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.

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

Getting Started with Python
2020-08-17 10:00 - 11:00 | 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.

2D Game Development in Unity with C# - Session 4
2020-08-17 18:30 - 20:30 | 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.

Applied Data Science with pandas
2020-08-18 10:00 - 11:00 | 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.

An Introduction to Django Web Development with Python
2020-08-19 10:00 - 11:00 | 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.

2D Game Development in Unity with C# - Session 5
2020-08-24 18:30 - 20:30 | 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.

MAC Protocol Design for IoT Applications
2020-08-25 19:00 - 20:00 | 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.

Electrical safety, Ground Fault monitoring for Electric Vehicles and Charging Stations
2020-09-02 13:00 - 14:00
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.

How to Start an App Idea Today that Gets Customers!
2020-09-03 18:00 - 19:00
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!”.

Multi-Terminal HVDC Offshore Networks: Latest European Experience in Circuit Breaker Technology
2020-09-09 11:00 - 12:00
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.

API Economy: Managing Security and Compliance Risks at Academia
2020-09-10 11:00 - 12:00
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.

The Digital Utility - From AI, AR, MR to Blockchain platforms to support P2P
2020-09-21 18:00 - 2020-09-24 21:00 | 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.

Career Night Series: Which Direction Should I Take with My Career?
2020-09-22 18:00 - 20:00
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.

Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network (TSN) Towards 6G
2020-09-30 09:00 - 10:00
On Wednesday, September 30, 2020 at 9:00 a.m., Shu Fu of Chongqing University, China will present “Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network (TSN) Towards 6G”.
Day & Time: Wednesday, September 20, 2020
9:00 a.m. – 10:00 a.m.
Speaker: Shu Fu of Chongqing University, China
Organizer: IEEE Toronto Vehicular Technology Chapter
Location: Virtual – Zoom
Contact: Lian Zhao
Abstract: Terrestrial-Satellite Network (TSN) is critical for achieving the integrated ground-air-space in 6G by its employment of flight equipments to increase space resource diversity. The employment of flight equipments and the equipped caching, computing, and communication (3C) resources lead to the problem of multi-resource co-allocation while challenging the objective of low delay, large throughput, and high energy efficiency. We focus on solving this problem in terms of the following aspects: firstly, we will build a Nash bargaining model to implement the 3C resource allocation to maximize the user fairness guaranteed throughput. Secondly, we will discuss about the optimization of the satellite-terrestrial allocation of the unmanned aerial vehicle (UAV) based relays. Moreover, for the weak coverage areas of the ground gateways, we will discuss the mobile co-allocation of multi-resource model for UAV-BS. Finally, we will consider the heterogeneous traffic data characteristics to build co-allocation of multi-resource models, based on which the low delay constrained inter-satellite relaying and routing mechanism and satellite-terrestrial store-and-forward mechanism with high energy efficiency will be achieved.
Register: Please visit https://events.vtools.ieee.org/m/240949 for the Zoom link.
Biography: Shu Fu received the Ph.D. degree in communication and information system from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2016. He joined the College of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China, as an Assistant Professor in 2016, and has been an Associate Professor since 2018.
He had been awarded twice “National Scholarship” during his PhD’s study. He was a visiting PhD student at University of Waterloo in 2014-2015; and a visiting professor at Ryerson University, Canada in 2019. He is a communication committee member of Chinese Institute of Electronics (CIE) Internet of Things Youth Specialist Group. He has published more than 30 IEEE journal papers and conference papers. His research interests include B5G network, UAV network, and terrestrial-satellite network, etc.

IEEE Day
2020-10-06 09:30 - 21:29
IEEE Toronto Section is inviting you to our VIRTUAL celebration of IEEE Day on Tuesday, October 6, 2020!

Day & Time: Tuesday, October 6, 2020
10:00 a.m. – 3:00 p.m.
Speakers: Dr. Rasheed Hussain, Dr. Melike Erol-Kantarci, Dr. Sahar Rahmani, Dr. Sarath Chandar, Dr. Haniyeh Yousefpour
Organizers: IEEE Toronto Section, IEEE Toronto WIE
Location: Virtual – Zoom
Contact: Dustin Dunwell, Maryam Davoudpour
Register: Please visit https://events.vtools.ieee.org/m/239738 for the Zoom link and to register.
Agenda:

10:00 a.m. – 11:00 a.m.
Panel
Moderator: Dr. Fatima Hussain
Dr. Melike Erol-Kantarci
Dr. Sahar Rahmani

11:00 a.m. – 12:00 p.m.
Keynote
Dr. Rasheed Hussain

12:00 p.m. – 1:00 p.m.
Break

1:00 p.m. – 2:00 p.m.
Tech Talk
Dr. Sarath Chandat, MILA

2:00 p.m. – 3:00 p.m.
Tech Talk
Dr. Haniyeh Yousefpour

Biographies:
Rasheed Hussain, PhD, SMIEEE
Topic: The Role of APIs in Connected and Autonomous Cars: A Case for Critical Applications

Rasheed Hussain is working as an Associate Professor and the Director of Institute of Information Security and Cyber-Physical Systems at Innopolis University, Innopolis, Russia. He is also the head of Networks and Blockchain Lab at Innopolis University and serves as an ACM Distinguished Speaker.
He is a senior member of IEEE, member ACM, and serves as an editorial board member for various journals including IEEE Access, IEEE Internet Initiative, Internet Technology Letters, Wiley, Cluster Computing, Springer, and serves as a reviewer for most of the IEEE transactions, Springer and Elsevier Journals. He also serves as technical program committee member and chair of various conferences such as IEEE VTC, IEEE VNC, IEEE Globecom, IEEE ICCVE, IEEE ICC, ICCCN, and so on. He is a certified trainer for Instructional Skills Workshop (ISW) and a recipient of Netherland’s University Teaching Qualification (Basis Kwalificatie Onderwijs, BKO). His research interests include Information Security and Privacy and particularly security and privacy issues in Vehicular Ad Hoc NETworks (VANETs), vehicular clouds, and vehicular social networking, applied cryptography, Internet of Things, Content-Centric Networking (CCN), cloud computing, API security, and blockchain. Currently he is working on the machine and deep learning for IoT security and API security.

Melike Erol-Kantarci, PhD., P.Eng., SMIEEE
Topic: AI-enabled wireless networks: Opportunities and Challenges Towards 6G

Melike Erol-Kantarci is Tier 2 Canada Research Chair in AI-enabled Next-Generation Wireless Networks and associate professor at the School of Electrical Engineering and Computer Science at the University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She has over 140 peer-reviewed publications which have been cited over 5000 times and she has an h-index of 37. She is selected to the 2019 list of “N2Women: Stars in Computer Networking and Communications”. She has received the IEEE Communication Society Best Tutorial Paper Award and the Best Editor Award of the IEEE Multimedia Communications Technical Committee in 2017, in addition to several other best paper awards. She is the co-editor of three books on smart grids and smart cities. She has delivered 40+ tutorials, plenary talks and seminars around the globe. She has acted as the general chair or technical program chair for many international IEEE conferences and workshops. Most recently, she is the TPC co-chair for IEEE CAMAD 2020, a symposium co-chair for IEEE Globecom 2020, and a track co-chair for IEEE SmartGridComm 2020. She is a senior member of the IEEE. Her main research interests are AI-enabled wireless networks, 5G and 6G wireless communications, smart grid, electric vehicles, Internet of things and wireless sensor networks.

Sahar Rahmani, PhD
Work Domain: Data scientist on digital/cyber crime detection

Dr. Sahar Rahmani is the Director of the Data Science team at the Global Cyber Security team at RBC. Her role involves leading a team of data scientists and machine learning engineers to provide AI solutions for detecting the ever-changing landscape of cyber/digital crime. She is responsible for implementing scalable real-time machine learning solutions for our stakeholders’ security related problems. Her team, also brings insight and analytics to RBC’s controls, and risks to help executives make data-driven strategic decisions. Her continuous encouragement and emphasizing on innovations in the application of AI/ML in digital risk, resulted in solving business problems in effective ways, creating multiple patents, and presenting multiple conference talks. She has a PhD in Astrophysics from the Western University, where she applied big data analysis and data science models on astronomical data.

PES Webinar: Developing the Utility Workforce of the Future - Managing Continuity and Change in Complex Times
2020-10-06 17:00 - 18:00
On Tuesday, October 6, 2020 at 5:00 p.m., Brad Cawn of Quanta Technology will present “PES Webinar: Developing the Utility Workforce of the Future – Managing Continuity and Change in Complex Times”.
Day & Time: Tuesday, October 6, 2020
5:00 p.m. – 6:00 p.m.
Speaker: Brad Cawn of Quanta Technology
Organizer: IEEE Toronto PES Chapter
Location: Virtual
Contact: Omid Alizadeh
Abstract: Building the utility of the future requires developing a workforce of the future, one that is responsive and agile in the face of continuous technological, operational, and cultural change.
Join us as we discuss how both the coronavirus and ongoing paradigmatic shifts are quickening the industry’s transformation process and how a multi-prong workforce development strategy can help your team and/organization keep pace with the speed of change.
In this webinar, Brad Cawn, a Senior Advisor with Quanta Technology, will make a presentation on:

the current state of the utility industry technical workforce, including the impact of recent and ongoing internal and external change factors.
potential directions for the industry’s workforce and workforce development
initial key activities and comprehensive actions to develop and sustain utility workforces of the future

Register: Please visit https://events.vtools.ieee.org/m/240561 to register.
Biography: Brad Cawn of Quanta Technology
Oversees Quanta Technology’s workforce development services, including training and curriculum development, workforce transformation, retention and recruitment initiatives, and other supports.
Author of multiple books/manuscripts on teaching and learning, including Ambitious Instruction (2020) and Ambitious Leadership (2016).
Teaches creativity and innovation coursework at DePaul University in Chicago.

Career Night Series: Writing an Effective CV
2020-10-06 18:00 - 20:00
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”.
Day & Time: Tuesday, October 6, 2020
6:00 p.m. – 8:00 p.m.
Organizers: IEEE Toronto WIE, IM/RA, Ryerson Computer Science
Location: Virtual
Contact: Wincy Li
Description: 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!
If you require any accessibility needs, please contact Camara Chambers at c.chambers@ryerson.ca.
Register: Please visit https://lnkd.in/gBaMf9y to register.

GPT-3 for Vision
2020-10-07 14:00 - 15:00
On Wednesday, October 7, 2020 at 2:00 p.m., Dr. Ehsan Kamalinejad will present “GPT-3 for Vision”.
Day & Time: Wednesday, October 7, 2020
2:00 p.m. – 3:00 p.m.
Speaker: Ehsan Kamalinejad, PhD
Co-Founder & CTO at Visual One
Associate Professor at Cal State East Bay University
Former Senior Machine Learning Scientist at Apple
San Francisco, USA
Organizer: IEEE Toronto Signal Processing Chapter
Location: Virtual – Click here for the Google Meets link.
Contact: Mehrnaz Shokrollahi
Abstract: Deep learning in computer vision (CV) has proved to be very effective in solving many problems in real world. However, while the raw number of researches done in standard CV problems (such as ImageNet
object classification/detection) has exploded, the measurable progress in these fields has slowed down. Additionally, there are many real-world problems in vision that are simply not compatible with the current approaches. This demands a new wave of problem statements in CV (and a new set of benchmarks). This talk focuses on one important set of such problem statements. We propose that many real-world problems in vision are “event recognition” problems. We introduce a concrete definition for the event recognition problem. We will see that this definition of event detection prohibits large sample sets. Hence, these events need to be recognize based on very few samples. We start by reviewing the current literature and we propose some promising directions for approaching this problem. At the end we show some demos from our recent effort on wrestling with this very challenging problem. Our solution can be best described by the “vision counterpart of GPT-3 few shot learner”.
Register: Please check back soon for the registration link.
Biography: Ehsan Kamalinejad (EK) is a senior machine learning engineer. He is currently working on Visual One which is a YCombinator backed startup he co-founded. Before that he was working for several years at
Apple and Amazon as a staff machine learning engineer. Ehsan holds a faculty position as an associate professor at Cal State East Bay University. He got his PhD from University of Toronto. He has more than 7 years of experience delivering machine learning products in computer vision and natural language processing. His current project, Visual One, is about bringing next level intelligence to surveillance cameras.

Microwaving a Biological Cell Alive ‒ Broadband Label-free Noninvasive Electrical Characterization of a Live Cell
2020-10-07 16:00 - 17:00
On Wednesday, October 7, 2020 at 4:00 p.m., Prof. James Hwang of Cornell University will present “Microwaving a Biological Cell Alive ‒ Broadband Label-free Noninvasive Electrical Characterization of a Live Cell”.
Day & Time: Wednesday, October 7, 2020
4:00 p.m. – 5:00 p.m.
Speaker: Prof. James Hwang of Cornell University
Organizer: IEEE Toronto Electromagnetics & Radiation Chapter
Location: Virtual – Zoom
Contact: George Eleftheriades
Abstract: Microwave is not just for cooking, smart cars, or mobile phones. We can take advantage of the wide electromagnetic spectrum to do wonderful things that are more vital to our lives. For example, microwave ablation of cancer tumor is already in wide use, and microwave remote monitoring of vital signs is becoming more important as the population ages.
This talk will focus on a biomedical use of microwave at the single-cell level. At low power, microwave can readily penetrate a cell membrane to interrogate what is inside a cell, without cooking it or otherwise hurting it. It is currently the fastest, most compact, and least costly way to tell whether a cell is alive or dead. On the other hand, at higher power but lower frequency, the electromagnetic signal can interact strongly with the cell membrane to drill temporary holes of nanometer size. The nanopores allow drugs to diffuse into the cell and, based on the reaction of the cell, individualized medicine can be developed and drug development can be sped up in general. Conversely, the nanopores allow strands of DNA molecules to be pulled out of the cell without killing it, which can speed up genetic engineering. Lastly, by changing both the power and frequency of the signal, we can have either positive or negative dielectrophoresis effects, which we have used to coerce a live cell to the examination table of Dr. Microwave, then usher it out after examination. These interesting uses of microwave and the resulted fundamental knowledge about biological cells will be explored in the talk.
Register: Please visit https://events.vtools.ieee.org/m/239462 to register.
Biography: James Hwang is Professor in the Department of Materials Science and Engineering at Cornell University. He graduated from the same department with a Ph.D. degree. After years of industrial experience at IBM, Bell Labs, GE, and GAIN, he spent most of his academic career at Lehigh University. He cofounded GAIN and QED; the latter became the public company IQE. Between 2011 and 2013, he was the Program Officer for GHz-THz Electronics at the U.S. Air Force Office of Scientific Research. He has been a visiting professor at Cornell University in the US, Marche Polytechnic University in Italy, Nanyang Technological University in Singapore, National Chiao Tung University in Taiwan, Shanghai Jiao Tong University, East China Normal University, and University of Science and Technology in China. He is an IEEE Life Fellow and a Distinguished Microwave Lecturer. He is also a Track Editor for the IEEE Transactions on Microwave Theory and Techniques. He has published more than 350 refereed technical papers and been granted eight U.S. patents. He has researched for decades on the design, modeling and characterization of optical, electronic, and micro- electromechanical devices and circuits. His current research interest focuses on electromagnetic sensors for individual biological cells, scanning microwave microscopy, and two-dimensional atomic-layered materials and devices.

Electronic commerce and business, the benefits and opportunities for online users and providers
2020-10-28 17:00 - 18:00
On Wednesday, October 28, 2020 at 5:00 p.m., Edmund Baumann will present “Electronic commerce and business, the benefits and opportunities for online users and providers”.
Day & Time: Wednesday, October 28, 2020
5:00 p.m. – 6:00 p.m.
Speaker: Edmund Baumann
Organizer: IEEE Toronto Section
Location: Virtual
Contact: Satish Saini
Abstract: E-commerce is very much top of mind in our current environment as organizations have put great effort in providing products and services with substantial online supply chains. This market is driven by customers who desire a minimum of physical contact between suppliers and themselves.
The presentation will cover the foundations of e-commerce from the technology and business points of view. The market impact of e-commerce continues to grow and the business creativity of entrepreneurs continues to deliver products and services that the market demands after their value proposition is understood by buyers. Current business statistics are provided. Examples of successful online business are highlighted.
Register: Please visit https://events.vtools.ieee.org/m/240871 to register.
Biography: Edmund Baumann (SMIEEE) holds a B.ScEE (1969) from Drexel University and an MBA (1984) from York University. He has 44 years of experience with various companies such as Rockwell, Atomic Energy of Canada, Tellabs, Motorola, Sprint, Humber College, University of Guelph-Humber. He teaches degree courses on Current Issues in Digital Business Management, New Product Management, E-Commerce, Digital Marketing, Business Information Systems, Consumer Behaviour, Marketing at Humber College and University of Guelph-Humber.

Python Project-based Workshop: How to build your own intelligent agent
2020-11-13 10:00 - 12:00
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”.
Day & Time: Friday, November 13, 2020
10:00 a.m. – 12:00 p.m.
Speaker: Enas Tarawneh
Organizers: IEEE Toronto WIE, IM/RA, York University WiCSE
Location: Virtual
Contact: Ayda Naserialiabadi
Abstract: 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:
a) Programming speech recognition.
b) Leveraging cloud-based resources such as speech-to-text, text-to-speech and AI querying to generate responses.
c) Connect these together to create a turn taking intelligent agent.
d) Customizing the voice used in these generated responses.
Register: Please click here to register.
Biography: 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.

IEEE Toronto Virtual AGM 2020
2020-11-13 18:00 - 20:00 | Toronto, Canada
The IEEE Toronto Section is happy to announce our first ever online IEEE Toronto section Annual General Meeting (AGM). Since we are not restricted to a limited number of physical participants, we are happy to open this even up to all IEEE Toronto members, as well as any guests who they would like to invite. Please feel free to pass this information along to any interested parties.
We will hear from the IEEE Toronto section, IEEE Canada, and IEEE Global representatives, as well as keynote speakers from local industry. Awards will be presented to oustanding contributors for the past year, and prizes will be available for all attendees. You must register for the event using the link on this page in order to qualify for prizes. Only IEEE members will be eligible for prizes.
Date: Friday, November 13, 2020
6:00 p.m. – 8:00 p.m.
Location: Virtual – WebEx
Register: Please visit https://events.vtools.ieee.org/m/241427 for the registration link and event link.
Agenda:

6:00pm: Introduction and online meeting details
6:05pm: Section Chair report from Ali Nabavi
6:15pm: IEEE Global update from Kathy Land
6:30pm: Prize draw
6:35pm: Keynote presentation from Dr. Inmar Givoni, Director of Engineering at Uber Advanced Technology Group, Toronto
7:05pm: IEEE Canada update from Maike Luiken
7:20pm: Keynote presentation from Dr. Martin Snelgrove, CTO at Untether AI
7:50pm: Awards presentation and prize draw

Keynote Speakers: Dr. Inmar Givoni, Dr. Martin Snelgrove
Topic: AI for Self-Driving Cars (Dr. Inmar Givoni)
At the Uber ATG R&D centre, we are working on advanced state-of-the-art models for solving a large range of problems in self driving – perception and prediction, motion planning, mapping and localization, sensor simulation, and more. All that work is publicly available through academic conferences and venues. In this talk I will cover some exciting recent advances and also discuss the path to production – how we go from research prototypes to deployed systems on vehicle.
Topic: Building Cool Silicon in the Frozen North (Dr. Matin Snelgrove)
Biographies:

Dr. Inmar Givoni
Inmar Givoni is a Director of Engineering at Uber Advanced Technology Group, Toronto, where she leads a team whose mission is to bring from research and into production cutting-edge deep-learning models for self-driving vehicles. She received her PhD (Computer Science) in 2011 from the University of Toronto, specializing in machine learning, and was a visiting scholar at the University of Cambridge. She worked at Microsoft Research, Altera (now Intel), Kobo, and Kindred at roles ranging from research scientist to VP, Big Data, applying machine learning techniques to various problem domains and taking concepts from research to production systems. She is an inventor of several patents and has authored numerous top-tier academic publications in the areas of machine learning, computer vision, and computational biology. She is a regular speaker at AI events, and is particularly interested in outreach activities for young women, encouraging them to choose technical career paths. For her volunteering efforts she has received the 2017 Arbor Award from UofT. In 2018 she was recognized as one of Canada’s 50 inspiring women in STEM and recently recognized as one of Canada’s Tech Titans: Top 19 of 2019.. She was featured in Marie Claire, Toronto Life, The Globe and Mail, TWIML & AI podcast, ReWork’s list of 30 influential women in Canadian AI, UofT’s News, and other media venues.
Dr. Martin Snelgrove

Martin is CTO of Untether AI, who have just announced their first product: a high-performance AI chip that puts Peta-operations per second onto a board. The magic to getting the massive computing power AI needs is to be very careful with the femtoJoules: you can only fit so many watts in a box, so you have to use them very carefully. It turns out that to do that you have to rethink John von Neumann’s 1947 computer architecture, and it turns out that understanding AI as a workload lets you do that. Martin was a professor at the University of Toronto, then had a Nortel/Mitel-supported industrial research chair at Carleton. Over 16 years of teaching he saw the vast majority of the students Canada paid for head straight down to California. So he moved over to the dark side, and has been in the founding team for three tech companies in Toronto; Soma, Kapik and now Untether. It turns out that because Canada produces great engineers, you can give them a great place to work by putting teams together. Top-grade talent likes working with top-grade talent.

Machine Learning and Digital Signal Processing Applications in Online Video Platforms
2020-11-20 14:30 - 16:00
On Friday, November 20, 2020 at 2:30 p.m., Mehrdad Fatourechi will present “Machine Learning and Digital Signal Processing Applications in Online Video Platforms”.
Day & Time: Friday, November 20, 2020
2:30 p.m. – 4:00 p.m.
Speaker: Mehrdad Fatourechi, PhD
Organizer: IEEE Signal Processing Chapter Toronto Section
Location: This event will be hosted on google meets
Meeting ID
meet.google.com/yej-opbp-uxo
Phone Numbers
(US)+1 617-675-4444
PIN: 974 200 026 6220#
Contact: Mehrnaz Shokrollahi
Abstract: In the past 15 years, we have seen exponential growth in online video platforms such as YouTube, Instagram, Netflix, TikTok, amongst others. In this talk, we will look at some of the challenges these platforms have been facing and how machine learning and digital signal processing are playing important roles in addressing these challenges. We will focus on discussing 3 areas:
1- Content discovery and SEO optimization
2- Establishing trust and safety, and
3- Protecting the rights of the content owners
We will also discuss some of the areas that are currently open for future research.
Register: Registration is not required.
Biography: Mehrdad is the VP of Engineering of BroadbandTV, a media-tech company that is advancing the world through the creation, distribution, management, and monetization of content. Mehrdad is currently responsible for managing the research and development (R&D) and IT departments. When he joined BBTV in March 2010, he was initially responsible for managing the research team, and then his role later expanded to lead the entire engineering department.
Under his leadership, BBTV’s tech team has become one of the leading and most innovative teams in digital video space, building several internal and external products (including VISO Catalyst, VISO Collab, VISO Prism, VISO NOVI, and VISO Mine) as well as filing several patents. Mehrdad has an in-depth knowledge of digital signal processing, machine learning, and pattern
recognition algorithms. He holds a PhD in Electrical Engineering from the University of British Columbia (UBC), where he was nominated for NSERC’s Doctoral Prize Award. He is an author on more than 30 journal and conference papers with a focus on pattern recognition, machine learning and intelligent algorithms. He previously held positions in the tech/education industry including roles as a research associate and sessional lecturer at UBC, as well as consulting with several companies (INETCO, BC Mining Research, and STC enterprises). He was the co-chair of the IEEE Signal Processing Chapter in Vancouver for two years.

Security of the Internet of Things (IoT): Are We Paranoid Enough?
2020-11-26 18:00 - 21:00
On Thursday, November 26, 2020 at 6:00 p.m., Swarup Bhunia will present “Security of the Internet of Things (IoT): Are We Paranoid Enough?”.
Day & Time: Thursday, November 26, 2020
6:00 p.m. – 9:00p.m.
Speaker: Swarup Bhunia of U. of Florida NSF SFS Program
Organizer: IEEE Toronto Computer Society
Location: Virtual – Since this will be a virtual event we will relay the connectivity information later to individual registrants on their email addresses.
Contact: Younas Abbas
Abstract: The session will help IoT enthusiasts understand the challenges of security implementation at the hardware level for modern electronic hardware.
Security has become a critical design challenge for modern electronic hardware. With the emergence of the Internet of Things (IoT) regime that promises exciting new applications from smart cities to connected autonomous vehicles, security has come to the forefront of the system-design process. Recent discoveries and reports on numerous security attacks on microchips and circuits violate the well-regarded concept of hardware trust anchors. It has prompted system designers to develop a wide array of design-for-security and test/validation solutions to achieve high-security assurance for electronic hardware, which supports the software stack. At the same time, emerging security issues and countermeasures have also led to interesting interplay between security, verification and interoperability. Verification of hardware for security and trust at different levels of abstraction is rapidly becoming an integral part of the system design flow. The global economic trend that promotes outsourcing of design and fabrication process to untrusted facilities coupled with the prevalent practice of system on chip design using untrusted third-party intellectual property blocks (IPs), has given rise to the critical need of trust verification of IPs, system-on-chip design, and fabricated chips.
The talk will also cover a spectrum of security challenges for IoTs and describe emerging solutions in creating secure trustworthy hardware that can enable IoT security for the mass.
Agenda:

6:00 PM: Virtual Registration and welcome remarks by session chair and vice chair
6:20 PM: Technical Session
8:20 PM: Q & A
8:50 PM: Closing

Register: Please visit https://events.vtools.ieee.org/m/240161 to register.
Biography: Swarup Bhunia received his B.E. (Hons.) from Jadavpur University, Kolkata, India, and the M.Tech. degree from the Indian Institute of Technology (IIT), Kharagpur. He received his Ph.D. from Purdue University, IN, USA, in 2005. Currently, Dr. Bhunia is a preeminence professor and Steven Yatauro Faculty Fellow in the department of Electrical and Computer Engineering at University of Florida, Gainesville, FL, USA. Earlier, Dr. Bhunia has served as the T. and A. Schroeder associate professor of Electrical Engineering and Computer Science at Case Western Reserve University, Cleveland, OH, USA. He has over twenty years of research and development experience with over 250 publications in peer-reviewed journals and premier conferences and ten edited or authored books (two upcoming) in the area of VLSI design, CAD and test techniques. His research interests include low power and robust design, hardware security and trust, adaptive nanocomputing and novel test methodologies. He has worked in the semiconductor industry on RTL synthesis, verification, and low power design for about three years. Dr. Bhunia received IEEE-CS TCVLSI Distinguished Research Award (2018), IBM Faculty Award (2013), National Science Foundation (NSF) career development award (2011), Semiconductor Research Corporation (SRC) technical excellence award (2005) as a team member, best paper award in ACM Transactions on Design Automation of Electronic Systems (TODAES 2017), best paper award in IEEE BioMedical Circuits and Systems Conference (BioCAS 2016), best paper award in International Conference on VLSI Design (VLSI Design 2012), best paper award in International Conference on Computer Design (ICCD 2004), best paper award in Latin American Test Workshop (LATW 2003), and best paper nomination in Asia and South Pacific Design Automation Conference (ASP-DAC 2006) and in Hardware Oriented Test and Security (HOST 2010), nomination for John S. Diekhoff Award, Case Western Reserve University (2010) and SRC Inventor Recognition Award (2009).
Dr. Bhunia has been serving as founding editor-in-chief in Journal of Hardware and Systems Security (HaSS), an associate editor of IEEE Transactions on CAD (TCAD), IEEE Transactions on Multi-Scale Computing Systems (TMSCS), ACM Journal of Emerging Technologies (JETC), and Journal of Low Power Electronics (JOLPE). He has served as a guest editor of IEEE Design & Test of Computers (2010, 2013), IEEE Computer Magazine (2016), IEEE Transcation on CAD (2015), and IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2014). He has served as co-program chair of IEEE IMS3TW 2011, IEEE NANOARCH 2013, IEEE VDAT 2014, and IEEE HOST 2015, and in the technical program committee of Design Automation Conference (2014-2015), Design Automation and Test in Europe (DATE 2006-2010), Hardware Oriented Trust and Security Symposium (HOST 2008-2010), IEEE/IFIP International Conference on VLSI (VLSI SOC 2008), Test Technology Educational Program (TTEP 2006-2008), International Symposium on Low Power Electronics and Design (ISLPED 2007-2008), IEEE/ACM Symposium on Nanoscale Architectures (NANOARCH 2007-2010), IEEE International Conference on VLSI (ISVLSI 2008-2010), International Conference of VLSI Design as a track chair (2010) and in the program committee of International Online Test Symposium (IOLTS 2005). Dr. Bhunia has given tutorials on low-power and robust design and test in premier conference including International Test Conferences (ITC 2009), VLSI Test Symposium (VTS 2010), and Design Automation and Test in Europe (DATE 2009). He is a distingusihed ACM speaker and a senior member of IEEE.
Lab Website | New Text Book

Python Project-based Workshop: How to track motion from bird eye multiple camera perspectives
2020-11-27 10:00 - 12:00
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”.
Day & Time: Friday, November 27, 2020
10:00 a.m. – 12:00 p.m.
Speaker: Enas Tarawneh
Organizers: IEEE Toronto WIE, IM/RA, York University WiCSE
Location: Virtual
Contact: Ayda Naserialiabadi
Abstract: 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:
a) Extracting frames from a camera, video or ROS bag and generating a image stream
b) Stitching the multiple bird eye views and calibrating to create one 2D image of the floor
c) Perform multiple image processing to extract motion
d) Create a motion map on the generated image of the floor.
Register: Please click here to register.
Biography: 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.

Nelson J. G. Fonseca, Dec. 08, 12 pm
2020-12-08 12:00 - 13:00 | Toronto, Ontario Canada
The U of T Student Chapter of the IEEE Antennas and Propagation Society (AP-S) (https://edu.ieee.org/ca-uotaps/) invites you to the following talk of our 2020-2021 seminar series:
“Quasi-Optical Antennas for Space Applications”, presented by the European Space Agency antenna engineer, Nelson J. G. Fonseca, on Tuesday, Dec. 08, 12 PM ET.
Day & Time: Tuesday, December 8, 2020
12:00 p.m. – 1:00 p.m.
Speaker: Nelson J. G. Fonseca
Organizer: U of T Student Chapter of the IEEE Antennas and Propagation Society (AP-S)
Location: Online (link will be provided to registrants)
Contact: Parinaz Naseri
Abstract: This presentation provides an overview of recent multiple beam lens antenna developments supported by the European Space Agency, for applications ranging from satcom payloads, to imaging systems and microwave instruments. There are also on-going transfer of technology activities for 5G terrestrial communication systems. The presentation will cover related developments on polarizers, providing polarization conversion as well as polarization selectivity for advanced antenna systems.
Register: Please visit https://events.vtools.ieee.org/m/250057 to register.
Biography: Nelson J. G. Fonseca (Senior Member, IEEE) received the M.Eng. degree from Ecole Nationale Supérieure d’Electrotechnique, Electronique, Informatique, Hydraulique et Telecommunications (ENSEEIHT), Toulouse, France, in 2003, the M.Sc. degree from the Ecole Polytechnique de Montreal, Quebec, Canada, also in 2003, and the Ph.D. degree from Institut National Polytechnique de Toulouse – Université de Toulouse, France, in 2010, all in electrical engineering.
Since 2009, he works in the Antenna and Sub-Millimetre Waves Section, European Space Agency (ESA), Noordwijk, The Netherlands. His current research interests include multiple beam antennas for space missions, beamformer theory and design, ground terminal antennas and novel manufacturing techniques. He has authored or co-authored more than 200 papers in peer-reviewed journals and conferences. He contributed to 25 technical innovations, protected by over 40 patents issued or pending.

Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System
2020-12-10 13:30 - 14:45
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”.
Day & Time: Thursday, December 10, 2020
1:30 p.m. – 2:45 p.m.
Speakers: Steven Delaney, Iwona Sokalska
Organizer: Ryerson CS Graduate Student Council, IEEE Toronto WIE, IM/RA
Location: Virtual
Contact: Ayda Naserialiabadi
Abstracts:
Title: Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System
Cost 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.
Title: Corda Blockchain as a Sustainable Supply Chain for Open Education:
Blockchain 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
Corda 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.
Register: Please visit https://events.vtools.ieee.org/m/246971 to register.
Biographies:
Steve Delaney

Steve 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.
Email: steven.delaney@ryerson.ca
Iwona Sokalska

Iwona 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.

Current and Future Trends in 5G/B5G/6G
2020-12-14 11:45 - 15:15 | Montreal, Quebec Canada
IEEE Young Professionals Affinity Groups of the Montreal Section, Ottawa Section, Toronto Section, Turkey Section, and the IEEE Vancouver Joint Communications Chapter bring bright minds from the flagship research groups across the globe to give the community technical lectures on cutting-edge areas in wireless communications. This event will cover broad arrays of topics along with fundamental research results targeting a variety of applications in 5G/B5G/6G.
Day & Time: Monday, December 14, 2020
11:45 a.m. – 3:15 p.m.
Speakers: Walid Saad, Mehdi Bennis, Halim Yanikomeroglu, Wei Yu, Vincent Wong
Organizers: IEEE Montreal Section YP, Vancouver Jt Chpt VT06/COM19/PHO36/BT02/IT12/ITS38, Ottawa Section YP, Turkey Section YP, Toronto Section YP
Location: Virtual
Contact & Register: Please visit https://events.vtools.ieee.org/m/241334 for contact information and to register.
Agenda:

11:45 PM – 12:00 PM
Opening and Welcome
Mansour Naslcheraghi, Chair of IEEE YP Montreal

12:00 PM – 12:30 PM
Talk
Walid Saad

12:30 PM – 12:35 PM
Q&A
Walid Saad

12:35 PM – 01:05 PM
Talk
Halim Yanikomeroglu

01:05 PM – 01:10 PM
Q&A
Halim Yanikomeroglu

01:10 PM – 01:40 PM
Talk
Vincent Wong

01:40 PM – 01:45 PM
Q&A
Vincent Wong

01:45 PM – 02:15 PM
Talk
Mehdi Bennis

02:15 PM – 02:20 PM
Q&A
Mehdi Bennis

02:20 PM – 02:50 PM
Talk
Wei Yu

02:50 PM – 02:55 PM
Q&A
Wei Yu

02:55 PM – 3:10 PM
Q&A
All speakers

Topics and Abstracts:
Walid Saad, ECE Department, Virginia Tech, Blacksburg, USA
Professor, Fellow of IEEE
Title: Can Terahertz Communications Provide High-Rate Highly Reliable Low Latency Communications in 6G Networks?
Abstract: Communication at high-frequency terahertz (THz) bands is seen as a staple of the sixth generation (6G) of wireless cellular networks, due to the large amount of available bandwidth. However, 6G systems will have to support, not only high data rates, but also highly reliable communication links for emerging applications such as advanced wireless virtual reality (VR) systems. In particular, advanced wireless VR applications will impose new visual and haptic requirements that are directly linked to the quality-of-experience (QoE) of VR users. These QoE requirements can only be met by wireless 6G connectivity that offers high-rate and high-reliability low latency communications (HRLLC), unlike the low rates usually considered in vanilla 5G ultra-reliable low latency communication scenarios. Guaranteeing HRLLC in THz-enabled 6G systems requires dealing with the uncertainty that is specific to the THz channel. Therefore, in this talk, after a brief overview on our vision of 6G systems, we will explore the potential of THz for meeting HRLLC requirements. In this regard, we first quantify the risk for an unreliable VR performance through a novel and rigorous characterization of the tail of the end-to-end (E2E) delay. Then, we perform a thorough analysis of the tail-value-at-risk (TVaR) to concretely characterize the behavior of extreme wireless events crucial to the real-time VR experience. We use this analysis to derive system reliability for scenarios with guaranteed line-of-sight (LoS) as a function of THz network parameters. We then present simulation results that show how abundant bandwidth and low molecular absorption are necessary to improve the reliability, although their effect remains secondary compared to the availability of LoS, which significantly affects the THz HRLLC performance. We conclude our talk with an overview on other key open problems in the realms of THz communications and 6G systems.
Halim Yanikomeroglu, ECE Department, Carleton University, Ottawa, ON, Canada
Professor, Fellow of IEEE, Fellow of Canadian Academy of Engineering, Fellow of Engineering Institute of Canada
Title: Wireless Access Architecture: The Next 20+ Years
Abstract: Communication at high-frequency terahertz (THz) bands is seen as a staple of the sixth generation (6G) of wireless cellular networks, due to the large amount of available bandwidth. However, 6G systems will have to support, not only high data rates, but also highly reliable communication links for emerging applications such as advanced wireless virtual reality (VR) systems. In particular, advanced wireless VR applications will impose new visual and haptic requirements that are directly linked to the quality-of-experience (QoE) of VR users. These QoE requirements can only be met by wireless 6G connectivity that offers high-rate and high-reliability low latency communications (HRLLC), unlike the low rates usually considered in vanilla 5G ultra-reliable low latency communication scenarios. Guaranteeing HRLLC in THz-enabled 6G systems requires dealing with the uncertainty that is specific to the THz channel. Therefore, in this talk, after a brief overview on our vision of 6G systems, we will explore the potential of THz for meeting HRLLC requirements. In this regard, we first quantify the risk for an unreliable VR performance through a novel and rigorous characterization of the tail of the end-to-end (E2E) delay. Then, we perform a thorough analysis of the tail-value-at-risk (TVaR) to concretely characterize the behavior of extreme wireless events crucial to the real-time VR experience. We use this analysis to derive system reliability for scenarios with guaranteed line-of-sight (LoS) as a function of THz network parameters. We then present simulation results that show how abundant bandwidth and low molecular absorption are necessary to improve the reliability, although their effect remains secondary compared to the availability of LoS, which significantly affects the THz HRLLC performance. We conclude our talk with an overview on other key open problems in the realms of THz communications and 6G systems.
Vincent Wong, ECE Department, University of British Columbia, Vancouver, BC, Canada
Professor, Fellow of IEEE
Title: Throughput Optimization for Grant-Free Multiple Access with Multiagent Deep Reinforcement Learning
Abstract: Grant-free multiple access (GFMA) is a promising paradigm to efficiently support uplink access of Internet of Things (IoT) devices. In this talk, we present a deep reinforcement learning (DRL)-based pilot sequence selection scheme for GFMA systems to mitigate potential pilot sequence collisions. We formulate a pilot sequence selection problem for aggregate throughput maximization in GFMA systems with specific throughput constraints as a Markov decision process (MDP). By exploiting multiagent DRL, we train deep neural networks (DNNs) to learn near-optimal pilot sequence selection policies from the transition history of the underlying MDP without requiring information exchange between the users. While the training process takes advantage of global information, we leverage the technique of factorization to ensure that the policies learned by the DNNs can be executed in a distributed manner. Simulation results show that the proposed scheme can achieve an average aggregate throughput that is close to the optimum, and has a better performance than several heuristic algorithms.
Mehdi Bennis, ECE Department, University of Oulu, Finland
Professor, IEEE Fellow
Abstract: This talk will break down the vision of wireless network edge intelligence at scale in terms of theoretical and algorithmic principles in addition to a number of applications in beyond 5G/6G.
Wei Yu, ECE Department, University of Toronto, Toronto, ON, Canada
Fellow of IEEE and a Fellow of Canadian Academy of Engineering
Title: Data-Driven Approaches to Wireless Communication System Design
Abstract: In this talk, I will illustrate how machine learning can significantly improve the design of wireless communication systems. I will draw examples from scheduling and power control problems for wireless cellular networks to show that a data-driven approach can circumvent the need for accurate channel estimation and provide near optimal solutions to system-level optimization problems in wireless system design. I will also show how deep neural network (DNN) can be used for efficient and distributed channel estimation, quantization, feedback, and multiuser precoding for massive MIMO systems, thereby providing an efficient solution to a distributed source coding problem. I will conclude by showing the benefit of data-driven design in term of robustness.
Biographies:

Walid Saad of Virginia Tech
Walid Saad received his Ph.D degree from the University of Oslo in 2010. He is currently a Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network sciEnce, Wireless, and Security (NEWS) laboratory. His research interests include wireless networks, machine learning, game theory, security, unmanned aerial vehicles, cyber-physical systems, and network science. Dr. Saad is a Fellow of the IEEE and an IEEE Distinguished Lecturer. He is also the recipient of the NSF CAREER award in 2013, the AFOSR summer faculty fellowship in 2014, and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author/co-author of nine conference best paper awards at WiOpt in 2009, ICIMP in 2010, IEEE WCNC in 2012, IEEE PIMRC in 2015, IEEE SmartGridComm in 2015, EuCNC in 2017, IEEE GLOBECOM in 2018, IFIP NTMS in 2019, and IEEE ICC in 2020. He is the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society, of the 2017 IEEE ComSoc Best Young Professional in Academia award, of the 2018 IEEE ComSoc Radio Communications Committee Early Achievement Award, and of the 2019 IEEE ComSoc Communication Theory Technical Committee. He was also a co-author of the 2019 IEEE Communications Society Young Author Best Paper. From 2015-2017, Dr. Saad was named the Stephen O. Lane Junior Faculty Fellow at Virginia Tech and, in 2017, he was named College of Engineering Faculty Fellow. He received the Dean’s award for Research Excellence from Virginia Tech in 2019. He currently serves as an editor for major IEEE Transactions.

Halim Yanikomeroglu
Dr. Halim Yanikomeroglu is a Professor in the Department of Systems and Computer Engineering at Carleton University, Canada. His extensive collaboration with industry on 4G & 5G wireless technologies resulted in 37 granted patents. During 2012-2016, he led one of the largest academic-industrial collaborative research programs on pre-standards 5G wireless. In Summer 2019, he started a new large-scale project on the 6G wireless network architecture. He supervised 26 PhD students (all completed with theses). He is a Fellow of IEEE, EIC (Engineering Institute of Canada), and CAE (Canadian Academy of Engineering), and a Distinguished Speaker for both IEEE Communications Society and IEEE Vehicular Technology Society. He served as the General Chair and Technical Program Chair of several major IEEE conferences; he also served in the Editorial Boards of several IEEE periodicals. He served as the Chair of IEEE Technical Committee on Personal Communications, and he is currently chairing the Steering Committee of IEEE’s flagship Wireless Communications and Networking Conference (WCNC). Dr. Yanikomeroglu received several awards for his research, teaching, and service, including the IEEE Wireless Communications Technical Committee Recognition Award in 2018 and the IEEE Vehicular Technology Society Stuart Meyer Memorial Award in 2020.

Vincent Wong
Vincent Wong is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia, Vancouver, Canada. His research areas include protocol design, optimization, and resource management of communication networks, with applications to the Internet, wireless networks, smart grid, fog computing, and Internet of Things. Currently, he is an executive editorial committee member of the IEEE Transactions on Wireless Communications, an Area Editor of the IEEE Transactions on Communications and IEEE Open Journal of the Communications Society, and an Associate Editor of the IEEE Transactions on Mobile Computing. Dr. Wong is a Fellow of the IEEE and an IEEE Communications Society Distinguished Lecturer (2019 – 2020).

Mehdi Bennis
Dr Mehdi Bennis is an Associate Professor at the Centre for Wireless Communications, University of Oulu, Finland, Academy of Finland Research Fellow and head of the intelligent connectivity and networks/systems group (ICON). His main research interests are in radio resource management, heterogeneous networks, game theory and distributed machine learning in 5G networks and beyond. He has published more than 200 research papers in international conferences, journals and book chapters. He has been the recipient of several prestigious awards including the 2015 Fred W. Ellersick Prize from the IEEE Communications Society, the 2016 Best Tutorial Prize from the IEEE Communications Society, the 2017 EURASIP Best paper Award for the Journal of Wireless Communications and Networks, the all-University of Oulu award for research and the 2019 IEEE ComSoc Radio Communications Committee Early Achievement Award. Dr Bennis is an editor of IEEE TCOM and Specialty Chief Editor for Data Science for Communications in the Frontiers in Communications and Networks journal.

Wei Yu
Wei Yu received the B.A.Sc. degree in Computer Engineering and Mathematics from the University of Waterloo, Waterloo, Ontario, Canada in 1997 and M.S. and Ph.D. degrees in Electrical Engineering from Stanford University, Stanford, CA, in 1998 and 2002, respectively. Since 2002, he has been with the Electrical and Computer Engineering Department at the University of Toronto, Toronto, Ontario, Canada, where he is now Professor and holds a Canada Research Chair (Tier 1) in Information Theory and Wireless Communications. Prof. Wei Yu is a Fellow of the Canadian Academy of Engineering, and a member of the College of New Scholars, Artists and Scientists of the Royal Society of Canada. Prof. Wei Yu was an IEEE Communications Society Distinguished Lecturer in 2015-16. He received the Steacie Memorial Fellowship in 2015, the IEEE Marconi Prize Paper Award in Wireless Communications in 2019, the IEEE Communications Society Award for Advances in Communication in 2019, the IEEE Signal Processing Society Best Paper Award in 2017 and 2008, the Journal of Communications and Networks Best Paper Award in 2017, and the IEEE Communications Society Best Tutorial Paper Award in 2015. Professor Wei Yu currently serves as Vice President of the IEEE Information Theory Society (ITSoc) and is the President-elect of the ITSoc for 2021.

Recent Developments in the Design of Charging Systems for Electric Vehicles
2020-12-18 18:30 - 19:30 | Toronto, Canada
Dr. Mohamed Z. Youssef Ph.D, Associate Professor University of Ontario, UOIT, will present and discuss application of bidirectional power distribution and charging system for electric type vehicles.
Day & Time: Friday, December 18, 2020
6:30 p.m. – 7:30 p.m.
Speaker: Mohamed Z. Youssef of University of Ontario Institute of Technology
Organizer: IEEE Toronto Section IES
Location: Virtual – Google Meet
Contact: Mohamed Youssef
Topic: Rail Technology Forum: Electric Vehicle Infra Structure
Technology Synopsis: Electric vehicles are a rapidly growing segment of transportation industry owning much of this progress to the improved technologies, public inclination towards minimizing carbon footprint, and government policy initiatives. Currently this industry is undergoing a technological transformation by investing heavily in charging stations infrastructure to improve the vehicle travel range. The charging station market is segmented on the basis of type, end user, and geography. This presentation discusses an integrated fast charging system that connects electric vehicles (VE), power grid, off-grid energy storage and renewable energy sources into one distributed system through a smart management of power and available energy, to enable clean, sustainable operation at high levels of performance. The experimental results of a lab prototype for electric vehicles (buses) are presented. A design case of electric bus deployed for the city of Mississauga is developed and demonstrated with excellent trial run results.
Register: Please visit https://events.vtools.ieee.org/m/250263 to register.
