Events

Abstract: The next generation of wireless networks will no longer be confined to moving bits — they will sense, communicate, and learn simultaneously. This convergence is anticipated to enable distributed intelligence across devices, unlocking new capabilities for real-time perception and decision-making in dynamic environments. In this talk, two complementary advances in federated signal processing will be presented. First, an over-the-air federated edge learning (OTA-FEEL) framework with integrated radar sensing will be discussed. By leveraging echoes from the environment, rather than treating them solely as interference, robust model aggregation will be maintained while ensuring high-quality sensing and communication performance. A joint scheduling and beamforming design will be presented, supported by low-complexity optimization techniques, to preserve aggregation accuracy under realistic wireless conditions. Second, FedTrack, a novel federated learning–inspired algorithm for distributed target tracking, will be presented. By treating local log-likelihood functions as loss functions in a distributed optimization framework, FedTrack enables devices to collaboratively estimate a moving target’s position and velocity. This communication-efficient method closely approximates centralized maximum likelihood estimation, achieving accuracy near the Cramér–Rao bound while reducing reliance on a central coordinator. Together, these developments illustrate how federated intelligence over the air can transform 6G networks into systems that not only communicate but also sense and learn collaboratively. Implications for autonomous systems, smart cities, and beyond will be discussed, with emphasis on the central role of signal processing innovations in realizing this vision. Room: MCLD 3038, Bldg: Hector J. MacLeod Building - MCLD, 2356 Main Mall, Vancouver, BC V6T 1Z4, Vancouver, British Columbia, Canada, Virtual: https://events.vtools.ieee.org/m/552228

Future of communication and sensing network is being transformed with the advancement in next generations of wireless with Beyond-5G, beyond-WiFi-8, ICAS, NTN, VR/XR/Metaverse, Digital-Twin and other emerging applications. Higher quality of experiences for connected future with ubiquitous lowest latency and superhigh data rate connectivity services will require innovative wireless technologies and communication hardware combined with AI/ML. Mobile platform integrated RF systems with antenna front ends are common factor for most of the wireless applications. Emerging usage scenarios will need intelligent mobile platforms with ultra-small form-factor, requiring co-design and heterogeneous integration of dis-similar semiconductor device, circuit and antenna technologies, in order to satisfy the desired application-specific performance criteria for the evolving use cases. This presentation will present the emerging technology trends and will focus on the antenna-integrated RF to mm-wave/THz array integrated frontend opportunities and challenges demanding new technology, design, development and integration. Example architectures to enable multifunction microsystem platform will be discussed. Speaker(s): Dr. Debabani Choudhury, Agenda: - 6:30 - 7:00 PM Networking - 7:00 - 8:00 PM Technical Talk Bldg: Cal Lutheran Center for Entrepreneurship (Hub101), 31416 Agoura Rd, Westlake Village, California, United States, 91361, Virtual: https://events.vtools.ieee.org/m/494694

EXCOM Meeting for IEEE PES Seattle Officers Virtual: https://events.vtools.ieee.org/m/521447

IEEE New Era AI 2024 Workshop series Early Bird extended: 50% off before May 10, 50% off: Student $10, IEEE member: $17, Non-IEEE $30, Remote $20 Certificate $7 I [] Come to Master the new generation of intelligent, event-driven applications—where you transform input instantly into AI Agents, AI-guided decisions, and automate real-world actions. Take away an actionable portfolio for your future. For healthcare professionals, multimodal prototyping tools are used to analyze medical imagery such as X-rays and pathology slides. For Data scientists and analysts - process research papers, survey responses, or unstructured datasets at scale. For Software engineers - integrate RAG-based chatbots into existing applications to surface answers from knowledge bases. For Business analysts: extract structured data to derive insights without complex parsing logic. For Students and Researchers -prototyping an AI assistant that helps with literature review, data labeling, or experiment documentation. Takeaway: Master the next generation of AI. By the end of this session, you’ll have a portfolio-ready project and the specialized skills to create actionable AI-guided results, setting your expertise apart in this competitive world. No Code skill required. Hybrid. IEEE Certificate Available Speakers Nithin Vommi is an Engineering Manager at Amazon Web Services, where he has spent nearly a decade building and scaling large-scale distributed systems. He leads AWS Lambda streaming and queueing platforms, focusing on serverless architectures and event-driven systems. Nithin has published technical articles, holds patents, and speaks at AWS events, including re: Invent. Over his time at AWS, he has launched more than a dozen customer- facing features on serverless platforms, several of which were highlighted at AWS re: Invent and are broadly adopted by enterprises. His current interests include serverless, generative AI, and event-driven design patterns. Mr. Ravi Godugu is a seasoned Software Engineer at AWS Computing Tejas Ghadge is the engineering head for AWS Amplify, AWS Lambda Event-Driven Applications, and AWS Lambda Developer Experience, where he leads an organization of 100+ engineers/managers across multiple sites in the US and Canada. With over 14 years of experience at AWS, Tejas brings deep operational and architectural experience from - operating large-scale (millions of requests per second) event-driven systems, leading and analyzing hundreds of operational incidents, and successfully launching dozens of delightful customer features for AWS Lambda and AWS Amplify customers. Technical Requirements Laptop with a modern web browser (Chrome, Firefox, or Edge) 2. Stable internet connection 3. No local software installation required — labs run in a browser-based IDE and a temporarily provided AWS account 4. No prior machine learning or data science experience required - IEEE Professional certificate and Hrs will be offered to those attendees who pass a simple quiz at the end of class, with a $7 fee. Parking : Click on the following link: https://www.offstreet.io/events/XM21K0JV and enter your vehicle license plate. Co-sponsored by: Neha, Shiny, Mike, Anil, sheree Speaker(s): Nithin, Room: 142, Bldg: Harding Building, 1215 E Columbia St , Seattle,, Washington, United States, 98122, Virtual: https://events.vtools.ieee.org/m/556516

Please Join the IEEE Seattle Section May EXCOM & AWS AI workshop May 12th 7:30pm - 8:45 PM Seattle Section EXCOM 7:30 PM - 8:30 PM EXCOM meeting 1) Approve the April 2026 meeting minutes 2) Treasure report, 3) Elections 4) Session Business. 5) Chapter, affinity Group, and Student Branch report. 6) Other Business. May 12th, 5:30 pm- 7:30 pm Building Powerful AI Serverless Applications Workshop with AWS IEEE New Era AI 2024 Workshop series Early Bird extended: 50% off before May 10, 50% off: Student $10, IEEE member: $17, Non-IEEE $30, Remote $20 Certificate $7 IEEE Seattle EXCOM member free I [] Come to Master the new generation of intelligent, event-driven applications—where you transform input instantly into AI Agents, AI-guided decisions, and automate real-world actions. Take away an actionable portfolio for your future. For healthcare professionals, multimodal prototyping tools are used to analyze medical imagery such as X-rays and pathology slides. For Data scientists and analysts - process research papers, survey responses, or unstructured datasets at scale. For Software engineers - integrate RAG-based chatbots into existing applications to surface answers from knowledge bases. For Business analysts: extract structured data to derive insights without complex parsing logic. For Students and Researchers -prototyping an AI assistant that helps with literature review, data labeling, or experiment documentation. Takeaway: Master the next generation of AI. By the end of this session, you’ll have a portfolio-ready project and the specialized skills to create actionable AI-guided results, setting your expertise apart in this competitive world. No Code skill required. Hybrid. IEEE Certificate Available Speakers Nithin Vommi is an Engineering Manager at Amazon Web Services, where he has spent nearly a decade building and scaling large-scale distributed systems. He leads AWS Lambda streaming and queueing platforms, focusing on serverless architectures and event-driven systems. Nithin has published technical articles, holds patents, and speaks at AWS events, including re: Invent. Over his time at AWS, he has launched more than a dozen customer- facing features on serverless platforms, several of which were highlighted at AWS re: Invent and are broadly adopted by enterprises. His current interests include serverless, generative AI, and event-driven design patterns. Mr. Ravi Godugu is a seasoned Software Engineer at AWS Computing Tejas Ghadge is the engineering head for AWS Amplify, AWS Lambda Event-Driven Applications, and AWS Lambda Developer Experience, where he leads an organization of 100+ engineers/managers across multiple sites in the US and Canada. With over 14 years of experience at AWS, Tejas brings deep operational and architectural experience from - operating large-scale (millions of requests per second) event-driven systems, leading and analyzing hundreds of operational incidents, and successfully launching dozens of delightful customer features for AWS Lambda and AWS Amplify customers. Technical Requirements Laptop with a modern web browser (Chrome, Firefox, or Edge) 2. Stable internet connection 3. No local software installation required — labs run in a browser-based IDE and a temporarily provided AWS account 4. No prior machine learning or data science experience required - IEEE Professional certificate and Hrs will be offered to those attendees who pass a simple quiz at the end of class, with a $7 fee. Parking : Click on the following link: https://www.offstreet.io/events/XM21K0JV and enter your vehicle license plate. Co-sponsored by: Neha, Shiny, Mike, Anil, sheree Speaker(s): Nithin, Agenda: Many 12th, 7:30 pm-8:45 PM 7:30pm - 8:45 PM Seattle Section EXCOM 7:30 PM - 8:45 PM EXCOM meeting 1) Approve the April 2026 meeting minutes 2) Treasure report, 3) Elections 4) Session Business. 5) Chapter, affinity Group, and Student Branch report. 6) Other Business. Room: 142, Bldg: Harding Building, 1215 E Columbia St , Seattle,, Washington, United States, 98122, Virtual: https://events.vtools.ieee.org/m/558473

IEEE Seattle Section and Central Washington University IEEE Student Branch are cohosting a tour to the Wild Horse Wind Farm, a 273 MW wind farm designed by Puget Sound Energy that consists of 149 wind turbines to power over 58000 homes. Whether you're interested in a career in power engineering or you just want to go for a tour just for fun, this is a great opportunity to build connections with the broader IEEE community across Washington State and learn something new. The details about the schedule are listed below. Agenda 11:00 AM - 11:30 AM: Arrival and Networking 11:30 AM - 12:00 PM: Check-in 12:00 PM - 2:00 PM: Tour Bldg: Wild Horse Wind & Solar Facility, 25901 Vantage Hwy, Ellensburg, Washington, United States, 98926