معرفی
Nikan Doosti is a doctoral researcher at Aalto University, affiliated with the Materials to Products research group. His work focuses on the integration of data-driven and physics-based deep learning in advanced manufacturing processes, with an emphasis on AI-assisted product development, computational design, fabrication, and health-related applications.
- Education: Master’s thesis defended at Iran University of Science and Technology (2022), and prior work in classical digital image processing, deep computer vision, and data science.
- Collaborations: Conducted master’s thesis research at the Max Planck Institute for Informatics (MPI-INF) under Dr. Vahid Babaei, collaborating with Prof. Julian Panetta (UC Davis).
- Research Trends: Combines deep learning with structural optimization and computational fabrication, aiming to bridge AI with science and engineering challenges. His 2021 publication demonstrates expertise in physics-informed neural networks for topology optimization.
Professional Journey: Previously worked as a full-time machine learning engineer at Panafor (2022-2024), transitioning to PhD studies after resigning in January 2024. Actively seeks PhD positions to further contribute to his field.
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