BEGIN:VCALENDAR VERSION:2.0 PRODID:-//IEEE Toronto Section - ECPv6.15.17//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.ieeetoronto.ca X-WR-CALDESC:Events for IEEE Toronto Section REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20230101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=UTC:20240801T110000 DTEND;TZID=UTC:20240801T120000 DTSTAMP:20260502T185448 CREATED:20240717T174611Z LAST-MODIFIED:20240731T183105Z UID:10000827-1722510000-1722513600@www.ieeetoronto.ca SUMMARY:Federated Learning in Resource Limited Wireless Networks DESCRIPTION: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 URL:https://www.ieeetoronto.ca/event/federated-learning-in-resource-limited-wireless-networks/ LOCATION:Room: 460\, Bldg: ENG\, 245 Church Street\, Toronto\, Ontario\, Canada\, M5B 1Z4 END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240812T130000 DTEND;TZID=UTC:20240812T170000 DTSTAMP:20260502T185448 CREATED:20240731T183105Z LAST-MODIFIED:20240811T191611Z UID:10000829-1723467600-1723482000@www.ieeetoronto.ca SUMMARY:IEEE Canada Blockchain Forum 2024 (2nd edition) DESCRIPTION:The IEEE Blockchain Forum is returning as part of (https://www.canadacryptoweek.com/) for a second edition. The goal of this forum is to congregate BUIDLers\, researchers\, academics\, and engineers building blockchain protocols\, infrastructure\, and decentralized software applications. Our theme for this year is Securing Blockchain infrastructure for the Financial Services Industry. Since our last gathering\, two ETF launches brought the crypto industry a mile or two closer to mass adoption. The ranks of institutional players such as JP Morgan\, Goldman Sachs\, Société Générale (socgen)\, and others keep growing. Beyond the realm of finance\, enterprise blockchain has found its way to the technology stack of industry leaders as diverse as Toyota\, L’Oréal\, Visa\, and Samsung to name few. Still\, this technology is fairly new. For example\, the Ethereum network (the world computer doted with a Turing-complete programming language) went live only 9 years ago\, on July 30th\, 2015. A lot more work is required for the technology to mature\, particularly on the cybersecurity front. Although the public chains have proven reliable in securing assets\, bridges and other smart contracts have proven to be less worthy of trust. As blockchain technology becomes one of the key issues shaping the public discourse during the US presidential election\, industry leaders will soon be faced by questions regarding quality of service\, ethical use\, and its level of security. This forum invites researchers and engineers to share their research and best practices to secure blockchain infrastructure for the core services our industry and our society rely upon\, starting with the financial services. Speakers include – David Barreto\, Developer Advocate at Starknet Foundation – Baltazar Rodriguez\, Acting Head at the BIS Toronto Innovation Hub – Dr. Soosan Naderi\, Blockchain Director at Cyber Security Global Alliance (CSGA) – Zhiyang Chen\, PhD student at University of Toronto – Adit Patel\, Co-founder of Blockscope – Irene Katzela\, CTO at Dandelion – Marc Lijour\, Financial Services Innovation at Exaion and Adjunct Faculty at International Business University – Christian St. Louis\, Data & Research at Ethereal Ventures – Andres Assmus\, CEO at CityZeen – Sam Drissi\, CEO at Artizyou – Opinder Preet Singh\, Founder & CEO at PropTy – Ehsan Shariati\, COO and Co-founder at Functionland – Géraldine Jippé\, COO and co-founder of AssetsWaves – Dr. Keerthi Nelaturu\, Technical Advisor at the Bank for International Settlements (BIS) Co-sponsored by: Ontario Centre of Innovation\, Exaion\, Starknet\, InCyber Forum North America Speaker(s): Baltazar Rodriguez\, David Barreto\, Soosan Naderi\, Zhiyang Chen\, Marc Lijour\, Irene Katzela Agenda: Agenda 1pm – 1:15 pm Welcome and introductions – Marc Lijour and Irene Katzela\, co-chairs of the Toronto IEEE Blockchain local group 1:15 pm – 1:30 pm Welcome from our sponsor and host: Ontario Centre of Innovation (OCI) 1:30pm – 2pm Talk #1: Evolving Financial Landscapes: A Pragmatic Approach to Blockchain Integration By Baltazar Rodriguez\, Acting Head\, BIS Innovation Hub Toronto 1:30pm – 2pm Talk #2: Cairo\, a general purpose CPU for creating verifiable programs By David Barreto\, Developer Advocate at Starknet Foundation 2pm – 2:30 pm Panel discussion – Securing public blockchains Moderator: Marc Lijour Panelists: David Barreto\, Adit Patel\, Soosan Naderi\, Zhiyang Chen\, Christian St. Louis\, Ehsan Shariati 2:30pm – 3pm Talk #3: Data propagation\, security and consensus in Ethereum network By Soosan Naderi\, PhD\, Blockchain Director at Cyber Security Global Alliance (CSGA) 3 pm – 3:30 pm Talk #4: Demystifying Invariant Effectiveness for Securing Smart Contracts By Zhiyang Chen\, PhD student at the University of Toronto and Research Engineer at Zircuit 3:30pm – 4 pm Panel discussion – RWA Tokenization Moderator: Marc Lijour Panelists: Opinder Preet Singh\, Sam Drissi\, Andres Assmus\, Dr. Irene Katzela\, Géraldine Jippé 4 pm – 5 pm Networking Room: Suite 300\, 325 Front Street West\, 3rd floor\, Toronto\, Ontario\, Canada\, M5V 2Y1 URL:https://www.ieeetoronto.ca/event/ieee-blockchain-forum-2024-2nd-edition/ LOCATION:Room: Suite 300\, 325 Front Street West\, 3rd floor\, Toronto\, Ontario\, Canada\, M5V 2Y1 END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240819T180000 DTEND;TZID=UTC:20240819T190000 DTSTAMP:20260502T185448 CREATED:20240809T191610Z LAST-MODIFIED:20240818T193120Z UID:10000830-1724090400-1724094000@www.ieeetoronto.ca SUMMARY:Introduction to Digital Marketing: Building Your Online Presence DESCRIPTION:Join this virtual workshop to explore essential platforms and strategies for building your online presence. Delve into Meta Ads creation\, optimization\, and analytics\, and gain the skills to craft compelling campaigns. Learn to navigate additional advertising platforms such as Google Ads and master the fundamentals of Google SEO. Discover which platform best suits your unique needs and how to effectively utilize them to enhance your online presence. Whether you’re a beginner or looking to refine your digital marketing skills\, this workshop will provide you with the knowledge and tools to succeed in the digital world. Speaker(s): \, Ayda Naseri Virtual: https://events.vtools.ieee.org/m/430054 URL:https://www.ieeetoronto.ca/event/introduction-to-digital-marketing-building-your-online-presence/ LOCATION:Virtual: https://events.vtools.ieee.org/m/430054 END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240820T160000 DTEND;TZID=UTC:20240820T170000 DTSTAMP:20260502T185448 CREATED:20240613T163257Z LAST-MODIFIED:20240819T193142Z UID:10000817-1724169600-1724173200@www.ieeetoronto.ca SUMMARY:Supporting Patient-Clinician Collaboration on Shared Surfaces DESCRIPTION:[] Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a talk on the Supporting Patient-Clinician Collaboration on Shared Surfaces\, presented by Dr. Fateme Rajabiyazdi from Carleton University. Tuesday\, August 20\, 2024 @ 4:00 – 5:00 PM Abstract: Patient health data needs to be discussed between patients and clinicians to make treatment decisions\, inform lifestyle changes and improve care management. Sharing this data is necessary to allow for the simultaneous review of\, interaction with\, and manipulation of the data. However\, there is a lack of meaningful collaboration and appropriate technological tools to enable close interactions between the clinical team and patients. Standard technological devices (i.e.\, a computer\, a desktop monitor) and systems (i.e.\, electronic health records) that are available in clinics do not have the capabilities to facilitate a patient’s view or understanding of the data\, nor interactions with their data. As a result\, patients are not empowered to share health responsibilities with clinicians to discuss and make clinical care decisions. In this talk\, Dr. Rajabiyazdi will discuss their progress in designing innovative technological data-centric systems displaying patient health data on shared surfaces to empower patient-clinician interaction using an iterative people-centered method. Speaker(s): Fateme Rajabiyazdi\, Ph.D.\, P.Eng. Virtual: https://events.vtools.ieee.org/m/423931 URL:https://www.ieeetoronto.ca/event/supporting-patient-clinician-collaboration-on-shared-surfaces/ LOCATION:Virtual: https://events.vtools.ieee.org/m/423931 END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240821T133000 DTEND;TZID=UTC:20240821T150000 DTSTAMP:20260502T185448 CREATED:20240817T193200Z LAST-MODIFIED:20240820T193113Z UID:10000831-1724247000-1724252400@www.ieeetoronto.ca SUMMARY:Analog Optical Computing for sustainable AI and beyond DESCRIPTION:Abstract : Digital computing is approaching its fundamental limits just as compute-intensive workloads like machine learning are taking off. To address this\, we are building a new kind of computer–an analog optical computer–to accelerate AI inference and hard optimization workloads. The computer has the potential to improve the efficiency and sustainability of these workloads by around 100x by stepping away from several fundamentally limiting aspects of general-purpose digital computing. It leverages chip-scale optical and electronic technologies from the consumer space that are low cost and scalable. In this talk\, I will describe two generations of this computer that we have built\, outline our roadmap for scaling\, and discuss the importance of hardware-software co-design for such emerging computers and their potential for accelerating real-world problems in the post-Moore Law’s era. Speaker(s): Dr. Hitesh Ballani\, Bldg: McConnell Engineering building\, \, Room MC603\, 6th floor\, 817 Sherbrooke St W\, \, Montreal\, Quebec\, Canada\, H3A 0C3\, Virtual: https://events.vtools.ieee.org/m/430520 URL:https://www.ieeetoronto.ca/event/analog-optical-computing-for-sustainable-ai-and-beyond/ LOCATION:Bldg: McConnell Engineering building\, \, Room MC603\, 6th floor\, 817 Sherbrooke St W\, \, Montreal\, Quebec\, Canada\, H3A 0C3\, Virtual: https://events.vtools.ieee.org/m/430520 END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240821T163000 DTEND;TZID=UTC:20240821T173000 DTSTAMP:20260502T185448 CREATED:20240613T163257Z LAST-MODIFIED:20240820T193113Z UID:10000818-1724257800-1724261400@www.ieeetoronto.ca SUMMARY:Materials As Machines DESCRIPTION:[]Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a talk on the Materials As Machines\, presented by Dr. Irina Garces from Carleton University. Wednesday\, August 21\, 2024 @ 4:30 – 5:30 PM Abstract: The Materials as Machines Lab specializes in developing systems and devices geared toward producing material systems that can adapt or be tailored to variable operating conditions. Our focus lies in the development of smart material systems applicable across a spectrum of fields\, including deployable actuators\, manipulators\, soft robotics\, wearables\, and biomedical applications. Leveraging additive manufacturing\, these innovative material systems offer practical\, cost-effective solutions for engineering challenges. By integrating sensors into multifunctional actuating materials\, we create dynamic structures and assemblies capable of self-sensing and adaptation. In this presentation\, Dr. Garces will present their ongoing research on self-sensing actuation\, tailored additive manufacturing\, and explore the transformative potential of this technology in prosthetics\, and examine its diverse applications across industries. Speaker(s): Irina Garces\, Ph.D. Virtual: https://events.vtools.ieee.org/m/424150 URL:https://www.ieeetoronto.ca/event/materials-as-machines/ LOCATION:Virtual: https://events.vtools.ieee.org/m/424150 END:VEVENT END:VCALENDAR