IEEE NCS Hands-on Workshop on AI and Machine Learning Programming in Python 101

Room: Computer lab Tegler-T103, Concordia University of Edmonton, 7128 Ada Blvd NW, Edmonton, Alberta, Canada, T5B 4E4

IEEE Northern Canada Section aims to promote STEM education and develops communities. Moreover, IEEE NCS always looks to offer IEEE members more. This 2-day hands-on workshop provides opportunites for people who are interested in obtaining basic enough knowledge and skill in Python programming to create and train computers to recognize objects from images as well as generate text. IEEE NCS also welcome and encourage IEEE members to register for their family members (as participant) who are studying at high school right now or are going to start high school or have just completed high school this year.Dates:- 9 AM to 3 PM on Thursday, July 25, 2024 and Friday, July 26, 2024Place:- computer lab Tegler-T103, Concordia University of Edmonton- https://concordia.ab.ca/about/campus-map/- NOTE: in-person onlyEligibility for registering as a participant:- IEEE Member at any grade- IEEE member's family member who- is studying at high school right now or- is going to start high school or- just completed high school this yearCapacity:- Up to 20 participantsRegistration Fee:- 20 CAD per participant- NOTE: IEEE members need to register for themselves and/or their eligible family membersNOTE: Participants are also welcome to bring your own laptop for the event. If you have your own laptop with you, please download (https://www.virtualbox.org/) and install Oracle VirtualBox (you can refer on the the first 3 minutes and 11 seconds video for the steps and process at https://www.youtube.com/watch?v=nvdnQX9UkMY) before the workshop.Agenda: Agenda:- Day 1 (Thursday, July 25, 2024)- 09:00 ~ 09:10 Opening- 09:10 ~ 10:10 Game-based Educational Reward System- 10:10 ~ 10:30 Break- 10:30 ~ 12:00 Python Basics #1- 12:00 ~ 13:00 Lunch Break- 13:00 ~ 13:30 Game-Play Session- 13:30 ~ 15:00 Python Basics #2NOTE: Python Basics #1 and #2 sessions- teach everything participants need to know for the 2-day lectures- use simple cases with step-by-step instructions and explanations- participants have time to coding and testing- have three tasks or questions to give participants in-game card rewards- Day 2 (Friday, July 26, 2024)- 09:00 ~ 09:20 Briefing- 09:20 ~ 10:10 Online Metacognitive Educational Game with Analytics (OMEGA+)- 10:30 ~ 12:00 Machine Learning- 12:00 ~ 13:00 Lunch Break- 13:00 ~ 14:30 Natural Language Processing- 14:30 ~ 15:00 TCG/OMEGA+ ChampionshipsNOTE: Machine Learning and Natural Language Processing sessions- focus on classifier training and prediction cases with step-by-step instructions and explanations- participants have time to coding and testing- have three tasks or questions to give participants in-game card rewardsRoom: Computer lab Tegler-T103, Concordia University of Edmonton, 7128 Ada Blvd NW, Edmonton, Alberta, Canada, T5B 4E4

Convex Lifting in Control. Applications on constrained control design, fragility analysis and path planning

Room: EV 3.309, Bldg: EV Building, Concordia University, Montreal, Quebec, Canada, H3G 1M8

The Montreal Chapter of Control Systems (CS) cordially invites you to attend the following in-person talk, given by Dr. Sorin Olaru, Professor of Control Engineering at CentraleSupélec, within the University Paris-Saclay, Paris, France.Co-sponsored by: Concordia UniversitySpeaker(s): Dr. Sorin OlaruRoom: EV 3.309, Bldg: EV Building, Concordia University, Montreal, Quebec, Canada, H3G 1M8

High-Rate Secret Key Generation Using Physical Layer Security and Physical Unclonable Functions

Room: Western Academy for Advanced Research (WAFAR), Bldg: International and Graduate Affairs Building (IGAB) (3rd Floor), Western University, London, Ontario, Canada

Title: High-Rate Secret Key Generation Using Physical Layer Security and Physical Unclonable FunctionsAbstract: Physical layer security (PLS) can be adopted for efficient key generation and sharing in secured wireless systems. The inherent random nature of the wireless channel and the associated channel reciprocity (CR) are the main pillars for realizing PLS techniques. However, for applications that involve air-to-air (A2A) transmission, such as unmanned aerial vehicle (UAV) applications, the channel does not have sufficient randomness to enable reliable key generation. Therefore, this work proposes a novel system design to mitigate the channel randomness constraint and enable a high-rate secret key generation process. The proposed system integrates physically unclonable functions (PUFs) and CR to generate and exchange secret keys between two nodes securely. Moreover, an adaptive and controllable artificial fading (AF) level with interleaving is used to mitigate the impact of low randomness variations in the wireless channel. Moreover, we propose a novel bit extraction scheme to reduce the number of overhead bits required to share the intermediate keys. The obtained Monte Carlo simulation results show that the proposed system can operate efficiently even when the channel is nearly flat or time-invariant. Consequently, the time required for generating and sharing a key is significantly shorter than conventional techniques. Furthermore, the results show that a key agreement can be reached at the first trial for moderate and high signal-to-noise ratios (SNRs) substantially faster than other PLS techniques. Adopting the AF into static channels managed to reduce the mismatch ratio between the generated secret sequences and degrade the eavesdropper’s capability to predict the secret keys.Biography: Arafat Al-Dweik received the M.S. (Summa Cum Laude) and Ph.D. (Magna Cum Laude) degrees in electrical engineering from Cleveland State University, Cleveland, OH, USA in 1998 and 2001, respectively. He has more than 20 years of industrial and academic experience. Dr Al-Dweik has extensive teaching and research experience in various areas of wireless communications and Intelligent Transportation Systems. He published more than 190 articles in highly prestigious international journals and conference proceedings and raised over 4 M USD of research funds. He also has 12 issued patents with the USPO. During his career, he supervised 25 MSc and PhD students, and 20 Research Associate and Post-Doctoral Fellows. He also has extensive editorial experience where he served as an Associate Editor with the IEEE Transactions on Vehicular Technology and IET Communications.Co-sponsored by: The OC2 LabRoom: Western Academy for Advanced Research (WAFAR), Bldg: International and Graduate Affairs Building (IGAB) (3rd Floor), Western University, London, Ontario, Canada

Interpretability and Privacy Preservation in Large Language Models (LLMs)

Room: CSF 1203, Bldg: Core Science Facility, ECE Board Room,, CSF 1203, 45 Arctic Ave, St John`s, Newfoundland and Labrador, Canada, A1C 5S7

IEEE Newfoundland-Labrador Computer, Communication, and Circuits & Systems Joint Societies Chapter cordially invites you to a technical presentation entitled “Interpretability and Privacy Preservation in Large Language Models (LLMs)” by Dr. My T. Thai, professor at the University of Florida.Co-sponsored by: Memorial University of NewfoundlandSpeaker(s): Dr.ThaiRoom: CSF 1203, Bldg: Core Science Facility, ECE Board Room,, CSF 1203, 45 Arctic Ave, St John`s, Newfoundland and Labrador, Canada, A1C 5S7

Strategic Learning for Cyber-Physical Resilience: The Confluence of Games, Control, and Learning

Room: EV002.184, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8

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. Quanyan Zhu, the Department of Electrical and Computer Engineering, New York University (NYU).Co-sponsored by: Concordia UniversitySpeaker(s): Dr. Quanyan ZhuRoom: EV002.184, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8

Functional Programming in Java

Room: ED 485.1, Bldg: Education Building, University of Regina, 3737 Wascana Parkway, Regina, Saskatchewan, Canada, S4S 0A2, Virtual: https://events.vtools.ieee.org/m/427795

Functional Programming is a programming style that is different from the more well-known Structured Programming or Object-Oriented Programming style. Functional Programming relies exclusively on functions as first-class citizens, which means that they are treated like any other values, and they can be passed around as arguments or returned from other functions. Modern applications that involves highly concurrent computing on multicore machines face a big challenge with the machines' "state". All imperative languages, including object-oriented languages, involve multiple threads changing the shared state of objects. This is where deadlocks, stack traces, and low-level processor cache misses all take place. If there is no state, there is no problem. In this workshop, we will explore the principles of Functional Programming and how we can implement those concepts in Java so as to build massively parallel applications in the field of Big Data.Pre-requisite: Knowledge of Java ProgrammingSpeaker(s): Kin-Choong Yow, Agenda: - What is Functional Programming?- Implementing Function Programming Concepts with Java· Introduction to lambda expressions· Manipulating Collections· Strings and Comparators· Lazy Evaluation· Tail-call Optimization· Functional Composition- ExercisesRoom: ED 485.1, Bldg: Education Building, University of Regina, 3737 Wascana Parkway, Regina, Saskatchewan, Canada, S4S 0A2, Virtual: https://events.vtools.ieee.org/m/427795

IEEE KW SECTION EXECUTIVE COMMITTEE MEETING July 2024

Virtual: https://events.vtools.ieee.org/m/427518

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

IEEE Northern Canada Section Summer BBQ July 27 in Edmonton

Bldg: Site 1, 11904 Emily Murphy Park Rd NW, Edmonton, Alberta, Canada

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

Algorithmic Trading and Short-term Forecast for Financial Time Series with Machine Learning Models Implementation and Testing Workshop

Room: 310, Bldg: E, 1000 KLO Rd., Kelowna, British Columbia, Canada, V1Y 4X8, Virtual: https://events.vtools.ieee.org/m/428090

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

A Collision of Trends in Cybersecurity: Understanding the interplay between the Dark Web, Artificial Intelligence, Cyberwarfare, and Cybercrime

Virtual: https://events.vtools.ieee.org/m/425904

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

Careers in Technology Summer Series 2024 – Paul Carney – Unlock Your Business Potential with AI

Virtual: https://events.vtools.ieee.org/m/423706

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

Integration, Interaction, and Symbiosis between Wireless Sensor Networks, Digital Ledger Technologies, and Distributed Systems

Room: EV002.184, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8

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