معرفی
Valeriy Vyatkin is a Professor at the Department of Electrical Engineering and Automation, Aalto University. His research focuses on advancing industrial automation, control systems, and their integration with emerging technologies like machine learning and digital twins. He specializes in standards such as IEC 61499, addressing interoperability, formal verification, and performance optimization in distributed automation systems.
Key research interests include:
- Physics-informed machine learning for industrial processes (e.g., steel rolling, reservoir engineering)
- Formal methods for control system validation and safety-critical applications
- Development of adaptive automation frameworks for Industry 5.0 challenges, including human-robot collaboration and energy systems
- Interoperability between legacy and modern industrial standards (OPAS, OPC UA)
Recent work emphasizes real-time simulation, FPGA-based control prototyping, and AI-driven solutions for energy efficiency and sustainability in manufacturing, horticulture, and process industries. Publications span topics like robotic walker design, probabilistic model checking, and decentralized learning management systems.
He collaborates on EU and industry-funded projects, focusing on digital twin implementation, edge computing, and virtual commissioning. His team develops tools for automated code generation, system migration, and anomaly detection in complex industrial settings.
