
About
Sampsa Laakso serves as Assistant Professor in the Department of Energy and Mechanical Engineering, contributing to advanced research in manufacturing processes and material science. His academic journey includes a Doctoral degree from Aalto University (awarded December 21, 2015) and a Master's degree from Helsinki University of Technology (awarded December 19, 2009).
His educational background demonstrates a strong foundation in Engineering and Technology, with specialization in mechanical systems and manufacturing processes that informs his current research and teaching activities.
Dr. Laakso's research focuses on metal cutting, machining processes, material modeling, and digital manufacturing technologies. His work integrates finite element methods with emerging computational approaches to solve complex manufacturing challenges. The research spans traditional machining techniques to innovative approaches involving machine learning and sustainable manufacturing practices, with particular emphasis on electrical steel processing, tool steel machining, and additive manufacturing of advanced materials.
Analysis of his publication record from 2012-2025 reveals a consistent research trajectory focused on improving manufacturing processes through computational modeling, experimental validation, and innovative methodology development. His recent work shows increasing integration of machine learning techniques with traditional finite element analysis, reflecting broader trends in smart manufacturing.
Professional activities include editorial board membership for Proceedings of the Institution of Mechanical Engineers journals and research collaborations with institutions including Lund University (2016-2018) and RWTH Aachen University (2013). He has also hosted academic visitors such as Filip Lenrick from Lund University in February 2019.
His research contributes to UN Sustainable Development Goals related to industry, innovation, and infrastructure, with practical applications in energy-efficient manufacturing and advanced materials processing.
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