Autonomous mobility is largely approached as a vehicle-centric problem. Persistent challenges in safety, scalability, and public trust suggest a deeper issue: “intelligence” is often considered in isolation rather than as distributed. This presentation argues that truly safe and trustworthy autonomy will emerge only through symbiotic computational systems, where perception, decision-making, and control are distributed across humans, machines, and infrastructure. The presentation starts with an overview of the four decades-long progress in autonomous driving and related advancements in driver assistance technologies. It is followed by a discussion of the central thesis: that many failures in autonomous mobility stem not from algorithms alone, but from how system boundaries are defined— what is sensed, where intelligence resides, and how responsibility is shared. Framing autonomy as a systems- level problem, the talk draws on principles of distributed and embodied cognition to unify perspectives from robotics, artificial intelligence, human–computer interaction, and transportation engineering. Concrete examples from multidisciplinary research by the CVRR and LISA teams at UC San Diego, conducted on real vehicles in real-world driving environments and validated through both quantitative benchmarks and qualitative studies in collaboration with industry partners, illustrate how shared autonomy can tightly couple human state (e.g., intent, attention, readiness) with environmental context to enable safer and more adaptive human–AI interaction. The lecture also discusses how advances in foundation models, self-supervised learning, and active learning can improve generalization and robustness in safety-critical settings. The talk concludes with key open challenges, including multimodal foundation models for traffic ecosystems, human–AI co-adaptation, and continual learning under domain shift, important problems to realize scalable, trustworthy autonomous mobility. Co-sponsored by: Vishnu S. Pendyala, San Jose State University Speaker(s): Professor Mohan Trivedi, Dr. Vishnu S Pendyala Room: MLK Room 225, Dr. Martin Luther King, Jr. Library (SJSU), 150 E San Fernando St San Jose, California 95112, San Jose, California, United States, Virtual: https://events.vtools.ieee.org/m/556950
Events
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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 |
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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 |
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EXCOM Meeting for IEEE PES Seattle Officers Virtual: https://events.vtools.ieee.org/m/521447 |
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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
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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 |
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1 event,AI-Ready Workforce Certificate | WSU Everett | May 14-15 [] Program Description The AI-Ready Workforce Certificate is an intensive, two-day, practice-focused training designed to equip students with the AI skills employers increasingly expect - across industries and roles. This program emphasizes hands-on application, ethical and secure AI use, and real workplace workflows participants can immediately apply in internships, entry-level roles, and current jobs. Format: In-person, two-day training Dates: Thursday-Friday, May 14-15 Schedule: 8:30 AM - 5:00 PM WSU Everett, Room 102 Includes: Coffee, snacks, and lunch Certificates: Distributed digitally at program completion What You'll Learn - Understand AI foundations and how AI is used in modern workplaces - Work effectively with AI tools and agents as part of professional teams - Apply ethical, safe, and secure AI practices - Build practical prompts and AI-enabled workflows for real tasks What You'll Take Away - A WSU AI-Ready Workforce Certificate (non-credit, co-curricular) - Demonstrate, job-ready AI skills - Confidence using AI responsibility in academic and professional environments. The certificate may be listed on resumes, LinkedIn profiles, Handshake, and professional portfolios as evidence of applied AI competence. Registration Price is determined based on registration type that is selected. - WSU student - $35 - Non-WSU student - $50 - Industry - $75 When paying, just enter email and checkout as a guest. (No need for login to TouchNet.) Contact everett.it@wsu.edu for any questions on this program. (https://secure.touchnet.net/C20607_ustores/web/product_detail.jsp?PRODUCTID=3890&FROMQRCODE=true) Room: Room 102, Bldg: WSU Everett University Center, 915 N Broadway, Everett, Washington, United States |
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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 |
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1 event,We are searching for the next group of dedicated students to join our IEEE Student Affinity Branch, the Power and Energy Society. The section will hold events alongside the main student branch to strengthen the involvement of our power programs at WWU. Be part of the movement and cast your vote! Virtual: https://events.vtools.ieee.org/m/558860 |
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The IEEE Computer Society Seattle Section and the IEEE UW Bothell Student Chapter invite you to an evening of engaging session featuring two expert speakers sharing insights on cutting-edge advancements in Artificial Intelligence and large-scale data systems. As part of the program, Madhvi Sharma, Senior Engineering Manager at Oracle Health Data Intelligence, will present “Transforming Healthcare with AI”. Isaac Dasari, Data Engineer specializing in large-scale data and analytics systems, will present “Designing Petabyte-Scale Data Systems for Modern Analytics and AI”. Why Attend? - - Gain insights from industry experts - Discover real-world applications of AI and data engineering - Network with peers and professionals - Stay ahead in the rapidly evolving tech landscape Hosted by: IEEE Computer Society Seattle Section & IEEE UW Bothell Student Chapter Audience: Software engineers, system architects, cloud engineers, IoT developers, and students interested in scalable system design We look forward to seeing you there! Speaker(s): Madhvi Sharma, Isaac Dasari Agenda: 05:30 PM Welcome and refreshments 05:45 PM Transforming Healthcare with AI 06:30 PM 15-min break 06:45 PM Designing Petabyte-Scale Data Systems for Modern Analytics and AI 07:30 PM Networking + Wrap up Room: UW1-261, Bldg: UW1, 18115 Campus Way NE, Bothell, Washington, United States, 98011, Virtual: https://events.vtools.ieee.org/m/550555 |
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Join us for our IEEE Young Professionals Graduation Social — a casual evening to unwind, connect, and celebrate the close of the school year! Come enjoy games, finger foods, drinks, and great conversations with students, young professionals, and peers in the community. Whether you’re looking to expand your network or just hang out and have fun, this is the perfect opportunity to relax and connect before summer begins! We will also be presenting graduating stoles to students who submitted the form for the initiative. Agenda: 6:00PM Welcomes 6:15PM Introductions 6:30-8:30PM Games and Network 731 Westlake Ave N , Seattle, Washington, United States, 98109 |
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Hello Everyone, We are excited to invite you to attend the 2026 UW IEEE Spring Conference this year on Saturday, May 23, from 2:00 to 5:30 PM in HUB 334 at University of Washington, Seattle! More information is provided below. Details: - When: May 23rd, 2:00 PM – 5:30 PM - Where: HUB 334, UW Seattle - What: The UW IEEE Student Branches from Bothell, Seattle, and Tacoma host this social event annually at UW Seattle to bring the community together and support students as they transition from students to young professionals. Activities include icebreakers, trivia, networking, and keynote speakers throughout the event. - Visitor Parking: Free after 12 PM on Saturdays in most lots. More information can be found here: (https://transportation.uw.edu/park/visitor) Registration is open until the start of the event, so sign up now: https://forms.gle/shfWg5CTBverB7jb8 Room: 334, Bldg: HUB, 4001 E Stevens Way NE, Seattle, Washington, United States, 98195 |
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EXCOM Meeting for IEEE PES Seattle Officers Virtual: https://events.vtools.ieee.org/m/521448 |
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IEEE WIE AG Schenectady is going to organize WIE Distinguished Lecture (virtual webinar) on "Human System Engineering Initiatives: From Human Views to Human Readiness Levels" on 5 June 2026, Friday, 12-1 pm EDT. The speaker is Holly A. H. Handley, PhD, PE, the Interim Dean of the Interdisciplinary Schools and a Professor in the Engineering Management and System Engineering Department of Old Dominion University (ODU). This talk discusses the role of Human System Engineering within the System Engineering discipline. It describes two initiatives that are enabling better integration of humans and systems. The Human Views comprise a system architecture viewpoint that provides a perspective on the human roles, activities, and information flows required by a complex system. The Human Readiness Levels assess the degree to which human-focused requirements are incorporated into design decisions and the readiness of a system to interact with its human operator. Together these two efforts encourage System Engineering for the total system by supporting a comprehensive integration of the human component into the systems engineering effort, which is critical to the design, development, and operation of successful systems. Current standards and applications of both initiatives will be included. Speaker(s): Holly Handley Virtual: https://events.vtools.ieee.org/m/550987 |
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