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Monday 30 November 2026 at 10:00 AM CET, 04:00 PM CST China By Valeriy Vyatkin (Aalto University, Finland) and Franco Cavadini (CTO at gr3n, Italy) Register now using the link below: https://attendee.gotowebinar.com/register/7511061255955733595 Abstract: Artificial intelligence is moving from experimentation toward practical deployment in industrial automation. In this presentation, Valeriy Vyatkin and Franco Cavadini combine academic and industrial experience to examine how IEC 61499 can provide a structured foundation for integrating AI into automation architectures. The session begins with a refresher on component-based and distributed automation, explicit interfaces and semantics, software and hardware decoupling, and the role of the UniversalAutomation.org ecosystem. Drawing on his involvement with IEC 61499 since 1999, standardization work, and research in intelligent automation, Valeriy will explore directions in AI-assisted engineering and flexible cyber-physical systems. He will also share insights informed by the development of an IEC 61499 nano-PLC and an integrated development environment featuring an AI engineering agent. Franco will translate these concepts into industrial practice, drawing on more than 15 years of experience in automation and advanced control systems. From his work at gr3n, he will examine modularity, software reuse, industrial data architectures, and the interaction between AI services and operational technologies in process-industry applications ...

Tuesday 24 November 2026 at 1:00 PM CET, 7:00 AM ET By Yushuai Li (Department of Computer Science, Aalborg University, Denmark) Register now using the link below: https://attendee.gotowebinar.com/register/1399131203827564375 Abstract: Driven by rapid advances in data science and artificial intelligence, digital twins (DTs) have emerged as a promising paradigm and are attracting increasing attention worldwide. By creating virtual representations of real-world systems, DTs have the potential to fundamentally transform decision-making and enable predictive optimization and control for cyber-physical energy systems (CPESs). This webinar will introduce the concept, modeling and learning methods, and a testing platform for DTs, together with their applications in CPESs. First, Dr. Li will discuss the basic concept and key challenges of DTs. Then, he will present several modeling and learning methods for DTs, each illustrated through a specific application in CPESs. Next, Dr. Li will introduce an open-access testing platform. Finally, he will conclude and point out related open issues. This webinar is intended for professionals and researchers interested in gaining a deeper understanding of DTs and their emerging applications in CPESs, while keeping up with the latest developments in this rapidly evolving field. Presenter’s bio: Yushuai Li (Senior Member, IEEE) received the Ph.D. degree in control ...