Zaira Manigrasso

Postdoctoral Researcher, University of Udine

Zaira Manigrasso has been a Postdoctoral Researcher at Udine University since March 2024.
She earned her degree in Biomedical Engineering from the University of Pisa, Italy, specializing in medical image processing. In 2023, she completed her PhD in Computer Science Engineering at the University of Ghent, Belgium. During her doctoral research, she was part of a multidisciplinary team, focusing on the application of traditional and AI-driven computer vision and image processing algorithms to material science, particularly utilizing 4D micro-CT images.
Currently, her research focuses on developing an episodic memory for egocentric videos.


AI-driven material characterization


Material science characterization involves probing and measuring a material’s structure and properties, essential for understanding engineering materials. Material characterizations techniques (e.g., X-ray Computer Tomography, Infrared Spectroscopy) are used to analyze physical, structural, and chemical properties at the microscale and nanoscale, generating complex datasets that require significant human effort to interpret. AI-driven techniques can automate data analysis and improve surface analysis efficiency and
accuracy. Integrating AI aims to accelerate material discovery and characterization, enabling rapid identification of materials with tailored properties for various applications, predicting material behaviors, and designing materials for specific operational requirements. This fusion of AI and materials science seeks to enhance development efficiency and create innovative materials to address global challenges and advance technology.

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