Di Wu

Di Wu is a Research Fellow at the Department of Automation Technology and Mechanical Engineering, part of the Faculty of Engineering and Natural Sciences at Tampere University. Their work focuses on advanced manufacturing technologies, optimization algorithms, and materials science, with significant contributions to thermal modeling in additive manufacturing and superconductivity research.

• Affiliations: Tampere University (since 2019)

Research Interests: Specializes in multi-objective optimization using AI methods, additive manufacturing process modeling, thermal field prediction in metal AM, and superconductivity applications. Their work integrates knowledge-based systems and causal modeling to enhance engineering design processes.

Key Research Trends: Recent publications emphasize real-time thermal management in thin-wall metal additive manufacturing, ANN-based optimization for HTS solenoids, and AI-driven approaches to superconductivity research. They also explore functional modeling and dimensional analysis in welding and micro-turbine systems.

Collaborations: Active in international collaborations with institutions like American Society of Mechanical Engineers and Springer, focusing on advanced manufacturing and material science challenges.