معرفی
Matti Linjama is an Adjunct Professor in the Department of Hydraulics and Automation at Tampere University. His academic career spans over three decades, with docentships held from 2009–2014 and 2015–2019. He holds a Doctor of Engineering (1998) and a Master's in Automation Technology (1996).
Research focuses on hydraulics engineering, digital hydraulic systems, and energy conservation. Key areas include fault detection in hydraulic components, flow control optimization, and AI-driven automation. Linjama has contributed to UN Sustainable Development Goals through sustainable energy and machinery research.
Recent work emphasizes deep reinforcement learning applications in flow control systems and hybrid CNN-LSTM models for fault localization. His datasets, such as 'Digital hydraulic boom with valve faults,' and collaborations highlight expertise in industrial hydraulic systems.
Active in academic service, Linjama has reviewed for journals like the International Journal of Advanced Manufacturing Technology and organized workshops on digital fluid power. His research spans 224 publications, with over 200 citations as of 2025.
