Career Night Series: Which Direction Should I Take with My Career?
2020-09-22 18:00 - 20:00 (America/Toronto)
On Tuesday, September 22, 2020 at 6:00 p.m., IEEE Toronto WIE will host the webinar “Career Night Series: Which Direction Should I Take with My Career?”.
Day & Time: Tuesday, September 22, 2020
6:00 p.m. – 8:00 p.m.
Organizers: IEEE Toronto WIE, Ryerson Computer Science
Location: Virtual – Webinar
Contact: Wincy Li
Description: Not sure whether to pursue a PhD or Postdoc? Unclear about your career options?
In this webinar, you will learn how to research the labour market so that you will be empowered with the tools and resources you need for career decision making and planning.
If you require any accessibility needs, please contact Wincy at wincyli@ryerson.ca as soon as possible.
Register: Click here to visit the registration page.

The Digital Utility - From AI, AR, MR to Blockchain platforms to support P2P
2020-09-21 18:00 - 2020-09-24 21:00 (America/Toronto) | Virtual – Zoom
This event has been cancelled.
Certificate for Course THE DIGITAL UTILITY, Signed by the Instructor. 15 PDUs per course for 5 day course. Discounts available for students and for companies who register more than 5 people for the event. Email dustin.dunwell@ieee.org for details.
Course Timetable:
Start time: 6:00 pm ET
End time: 9:00 pm ET
On each of the following dates:

Monday, September 21, 2020
Wednesday, September 23, 2020
Thursday, September 24, 2020
Monday, September 28, 2020
Thursday, October 1, 2020

Speakers: Puica Nitu, Afiny Akdemir
Location: Virtual – Zoom
Full meeting details, including passwords to join the meetings, will be sent out to registrants before the event.
Organizer: IEEE Toronto
Contact: Satish Saini, Dustin Dunwell
Register: https://meetings.vtools.ieee.org/m/238130
Course Fees:

Non-IEEE Members: $250 CAD
Active Members: $220 CAD
Student Members: $50 CAD
Discounts available for students and for companies who register more than 5 people for the event.

Course Content: The Digital utility encompasses technological end-to-end digitization with emphasis on the consumer, on the flexibility and integration of renewable technologies while offering an increased portfolio of market services. This is the first course of 4 e-learning courses. Each course runs 5 evenings, for 3 hours each.
The first course presents the integration of new technologies in light of regulatory changes. The course explores the penetration of renewable energy resources facilitated by the operating flexibility brought by power electronics. Interoperability aspects and industry standards are discussed, with focus on the consumer centric paradigm of Transactive Energy.
This course defines AI followed by VR, AR and MR as they apply to power systems. Practical examples illustrate each methodology. Special attention is given to advanced AI applications with Machine Learning for load and solar energy forecasts. The White House call-to-action of a decade ago allows utilities today to utilize energy platforms and APIs to standardize reporting, optimize consumption and leverage the much needed open exchange of solar data.
The course introduces the Blockchain as a new line of defense against cyber threats and its increasing application to Peer-to-Peer transactions to stimulate green energy trading and also trading Renewable Certificates or Credits.
The course provides industry examples from utilities and agencies from Canada, US, EU and Southeast Asia.
Course Outline:

Introduction: Historical Evolution of the inverter-based technologies
Performance Requirements: Power System Controls Regulatory Agreements NERC, EU ENTSO
The Role of the ISO
Demonstration of Essential Reliability Services – Control algorithms
Power System Stability in an Inverter dominated Grid
TRANSACTIVE ENERGY – THE PROSUMER
P2P Energy Trading
Collaboration between Market Entities and Government Agencies Cloud Services for Utilities – NAESB Green Button, Orange Button
ARTIFICIAL INTELLIGENCE -AI and Artificial Neural Networks- ANN
AI and ANN Applications in Power Systems: Machine Learning
Training the algorithm for Short Term Load Forecast and Solar Energy Forecasts
IOT – Internet of Things; A brief look into Interoperability INTERNET OF THINGS WORLD FORUM REFERENCE MODEL
AR- AUGMENTED REALITY
VR- VIRTUAL REALITY
MR- MIXED REALITY and AR-Augmented Reality
IEDs- Intelligent Electronic Devices and SENSORS IEDs – Examples and Functionality
BLOCKCHAIN Security Certification ; Vulnerability Blockchain Applications in the Power Industry- P2P Trading
Trading Renewable Certificates
Emission Credits
Class Test 45 min and Discussions for Course Certification

The target audience for this course includes practitioners at all levels in the organization in companies in the power industry, LDCs, regulatory agencies and students in engineering and economics. The course would benefit law firms supporting renewable investments, and CleanTech groups.
Biographies:
Puica Nitu, M.Sc. P.Eng., SM IEEE, CIGRE

Puica Nitu is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex utility projects in operations (EMS, energy derivatives, reliability studies and policy) and conducted long term planning studies to support planning and operational reliability standards.
Specializing in Smart Grids, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. Most recently, Puica was the Operations Expert for a regulatory assessment of the Oman Control Centre.
With over 25 years with Ontario Hydro and its successor company Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, NSERC (Natural Sciences and Engineering Research Council of Canada), Senior Member IEEE and Elsevier since 1990.
Puica Nitu chaired international conferences, lectured on 4 continents, published a book on Reliability and Security of Nuclear Power Plants, papers in IEEE, PICA, CIGRE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars to OPG, seminars organized by the Power Engineering Society, IEEE and seminars to power companies worldwide, including Thailand, Saudi Arabia, Oman, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana.
Puica Nitu is a registered member of the Professional Engineers of Ontario, Canada.
Afiny Akdemir
Afiny Akdemir is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as “Toronto’s Best Tech Startup 2019” and was named one of the top 10 “Canadian AI Startups to Watch” as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership.
Afiny Akdemir specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications.
At Xesto, Afiny leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology.
In addition, Afiny is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. His ongoing projects examine the results of the regularity of the equation that governs optimal matching between two arbitrary sets in different dimensions. He is developing algorithmic applications of these results, as well as studying these applications in the context of big data and statistical estimation where the parameter space is much larger than the number of observations. Afiny earned a Bachelor’s and MSc in Mathematics, both at the University of Toronto.
Having presented at research seminars as well as instructing engineers on various levels, Afiny has the ability to distill advanced theoretical concept to diverse audiences on all levels.
In addition to research, Afiny is also an avid traveller and plays the violin.

API Economy: Managing Security and Compliance Risks at Academia
2020-09-10 11:00 - 12:00 (America/Toronto)
On Thursday, September 10, 2020 at 11:00 a.m., Sherry Qin will present “API Economy: Managing Security and Compliance Risks at Academia”.
Day & Time: Thursday, September 10, 2020
11:00 a.m. – 12:00 p.m.
Speaker: Sherry Qin
Organizer: IEEE Toronto WIE, York University WiCSE
Contact: Hina Tabassum, Ayda Naserialiabadi
Abstract: Application Programing Interfaces (APIs) have transformed our digital world by connecting data, processes, and people. There are thousands of Open APIs publicly available for creating innovative applications dealing with Public Services, Health Sciences, IoT, Artificial Intelligence, Social Media, and many others contributing to the Digital Economy. Researchers and students in academia are increasingly using Open APIs for various research/training related digital services and other academic purposes.
Open APIs offer great benefits, but they come with security and legal risks. Unfortunately, not everyone (especially students) are aware of the underlying security and compliance challenges. Furthermore, there are no easily accessible repositories that provide security/legal assessments on these publicly available APIs. Existing repositories such as ProgrammableWeb, API.io, RapidAPI.com, APIs.guru and others are best at providing API endpoints, categories, and other information, which are not sufficient to address the security and legal concerns.
In this presentation, speaker will discuss about the state of Open APIs from design and security perspectives that have been assessed by analyzing thousands of Open APIs from hundreds of vendors. Speaker will also talk about legal risks that should be avoided while using Open APIs. Overall, audience will learn about how to: (1) take advantage of the myriad of Open APIs; (2) accelerate research and product development; (3) meet compliance regulations; (4) reduce security/legal/privacy risks to make data-driven applications more INNOVATIVE (through Open APIs) yet SECURE (from cyber-attacks) and COMPLIANT (with Canadian privacy laws, GDPR, EU-US Privacy Shield, and other regulations).
Register: Please visit here for more information and to register.
Zoom Link: https://us02web.zoom.us/j/3263892360
Biography:
Name: Sherry Qin
Education: University of British Columbia Master of Business Analytics
Current role: Business and Market Associate at TeejLab
Current work: Expanding community and increasing public awareness of API Security by holding industry and academic reaching-out events. Have successfully organized several online Fireside Chats.

Multi-Terminal HVDC Offshore Networks: Latest European Experience in Circuit Breaker Technology
2020-09-09 11:00 - 12:00 (America/Toronto)
On Wednesday, September 9, 2020 at 11:00 a.m., Cornelis Plet of DNV GL will present “Multi-Terminal HVDC Offshore Networks: Latest European Experience in Circuit Breaker Technology”.
Day & Time: Wednesday, September 9, 2020
11:00 a.m. – 12:00 p.m.
Speaker: Cornelis Plet
Organizer: IEEE Toronto/King/Kitchener-Waterloo/Hamilton/London Joint Dielectrics & Electrical Insulation Chapter
Location: Virtual – Zoom
Contact: Mohsen Zadeh
Abstract: The transmission of a growing amount of renewable energy resources, offshore wind in particular, can be implemented effectively and efficiently by multi-terminal HVDC transmission grids. Protection of these grids will require the interruption of DC fault currents. Traditional AC circuit breakers require current zero crossings to interrupt fault currents. The absence of this periodic current zero in DC systems has led to the development of DC circuit breakers, and entirely different approach towards interrupting DC short-circuit currents. This presentation will explain the basic operating principles of HVDC circuit breakers and different ways of implementing them in HVDC grids. Based on that, the testing challenges along with a description of a sample test circuit capable of performing all relevant electrical stresses in a one-circuit one-shot test will be presented. Finally, laboratory test results of three different types of HVDC circuit breakers will be presented and discussed. The presented information is a result of the work done in an EU-funded project (Progress On Meshed Offshore HVDC Transmission Networks or PROMOTioN for short – www.promotion-offshore.net) and coordinated by DNV GL as a partner.
Register: Please visit https://events.vtools.ieee.org/m/236839 for more details and to register.
Biography: Cornelis Plet is a senior consultant in HVDC Technologies & Offshore Power Systems in the Power Equipment Quality team of DNV GL’s Transmission & Distribution Technology section. He is currently technical coordinator of the European Union funded ‘Progress On Meshed HVDC Offshore Transmission Grids’ (PROMOTioN). As part of PROMOTioN, he led the development and validation of a high power HVDC circuit breaker test environment. He has extensive experience in failure investigations of cables and substation equipment. He holds an MEng in electrical engineering and a Ph.D in Fault Behaviour of Power Electronics in Power Systems, both from Imperial College London.

How to Start an App Idea Today that Gets Customers!
2020-09-03 18:00 - 19:00 (America/Toronto)
On Thursday, September 3, 2020 at 6:00 p.m., Aliya Amershi, Tech Coach & Startup Founder at Codefree App Launch will present “How to Start an App Idea Today that Gets Customers!”.
Day & Time: Thursday, September 3, 2020
6:00 p.m. – 7:00 p.m.
Organizer: IEEE Toronto WIE
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi
Program Outline:

My “5-Step System” to get to app launch without all the guesswork, inspired by proven Silicon Valley tech startup methods.
The biggest mistake most entrepreneurs make without even knowing and why building the “perfect” app can fail.
How to startup without depending on investors, finding co-founders, or paying for developers.
What I did to go viral and start experiencing exponential growth!
The latest tools on the block to make your app from scratch without having to write a single line of code.
Entrepreneur mindset hacks to help break through your internal barriers so that you can get started today.
Why getting customers for just your app idea before you even build your app is important and how to start making some real progress.

Register: https://www.eventbrite.ca/e/118328619085/
Biography:
Aliya Amershi, Tech Coach & Startup Founder @ Codefree App Launch
Aliya is on a mission to help ambitious women entrepreneurs break into tech and build an app idea that gets customers fast without all of the unnecessary barriers to entry. Aliya’s unique online accelerator is focused on empowering women to quickly get their app idea out to market and start making a positive impact without having to pitch investors, learn code, or find developers.
Aliya is a former engineer turned entrepreneur with over 20 years of technology experience and 5 years of startup experience. She has helped build multiple popular apps and tech products, including the Emmy Award-winning Nick App. She has held senior tech and leadership roles at Fortune 500 Enterprises, built two bootstrapped Startups, and served as a local director for a Silicon Valley-based Incubator. In addition, Aliya is a member of the Young Entrepreneur Council and regularly contributes to Forbes and Inc. for her expert advice on technology and entrepreneurship. One of her favorite quotes she goes by is: “If you decide not to quit, the only option is to win!”.

Electrical safety, Ground Fault monitoring for Electric Vehicles and Charging Stations
2020-09-02 13:00 - 14:00 (America/Toronto)
On Wednesday, September 2, 2020 at 1:00 p.m., Frédéric Mathieu from Bender Canada will present “Electrical safety, Ground Fault monitoring for Electric Vehicles and Charging Stations”.
Day & Time: Wednesday, September 2, 2020
1:00 p.m. – 2:00 p.m.
Speaker: Frédéric Mathieu, Sales Manager & Head of EV Division (Canada Region) at Bender Canada
Organizers: IEEE Toronto Power Electronics and Consumer Electronics Chapter and Bender Canada
Location: Virtual
Contact: Mostafa Mahfouz
Abstract: As more electric vehicles and charging stations are in operation in the world, the importance on electrical safety should not be overlooked. Electric vehicles and charging stations are prone to electrical failures just as much as industrial-type electrical systems. One of the most fundamental aspects of electrical safety is Ground Fault monitoring and protection.
This talk explores the different protection mechanisms used for ground fault detection on EV and EVSE and the product solutions tailored for the environments of electric vehicle and its charging process, in particular the mix of AC and DC within the same system. Accurate and reliable insulation monitoring inside the EV ensures the electric vehicle is safe to use for its occupants. In addition, many electrical codes and standards regulate electrical safety in charging stations, and this talk will focus on Residual Current monitoring for Level 2 chargers and Insulation monitoring for Level 3 chargers.
Register: Please visit https://events.vtools.ieee.org/m/236400 to register.
Biography: Frédéric Mathieu is a Sales and Application Engineer at Bender Canada Inc, and earned a B. Eng. degree in Electrical Engineering from École Polytechnique de Montréal, with the emphasis on power generation, transmission and distribution. For more than 5 years, he focuses on design, technical support and sales for Industrial markets in Eastern Canada, as well the EV/EVSE market across the country. He has worked with many major utilities companies, OEM and end users to assist in applying ground fault monitoring to maximize electrical safety on their systems.

MAC Protocol Design for IoT Applications
2020-08-25 19:00 - 20:00 (America/Toronto) | Virtual – Zoom
On Tuesday, August 25, 2020 at 7:00 p.m., IEEE Toronto Computational Intelligence Society will be hosting “MAC Protocol Design for IoT Applications”.
Day & Time: Tuesday, August 25, 2020
7:00 p.m. ‐ 8:00 p.m.
Organizers: IEEE Toronto Computational Intelligence Society
Location: Virtual – Zoom
Contact: Lian Zhao
Abstract: In this presentation, we introduce media access control (MAC) protocol design for two IoT applications, i.e., vehicle-to-vehicle (V2V) safety message broadcast in connected vehicles and smart factory in industry IoT. For each considered application, we investigate its unique communication characteristics, design our MAC protocol accordingly, and model and analyze the performance of the proposed design. For the V2V safety message broadcast, we develop a fully distributed MAC that achieves substantially lower delay and collision probability compared to existing distributed MAC designs. For the smart factory application, we develop a centralized MAC that can support a large number of devices with a single communication channel while satisfying stringent delay and collision requirements. Through the two examples, we demonstrate the potential of MAC design innovations in supporting emerging IoT applications.
Register: Please visit https://events.vtools.ieee.org/m/237813 for more details and to register.

2D Game Development in Unity with C# - Session 5
2020-08-24 18:30 - 20:30 (America/Toronto) | Online via Zoom
On Monday, August 24, 2020 at 6:30 p.m., IEEE Ryerson Computational Intelligence Chapter will be hosting “2D Game Development in Unity with C# – Session 5”.
Day & Time: Monday, August 24, 2020
6:30 p.m. ‐ 8:30 p.m.
Speaker: Steven Medeot
Organizers: IEEE Ryerson Computational Intelligence Chapter, IEEE Toronto WIE
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi
Abstract: Our interactive workshop welcomes new and experienced programmers who are interested in 2D game development. This event hosted by IEEE Ryerson Computational Intelligence Chapter is sponsored by IEEE WIE and will provide the building blocks and best practices in developing a 2D level game including, creating a player, creating enemies, game loops, animations, and more! All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a friendly competition with small prizes at the end of the workshop series.
Session 5 focuses on polishing your 2D game.
Register: https://forms.gle/VvZW3oeZ81UCtgnX7
Biography: Steven Medeot is a 3rd-year Computer Science Student at Ryerson University. He has a background in Game Development, who completed the Game Programming curriculum at George Brown College with a few years of experience working in this industry and enjoys developing his own games on the side. He strongly believes that creating a game that people can find joy in is a wonderful experience and wants to share some of the basic knowledge he has learned throughout the years.

An Introduction to Django Web Development with Python
2020-08-19 10:00 - 11:00 (America/Toronto) | Toronto, Ontario Canada
On Wednesday, August 19, 2020 at 10:00 a.m., Suho Kang will present “An Introduction to Django Web Development with Python”.
Day & Time: Wednesday, August 19, 2020
10:00 a.m. – 11:00 a.m.
Speaker: Suho Kang
Organizer: IEEE Toronto WIE, Magnetics Chapter
Location: Virtual – Zoom
Contact: Seyed M. Reza Dibaj, Maryam Davoudpour
Abstract: Django is a Python Web framework that encourages rapid development and clean design.
So many functionalities are already built in this framework by experienced developers, so you do not have to re-invent the wheel, and Django will take care of those hassles for you.
In our event, we will be building a basic Django Web Application from scratch in a hands-on approach.
At the end of this course, you will be familiar with how to make a virtual environment, Django installation process, an HTTP request handling, and a CSS file and image file importing steps.
(Requirements: The requirements are knowing the basic python, HTML, and CSS, and the recommended platform consists of anaconda (preferred), Python3, and the installed git bash on your system.)
It is highly recommended to participate in Getting Started with Python and Applied Data Science with pandas, before attending this event.
Register: Please visit https://events.vtools.ieee.org/m/237004 for more information and to register.

Applied Data Science with pandas
2020-08-18 10:00 - 11:00 (America/Toronto) | Toronto, Ontario Canada
On Tuesday, August 18, 2020 at 10:00 a.m., Rafael Afonso Silva will present “Applied Data Science with pandas”.
Date & Time: Tuesday, August 18, 2020
10:00 a.m. – 11:00 a.m.
Speaker: Rafael Afonso Silva
Organizer: IEEE Toronto WIE, Magnetics Chapter
Location: Virtual – Zoom
Contact: Seyed M. Reza Dibaj, Maryam Davoudpour
Abstract: Pandas is a fast, powerful, flexible and easy to use environment on top of the Python programming language. It is an open-source data analysis and manipulation tool, which has made our life easier in the Data Science world. If you work or intend to work with data using Python, you need to know pandas, either for Data Analysis, Data Science or Machine Learning. In our workshop, we will provide a hands-on introduction to the pandas library and will learn how to use its amazing features to extract, analyze and manipulate our data from different data sources.
(Prerequisite: You need to have basic programming knowledge in Python)
Register: Please visit https://events.vtools.ieee.org/m/237002 for more information and to register.

2D Game Development in Unity with C# - Session 4
2020-08-17 18:30 - 20:30 (America/Toronto) | Online via Zoom
On Monday, August 17, 2020 at 6:30 p.m., IEEE Ryerson Computational Intelligence Chapter will be hosting “2D Game Development in Unity with C# – Session 4”.
Day & Time: Monday, August 17, 2020
6:30 p.m. ‐ 8:30 p.m.
Speaker: Steven Medeot
Organizers: IEEE Ryerson Computational Intelligence Chapter, IEEE Toronto WIE
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi
Abstract: Our interactive workshop welcomes new and experienced programmers who are interested in 2D game development. This event hosted by IEEE Ryerson Computational Intelligence Chapter is sponsored by IEEE WIE and will provide the building blocks and best practices in developing a 2D level game including, creating a player, creating enemies, game loops, animations, and more! All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a friendly competition with small prizes at the end of the workshop series.
Session 4 explores animations and the associated features in animating your player/enemies.
Register: https://forms.gle/VvZW3oeZ81UCtgnX7
Biography: Steven Medeot is a 3rd-year Computer Science Student at Ryerson University. He has a background in Game Development, who completed the Game Programming curriculum at George Brown College with a few years of experience working in this industry and enjoys developing his own games on the side. He strongly believes that creating a game that people can find joy in is a wonderful experience and wants to share some of the basic knowledge he has learned throughout the years.

Getting Started with Python
2020-08-17 10:00 - 11:00 (America/Toronto) | Tornoto, Ontario Canada
On Monday, August 17, 2020 at 10:00 a.m., Sathish Ravichandran will be presenting “Getting Started with Python”.
Day & Time: Monday, August 17, 2020
10:00 a.m. – 11:00 p.m.
Speaker: Sathish Ravichandran
Organizers: IEEE Toronto WIE, Magnetics Chapter
Location: Virtual – Zoom
Contact: Seyed M. Reza Dibaj, Maryam Davoudpour
Abstract: Python is an easy to learn programming language with a wide variety of well-paying jobs in many fields, including data science, web development, network programming and so on.
This workshop is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python, especially if you are pursuing a career in data science, AI, web development, big data, web testing, or programming for smart devices in Python.
Register: Please visit https://events.vtools.ieee.org/m/237001 for more details and to register.

IEEE SEGE2020 – The 8th International Conference on Smart Energy Grid Engineering
2020-08-12 - 2020-08-14 | Ontario Tech University, Oshawa, Canada
The SEGE conference aims at providing an opportunity to discuss various engineering challenges of smart energy grid design and operation by focusing on advanced methods and practices for designing different components and their integration within the grid. It also provides a forum for researchers from academia and professionals from industry, as well as government regulators to tackle these challenges, and discuss and exchange knowledge and best practices about design and implementation of Smart Energy Grids.
Conference Dates: August 12-14, 2020
Organizers: IEEE Toronto
Location: Virtual
Contact: Dr. Hossam Gabbar
Papers related to the conference theme are solicited: http://ieee-sege.com

2D Game Development in Unity with C# - Session 3
2020-08-10 18:30 - 20:30 (America/Toronto) | Online via Zoom
On Monday, August 10, 2020 at 6:30 p.m., IEEE Ryerson Computational Intelligence Chapter will be hosting “2D Game Development in Unity with C# – Session 3”.
Day & Time: Monday, August 10, 2020
6:30 p.m. ‐ 8:30 p.m.
Speaker: Steven Medeot
Organizers: IEEE Ryerson Computational Intelligence Chapter, IEEE Toronto WIE
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi
Abstract: Our interactive workshop welcomes new and experienced programmers who are interested in 2D game development. This event hosted by IEEE Ryerson Computational Intelligence Chapter is sponsored by IEEE WIE and will provide the building blocks and best practices in developing a 2D level game including, creating a player, creating enemies, game loops, animations, and more! All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a friendly competition with small prizes at the end of the workshop series.
Session 3 teaches the concept of game loops and scenes.
Register: https://forms.gle/VvZW3oeZ81UCtgnX7
Biography: Steven Medeot is a 3rd-year Computer Science Student at Ryerson University. He has a background in Game Development, who completed the Game Programming curriculum at George Brown College with a few years of experience working in this industry and enjoys developing his own games on the side. He strongly believes that creating a game that people can find joy in is a wonderful experience and wants to share some of the basic knowledge he has learned throughout the years.

2D Game Development in Unity with C# - Session 2
2020-08-03 18:30 - 20:30 (America/Toronto) | Online via Zoom
On Monday, August 3, 2020 at 6:30 p.m., IEEE Ryerson Computational Intelligence Chapter will be hosting “2D Game Development in Unity with C# – Session 2”.
Day & Time: Monday, August 3, 2020
6:30 p.m. ‐ 8:30 p.m.
Speaker: Steven Medeot
Organizers: IEEE Ryerson Computational Intelligence Chapter, IEEE Toronto WIE
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi
Abstract: Our interactive workshop welcomes new and experienced programmers who are interested in 2D game development. This event hosted by IEEE Ryerson Computational Intelligence Chapter is sponsored by IEEE WIE and will provide the building blocks and best practices in developing a 2D level game including, creating a player, creating enemies, game loops, animations, and more! All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a friendly competition with small prizes at the end of the workshop series.
Session 2 of the 2D Game Development workshop series explores interfaces and interactability.
Register: https://forms.gle/VvZW3oeZ81UCtgnX7
Biography: Steven Medeot is a 3rd-year Computer Science Student at Ryerson University. He has a background in Game Development, who completed the Game Programming curriculum at George Brown College with a few years of experience working in this industry and enjoys developing his own games on the side. He strongly believes that creating a game that people can find joy in is a wonderful experience and wants to share some of the basic knowledge he has learned throughout the years.

Measurement, Control and Protection in Smart Grid Energy Management Systems for Smart Buildings in a Smart City
2020-07-30 18:30 - 19:30 (America/Toronto) | Toronto, Ontario Canada
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).
Day & Time: Thursday, July 30, 2020
6:30 p.m. ‐ 7:30 p.m.
Speaker: Prof. Saifur Rahman
Organizers: 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
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi
Abstract: 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.
Register: https://events.vtools.ieee.org/m/236481
Biography: 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.
He 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.

Introduction to NLP for Classification Task – Session 4
2020-07-29 18:00 - 20:00 (America/Toronto) | Online via Zoom Toronto, Ontario Canada
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”.
Day & Time: Wednesday, July 29, 2020
6:00 p.m. ‐ 8:00 p.m.
Organizers: IEEE Toronto WIE, Computational Intelligence Society, IM/RA Society
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi, Younes Sadat Nejad
Abstract: 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.
Our main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks.
In this session, we will be focusing on RNN and LSTM.
Register: Please visit https://events.vtools.ieee.org/m/236479 or https://events.vtools.ieee.org/m/236480 for more details and to register.

2D Game Development in Unity with C# - Session 1
2020-07-27 18:30 - 20:30 (America/Toronto) | Online via Zoom
On Monday, July 27, 2020 at 6:30 p.m., IEEE Ryerson Computational Intelligence Chapter will be hosting “2D Game Development in Unity with C# – Session 1”.
Day & Time: Monday, July 27, 2020
6:30 p.m. ‐ 8:30 p.m.
Speaker: Steven Medeot
Organizers: IEEE Ryerson Computational Intelligence Chapter, IEEE Toronto WIE
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi
Abstract: Our interactive workshop welcomes new and experienced programmers who are interested in 2D game development. This event hosted by IEEE Ryerson Computational Intelligence Chapter is sponsored by IEEE WIE and will provide the building blocks and best practices in developing a 2D level game including, creating a player, creating enemies, game loops, animations, and more! All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a friendly competition with small prizes at the end of the workshop series.
In our first session, we will review basic programming concepts, object-oriented programming, and introduce best practices working with C# in the Unity environment.
Register: https://forms.gle/VvZW3oeZ81UCtgnX7
Biography: Steven Medeot is a 3rd-year Computer Science Student at Ryerson University. He has a background in Game Development, who completed the Game Programming curriculum at George Brown College with a few years of experience working in this industry and enjoys developing his own games on the side. He strongly believes that creating a game that people can find joy in is a wonderful experience and wants to share some of the basic knowledge he has learned throughout the years.

Advanced Topics on Scalable Deployment of Machine Learning and Drone-Based Search and Rescue
2020-07-23 13:00 - 15:30 (America/Toronto) | Online via Zoom Toronto, Ontario Canada
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”.
Day & Time: Thursday, July 23, 2020
1:00 p.m. – 4:00 p.m.
Speakers: Dalia Hanna, Mujahid Sultan

Organizers: IEEE Toronto WIE, IEEE IM/RA, Ryerson CS Graduate Student Council, IEEE Ryerson Computational Intelligence Chapter, Ryerson CSCU
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi
Title: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia
Abstract: 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.

Title: How to build and deploy machine learning models in the scalable cloud
Abstract: 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.
Agenda: Interested students who want to build along with me, can bring their laptop with MobaXterm installed and we can do the following together.

login to a cloud environment (I will provide the cloud login credentials during the presentation)
create a virtual environment for development
build a semantic search engineby pulling libraries from the net
pick a visualization and presentation method from D3JS
develop an application using MVC pattern like the flask
wrap the application in a docker container
install scalable web engine like NGINX
host it to the cloud (azure)
provide secure access with a username and password to anyone on the internet

This presentation will expose the tools required to build scalable machine learning applications in the cloud.

Registration: Please visit https://forms.gle/7ZoimYgVjjpC9mag8 to register.
Biographies:
Dalia Hanna
Topic: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia
Dalia 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.
Mujahid Sultan
Topic: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia
Mujahid 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.
He 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
Areas 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.
Skills: 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).
Platform 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).

Introduction to NLP for Classification Task - Session 2
2020-07-15 18:00 - 20:00 (America/Toronto) | Online via Zoom
Recorded Material:
Video: https://drive.google.com/file/d/1gBUK_NtU3kSNblsGaYouLHyfDHlxr1tt/view
PowerPoint: 2.IntroductiontoNLP,Kagle
On 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”.
Day & Time: Wednesday, July 15, 2020
6:00 p.m. ‐ 8:00 p.m.
Organizers: IEEE Toronto WIE, Computational Intelligence Society
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi, Younes Sadat Nejad
Abstract: 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.
Our main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks.
In 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.
Register: Please visit https://events.vtools.ieee.org/m/235444 or https://events.vtools.ieee.org/m/235447 for more details and to register.

TORONTO COMSOC SUMMER TALKS: Integrated Access and Backhaul for 5G and Beyond
2020-07-09 12:00 - 13:00 (America/Toronto)
The IEEE Toronto ComSoc Chapter is thrilled to continue its Summer Talks Series hosting Dr. Behrooz Makki, a Senior Researcher in Ericsson Research, Gothenburg, Sweden. In his talk, Dr. Makki will discuss integrated access and backhaul for 5G and beyond.
Day & Time: Thursday, July 9, 2020
12:00 p.m. ‐ 1:00 p.m.
Speaker: Dr. Behrooz Makki
Organizers: IEEE Communications Society Toronto Chapter
Location: Virtual – Zoom
Contact: IEEE ComSoc Toronto Chapter
Abstract: The number of devices requesting for wireless communications is growing exponentially. Network densification via the deployment of many base stations (BSs) of different types is one of the mechanisms that can be employed to satisfy the ever-increasing demand for bandwidth/capacity in wireless networks. However, deploying fiber to the small cells may be expensive and impractical when the number of small cells increases. For this reason, as well as because of the traffic jams and infrastructure displacements caused by fiber optic installation, millimeter wave (mmw)-based wireless backhaul is currently considered as an alternative, providing (almost) the same rate as fiber optic with significantly less price and no digging. With this background, integrated access and backhaul (IAB) networks, where the operator can utilize part of the radio resources for wireless backhauling, has recently received considerable attention. The purpose of IAB is to replace existing backhaul systems with flexible wireless backhaul using the existing 3GPP bands providing not only backhaul but also existing cellular services in the same node. This creates more flexibility and reduces the implementation cost. For 5G NR, IAB is currently considered as a work item in 3GPP, and it is known as one of the main novelties of 5G. In this talk, we review the main backhauling techniques, and present the main motivations/standardization agreements on IAB. Moreover, We present comparisons between the IAB networks and the cases where all or part of the small access points are fiber-connected. Finally, we study the robustness of IAB networks to environmental effects and verify the effect of the blockage, the tree foliage, the rain as well as the antenna height/gain on the coverage rate of IAB setups, as the key differences between the fiber-connected and IAB networks. As we show, IAB is an attractive setup enabling 5G and beyond.
Biography: Behrooz Makki received his PhD degree in Communication Engineering from Chalmers University of Technology, Gothenburg, Sweden. In 2013-2017, he was a Postdoc researcher at Chalmers University. Currently, he works as a senior researcher in Ericsson Research, Gothenburg, Sweden.

Behrooz is the recipient of the VR Research Link grant, Sweden, 2014, the Ericsson’s Research grant, Sweden, 2013, 2014 and 2015, the ICT SEED grant, Sweden, 2017, as well as the Wallenbergs research grant, Sweden, 2018. He is a Senior Member of IEEE since Aug. 2019. Also, Behrooz is the recipient of the IEEE best reviewer award, IEEE Transactions on Wireless Communications, 2018. Currently, he works as an Editor in IEEE Wireless Communications Letters, IEEE Communications Letters, the journal of Communications and Information Networks as well as the associate editor of Frontiers in Communications and Networks. He was a member of European Commission projects “mm-Wave based Mobile Radio Access Network for 5G Integrated Communications” and “ARTIST4G” as well as various national and international research collaborations. His current research interests include integrated access and backhaul, hybrid automatic repeat request, Green communications, millimeter wave communications, and backhauling. He has co-authored 57 journal papers, 45 conference papers and 40 patent applications.

Register: Please visit https://events.vtools.ieee.org/m/233754 for more details and to register.

Introduction to NLP for Classification Task – Session 1
2020-07-08 18:00 - 19:30 (America/Toronto)
Recorded Material:
Video: https://drive.google.com/file/d/1gBUK_NtU3kSNblsGaYouLHyfDHlxr1tt/view?usp=sharing
PowerPoint: 1-Intro to Python, Data Science Libraries, and Pytorch
On 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”.
Day & Time: Wednesday, July 8, 2020
6:00 p.m. ‐ 7:30 p.m.
Organizers: IEEE Toronto WIE, Computational Intelligence Society
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi, Younes Sadat Nejad
Abstract: 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.
Our 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.
Register: Please visit https://events.vtools.ieee.org/m/233944 or https://events.vtools.ieee.org/m/233942 for more details and to register.

Toronto ComSoc Summer Talks: A Career in Engineering, Past & Future Reflections
2020-06-18 18:00 - 19:00 (America/Toronto)
On Thursday, June 18, 2020 at 6:00 p.m., Dr. Thamir (Tom) Murad will be presenting “Toronto ComSoc Summer Talks: A Career in Engineering, Past & Future Reflections”.
Day & Time: Thursday, June 18, 2020
6:00 p.m. ‐ 7:00 p.m.
Speaker: Dr. Thamir (Tom) Murad, Ph.D., P.Eng.
Organizers: IEEE Toronto ComSoc Chapter
Location: Virtual – Zoom
Contact: IEEE Toronto ComSoc Chapter
Abstract: The IEEE Toronto ComSoc Chapter is thrilled to kick-off its Summer Talks Series hosting Dr. Tom Murad, the Vice Chair, Ontario Society of Professional Engineers “OSPE“ ‘s Board of Directors. Dr. Murad currently is the Country Lead for Engineering and Technology for Siemens Mobility. In this talk, we look forward to Dr. Murad as he shares his reflections on his career in engineering with insights into the future on how to remain relvant and combine passion with leadership.
Register: Please visit https://events.vtools.ieee.org/m/232207 for more details and to register.
Biography: Dr. Thamir (Tom) Murad, Ph.D., P.Eng.
Vice Chair, Ontario Society of Professional Engineers “OSPE“ ‘s Board of Directors
Tom has been a licensed engineer since 1998 and has extensive years of experience in the profession. He currently is the Country Lead for Engineering and Technology for Siemens Mobility, previously the founder and Head of Siemens Canada Engineering & Technology Academy (SCETA), as well as the Country Lead for Engineering, Technology and Academics for Siemens.
Tom has been a great advocate for the Engineering profession by sharing his experience and expertise with many committees and organizations’ Boards.
He is a member of the Ontario Government’s Post Secondary Education Quality Assessment board “ PEAQB “, the Ryerson University Faculty of Engineering Advisory Council, Humber College Applied Technologies Dean’s Board, PEO’s Experience Review Committee, Past chair of the IEEE -Toronto Section’s Executive Committee, and the Past Chair of Halton Champions of Innovation Round Table.
Dr. Murad also has been a member of the Board of Directors for IEEE Canada, the German Canadian Centre for Innovation & Research, the Green Centre Canada, and Fielding Environmental. His contributions to the profession have been recognized by PEO, which gave him the Order of Honour, and he was also named a Fellow of Engineers Canada.
Most Recently, He has been awarded the IEEE Canada J.M. Ham Outstanding Engineering Educator Award in 2019, OPEA (Joint PEO and OSPE) Best Engineering Achievement Award in 2017, and the Ontario Chamber of Commerce Golden Award for Best Skill Enhancement Project in 2016 .
Tom has a Bachelor of Science in Electrical and Electronic Engineering, as well as a Ph.D. of Engineering, specializing in Power Electronics & Industrial Controls from Loughborough University of Technology in the U.K.
Tom’s Passion has been always in Engineering Skills development , and he is Nationally recognised and awarded as a visionary and an Advocate for Innovative approach to work Integrated Learning and Education programs.

WIE Electronics session
2020-06-12 17:00 - 18:00 (America/New_York)
The workshop was to learn how to use virtual instruments in multisim, as a way of learning how to use lab equipment, followed by a discussion of an oscillator circuit, built and demonstrated in multisim.

Day & Time: Friday, June 12, 2020
5:00 p.m. – 6:00 p.m.
Speaker: Brandeen McDonald

Professor, School of Applied Technology at Humber College Institution of Technology and Advance LearningOrganizers: IEEE Toronto WIE, Humber Student Branch
Location: Virtual – Zoom
Contact: Ayda Naserialiabadi

Programming Session Online
2020-05-15 17:00 - 20:30 (America/New_York)
Programming Sessions start for the Summer of 2020 via ZOOM.

Day & Time: Friday, May 15, 2020
5:00 p.m. – 8:30 p.m.
Speaker: Brandeen McDonald
Organizers: IEEE Toronto WIE, Humber Student Branch
Location: Virtual – Zoom
Contact: Maryam Davoudpour

Webinar: Rotating Machine Stator Winding Insulation Failure Processes
2020-05-14 13:00 - 14:30 (America/Toronto)
On Thursday, May 14, 2020 at 1:00 p.m., Dr. Greg Stone will be presenting “Rotating Machine Stator Winding Insulation Failure Processes”.
Day & Time: Thursday, May 14, 2020
1:00 p.m. ‐ 2:30 p.m.
Speaker: Dr. Greg Stone of Qualitrol
Organizers: IEEE DEI Ontario Chapter
Location: Virtual – Webinar
Contact: Ali Naderian, DEIS Toronto Chapter
Abstract: The electrical insulation used in motors and generators rated 3.3 kV and above is made from mica tapes bonded together with epoxy. The stator winding insulation is the one of the most common reasons for machine failure, and the most common reason for motor and generator maintenance. The insulation normally fails due to gradual aging of the insulation by thermal, mechanical, and electrical stresses in combination with contamination. This lecture will discuss the main insulation aging and failure mechanism both of conventional 60 Hz machines, as well as motors and wind turbine generators connected to voltage source PWM inverters.
Register: RSVP is required for this event. Please visit https://events.vtools.ieee.org/m/229820 for more details and to register.
Biography: Dr. Stone took his degrees from the University of Waterloo, Canada in 1975 (BSEE) and in 1991 (PhD). He began his career as an engineer working at Ontario Hydro’s Research Division. In time, he was responsible for the testing of the 1200 large motors and generators in Ontario Hydro’s system. Later Dr. Stone became one of the developers of on-line partial discharge test methods to evaluate the condition of the high voltage insulation in stator windings, used on most large generators and many large motors in North America, and now widely used around the world. Since 1990, he has been employed at Iris Power LP in Toronto Canada, a company he helped to form as a co-founder.
Dr. Stone has published over 150 technical papers and has been awarded three patents concerned with rotating machine maintenance and testing. He has published two books, the latest, Electrical Insulation for Rotating Machines – Design Evaluation, Aging, Testing and Repair.
An IEEE Fellow, Dr. Stone has chaired several IEEE committees responsible for creating standards for evaluation and testing of rotating machines. He is past President of the IEEE Dielectrics and Electrical Insulation Society, and continues to be active on many other IEEE committees. Other awards include the IEEE Forster Distinguished Service Award and the IEEE Third Millennium Medal. Dr. Stone is also a Fellow of the Engineering Institute of Canada. He is a registered professional engineer in Ontario.

Women in Engineering Winter 2020 Session #6
2020-03-10 14:20 - 15:20 (America/New_York)
In this session we are going to learn how to derive Flora-wearable electronic platform which we are going to use in dress.

Day & Time: Tuesday, March 10, 2020
2:20 p.m. – 3:20 p.m.
Organizers: IEEE Toronto WIE, Humber Student Branch
Location: Humber College North Campus, Room F307
Contact: IEEE Humber

Automotive Radar – A Signal Processing Perspective on Current Technology and Future Systems
2020-03-05 16:00 - 17:00 (America/Toronto) | Bahen Centre, Room BA 1180 University of Toronto – St. George Campus 40 St George St, Toronto, ON M5S 2E4
Thursday March 5th, 2020 at 4:00 p.m. Dr. Markus Gardill, IEEE Distinguished Microwave Lecturer, will be presenting an IEEE Distinguished Lecture “Automotive Radar – A Signal Processing Perspective on Current Technology and Future Systems”.
Day & Time: Thursday March 5th, 2020
4:00 p.m. ‐ 5:00 p.m.
Speaker: Dr. Markus Gardill
IEEE Distinguished Microwave Lecturer
Organizers: IEEE Toronto Electromagnetics & Radiation Chapter
Location: Bahen Centre, Room BA 1180
University of Toronto – St. George Campus
40 St George St, Toronto, ON M5S 2E4
Contact: George V. Eleftheriades, FRSC, FIEEE
Abstract: Radar systems are a key technology of modern vehicle safety & comfort systems. Without doubt it will only be the symbiosis of Radar, Lidar and camera-based sensor systems which can enable advanced autonomous driving functions soon. Several next generation car models are such announced to have up to 10 radar sensors per vehicle, allowing for the generation of a radar-based 360° surround view necessary for advanced driver assistance as well as semi-autonomous operation. Hence the demand from the automotive industry for high-precision, multi-functional radar systems is higher than ever before, and the increased requirements on functionality and sensor capabilities lead to research and development activities in the field of automotive radar systems in both industry and academic worlds.
Current automotive radar technology is almost exclusively based on the principle of frequency-modulated continuous-wave (FMCW) radar, which has been well known for several decades. However, together with an increase of hardware capabilities such as higher carrier frequencies, modulation bandwidths and ramp slopes, as well as a scaling up of simultaneously utilized transmit and receive channels with independent modulation features, new degrees of freedom have been added to traditional FMCW radar system design and signal processing. The anticipated presentation will accordingly introduce the topic with a review on the fundamentals of radar and FMCW radar. After introducing the system architecture of traditional and modern automotive FMCW radar sensors, with e.g. insights into the concepts of distributed or centralized processing and sensor data fusion, the presentation will dive into the details of fast-chirp FMCW processing – the modulation mode which is used by the vast majority of current automotive FMCW radar systems. Starting with the fundamentals of target range and velocity estimation based on the radar data matrix, the spatial dimension available using modern single-input multiple-output (SIMO) and multiple-input multiple-output (MIMO) radar systems will be introduced and radar processing based on the radar data cube is discussed. Of interest is the topic of angular resolution – one of the key drawbacks which e.g. render Lidar systems superior to radar in some situations. Consequently, traditional and modern methods for direction of arrival estimation in FMCW radar systems are presented, starting from traditional monopulse-like algorithms to modern frameworks for superresolution DoA estimation. The presentation will then introduce the great challenge of FMCW radar system interference. While FMCW radar interference is a challenge which can be handled using adaptive signal processing in today’s systems, it will become a severe problem with the increasing number of radar-sensors equipped vehicles in dense traffic situations in the near future and a solution to the expected increase in interference is still an open question.
It is this problem of interference, together with some added functionality, which motivated the proposal of alternative radar waveforms such as pseudo-random or orthogonal-frequency division multiplexing (OFDM) radar for automotive radar systems. Although not yet of great interest from an industrial perspective, the fundamentals and capabilities of both technologies will be introduced in the remainder of the anticipated presentation.
Biography:
Markus Gardill (S’11-M’15) was born in Bamberg, Germany in 1985.
He received the Dipl.-Ing. and Dr.-Ing. degree in systems of information and multimedia technology/electrical engineering from the Friedrich-Alexander-University Erlangen-Nürnberg, Germany, in 2010 and 2015, respectively.
In 2010, he joined the Institute for Electronics Engineering at the Friedrich-Alexander-University Erlangen-Nürnberg as a research assistant and teaching fellow.
From 2014 to 2015 he was head of the team Radio Communication Technology.
In late 2015 he joined the Robert Bosch GmbH as an R&D engineer for optical and imaging metrology systems and leading the cluster of non-destructive testing for the international production network.
In 2016 he joined the automotive radar business segment of InnoSenT GmbH, where he is currently head of the group radar signal processing & tracking.
His main research interest include radar and communication systems, antenna (array) design, and signal processing algorithms. His particular interest is spatio-temporal processing such as e.g. beamforming and direction-of-arrival estimation with a focus on combining the worlds of signal processing and microwave/electromagnetics.
Dr. Gardill is an IEEE Young Professional. He is member of the IEEE Microwave Theory and Techniques Society (IEEE MTT-S) and currently serves as co-chair of the IEEE MTT-S Technical Committee Digital Signal Processing (MTT-9).
He regularly acts as reviewer and TPRC member for several journals and conferences, will act as associate editor of the Transactions on Microwave Theory and Techniques beginning with 2020 and serves as Distinguished Microwave Lecturer (DML) for the DML term 2018-2020 with a presentation focussing automotive radar systems.

Women in Engineering Winter 2020 Session #5
2020-02-11 14:20 - 15:20 (America/New_York)
Preparing the algorithm to write the code for the upper pattern of the dress.

Day & Time: Tuesday, February 11, 2020
2:20 p.m. – 3:20 p.m.
Organizers: IEEE Toronto WIE, Humber Student Branch
Location: Humber College North Campus, Room F307
Contact: IEEE Humber

Medical Applications of Microwaves
2020-02-07 15:00 - 16:00 (America/Toronto) | Bahen Centre for Information Technology – Room 2135, 40 St George street Toronto, Ontario Canada M5S 2E4
Friday, February 7, 2020 Zoya Popovic, Distinguished Professor and Lockheed Martin Endowed Chair of Electrical Engineering at the University of Colorado, will be presenting “Medical Applications of Microwaves”.
Day & Time: Friday, February 7, 2020
3:00 p.m. ‐ 4:00 p.m.
Speakers: Zoya Popovic
Distinguished Professor
Lockheed Martin Endowed Chair of Electrical Engineering, University of Colorado
Organizers: IEEE Toronto Electromagnetics & Radiation Chapter
Location: Bahen Centre for Information Technology – Room 2135
40 St George street
Toronto, Ontario
Canada M5S 2E4
Register: https://meetings.vtools.ieee.org/m/219067
Contact: Prof. Costas Sarris
Abstract: This talk will first present a brief overview of the activities in the microwave group at the University of Colorado, Boulder, following a discussion on two topics that use microwave techniques for medical applications: (1) design of exciters and bore for human-sized 10.5-T MRI machines; and (2) a study of near-field radiometry for internal temperature measurements of the human body. The focus of the first topic is design of cavity and probes for improving uniformity of the circularly-polarized B-field inside phantoms for high-field travelling-wave MRI imagers.
The phenomenology of high-field imaging and its resulting challenges will be highlighted, followed by simulation and experimental data using a research Siemens instrument. Although MRI can be used for measuring internal body temperature, it is expensive, large and slow. Radiometry is shown to be a feasible method for implementing a portable or even wearable microwave thermometer.
One of the possible frequencies of operation is the 1.4 GHz quiet band, which is appropriate for centimeter penetration into tissues with minimized radio-frequency interference (RFI). The total blackbody power from a tissue stack is received by a probe placed on the skin, designed to receive a high percentage of the total power from a buried tissue layer. Temperature retrieval for sub-surface tissue layers is performed using near-field weighting functions, obtained by full-wave simulations with known tissue complex electrical parameters.
Measurements are presented using a calibrated Dicke radiometer at 1.4GHz for various phantom tissues. It is shown that temperature can be tracked within a fraction of a degree for a phantom muscle tissue layer under phantom fat and skin layers.
Biography: Zoya Popovic is a Distinguished Professor and the Lockheed Martin Endowed Chair of Electrical Engineering at the University of Colorado. She obtained her Dipl.Ing. degree at the University of Belgrade, Serbia, and her Ph.D. at Caltech. In 2001/03 and 2014, she was a Visiting Professor with the Technical University of Munich, Germany and ISAE in Toulouse, France, respectively. She was a Chair of Excellence at Carlos III University in Madrid in 2018-19. She has graduated 60 PhDs and currently advises 14 doctoral students in various areas of microwave engineering. She is a Fellow of the IEEE and the recipient of two IEEE MTT Microwave Prizes for best journal papers, the White House NSF Presidential Faculty Fellow award, the URSI Issac Koga Gold Medal, the ASEE/HP Terman Medal and the German Humboldt Research Award. She was named IEEE MTT Distinguished Educator in 2013 and the University of Colorado Distinguished Research Lecturer in 2015. She has a husband physicist and three daughters who can all solder.
