\, Challenges
DESCRIPTION:Wednesday\, October 17th 2018\, the GYBO Robotics Network will be hosting a symposium “Surgical Robots: Innovation\, Opportunities\, Challenges”. \nDay & Time: Wednesday October 17th\, 2018\n2:00 p.m. ‐ 5:00 p.m. \nOrganizers: GYBO Robotics Network\, IEEE Toronto Women in Engineering\, IEEE Toronto Instrumentation & Measurement – Robotics & Automation Chapter\, Autodesk\, Synaptive \nLocation: Autodesk Toronto\n661 University Avenue\nToronto\, ON M5G 1M1 \nRVSP: https://www.eventbrite.com/e/surgical-robots-innovation-opportunities-challenges-registration-50073521250?discount=IEEEWIE \nDescription: Canada is home to numerous initiatives in surgical robotics technologies including the commercialized work of Synaptive Medical\, the research on KidsArm at Sick Kids and investment in innovation centres such as the CSTAR research group. \nWith its world-leading hubs in health research and innovation\, Canada has a unique opportunity to combine key assets for innovation leadership; a highly concentrated health innovation cluster\, engineering and technical talent to create the solutions of the future\, and a single-payer system to support their larger scale adoption. \nThe symposium will explore home-grown Canadian innovations\, invite technology users and adopters to highlight what opportunities exist for these technologies\, and host a discussion on the challenges in bringing these technologies to market\, including their validation\, adoption\, policy innovation and how they will transform the healthcare system and practice. \nAgenda: \n2:00 pm Networking \n2:15 pm Surgical Robotic Technology Innovation in Canada – Technical Talks\n– Leila Kheradpir​\, M.Sc.\, P.Eng\, Director\, Hardware Engineering\, Synaptive Medical\n– Tim Fielding\, Medical Product Development Manager\, MDA\n– Thomas Looi\, Program Director\, Centre for Image Guided Innovation and Therapeutic Intervention\, Hospital for Sick Children\n– Rajni Patel\, Director of Engineering\, Canadian Surgical Technologies and Advanced Robotics and Canada Research Chair in Advanced Robotics and Control\, Western University \n3:20 pm Surgical Robots: Needs\, Opportunities and Gaps – User Talks\n– Dr. Taymaa May\, Gynaecologist\, Oncologist\, and Surgical Scientist\, UHN Princess Margaret Hospital\, Assistant Professor\, University of Toronto \n3:50 pm Networking \n4:10 pm Panel Discussion\n– Cameron Piron\, CoFounder and Member of the Board\, Synaptive Medical\n– Tim Reedman\, Director\, Commercial Systems\, MDA Robotics\n– Rajni Patel\, Director of Engineering\, Canadian Surgical Technologies and Advanced Robotics and Canada Research Chair in Advanced Robotics and Control\, Western University\n– Leila Kheradpir​\, M.Sc.\, P.Eng\, Director\, Hardware Engineering\, Synaptive Medical \n4:50 pm Closing Remarks \n5:00 pm Networking
URL:https://www.ieeetoronto.ca/event/surgical-robots-innovation-opportunities-challenges/
LOCATION:Autodesk Toronto\, 661 University Avenue Toronto\, ON M5G 1M1
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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END:VCALENDAR