IEEE KW Section Executive Committee Meeting July 2024Agenda: IEEE KW Section Executive Committee Meeting AgendaFriday, July 26th, 2024, 6:00– 7:30 PM ETVenue: WebEx (virtual) - The link will be shared soon. Stay tuned!- Review and Approve Minutes of AGM 2023………............... Nitin Padmanabhan- Chair’s Report ................................................ …………… Nitin Padmanabhan- Vice-Chair’s Report ............................................... …………… Ahmed Refaey- Treasurer’s Report ............................................................... Wendy de Gomez- Membership Development Report ........................................... Mithil Acharya- Professional Activities Report ................................................... Dario Peralta- Educational Activities Report .......................................... Mohammed Nassar- Newsletter Editor .................................................................................. Vacant- Nomination ......................................................................... Nitin Padmanabhan- IEEE Foundation ........................................................................ John Mowbray- Industry Relations ...................................................... Ahmed Refaey Hussein- Publicity ........................................................................................ Monsef Tahir- Awards ........................................................................................ John Mowbray- Student Branch Reports- Conestoga College ……………………………………………. Ank Zaman- University of Waterloo …………………………………………… Lan Wei- University of Guelph ……………………………. Mohamad Abou El Nasr- Chapter Reports- Aerospace and Electronic Systems.............................................. Vacant- Antennas/Microwave Theory......................................... Raafat Mansour- Communications............................................................. Raouf Boutaba- Computational Intelligence Society ................................... Fakhri Karray- Computer.............................................................................. Ank Zaman- Control Systems............................................................. Medhat Moussa- Electronic Devices..................................................... Siva Sivoththaman- Electromagnetic Compatibility/Magnetics .................. Mingchang Wang- Engineering in Medicine & Biology ........................................ Aidin Taeb- Photonics …………………………………………………………………Vacant- Power and Energy…………………………………………….. Helen Mathews- Robotics and Automation ……………………………………. Katja Mombaur- Sensors Council ............................................................. George Shaker- Signal Processing .................................................................. Yuhua Liu- Social Impact of Technology & System, Man, & Cybernetics....... Rozita Dara- Solid State Circuits ………………………………………….................Vacant- Vehicular Technology................................................ … Weihua Zhuang- Affinity Group ReportsYoung Professionals....................................................... George ShakerWIE (Women in Engineering)......................... …….(mailto:[email protected]) ZarrinkalamConsultant Network ..................................................................... VacantLife Members …………………………………………………..Dwight Aplevich- Other MatterVirtual: https://events.vtools.ieee.org/m/427518

Join us Saturday, July 27 for the annual IEEE Northern Canada Section Barbeque at Emily Murphy Park Site 1 (11904 Emily Murphy Park Rd NW) in Edmonton from noon to 2 pm. This event is 'free' to IEEE members and their families. In order to reduce the number of no-shows, we are charging $10 per adult and you will then be refunded your $10 at the venue. Please indicate the number of children attending in the 'Special Requests' field. There will be hamburgers (meat, halal and vegetarian) as well as soft drinks and snacks. This is a sheltered site with an adjacent open space so bring your Frisbees, Soccer balls, etc. Registration closes Thursday, July 25 at 5 pm. Hope to see you there.Bldg: Site 1, 11904 Emily Murphy Park Rd NW, Edmonton, Alberta, Canada

The increase in popularity of machine learning models and algorithms has brought up methods for increasing the efficiency of processes in various industries and new use cases. From corporations to individuals, machine learning is applicable in a wide range of settings. One such application is using machine learning models for stock price forecasting. This area is often studied. However, it still needs to solve problems due to the high complexity and volatility that technical factors and sentiment-analysis models try to capture. Based on this premise, we suggested building up our previous experience building short-term forecasting models using machine learning models. The research project aims to develop practical algorithmic trading algorithms based on accurate short-term forecasts for financial time series using machine learning models. The project focuses on these research activities:- Building a database containing the targeted financial and other time series is valuable input to the machine learning models. This streamlines the process of acquiring financial data required for training the machine learning model by adding a web UI for configuring data collection automation and extracting required data.- A short-term forecasting model based on machine learning is developed using the various time-series data from the data warehouse. Machine learning algorithms such as neural networks, random forecasts, support vector regression, XGBoost, and long short-term memory (LSTM) are evaluated with several performance criteria to identify the most accurate model from a short-term trading perspective. After the performance analysis based on several metrics, XGBoost was chosen for further development.We will demonstrate how to evaluate the quality of the collected data, the metrics of the machine learning model’s prediction, and their integration.Co-sponsored by: IEEE Okanagan College Student BranchSpeaker(s): Albert Wong, Gaétan Hains, Ajitesh Parihar Agenda: 1. Welcome from the IEEE Okanagan Subsection, IEEE Okanagan College Student Branch and Computer Science Department: Dr. Youry Khmelevsky, Chair (9:30 am – 9:35 am)2. Invited speaker from the University of Paris East Creteil: Dr. Gaétan Hains (9:35 am – 10:15 am)3. Invited speakers from Langara College: Dr. Albert Wong & Andres C. Viloria Garcia (10:15 am – 11:00 am)      Machine Learning algorithms for stock price forecasting      Model building process and methodology      Normalization and performance evaluation      Iterations and results4. Coffee Break (11:00 am - 11:15 am)5. Student research project presentation and demonstration (11:15 am - 12:30 pm)      Database design      Data collection process automation      Extraction, Transformation and Loading Process      UI development for data configurations and extraction      Integration prototype using Jupyter notebooksWe will demonstrate how to evaluate the quality of the collected data, the metrics of the machine learning model’s prediction, and their integration.Room: 310, Bldg: E, 1000 KLO Rd., Kelowna, British Columbia, Canada, V1Y 4X8, Virtual: https://events.vtools.ieee.org/m/428090

The digital landscape is amid an evolution that could transform our world in ways we probably have not even envisioned. Artificial Intelligence (AI) has emerged as a powerful weapon, transforming every facet of our lives while society, organizations and governments all over the world scramble on how best to regulate it.Since the launch of ChatGPT about 18 months ago, cybercriminals lurking in the shadows of the dark web are constantly devising ways to take advantage of the technology to get around safety and ethical guardrails or use it for more sophisticated malicious activities in the shadowy world of cybercrime.This talk explores the evil realm of the Internet (aka the Dark Web) where unethical and criminal activities flourish and the interplay with cybersecurity, cyberwarfare, and cybercrime. This talk will also highlight the essential undertakings in the unavoidable and perpetual battle against cybercrime that must be fought by all.Speaker(s): Kay, Agenda: 7:00PM - Introduction of IEEE Hamilton Section7:15PM - Presentation8:15PM - Q&A8:30PM - Presentation EndVirtual: https://events.vtools.ieee.org/m/425904

The latest McKinsey Global Survey on AI in May of 2024 concludes that 2023 was the year the world discovered generative AI (GenAI) and 2024 is the year organizations truly began using—and deriving business value from—this new technology. An incredible 65 percent of respondents report that their organizations are regularly using GenAI, which is nearly double the percentage from the previous survey just ten months before. Respondents’ expectations for gen AI’s impact remain as high with three-quarters predicting that gen AI will lead to significant or disruptive change in their industries in the years ahead.This session is an invaluable opportunity for business leaders like you to overcome your hesitation and uncertainty of AI. Mastering AI tools and techniques is not just about keeping pace with technology; it's about leveraging these advanced resources to fill in knowledge gaps, enhance decision-making, and drive productivity.Learning to utilize AI not only streamlines operations but also significantly boosts your capacity to deliver increased business outcomes, making you more valuable and a strategic asset to your organization. You will leave equipped with practical, actionable strategies that you can implement immediately, turning your uncertainty into confidence and empowering you to leverage AI effectively in your daily tasks.Speaker(s): Paul CarneyVirtual: https://events.vtools.ieee.org/m/423706

The Montreal Chapters of the IEEE Control Systems (CS) and Systems, Man & Cybernetics (SMC) cordially invite you to attend the following in-person talk, to be given by Dr. Jesús Rodríguez Molina from the Technical University of Madrid.Co-sponsored by: Concordia UniversitySpeaker(s): Dr. Jesús Rodríguez MolinaRoom: EV002.184, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8

[]Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a talk on the Walking with Robots, presented by Dr. Amy R. Wu from Queen's University.Wednesday, July 31, 2024 @ 5:00 – 6:00 PMAbstract: A world embedded with robots seems inevitable. One challenge, however, is designing robots to work with us, not against us. It is unclear how assistive robots, such as robot companions, would affect activities of human daily living, such as walking. To inform the design of controllers that enable seamless human-robot interaction during walking tasks, we first sought to determine whether legged robots could affect human walking behavior. Robots have the potential to greatly improve human lives, but we should ensure they are designed to interact well with us to minimize mechanical and possibly energetically related consequences from human-robot interaction.In this talk, Dr. Amy R. Wu will discuss two studies they conducted with human participants and quadrupedal robots walking side-by-side. They compared human behavior with and without the robot and found that legged robots can affect human gait even without physical interactions, which has implications for the design of robot companions or monitoring robots.Speaker(s): Amy R. Wu, PhD, P.L.EngVirtual: https://events.vtools.ieee.org/m/425309

Federated learning (FL) is an efficient and privacy-preserving distributed learning paradigm that enables massive edge devices to train machine learning models collaboratively. Although various communication schemes and algorithm designs have been proposed to expedite the FL process in resource-limited wireless networks, the unreliable nature of wireless channels, device heterogeneity, and data heterogeneity are still less explored. In this talk, number of solutions solutions will be discussed for addressing the above practical challenges in wireless FL. Firstly, to tackle the unreliable wireless channels, a novel FL framework, namely FL with gradient recycling (FL-GR), which recycles the historical gradients of unscheduled and transmission-failure devices to improve the learning performance of FL will be discussed. Secondly, to solve the heterogeneity issues, partial model aggregation, knowledge aided learning and adaptive model pruning-based FL framework will be explained. Based on our research experience, some open problems of wireless FL will be provided.Speaker(s): Professor Arumugam , Room: 460, Bldg: ENG, 245 Church Street, Toronto, Ontario, Canada, M5B 1Z4

Abstract: Indium phosphide photonic integration platforms offer a wide range of passive components, but excel in their optoelectrical functionality. The indium-phosphide-membrane-on-silicon (IMOS) platform bargains this functionality, but combines it with high-index-contrast nanophotonic circuits. Recent demonstrations have highlighted devices with competitive performance metrics, including ultrafast photodiodes, best-in-class thermos-optic phase modulators, multi-pass SOAs, and widely-tunable lasers. Applications of the IMOS devices show high potential in optical wireless, optical cross-connects and sensing applications.Speaker(s): Sander Reniers1650 Boulevard Lionel-Boulet, Varennes, Quebec, Canada, J3X 1P7

TBD - CIT Summer Series Session 5Speaker(s): Careers in Tech SpeakerVirtual: https://events.vtools.ieee.org/m/423707

The recent Infrastructure Investment and Jobs Act (IIJA) reaffirms the decarbonizing of the transportation sector in the United States. This bill will ensure the penetration of EVs in all sectors by increasing charging station accessibility and removing barriers to further EV adoption nationwide. This mandates to investigation of all transportation sectors for EV adoption and remove the barriers. School buses are one of the largest bus networks in the USA. These buses are widely run on fossil fuels and require the execution of a variety of steps before their electrification. Before these e-school buses can be deployed at the mass level, we need to understand the energy needs and influence their fleet composition. The energy need requires a thorough understanding of each school district for their road loads (number of bus stops, trip duration, electric range, and grade profile). Typically, we see 4 types of school buses on the road these days, however, the 4 types will not be sustainable options for their electric variants, unless the whole design space is investigated for optimal sizes. Unlike diesel variants, battery holds the primary cost in the EV, oversizing it will have a significant financial impact on the school districts. Besides the road loads, the other major subsystems consuming the school bus’s energy resources are the body and dash heating and cooling loads. The bus body climate control load on the battery can impact its range and performance. These loads can impact the bus range by 50+%. This means that in winter, the same e-school bus will travel 50% fewer miles.Speaker(s): AtharVirtual: https://events.vtools.ieee.org/m/426235

Join fellow IEEE members and Section leaders to socialize, and explore opportunities to connect with the section. This event is free to attend for all IEEE Members. Family members and guests are welcome to join, with a $10 registration fee to cover the price of food and drinks.Photo PolicyPlease be aware that photography, video, and sound recordings will take place during the evening. You may be asked to be in a photo, or you may be inadvertently recorded when photographs or videos are made. Individuals shall not be identified in Vancouver Section published media without their consent.6911 Southpoint Drive, Burnaby , British Columbia, Canada, V3N 4X8