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Embark on an exploratory journey through Machine Learning in Digital Manufacturing, where advanced manufacturing meets cutting-edge computational intelligence. This course explores the role of ML in process monitoring and optimization across various domains, including Additive Manufacturing (AM), laser-assisted manufacturing processes, and surface engineering.
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Younger me 
Journey with Rolls-Royce and NTU 
Novice Researcher 
Journey with Swiss federal laboratories 
Senior researcher at UAE 
University Lecturer at Turku 
Published in , 2025
Published in , 2025
Published in , 2025
🔍Unlock the future of factories by weaving real-time sensor data, AI-driven digital twins, and federated learning into a unified framework that maximizes efficiency, traceability, and sustainability.
🔍Prognostics and Pattern Recognition in Ageing Tribological Contacts: A Triboinformatics Approach
🔍 Studying material transformations caused by surface contacts: Mechanisms, Challenges, and Research Frontiers.
🔍 Examining the complexity of laser-material interactions for process monitoring and control in Additive Manufacturing processes.
Åbo Akademi, Åbo Akademi, 2025
Course in collaboration with Åbo Akademi (ÅAU NM00CW34) and UTU (KTEK0072)
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</p>University of Turku, Department of Mechanical and Materials Engineering, 2025
Embark on an exploratory journey through Machine Learning in Digital Manufacturing, where advanced manufacturing meets cutting-edge computational intelligence. This course explores the role of ML in process monitoring and optimization across various domains, including Additive Manufacturing (AM), laser-assisted manufacturing processes, and surface engineering.
Download Download Slides
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