Visualization Techniques in Text Summarization of Online Transcripts – Students’ Research in ML and DL at Durham College
2022-05-12 16:00 - 17:00 (America/New_York) | Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/313207
Text summarization is a method for generating a summary of long texts by focusing on the sections that contain essential information while keeping the overall meaning intact. Its goal is to reduce the size of long documents, which would be difficult and expensive to process manually. With the current explosion of data circulating in digital space, particularly unstructured textual data, there is a need to build tools that allow people to extract insights from it. Taking notes is a popular practice for many people employed in situations where it is essential to keep track of what is said, such as during an online lecture. The art of note-taking does not entail taking down every single word stated but rather broad summaries of what is covered. Making succinct yet informative summaries is the key to successful note-taking. In this seminar, we will be discussing how we have used visualization and data storytelling techniques in our project to make informed decisions. This project aims to address the difficulties of note-taking by building an application that produces notes based on the transcripts generated by the Automatic Speech Recognition (ASR) technology of the meeting platforms. We relied on visualization concepts for three major decisions that would define our project as a whole. These decisions are the choice of online meeting platform, preference of text summarization model and the messaging platform choice.
Speaker(s): Manoj Varma Alluri, Navaneeth Jawahar, Sharath Kumar Prabhu, Jeel Jani
Register: https://events.vtools.ieee.org/m/313207

Fraud Data Analysis & Exploration using Interactive Tableau Dashboard – Students’ Research in ML and DL at Durham College
2022-05-12 14:00 - 15:00 (America/New_York) | Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/313201
Credit card fraud detection is an ever-growing problem in today’s financial market with a rapid increase in plastic card usage worldwide. According to the Nelson report, by 2027, financial service providers are expected to take a $40 billion hit globally in credit card losses, a significant increase compared to previous years. Hence, data-driven decisions can largely help in mitigating that risk. We chose this topic to deep dive into different aspects of Fraud Data Analysis & Exploration using Interactive Tableau Dashboard. Tableau dashboards can be very powerful in driving data-driven decisions. We created an interactive dashboard to help stakeholders or less technical people to drive insights, understand data better, and help in business decisions making. The interactive feature helps users to add filters as per their needs and understand the data in a way they want to analyze. Our dashboard is dynamic and would be updated when several filters are applied together. Multiple filters can be added to multiple charts at the same time. These charts are intuitive which makes even new users easily interact and understand the data.
Speaker(s): Priyanka Singh & Devy Ratnasari
Register: https://events.vtools.ieee.org/m/313201

Alert on Mask Detection System – Students Research in ML and DL at Durham College
2022-05-07 18:00 - 19:00 (America/New_York) | Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/312341
As a result of the fast development and spread of the COVID-19 pandemic throughout the world, people’s everyday lives have been severely disrupted in recent times. One proposal for controlling the epidemic is to make individuals wear face masks in public. As a result, we require face detection systems that are both automated and efficient for such enforcement. We propose a face mask identification model for static and real-time videos in this research, and the pictures are classified as “with mask” or “without a mask.” The model uses a Kaggle dataset to train and test. The collected data set contains over 10,000 images (considering 5,000 with mask and similarly 5,000 without) and has a 98 percent performance accuracy rate. The proposed model is computationally efficient and precise compared to Haar-Cascade & ANN. The application of this research are various, including digitized scanning tool in schools, hospitals, banks, airports, and many other public or commercial locations.
Speaker(s): Henil Shah, Neenu Markose
Register: https://events.vtools.ieee.org/m/312341

Cancer Level Detection System – Students Research in ML and DL at Durham College
2022-05-06 18:00 - 19:00 (America/New_York) | Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/312340
Cancer ranks as a leading cause of death and an important barrier to increasing life expectancy everywhere. According to available data, lung cancer contributes the most to cancer deaths. Also, according to available data, those diagnosed early have a 50 percent chance of survival over those diagnosed with late-stage cancer. It means that early detection is paramount to the survival of a lung cancer patient, leading to a reduction in the number of cancer deaths. We, therefore, evaluated six different machine learning algorithms to see which one performed optimally in accurately predicting the level of lung cancer development in a patient. We considered various parameters when choosing the dataset for this evaluation as the pathogenesis of lung cancer involves a combination of intrinsic factors and exposure to environmental carcinogens. We also considered varying the features in our data, categorizing them under diagnostic risk factors (age, gender, alcohol use, air pollution, balanced diet, obesity, smoking, passive smoker) and symptoms (fatigue, weight loss, shortness of breath, swallowing difficulty, frequent cold, dry cough) and the inferences we drew from this indicated that those that have the symptom features prior to diagnosis had the highest chance of being diagnosed with a high level of cancer. The final results of our evaluation showed that the best levels of predictions on new data were achieved by optimized Random Forest, KNN, and SVM models.
Speakers: Rakesh Pattanayak, Chisom Nnabuisi, Dhruv Mistry, Kar Chun Kan, Shanuka Rathnayake
Register: https://events.vtools.ieee.org/m/312340

DDoS Detection System – Students Research in ML and DL at Durham College
2022-05-03 18:00 - 19:00 (America/New_York) | toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/312339
The research goal is to implement different machine learning algorithms to detect any DDoS (Distributed Denial of Service) attacks using the UNSW-NB15 dataset. We started by going through the data description and finding null values in our features. After that we dropped the ‘id’ column.
We have used the UNSW-15 dataset for AI-based DDOS detection systems.
The UNSW-15 dataset has a hybrid of the real modern normal and the contemporary synthesized attack activities of the network traffic. It contains different attacks, including DoS, worms, Backdoors etc. The raw network packets of the UNSW-NB 15 datasets are created by the IXIA Perfect Storm tool in the Cyber Range Lab of the Australian Centre for Cyber Security (ACCS) for generating a hybrid of real modern normal activities and synthetic contemporary attack behaviours. We incorporated different feature selection methods for dropping insignificant features followed by the implementation of 6 classification algorithms, namely Naive Bayes, Random Forest, Decision Tree, KNN, Logistic Regression and SVM.
Speaker(s): Minu Ahlawat, Dwij Dua, Megha Garg, Taxil Savani
Register: https://events.vtools.ieee.org/m/312339

Sentiment Analysis on Twitter Data – Students Research in ML and DL at Durham College
2022-05-01 18:00 - 19:00 (America/New_York) | Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/312338
The rise of digitalization and the advent of social media and e-commerce have generated an abundance of data than before. Natural Language Processing (NLP) is a significant branch of artificial intelligence that helps the machine interpret human languages and perform the desired task by analyzing the semantics, content, and pattern. Sentiment analysis is the most common technique in Natural Language Processing used to determine the underlying sentiments of a text. This technique is currently in place for different Business Organizations to analyze their brand’s market value, brand reputation, and customer perception of new brand/new change. Businesses use social media channels to cater to their customer service, and people use social media to express/share their wide range of opinions or experiences about a product/brand. These opinions and experiences reflect the real-time sentiments of a customer. Sentiment analysis will help businesses designing an effective marketing campaign, better customer satisfaction, boost sales, help improve customer experience, understand customer perception to change and the brand’s market reputation. The customer views expressed on Twitter, Facebook, and other online forums are forming the base of customer strategy for brands worldwide. Businesses are opting to shift their traditional customer feedback analysis method to text classification since people prefer to post the genuine reviews on the internet. Analyzing the underlying sentiments in the text will help the business to understand their customers’ voices and their brand reputation in the market in real-time. Sentiment analysis will help the businesses designing an effective marketing campaign, better customer satisfaction, boost sales, help improve customer experience, understand customer perception to change and the brand’s market reputation. Twitter sentiment analysis aims to classify text into positive/negative based on its underlying semantics.
Speaker(s): Akhil Mathew, Anmol Wadera, Deepan Ellenti Padmanabhan, Saketh Vemula, Sivaramakrishna Malakalapalli
Register: https://events.vtools.ieee.org/m/312338

Text Summarization of Transcripts from Online Meetings – Students Research in ML and DL at Durham College
2022-04-28 18:00 - 19:00 (America/New_York) | Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/312337
Text Summarization is a technique for generating a concise and precise summary of voluminous texts while focusing on the sections that convey useful information without losing the overall meaning. It aims to transform lengthy documents into shortened versions, which could be difficult and costly to undertake if done manually. With the current explosion of data circulating in digital space, primarily unstructured textual data, there is a need to develop tools that allow people to get insights from them quickly. In situations where it is essential to keep track of what is being spoken, such as during an online lecture, taking notes is a popular activity used by many. The art of notetaking does not involve making notes of every single word that is spoken but comprehensive outlines of what is discussed. The key to good notetaking lies in making concise yet informative summaries. In this seminar, we will be discussing how we have tried to address the difficulties of notetaking by building an application that produces notes based on transcripts generated by the Automatic Speech Recognition (ASR) technology of the meeting platforms. We experimented with six summarization models for this application, including transformer-based models pre-trained on large corpora. The datasets used for this application are the transcripts dataset acquired from online meeting platforms and the Extreme Summarization (XSum) dataset. We evaluated the models using Rouge metrics (Rouge-1, Rouge-2, and Rouge-L) and selected the best-performing model as the final model. We have built a bot that utilizes Telegram’s API and shares the generated summaries via group chat with the users.
Speaker(s): Manoj Varma Alluri, Navaneeth Jawahar, Sharath Kumar Prabhu, Jeel Jani, Shravya Sandupata
Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/312337

Credit Card Fraud Detection – Students Research in ML and DL at Durham College
2022-04-27 18:00 - 19:00 (America/New_York) | Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/312336
With the new trend of Online Shopping and Online Platforms for transactions, the number of Credit Card based transactions increased tremendously. However, there have been a lot of cases where illegal use of Debit/Credit Cards for making Fraudulent Transactions. Credit card companies have been paying a lot of attention to providing the best service for their customers by having process enhancements and pro-actively looking into transactions before making them through. Global financial losses related to payment cards are estimated to reach $34.66 billion in 2022, according to The Nilson Report, a newsletter that tracks the payment industry. Related to the negative impacts of credit card fraud activities, and financial and product losses, it’s easy for merchants and users to feel victimized and helpless. Machine Learning Models can work well in detecting such Fraudulent actions when they are trained on a large quantity of historical data and then fine-tuned depending on validation and evaluation metrics.
Speaker(s): Priyanka Singh, Devy Ratnasari, Gopika Shaji, Oluwole Ayodele, Saurav Bisht,
Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/312336

Fake News Detection – Students Research in ML and DL at Durham College
2022-04-26 18:00 - 19:00 (America/New_York) | Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/312334
The term “fake news” was pretty much unknown and unpopular a few decades ago, but it has emerged as a massive monster in the digital era of social media. Fake news is spreading like wildfire these days, and people share it without confirming it. Often, it is to promote or enforce specific views, and it is carried out through political agendas. Fake news refers to news that may or may not be correct and is widely disseminated via social media and other internet platforms.
In this digital age, it is not easy to tackle the spread of fake news, where thousands of information-sharing sites via fake news or misinformation can be shared. It has become a greater issue as AI advances, bringing with it artificial bots that may be used to create and propagate fake news. The problem is critical because many individuals believe anything they read on the internet, and those who are inexperienced or new to digital technologies are vulnerable to being misled. Fraud is another issue that can arise as a result of spam or harmful emails and communications.
Fake news has grown in popularity and spread as a result of recent political events. Humans are inconsistent, if not outright terrible detectors of fake news, as evidenced by the pervasive effects of the widespread onset of fake news. As a result, efforts have been made to automate detecting fake news. The most prominent of these attempts are “blacklists” of unreliable sources and authors. While these technologies are useful we need to account for more complex instances when trusted sources and authors leak fake news in order to provide a complete end-to-end solution. As a result, the goal of this project was to develop a tool that used machine learning and natural language processing techniques to recognize the language patterns that distinguish fake and true news. The outcomes of this project show that machine learning can be effective in this situation. We developed a model that detects a variety of intuitive indicators of real and fake news and an application to aid in the visual representation of the classification decision. We aim to give users the ability to classify news as fake or real and verify the website legitimacy that published it.
Speaker(s): Roshna Babu, Abraham Mathew, Neha Joseph
Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/312334

Building your online presence by creating your personal website
2021-10-29 18:00 - 20:00 UTC | Virtual: https://events.vtools.ieee.org/m/284161
A personal website is essential in this world where an online presence is a must. Through this workshop, Simon will show you how to buy your domain, the cheapest and more efficient way to host it, how to get SSL certificates for your website and the best practices to design and implement your website. Speaker(s): Simon Bermudez, Virtual: https://events.vtools.ieee.org/m/284161

Sustainable Service Pricing in Cloud Ecosystems
2021-07-26 12:00 - 13:00 UTC | Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/276942
Energy efficiency, which has emerged as a top priority in cloud ecosystems, is the outcome of appropriate pricing mechanisms and resource allocations. Static pricing mechanisms are the most dominant approach among all the others. They are simple to implement for the service providers and easy to understand for the service users. Inaccurate price calculation and low efficient resource allocation in static pricing mechanisms made researchers discover other solutions to overcome these issues. Double auction mechanisms are among the most appropriate dynamic models. The main challenge of conventional double auction mechanisms is not considering the cloud ecosystems’ specifications, such as dynamic online features. The term dynamic refers to the many variable parameters in cloud ecosystems, and they constantly change. Conventional static offline pricing solutions are set based on a series of parameters before running the process. In dynamic online methods, we customize our pricing models based on dynamic and current parameters. Also, we continuously optimize these methods to attain optimal results. In this seminar, firstly, we define a Dynamic Online Double Auction Mechanism (DODAM) for the IaaS environment, which covers a broader range of IaaS parameters by considering the dynamic online features of such markets. Considering the features of cloud dynamic online ecosystems, DODAM provides an appropriate price scheduling for service providers and service users. Cloud secondary market is a new paradigm in IaaS ecosystems. In these markets, brokers and reseller buyers have attained their resources from service providers of the cloud primary markets in the form of timed packages and repackage them into smaller chunks. As unsold packages do not transfer to the next intervals, brokers and reseller buyers need to sell their packages as much as possible. We develop a mechanical design that includes a market-based pricing model and a resource allocation algorithm in such markets as our second contribution. Next, by formulating the inherent competitive features in cloud secondary markets, we improve the pricing and resource allocation mechanisms in such competitive ecosystems. In the last contribution, we proposed a Priority-based Dynamic Online Double Auction Model (PB-DODAM), considering the perishability and time constraints of traded resources in IaaS secondary markets. The provided experimental results show that all proposed mechanisms drastically increase resource utilization and the overall utility.
Speaker(s): Dr. Reza Dibaj
Virtual: https://events.vtools.ieee.org/m/276942

Distributed Machine Learning 101
2021-07-19 12:00 - 13:00 UTC | Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/276938
Machine Learning is an indispensable part of data science, and there is no need to have a thorough programming background to benefit from it. Machine Learning (ML) and statistical techniques have provided a new era that enables us to convert the data into information and transform it into actionable knowledge. SciKit and TensorFlow are two states of the art libraries that can be used in Python, and this seminar will open the gate to know their bases. The first seminar is about “Hello World!” Machine Learning program, using the python language and SciKit learn library.
Speaker(s): Dr. Reza Dibaj
Virtual: https://events.vtools.ieee.org/m/276938

Isola High Speed Materials and Copper Foil Selection
2021-02-23 13:30 - 14:30 (America/Toronto) | Kitchener, Ontario Canada
On Tuesday, February 23, 2021 at 1:30 p.m., Michael J. Gay from Isola will present the technical presentation “Isola High Speed Materials and Copper Foil Selection“.
Day & Time: Tuesday, February 23, 2021|
1:30 p.m. – 2:30 p.m.
Speaker: Michael J. Gay
Organizer(s): IEEE KW EMC/MAG joint Chapter, University of Toronto AP Student Chapter
Location: Virtual – WebEx
Contact: Ming Chang Wang, Parinaz Naseri
Abstract:
Are you running 10Gbps+ signal channel in your system?
What PCB materials are suitable for 10Gbps+ application?
How copper layer surface roughness affecting Signal Integrity, RF, etc?
IEEE KW EMC/MAG joint Chapter and University of Toronto AP Student Chapter invite you to join this technical presentation of “Isola High Speed Materials and Copper Foil Selection” by Michael J. Gay from Isola.
This event will be recorded for Asia Region attendees. Please register even you are not able to join live, so that you will be provided for a link with the recorded version later.
Agenda:

SI (Signal Integrity) Performance – Laminate versus SITV (Signal Integrity Test Vehicle) testing
Tech road map
Comparing Isola HSD product options
Copper foil performance factors
Isola Product Stack
Isola foil testing method and results

Register: Please visit https://events.vtools.ieee.org/m/260528 to register.
Biography:
Michael J. Gay currently holds the position of Director, High Performance Products with Isola. Michael has been with Isola for 20 years and has 25 years of experience in laminate and PCB manufacturing industries. He has held various positions at Isola which include Technical Sales Manager and Director Emerging Products Asia Pacific Region where his responsibilities ranged from new product introduction, PCB process development and technical support and troubleshooting for Isola customers. Since returning from his role in Asia, he has worked closely with major industry OEM’s to develop and qualify Isola materials for the next generation of technology.
Michael is also active in various PCB industry organizations where he currently provides technical expertise to industry critical committees and projects. He received his Bachelor of Science in Mechanical Engineering and Masters of Business Administration from Portland State University.

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.

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 Toronto Centennial Workshop: Building An ASP.NET Core Application
2019-12-01 10:30 - 12:30 (America/Toronto) | Room A3-11 Centennial College, Progress Campus 941 Progress Ave., Toronto, Ontario, M1G 3T8
Sunday December 1st, 2019 at 10:30 a.m. Thiago do Nascimento Fontes and Kelvin Trinh will be presenting “IEEE Toronto Centennial Workshop: Building An ASP.NET Core Application”.
Day & Time: Sunday, December 1st, 2019
10:30 a.m. – 12:30 p.m.
Speakers: Thiago do Nascimento Fontes, Kelvin Trinh
Organizers: Magnetics Chapter, IEEE Toronto Centennial College Chapter, WIE IEEE Toronto
Location: Room A3-11
Centennial College, Progress Campus
941 Progress Ave., Toronto, Ontario, M1G 3T8
Contact: Reza Dibaj
Abstract: ASP.NET Core is a cross-platform, high-performance, open-source framework for building modern, cloud-based, Internet-connected applications. A huge number of developers have used this technology to develop amazing websites. In our event, we start from scratch to develop a mini-project using ASP.Net Core to show every step in a hands-on approach. We will build a simple, yet realistic ASP.NET Core application and showcase the feature of Entity Framework Core.

IEEE Toronto Centennial Workshop: Distributed Machine Learning, The Second Step
2019-07-30 14:30 - 15:30 (America/Toronto) | Room B3-09 Centennial College, Progress Campus 941 Progress Ave., Toronto, Ontario, M1G 3T8
Tuesday July 30th, 2019 at 2:30 p.m. Reza Dibaj, Chair of Magnetics Chapter in the IEEE Toronto Section, will be presenting “IEEE Toronto Centennial Workshop: Distributed Machine Learning, The Second Step”.
Day & Time: Tuesday July 30th, 2019
2:30 p.m. ‐ 3:30 p.m.
Speaker: Reza Dibaj
Chair of Magnetics Chapter, IEEE Toronto Section
Organizers: Magnetics Chapter, IEEE Toronto Centennial College Chapter, WIE IEEE Toronto
Location: Room B3-09
Centennial College, Progress Campus
941 Progress Ave., Toronto, Ontario, M1G 3T8
Contact: Reza Dibaj
Abstract: At the beginning of the workshop, we quickly recap what we did in the previous session and knowing more about the definition of good features in our datasets. To continue our journey that we have started in the previous workshop, we will dive deeper into ML by applying our Decision Tree algorithm on a classical iris dataset. We will thoroughly practice training and testing data, using a step-by-step hands-on. Finally, we will use visualization tools to show what is happening under the hood in a decision tree and how it works as one of the most interpretable algorithms in ML.

IEEE Toronto Centennial Workshop: Distributed Machine Learning, Basic Concepts
2019-07-23 14:30 - 15:30 (America/Toronto) | Room B3-09 Centennial College, Progress Campus 941 Progress Ave., Toronto, Ontario, M1G 3T8
Tuesday July 23rd, 2019 at 2:30 p.m. Reza Dibaj, Chair of Magnetics Chapter in the IEEE Toronto Section, will be presenting “IEEE Toronto Centennial Workshop: Distributed Machine Learning, Basic Concepts”.
Day & Time: Tuesday July 23rd, 2019
2:30 p.m. ‐ 3:30 p.m.
Speaker: Reza Dibaj
Chair of Magnetics Chapter, IEEE Toronto Section
Organizers: Magnetics Chapter, IEEE Toronto Centennial College Chapter, WIE IEEE Toronto
Location: Room B3-09
Centennial College, Progress Campus
941 Progress Ave., Toronto, Ontario, M1G 3T8
Contact: Reza Dibaj
Abstract: Machine Learning is an indispensable part of data science and there is no need to have a thorough programming background to benefit from it. Machine Learning (ML) and statistical techniques have provided a new era that enables us to convert the data to information, and transform the information into actionable knowledge. SciKit and TensorFlow are two states of the art libraries that can be used in Python and this seminar will open the gate to know their bases. The first seminar is about “Hello World!” Machine Learning program, using python language and SciKit learn library.

Rethink Cities – A FIDIC/EFCA White Paper on Sustainable Urban Development
2018-12-14 13:00 - 14:00 (America/Toronto) | Ryerson University, Victoria Building (VIC) 285 Victoria St., 7th Floor, Room 736 (conference room) Toronto, Ontario M5B 1W1
Friday December 14th, 2018 at 1:00 p.m. Laleh Farhadi, MSc Urban and Regional Planning, will be presenting “Rethink Cities – A FIDIC/EFCA White Paper on Sustainable Urban Development”.
Day & Time: Friday December 14th, 2018
1:00 p.m. ‐ 2:00 p.m.
Speaker: Laleh Farhadi, MSc Urban and Regional Planning
Organizers: Magnetics Chapter, WIE IEEE Toronto
Location: Ryerson University, Victoria Building (VIC)
285 Victoria St., 7th Floor, Room 736 (conference room)
Toronto, Ontario M5B 1W1
Contact: Reza Dibaj
Abstract: Today, over half of the world’s population lives in cities covering 2- 3 % of the Earth’s land area, using 75 % of all energy and emitting 80% of all carbon dioxide. Infrastructure investments in many countries and cities are not at a desirable level or they are steered in the wrong direction while many cities are growing faster geographically than population-wise. Society has to rethink cities.
The FIDIC White Paper addresses the need of evolving resource efficiency in cities with increased focus on planning and making socially and economically attractive areas, well-functioning spatial structures and energy efficient systems.
To meet the increasingly complex challenges of cities, holistic and integrated approach is needed and rightly applied regarding emissions, climate, resilience, climate risks, flooding, biodiversity, energy and material use, improved quality of life and social responsibility.
Biography: Laleh Farhadi is an Urban Planner, internationally experienced in both private and public sectors on different types of plans and projects related to the city and its ongoing challenges.
During a project in Consulting Engineering Firm, while reviewing and providing feedback for a FIDIC White Paper called “Rethink Cities”, she faced the fact that the total built environment (not just the individual buildings) requires sustainable overall solutions that form synergies in solutions for society, buildings, infrastructure, and technical systems.
This presentation based on FIDIC/ EFCA White Paper is a step forward to this knowledge and responsibility sharing with the hope of professional cooperation among various effecting fields in the city.

Smart Connected Buildings Form the Foundation of Smart City: Today’s Possibility, Tomorrow’s Necessity
2018-12-10 13:00 - 14:00 (America/Toronto) | Room 288, George Vari Engineering and Computing Centre, 245 Church Street, Toronto, Ontario M5B 2K3
Monday December 10th, 2018 at 1:00 p.m. Amir Shabani, Ph.D., P.Eng., Canada Industrial Research Chair (IRCC) in Smart Connected Buildings, will be presenting “Smart Connected Buildings Form the Foundation of Smart City: Today’s Possibility, Tomorrow’s Necessity”.
Day & Time: Monday December 10th, 2018
1:00 p.m. ‐ 2:00 p.m.
Speaker: Amir Shabani, Ph.D., P.Eng.
Canada Industrial Research Chair (IRCC) in Smart Connected Buildings
Organizers: Magnetics Chapter, WIE IEEE Toronto
Location: Ryerson University, Department of Computer Science, Room 288
George Vari Engineering and Computing Centre
245 Church Street Toronto, ON M5B 2K3
Contact: Reza Dibaj
Abstract: Have you ever been or worked in a space/classroom that the air was not fresh enough, too cold in the winter or too hot in the summer? Have you ever wondered why even a brand new LEED-certified building is not smart enough and does not let the occupants control their environment, in terms of temperature, lighting et cetera.
This presentation aims to provide some insights on the challenges the current industry of building automation is facing and the opportunities that the new advancement such as Internet of Things (IoT), Artificial Intelligence (AI), and Adaptive Machine Learning (AML) could bring to this industry to make buildings smarter and sociable. In the context of smart city, rather than buildings being primarily treated as loads, intelligent buildings play a significant role in saving energy and improving the comfort and productivity of the occupants; emphasizing the needs for buildings to be social: interact with occupants, share data with each other, learn from each other, and help each other.
Biography: Dr. Amir Shabani is the NSERC Industrial Research Chair (IRCC) in Smart Connected Buildings. He is the director of Intelligent Building Automation Systems (IBAS) lab at George Brown College, Toronto, where his research team is closely collaborating with industry leaders on deployment, assessment, and development of new technologies that make homes and buildings smarter and social.

IEEE Toronto Centennial Workshop: Distributed Machine Learning, The Future of Programming in The Present
2018-12-01 17:30 - 18:30 (America/Toronto) | Room A3-17, Centennial College, Progress Campus 941 Progress Ave., Toronto, Ontario, M1G 3T8
Saturday Dec 1, 2018 at 5:30 p.m. Reza Dibaj, Chair of Magnetics Chapter, IEEE Toronto Section, will be presenting an IEEE Toronto Centennial Workshop: “Distributed Machine Learning, The Future of Programming in The Present”.
Day & Time: Saturday December 1st, 2018
5:30 p.m. ‐ 6:30 p.m.
Speaker: Reza Dibaj
Chair of Magnetics Chapter, IEEE Toronto Section
Organizers: Magnetics Chapter, IEEE Toronto Centennial College Chapter, WIE IEEE Toronto
Location: Room A3-17
Centennial College, Progress Campus
941 Progress Ave., Toronto, Ontario, M1G 3T8
Contact: Reza Dibaj
Abstract: Machine Learning (ML) and statistical techniques have provided a new era that enables us to convert the data to information and transform the information into actionable knowledge. Moreover, distributed computing ecosystems provide the ability to break down the computation burdens among commodity hardware, thanks to cloud environments. Among all the attempts in this road, SciKit and TensorFlow are two states of the art libraries that can be used in Python and this seminar will open the gate to know their bases.

Introduction to Vehicle Safety, Simulation Tools for Autonomous Transportation and human-machine interface (HMI)
2018-02-26 11:00 - 15:00 (America/Toronto) | University of Ontario Institute of Technology, 2000 Simcoe St N, Oshawa, ON L1H 7K4, Canada
Monday, February 26th at 11:00 a.m., come to the University of Ontario Institute of Technology (UOIT) to learn about vehicle safety and relevant restraint systems and more at the “Introduction to Vehicle Safety, Simulation Tools for Autonomous Transportation and human-machine interface (HMI)” seminar.
Day & Time: Monday, February 26, 2018
11:00 a.m. ‐ 12:30 p.m.: UB2080
12:30 p.m. ‐ 3:00 p.m.: SIRC 2020A
Speakers:
Dr. Stefan Dominico
Professor, Engineering mechanics and simulations, Frankfurt University of Applied Sciences, Frankfurt, Germany
Mr. Mohsen Tayefeh, M. Eng.
Regional Sales Manager, SimuTech Group
Mr. Roman Duplak P.Eng., M.Eng.
Business Development Manager, SimuTech Group
Dr. Moustafa El-Gindy, PEng
Associate Professor, Department of Mechanical Automotive and Manufacturing Engineering, University of Ontario Institute of Technology
Mr. Walter Hearn
Area Director, ANSYS, Inc.
Location: University of Ontario Institute of Technology (UOIT)
2000 Simcoe St N
Oshawa, ON L1H 7K4
Contact: Dr. Ahmad Barari, PEng
Register: http://go.simutechgroup.com/autonomous-systems-uoit
Organizer: IEEE Toronto Women in Engineering, IEEE Toronto Instrumentation-Measurement/Robotics-Automation, IEEE Toronto Magnetics
Abstract: Reducing the number of people killed in road accidents is an important and challenging task. Beside other aspects improving the vehicle safety helps to achieve this goal. A lot of effort is being made by car manufacturers all over the world to improve the so-called safety performance of newly developed vehicles.
This workshop will give a short introduction to vehicle safety and relevant restraint systems with a focus on the deployment of the restraint systems (“airbag sensing”) used to improve the protection of people (e.g. vehicle occupants) involved in a vehicle accident. Also, special focus will be on broad capabilities for simulating autonomous vehicles and advanced driver assistance systems — everything from high-fidelity, physics-based sensor modeling to ISO26262 and AUTOSAR compliant embedded software and human-machine interface development tools.
The following topics will be covered:
Introduction to Vehicle Safety
Engineering Simulation for Safety
– Driving scenarios
– Virtual road test autonomous vehicles
Restraint Systems and Airbag Sensing
– Restraint Systems
– Introduction to Airbag Sensing
– Airbag Sensing (Calibration) Development
– The future of Airbag Sensing
– Lessons Learned (for real live)
Vehicle Dynamics and Crash Simulation Research
Future Trends
– The race to develop autonomous vehicles (AV)
– Advanced driver assistance systems (ADAS)
– Autonomous driving technology — involving radar, lidar, V2X communication, sensor fusion and deep learning
– Safe automated driving
Biography:
Dr. Stefan Dominico
Dr. Dominico has extensive working experience in German auto-industries including vehicle safety development for Adam Opel AG, and simulation at an engineering supplier (IHF – Ingenieurbüro Huß & Feickert), and several years research experience on nonlinear finite element simulations at the Universität Kassel.
Mr. Mohsen Tayefeh, M. Eng.
Mr. Tayefeh has been consultant to various industries in implementation of advanced technologies through partnership strategies for many years. He is an expert in computer aided engineering, finite element analysis and simulation. He also has extensive experience to design and manufacturing in automotive sector.
Mr. Roman Duplak P.Eng., M.Eng.
As a trusted advisor Roman helps companies to implement high technologies. Prior to this he worked as a Business Segment Director for the largest Bus Manufacturer in North America (i.e. New Flyer Industries) and as a Program Manager for Boeing. Moreover, his technical background consisted of working as a Chief Engineer in electromechanical actuation technologies, which brings lots of added value to this seminar.
Dr. Moustafa El-Gindy, PEng
Dr. El-Gindy is a leading researcher on vehicle safety and crash worthiness analysis. His research interests includes articulated heavy vehicles, bus testing and simulation, crash testing and simulations, high-velocity impact and ballistics simulation, self-steering axles simulation, Tire mechanics, and virtual human modelling.
Mr. Walter Hearn
Mr. Hearn has been in leadership roles with ANSYS for more than 10 years. Currently he is directing multiple direct and indirect teams across the Central U.S. and Canada. His successful strategies in supervising partnerships with companies will bring significant added value and we will learn many practical success stories from him during this seminar.

Hybrid Biomedical Optics Imaging and Instrumentation
2018-02-16 12:00 - 13:30 (America/Toronto) | Room: ENG 210, George Vari Centre for Computing and Engineering, 245 Church Street, Toronto, Ontario M5B 2K3
Friday, February 16th at 12:15 p.m., Nima Tabatabaei, Assistant Professor in the Department of Mechanical Engineering and Director of Hybrid Biomedical Optics Laboratory at York University, will be presenting “Hybrid Biomedical Optics Imaging and Instrumentation”.
Day & Time: Friday, February 16, 2018
12:15 p.m. ‐ 1:15 p.m.
Speaker: Nima Tabatabaei
Assistant Professor, Department of Mechanical Engineering
Director, Hybrid Biomedical Optics Laboratory
York University, Canada
Location: Room: ENG 210, George Vari Centre for Computing and Engineering
245 Church Street
Toronto, Ontario M5B 2K3
Contact: Saba Sedghizade, Maryam Davoudpour
Organizer: WIE IEEE Toronto, IEEE Ryerson Student Chapter, Instrumentation-Measurement/Robotics-Automation, Magnetics, and Computer Science Department of Ryerson University
Abstract: The focus of professor Tabatabaei’s research is on the design and instrumentation of thermal and optical imaging technologies and devices with applications in medical diagnosis and screening. Optics-based medical devices are of particular interest to him due to their intrinsic ability of revealing malignancies in early stages. The early diagnosis of diseases improves the effectiveness of treatments, promotes prevention rather than medical intervention, and is probably the only approach for us to win the war on cancer. However, one of the major challenges in optical imaging of endogenous tissue contrast is the poor specificity due to background signals from healthy tissues. Professor Tabatabaei’s research vision is to overcome this shortcoming by separating excitation and detection channels using Hybrid methods. In this scenario, crosstalk between the channels, selectively, takes place by energy conversion at malignant sites that are sensitive to the excitation thus minimizing (if not eliminating) the signals originating form background health tissues.
Biography: Nima Tabatabaei is an assistant professor in the Department of Mechanical Engineering and the director of Hybrid Biomedical Optics laboratory (http://www.HBOLab.ca) at the York University (Canada). He received his B.Sc. and M.Sc. in Materials Science and Engineering and Ph.D. in Mechanical Engineering (University of Toronto; 2012) before carrying out research at the Harvard Medical School and Wellman Center for Photomedicine as postdoctoral fellow. His research interests are design and development of hybrid biomedical optics imaging technologies for applications in early disease diagnosis and screening.

High Throughput CMOS Sensors and Actuators: An Emerging Technology for Automation of Biological Laboratories
2018-02-02 12:15 - 13:15 (America/Toronto) | Room: ENG 288, George Vari Centre for Computing and Engineering
Friday, February 2nd at 12:15 p.m., Dr. Ebrahim Ghafar-Zadeh (PhD, P.Eng), Director of Biologically Inspired Sensors and Actuators Laboratory, will be presenting “High Throughput CMOS Sensors and Actuators: An Emerging Technology for Automation of Biological Laboratories”.
Day & Time: Friday, February 2, 2018
12:15 p.m. ‐ 1:15 p.m.
Speaker: Dr. Ebrahim Ghafar-Zadeh
Biologically Inspired Sebsors and Actuators ( BioSA)
Dept. of Electrical Engineering and Computer Science
Lassonde School of Engineering
York University
Location: Room: ENG 288, George Vari Centre for Computing and Engineering
245 Church Street
Toronto, Ontario M5B 2K3
Contact: Maryam Davoudpour
Organizer: WIE IEEE Toronto, IEEE Ryerson Student Chapter, Instrumentation-Measurement/Robotics-Automation, Magnetics, and Computer Science Department of Ryerson University
Abstract: Recent advances of Complementary Metal Oxide Semiconductor (CMOS) Lab-on-Chip (LoC) technologies have greatly attracted the attentions for a variety of life science applications including DNA sequencing, drug discovery and automation of biological laboratories. A CMOS based LoC consists of a microfluidic device for directing the biological/chemical samples towards sensors (e.g. magnetic, optical or capacitive sensors) or actuators (e.g. magnetic or electrical actuators). An array of sensors or actuators can be realized on the top of CMOS integrated circuits (IC) for accurately measurement of chemical and/or biological signals. High throughput microfluidic/CMOS technology for cellular and molecular analysis is in a very early stage of development and there are several critical challenges that must be investigated and resolved. In this talk, professor Ghafar-Zadeh will discuss new perspectives and challenges for the design and implementation of hybrid microfluidic CMOS sensors and actuators. Also he will demonstrate and discuss his recent research achievements in this emerging field of research.
Biography: Ebrahim Ghafar-Zadeh (PhD, P.Eng) received his BSc ( KNT University, Tehran Iran), MSc (University of Tehran, Iran) and PhD ( Ecole Polytechnique de Montreal, Canada) degrees in Electrical Engineering in 1992, 1994 and 2008 respectively. In recognition of his innovative research in the topic of hybrid microfluidic/microelectronic systems, Dr. Ghafar-Zadeh received several postdoctoral fellowship awards including NSERC PDF and FRQNT PDF and he perused two postdoctoral fellows in the Dept. of Electrical and Computer Engineering, McGill University; and the Dept. of Bio-engineering, University of California, Berkeley. Dr. Ghafar-Zadeh has published more than 100 journal and conference papers and a book titled CMOS Capacitive Sensors for Lab-on-Chip applications. Since 2013, he has been an assistant Professor, in the Dept. of Electrical Engineering and Computer Science, York University, Toronto, Canada. Dr. Ghafar-Zadeh is the director of Biologically Inspired Sensors and Actuators Laboratory.

Hatching A Tech Startup
2017-11-27 15:30 - 18:00 (America/Toronto) | Room: ENG 288, George Vari Centre for Computing and Engineering
Tech startups have special challenges. Founders need to keep an eye on technology disruption, they have to find, recruit and keep the best talent, and they have to stay ahead of their competition. In the early stages there are no funds and never enough resources or time. In spite of this tech startup founders find a way to stand up their first product and land their first customers.
Join us for an afternoon with tech startup founders Melinda Jacobs, Cofounder, Lucent Sky, Maria Karam, Founder, Tactile Audio Displays Inc and the Inventor’s Nest, and Eddy Song Fonder of Inlighten Co as they share their own stories of the early stages of their businesses.
Come and hear how they do it and how they turn their ideas into products customers want.
Day & Time: Monday November 27th, 2017
3:30 p.m. – 6:00 p.m.
Speakers: Melinda Jacobs, Cofounder, Lucent Sky
Dr. Maria Karam, Founder, Tactile Audio Displays Inc & Inventor’s Nest
Eddy Song, Founder, Inlighten Co.
Location: Room: ENG 288, George Vari Centre for Computing and Engineering
245 Church Street
Toronto, Ontario M5B 2K3
RVSP: https://www.meetup.com/Get-Your-Bot-On-Robotics-Hackathon/events/245069438/
Contact: Dr. Maryam Davoudpour
Organizer: Get Your Bot On!, WIE IEEE Toronto, Instrumentation-Measurement/Robotics-Automation, Magnetics, and Computer Science Department of Ryerson University.
Agenda: 3:30 p.m. – Doors Open and Networking
4:00 p.m. – Welcome and Speakers
4:50 p.m. – Panel and Q&A
5:30 p.m. – Closing Remarks
6:00 p.m. – Close
Biography: Melinda Jacobs is cofounder of Lucent Sky, an application security vendor based in San Francisco and Taipei. Originally from Fredericton, Melinda studied as a Loran Scholar at the University of Toronto and currently serves on the Board of Directors of the University of Toronto Alumni Association (UTAA). Last year Melinda presented a keynote at the Lean Startup conference in San Francisco and is a frequent presenter on social entrepreneurship, security and risk. She was recently named a Senior Fellow of the Canadian International Council and now resides in Toronto.
Dr. Karam is the inventor and President of Tactile Audio Displays inc., and a Senior visiting research fellow at Kings College London UK. Dr. Karam’s specializes in the research and development of tactile communication systems and multi sensory technology integration in luxury autonomous vehicles, accessibility, and immersive entertainment environments. Maria is also the founder of the Inventors Nest, a new innovation and collaboration hub for artists, scientists, and techies. (please shorten or select the parts you think are relevant). I have also been a member of the IEEE since 2005.
Eddy Song is the founder of Inlighten Co. Inlighten makes fashionable clothing from fibre optic textiles. Their first products are popular with the EDM community.

Overview of Blockchain Technology
2017-11-13 16:00 - 17:00 (America/Toronto) | Room: ENG 288, George Vari Centre for Computing and Engineering
Omid Sadeghi, serial entrepreneur and technology advisor, will be presenting “Overview of Blockchain Technology”.
Day & Time: Monday November 13th, 2017
4:00 p.m. – 5:00 p.m.
Speaker: Omid Sadeghi
Director of BlockchainHub at York University
Location: Room: ENG 288, George Vari Centre for Computing and Engineering
245 Church Street
Toronto, Ontario M5B 2K3
Contact: Dr. Maryam Davoudpour
Organizer: WIE IEEE Toronto, Instrumentation-Measurement/Robotics-Automation, Magnetics, and Computer Science Department of Ryerson University.
Abstract: Blockchain protocol and technology are said by many to be among the greatest accomplishments of human intellect since the Internet. Blockchain is the software technology underlying what is commonly known as Bitcoin, however, the technology is not exclusive to Bitcoin. Swarms of innovators are working feverishly to design and deploy new business platforms that incorporate blockchain technology.
In this session, we learn about the concepts of cryptocurrency and blockchain, what are the potential for this technology and when a blockchain solution would be applicable to an enterprise.
Biography: Omid Sadeghi is a serial entrepreneur and technology advisor with domain expertise in commercialization and developing customer-centric products. Omid holds an undergraduate degree in Design Engineering and an MBA degree from Schulich School of business (Winner of more than $40,000 student awards).
He is the director of BlockchainHub at York University to connect Research, education, and commercialization in Blockchain space. BlockchainHub currently run numerous educational programs and run various projects including setting up a state of the art Blockchain-based certification system for York University.
Omid is active in building and supporting technology and engineering communities, especially in Toronto. He is on the advisory board of different blockchain initiatives and a board member of Professional Engineers of Ontario-ETC.

Designing a Gamification Course for an Higher Education Audience
2017-05-26 13:30 - 15:30 (America/Toronto) | George Vari Centre for Computing and Engineering, Room: ENG 288
Friday May 26, 2017 at 1:30 p.m. Dr. Sergio A. A. Freitas, Associate Professor in the Gama Engineering College (FGA) and Director of the Distance Education Center at the University of Brasilia (UnB), Brazil, will be presenting “Designing a Gamification Course for an Higher Education Audience”.
Day & Time: Friday May 26, 2017
1:30 p.m. – 3:30 p.m
Speaker: Dr. Sergio A. A. Freitas
Associate Professor in the Gama Engineering College (FGA)
Director of the Distance Education Center
University of Brasilia (UnB), Brazil
Location: Ryerson University
George Vari Centre for Computing and Engineering
Room: ENG 288
245 Church Street
Toronto, Ontario M5B 2K3
Contact: Dr. Maryam Davoudpour
Organizers: IEEE Toronto (WIE, Measurement/Instrumentation-Robotics, Magnetics chapters), Computer Science Department of Ryerson University
Abstract: The gamification of activities in classrooms has become of great interest in higher education. Today’s students have a lot of experience in virtual environments and games, and researchers who have tested/used gamification in their classrooms have reported an increase in student engagement and retention.
This course presents a four step process to create a gamified course: Identifying the students’ profile (step 1) and the gamification object (step 2), creating the gamification project (step 3), and finally, implementing the gamification project (step 4).
At the end of the workshop it is expected that the participant will be able to design a basic gamified course.
Biography: Dr. Sergio A. A. Freitas is currently an Associate Professor in the Gama Engineering College (FGA) and Director of the Distance Education Center at the University of Brasilia (UnB), Brazil. He is also the coordinator of research in the FGA Software Factory Laboratory. His current research projects focus on interdisciplinary studies and applications of learning methodologies on engineering undergraduate courses, and software engineering methodologies. Prof. Freitas areas of expertise include gamification, PBL, virtual learning environments in education and training, and software engineering methodologies. Dr. Freitas has coauthored journal publications, conference articles and book chapters in the aforementioned topics, and has coordinated and participated on many projects from various funding agencies CNPq, FAP-ES, FAP-DF, Cebraspe, and Brazilian Federal Ministries.

7th Annual E3 Symposium
2017-05-12 08:00 - 16:00 (America/Toronto) | Centennial College: Progress Campus Library Building Auditorium 941 Progress Avenue, Toronto, Ontario
Friday May 12, 2017 the School of Engineering Technology and Applied Science and the Centennial Energy Institute invite you to our 2017 E3 Symposium: The Future is Smart: The Transformation of Canadian Manufacturing. This event will bring together advanced manufacturing innovators from across a number of sectors in the economy. The event will feature industry titans sharing best practices.
Day & Time: Friday May 12, 2017
8:00 am to 8:45 am – Registration and Breakfast.
9:00 am to 4:00 pm – Speakers & Sessions.
Location: Centennial College: Progress Campus
Library Building Auditorium
941 Progress Avenue, Toronto, Ontario
Event Page: http://www.centennialcollege.ca/programs-courses/schools/school-of-engineering-technology-and-applied-science/e3-symposium/
Contact: Maryam Davoudpour

Engineering the Internet of Things – Digital Twin Seminar
2017-04-28 09:00 - 16:00 (America/Toronto) | George Vari Centre for Computing and Engineering Room: ENG 288, 245 Church Street, Toronto
Friday April 28, 2017 at 9:00 a.m. IEEE Toronto and SimuTech Group will be hosting the seminar “Engineering the Internet of Things – Digital Twin”.
Day & Time: Friday April 28, 2017
9:00 a.m. – 4:00 p.m.
Location: Ryerson University
George Vari Centre for Computing and Engineering
Room: ENG 288
245 Church Street
Toronto, Ontario M5B 2K3
Cost: Free including lunch
Register: http://go.simutechgroup.com/ieee-iot-digital-twin-toronto
Contact: SimuTech Group – Mohsen Tayefeh
IEEE Toronto – Dr. Maryam Davoudpour
Organizers: IEEE Toronto (WIE, Signals & Computational Intelligence, Measurement/Instrumentation-Robotics, Magnetics chapters), Computer Science Department of Ryerson University, SimuTech Group (ANSYS Elite Channel partner)
Abstract: High-tech–industry product development teams routinely use coupled multiphysics software to analyze the trade-offs among speed, bandwidth, signal integrity, power integrity, thermal performance and EMI/EMC.
The Internet of Things is a network of smart products, or “things”, that use embedded sensors, software, and electronics to communicate with each other over a network. The communication data can be analyzed by cloud based software to derive actionable information, leading to predictive and prescriptive outcomes.
In this seminar, the following topics will be discussed:
– Engineering the Internet of Things
– 5 Engineering Challenges for Smart Product Development
– Case Study: Search and Rescue Drone-Satellite System
– Signal Integrity/EMI/EMC, Human body, Federal Regulations
– User experience – Wearable devices (Multiphysics Simulation)
– Digital Twin – GE and ANSYS collaboration
– Case Study: prescriptive maintenance case study
– Lunch
– RF Antenna placement
– Step by step workshop – Antenna analysis
– PCB design – Power Integrity
– Thermal management (CFD)
– Networking, Door prize/draw (Drone)
