Interested in aerospace? Come learn from an industry expert about what a career in aerospace may look like. Tad Forsythe is a Lab Test Engineer Specialist at Safran and is excited to interact with WWU EECE students and help connect them with opportunities in his field. Food will be provided! Speaker(s): Tad Room: 213, Bldg: Kaiser Borsari Hall, 516 High St, Bellingham, Washington, United States, 98225

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

Join us for an insightful virtual webinar on “The Engineer’s Guide to AI Strategy: Bridging the Gap Between Business and Technical Reality” hosted by the IEEE Women in Engineering Oregon Section AG and co-hosted by Spokane Section, Seattle Section San Francisco section, Santa Clara Valley Section, and San Fernando Valley Section WIE AG where we challenge the traditional boundaries between strategy, governance, and engineering. The rapid rise of Artificial Intelligence has led to countless “Proof of Concepts” that never make it to production—and production systems that fail spectacularly when they do. Why does this happen? A key reason lies in how organizations traditionally separate Strategy and Governance from Engineering execution. Strategy is often treated as a conceptual exercise, while governance is reduced to compliance checklists—leaving engineers disconnected from the very decisions that shape successful AI systems. In this insightful session, we challenge that paradigm. We will explore how engineers must evolve from execution-focused contributors to strategic decision-makers, integrating governance and strategy as core technical requirements in AI system design. Participants will learn how to bridge the gap between business vision and engineering reality by embedding strategy, governance, and ethical considerations directly into the development lifecycle. Additionally, the session will highlight practical strategies for women in tech to strengthen their influence—through confident communication, strategic thinking, and authentic leadership. Key Learning Objectives – Understand why many AI systems fail to transition from concept to production – Learn how to align engineering decisions with organizational strategy – Explore how to embed governance and safety into AI pipelines – Develop a strategic engineering mindset – Gain practical insights on influencing effectively as a woman in technology Who Should Attend – Engineers and AI practitioners – Early-career professionals and students – Technical leaders and project managers – Anyone interested in AI strategy, governance, and leadership development Speaker(s): Kierra Dotson Agenda: – Welcome & Overview of IEEE WIE Oregon Section Affinity Group – Invited talk from Kierra Dotson – Q/A Session Virtual: https://events.vtools.ieee.org/m/553802