• IEEE iGET 2026 – Five Days of Innovation, Research, AI & Global Collaboration

    7905 Irvine Center Dr, Irvine, California, United States, 92618, Virtual: https://events.vtools.ieee.org/m/583376

    Dear Colleagues, We are excited to invite you to IEEE iGET 2026 – Global Emerging Technology Conference, hosted in Southern California for the first time, taking place October 21–25, 2026, in Irvine, Orange County, California. [] What to Expect Expert-Led Workshops Hands-on and practical sessions covering Agentic AI, LLMs, domain-specific AI, responsible innovation, production AI systems, AI-agent evaluation, autonomous-agent controls, and more. Global Hackathons – 1,700+ Participants Worldwide IEEE iGET 2026 is connected with two global innovation initiatives: - OneAquaHealth Global Hackathon - Climate Chain Global Hackathon Together, these programs have engaged 1,700+ participants worldwide, bringing together students, researchers, developers, healthcare professionals, technologists, and innovators to develop solutions to real-world challenges. OneAquaHealth focuses on the intersection of human health, aquatic ecosystems, environmental sustainability, digital health, data, and community engagement. Participants have explored solutions spanning environmental monitoring, health technologies, data visualization, sustainability, and digital-health standards. The OneAquaHealth program also included multiple learning sessions with international experts, helping participants move from challenge identification to solution development. A major highlight of IEEE iGET 2026 will be the recognition of the OneAquaHealth Global Hackathon Winner during the Award Ceremony on Friday, October 23. The conference will also recognize: - Best Student Poster Award - Best Paper Award The Climate Chain Global Hackathon complements this effort by encouraging solutions around climate resilience, sustainability, AI, blockchain, and emerging technologies. Together, these initiatives showcase how global collaboration can translate emerging technologies into solutions with meaningful societal impact. Industry Keynote Speakers Hear from experienced industry leaders and experts sharing insights on AI, healthcare innovation, emerging technologies, enterprise transformation, and responsible innovation. 50+ Scientific Paper Presentations Explore cutting-edge research and technical advances across AI, engineering, healthcare, and emerging technologies. Student Poster Competition – 25+ Submissions Discover innovative student research and connect with the next generation of researchers and engineers. Student Entrepreneur & Pitch Program An opportunity for students and aspiring founders to present ideas, receive feedback, build connections, and explore entrepreneurship. Agenda: Conference at a Glance Wednesday, October 21 – Site Visits & Networking Site visit in Orange County followed by networking and reception. Thursday, October 22 – Technical Program Day Keynote, technical paper presentations, student poster competition, virtual workshops, and closing keynote. Friday, October 23 – Healthcare Innovation Day Healthcare keynote, expert-led workshops, award ceremony, and closing keynote. Saturday, October 24 – Emerging Technology Day Emerging technology keynote, workshops, student pitch competition, and closing keynote. Sunday, October 25 – Closing Day Hands-on autonomous-agent workshop, closing keynote, vote of thanks, and box lunch to go. 7905 Irvine Center Dr, Irvine, California, United States, 92618, Virtual: https://events.vtools.ieee.org/m/583376

  • Power System Modeling: What Makes a Model Meaningful

    Virtual: https://events.vtools.ieee.org/m/579515

    TBD Power system models are essential for planning, analysis, and operational studies, but a model that reproduces a measured response is not necessarily a meaningful model. This presentation examines what makes a power system model meaningful in practice, drawing on extensive experience in model development, parameterization, validation, field testing, and application of generic and vendor-specific models. The presentation will discuss the role of models, the information they can reliably represent, and their inherent limitations. It will also consider how modeling objectives, available data, model structure, and parameter uncertainty affect the interpretation and use of simulation results. Examples from generation, inverter-based resources, and transmission systems will illustrate why meaningful modeling requires more than simply matching measurements. Co-sponsored by: University of California, Riverside Speaker(s): Dr. Pouyan Poubeik (IEEE Fellow), Virtual: https://events.vtools.ieee.org/m/579515