• Workshop on Samsung Biomedical Equipment

    Room: Samsung Lab, Bldg: A3, Progress Campus, Toronto, Ontario, Canada, M1G3T8

    This workshop introduces how to operate Samsung equipment in biomedical lab of Progress campus. Co-sponsored by: Biomedical Engineering Association Room: Samsung Lab, Bldg: A3, Progress Campus, Toronto, Ontario, Canada, M1G3T8

  • U of T IEEE AP-S Student Chapter: OriginLab Tutorial

    Room: BA7180, Bldg: Bahen Centre for Information Technology, 40 St George St., Toronto, Ontario, Canada, M5S 2E4

    It's a cliche that a picture says 1,000 words, but great figures are a key asset to quality publications! Are you struggling to create high quality figures for your paper? Perhaps you're frustrated using PowerPoint or confused by the steep learning curve of TikZ. Regardless we are here to help. The U of T AP-S student chapter is offering a tutorial on OriginLab, a powerful image generation application, this Friday Mar 1st in BA7180 from 2:00pm-3:30pm. OriginLab is capable of easily generating high quality vector graphics for displaying your data or creating diagrams. Coffee and treats will be provided! Please register via IEEE vTools so that we can order the correct amount of food. Also please send an email to stewart.pearson@mail.utoronto.ca if you have any dietary restrictions or preferences. Room: BA7180, Bldg: Bahen Centre for Information Technology, 40 St George St., Toronto, Ontario, Canada, M5S 2E4

  • Network Dynamics-Aware Resource Management for Mobile Edge Computing

    Room: 460, Bldg: Engineering, ENG460 , 245 Church Street, Toronto, Ontario, Canada, M5B 2K3, Virtual: https://events.vtools.ieee.org/m/409530

    The sixth-generation (6G) communication networks are anticipated to enable a variety of innovative applications and provide extreme connectivity for mobile devices. To meet the evolving service demands in highly dynamic network environments, mobile edge computing (MEC) and artificial intelligence (AI) will be two pivotal technologies in 6G. MEC extends computing and storage capabilities within radio access networks, coping with the increasing computing demands from mobile users. Meanwhile, AI facilitates intelligent resource management by enabling network entities to learn and build knowledge about network dynamics. In this talk, we will explore AI-assisted resource management for MEC-enabled networks, addressing the computing challenges caused by device mobility and heterogeneity. We will introduce two AI-assisted resource management approaches, each tailored to support a representative MEC use case: the Internet of Vehicles and mobile virtual reality video streaming. Finally, we will outline a future research plan focused on holistic network virtualization through digital twin technologies, aimed at further enhancing the flexibility and efficiency of AI-assisted network management towards 6G. Room: 460, Bldg: Engineering, ENG460 , 245 Church Street, Toronto, Ontario, Canada, M5B 2K3, Virtual: https://events.vtools.ieee.org/m/409530

  • Mid-infrared Transmitter and Receiver for Free Space Optical SatCom

    Virtual: https://events.vtools.ieee.org/m/408858

    Mid-infrared Transmitter and Receiver for Free Space Optical SatCom Abstract - In this talk, we review efforts of the Xu research group at McMaster to implement a C-band to mid-infrared (3.4-3.5 micron) transmitter and receiver pair. This is accomplished via difference frequency generation and sum frequency generation for the transmitter and receiver modules, respectively. We will go over professional packaging progress, project outcomes, and discuss the significant improvement in conversion efficiency over the reported literature thanks to the intracavity design. Additionally, a link budget model for the C-band and mid-infrared are compared to evaluate pros and cons of potentially adopting mid-infrared for satellite communications, as well as any adjacent applications for the modules. ------------------------------------------------------------------------ Émetteur et récepteur infrarouge moyen pour SatCom optique en espace libre Résumé - Dans cet exposé, nous passons en revue les efforts du groupe de recherche Xu à McMaster pour mettre en œuvre une paire émetteur et récepteur en bande C vers l'infrarouge moyen (3,4-3,5 microns). Ceci est accompli via la génération de fréquence différentielle et la génération de fréquence somme pour les modules émetteur et récepteur, respectivement. Nous passerons en revue les progrès de l'emballage professionnel, les résultats du projet et discuterons de l'amélioration significative de l'efficacité de conversion par rapport à la littérature rapportée grâce à la conception intracavité. De plus, un modèle de bilan de liaison pour la bande C et l'infrarouge moyen est comparé pour évaluer les avantages et les inconvénients de l'adoption potentielle de l'infrarouge moyen pour les communications par satellite, ainsi que de toute application adjacente pour les modules. About / A propos The High Throughput and Secure Networks (HTSN) Challenge program is hosting regular virtual seminar series to promote scientific information sharing, discussions, and interactions between researchers. https://nrc.canada.ca/en/research-development/research-collaboration/programs/high-throughput-secure-networks-challenge-program Le programme Réseaux Sécurisés à Haut Débit (RSHD) organise régulièrement des séries de séminaires virtuels pour promouvoir le partage d’informations scientifiques, les discussions et les interactions entre chercheurs. https://nrc.canada.ca/fr/recherche-developpement/recherche-collaboration/programmes/programme-defi-reseaux-securises-haut-debit Co-sponsored by: National Research Council, Canada. Optonique. Speaker(s): Liam Flannigan, Virtual: https://events.vtools.ieee.org/m/408858

  • Innovating Together: Embracing Diversity in Tech and Academia

    Virtual: https://events.vtools.ieee.org/m/410060

    Explore tech's impact on education and careers while embracing diversity's role. Join us! Our upcoming event aims to explore how technological progress affects education and professional growth, drawing from the experiences and expertise of our expert panelists. Additionally, we'll discuss the integration of diversity into academic programs, workplaces, and product development processes, highlighting its significance. [] Speaker(s): Dr. Marilyn Powers, Stephanie Holko, Manjubasini Raveenthran, SHARON BARNEY MBA PMP, Shermineh Ghasemi (PhD Candidate) Virtual: https://events.vtools.ieee.org/m/410060

  • Video Games System Repair & Modification

    Room: A3-43, Bldg: A, Progress Campus, 941 Progress Ave, Scarborough, Toronto, Ontario, Canada, M1G 3T8

    Join us for an engaging event dedicated to the world of video game console repair and modification! Dive into the intricacies of your favorite gaming devices, including the PlayStation 4 (PS4) and PlayStation Vita (PS Vita), and learn how to breathe new life into them. Event Details: - Date: March 15th, 2024 - Time: 5:00 PM - Location: Room A3-43, Progress Campus What to Expect: - Interactive Learning: We'll start with a comprehensive theory session to cover the essentials of game system repair. Understand what goes into keeping your consoles at their best. - Hands-On Experience: Roll up your sleeves for a group activity where we'll tackle common issues. Using some of my own systems in need of repair, we'll work together to diagnose and fix problems in a supportive and fun environment. Whether you're a seasoned tinkerer or new to the world of DIY repairs, this event promises a blend of learning and entertainment. Don't miss this opportunity to deepen your understanding of video game devices and meet fellow enthusiasts. See you there for a memorable evening of tech, tips, and camaraderie! Co-sponsored by: IEEE Centennial College Student Branch Room: A3-43, Bldg: A, Progress Campus, 941 Progress Ave, Scarborough, Toronto, Ontario, Canada, M1G 3T8

  • Clarifying the Path to Become a Professional Engineer

    Virtual: https://events.vtools.ieee.org/m/406602

    Join us in this fruitful webinar to learn more about the required procedures on obtaining your professional engineering license. Speaker(s): Tracey Caruana, Sami Lamrad Virtual: https://events.vtools.ieee.org/m/406602

  • AWS Hack – Hack the Student Life

    Toronto, Ontario, Canada

    Hack The Student Life" is a one-day hackathon event, collaboratively hosted by the IEEE University of Toronto Student Branch and Amazon Web Service (AWS) Toronto, with sponsorship from Softchoice. This dynamic and fast-paced event will offer University of Toronto students the chance to engage in a hackathon aimed at addressing challenges they have identified on campus through the use of cloud-based solutions. Please note: All applicants have to submit their application on https://hackstudentlife.ca in order to be considered, and this hackathon is only available to University of Toronto students. Co-sponsored by: Amazon Web Service Toronto, Ontario, Canada

  • Well Stirred is Half Measured – EMC Tests in Reverberation Chambers (Dr. Mathias Magdowski)

    Room: BA024, Bldg: Bahen Building, 40 St George street, Toronto, Ontario, Canada

    This talk explains basic properties of reverberation chambers and presents some exemplary practical chambers with their parameters. The normative chamber validation as well as emission measurements and immunity tests are briefly explained. Finally, advantages and disadvantages in comparison with other EMC test environments are discussed. Speaker(s): , Dr. Mathias Magdowski Room: BA024, Bldg: Bahen Building, 40 St George street, Toronto, Ontario, Canada

  • Large Language Models (AI) applications to Cybersecurity

    Room: ENGLG11 , Bldg: George Vari Engineering and Computing Centre (ENG), 245 Church Street, lower level , Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/412758

    Overview The field of Artificial Intelligence is taking the industry (and the world) by storm. The launch of ChatGPT started a mass adoption phenomenon, which is now followed by an avalanche of new products and solutions addressing every possible problem space. Malicious hackers have also put AI to good use, but so did the White Hat hackers, such as Frédéric and his team. This talk will level-set the understanding about Large Language Models (LLM) and Generative AI for computer scientists and software developers who might not be intimately familiar with the field. Frédéric will then take us further into some of the applications in cybersecurity. Abstract Large Language Models and Generative AI have completely reshaped the landscape of Artificial Intelligence the last two years. Progresses have been made on architectures, training methods, and the community has shared large datasets along with pre-trained models, allowing for new usages at a relatively low cost. In the cybersecurity defender's path, new malicious tools drove efforts on innovative methods to improve their detection. We propose a modern and effective method of detecting file maliciousness, by using an LLM initially trained on computer code. The focus will be on the process we set up and the decision we made to solve this problem, with an emphasize of the generalization of our approach. We will explain how LLM can help solve a large panel of problems related to texts. In addition, we will explain the outcomes of this work : in particular, we will explain how we were able to use the trained model and ask it "where it was wrong", shedding lights on errors in the training datasets. We will explain where these errors came from, and how we were able to improve the model iteratively by correcting them, allowing more people to reproduce our findings and fixing pitfalls coming with noisy datasets. Working in a field where sometimes the line is thin between an "administrator" and a "threat actor", we will also open the discussion on how you can define maliciousness depending on your objectives. Key takeaways : -What is an LLM and what it is not? -How much does it cost to use one for our own purpose? -What are the key steps of a training process? -An intro to cybersecurity : what are we trying to detect? -How did we build our datasets? -The results -What can the data engineer and the cybersecurity analyst learn from these results? Co-sponsored by: CIS 2024 | Use this IEEE Promo Code and enjoy 30% off your registration: IEEE_CIS2024 Speaker(s): Frédéric Grelot, Marc Lijour Agenda: 6 pm Welcome and introductions by Marc Lijour 6:30 pm - 7:30 pm Talk: "Demystifying AI and Large Language Models through a concrete use case" by Frédéric Grelot Followed by Q&As 7:30 pm Networking 8 pm The end Room: ENGLG11 , Bldg: George Vari Engineering and Computing Centre (ENG), 245 Church Street, lower level , Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/412758

  • The Origins of Silicon Valley: Lessons for Entrepreneurs, Startups, and Technology Hubs

    Room: MS4171, Bldg: Medical Sciences Building, University of Toronto, St. George Campus, 1 King’s College Circle, Toronto, Ontario, Canada, M5S 1A8, Virtual: https://events.vtools.ieee.org/m/409693

    []Silicon Valley is commonly acknowledged as the tech capital of the world. How did Silicon Valley come into being, and what can we learn? The story goes back to local Hams trying to break RCA's tube patents, Stanford "angel" investors, the sinking of the Titanic, WW II and radar, and the SF Bay Area infrastructure that developed – these factors pretty much determined that the semiconductor and IC industries would be located in the Santa Clara Valley, and that the Valley would remain the world’s innovation center as new technologies emerge, and be the model for innovation worldwide. This talk will give an exciting and colorful history of development and innovation that began in Palo Alto in 1909. You'll meet some of the colorful characters – Cyril Elwell, Lee De Forest, Bill Eitel, Charles Litton, Fred Terman, David Packard, Bill Hewlett, Bill Shockley and others – who came to define our worldwide electronics industries through their inventions and process development. You'll understand some of the novel management approaches that have become the hallmarks of its tech startups. Many of these attributes can be found in other technology hubs; however, the SF Bay Area has five generations of experience, as well as a "critical mass" of talent, making it difficult for others to catch up. In this talk, the key attributes will be illustrated and analyzed, for consideration by other tech hubs, and for entrepreneurs interested in creating their own start-ups or understanding them. Speaker(s): Paul Wesling, Agenda: The event will start at 11:30AM with a short networking interaction. The talk will then begin at 12:00PM and conclude around 1-1:15PM, with questions for the last 10-15 minutes of the talk. Food and drink will be provided. Room: MS4171, Bldg: Medical Sciences Building, University of Toronto, St. George Campus, 1 King’s College Circle, Toronto, Ontario, Canada, M5S 1A8, Virtual: https://events.vtools.ieee.org/m/409693