Events for March 27, 2026

The rapid expansion of the Internet of Things (IoT) is transforming sensing infrastructures into large-scale distributed cyber-physical systems. However, conventional IoT architectures remain largely cloud-centric, relying on continuous data transmission and centralized processing. Such designs introduce fundamental challenges in energy consumption, communication bandwidth, latency, and privacy exposure, particularly as the number of connected devices continues to grow. This talk introduces the emerging paradigm of the Artificial Intelligence of Things (AIoT), where intelligence is embedded directly within sensing devices through edge computing and TinyML techniques. By enabling machine learning inference on resource-constrained microcontrollers, AIoT systems can transform traditional sensors into autonomous, context-aware intelligent nodes capable of performing real-time decision making. Beyond presenting representative AIoT systems and applications, this talk also examines broader research challenges shaping the future of AIoT systems, including platform fragmentation, intelligent sensor deployment, secure federated learning, and the need for autonomous and scalable IoT architectures. In particular, we discuss how edge-intelligent AIoT systems can support emerging digital twin frameworks, enabling event-driven monitoring and scalable healthcare applications while reducing continuous data streaming. The presentation concludes with an overview of modern development pipelines for deploying machine learning models on edge devices using frameworks such as TinyML toolchains, highlighting future research opportunities in distributed intelligent sensing systems. Speaker(s): Minhee, Bldg: Scullen Conference Room (Pangborn Hall 110), The Catholic University of America, 620 Michigan Avenue N.E, 20064, District of Columbia, United States, 20064, Virtual: https://events.vtools.ieee.org/m/549200

[] Designing Your Early Career: LinkedIn, Resume & Interview Strategy That Works Breaking into today’s competitive job market requires more than technical excellence. It requires clarity, positioning, and the ability to communicate your value with confidence. In this practical and engaging session, career strategist Shima Ghaheri shares how hiring managers actually evaluate candidates — and how students and early-career professionals can strategically present their academic work, projects, internships, and experiences to stand out. Participants will learn how to: - Build a LinkedIn profile that signals clarity and direction - Structure resumes around measurable impact rather than task lists - Approach interviews with preparation and strategic storytelling - Translate technical competence into compelling professional narratives Designed specifically for college students and entry-level professionals, this session offers actionable tools to move from being “qualified on paper” to being selected with confidence. By making hiring systems more transparent, the session aims to reduce opportunity gaps and empower participants to compete through preparation, clarity, and strategy. Whether you are preparing for internships, full-time roles, or your next career move, this session will equip you with frameworks you can implement immediately. Co-sponsored by: IEEE SFV Virtual: https://events.vtools.ieee.org/m/541336