Profile
Liyuan Wang is a PhD student at the Zienkiewicz Institute for Modelling, Data and AI. Her research focuses on applying computer vision and artificial intelligence technologies to materials science. By enabling efficient and economical digital representation and reconstruction of heterogeneous materials to advance the field of materials science and broaden AI’s applications within it. Her passionate about exploring AI technology because of its potential to enhance our lives in meaningful ways.
Area of Experties
- Computer Vision
- AI for materials
- Digital representation and reconstruction in heterogeneous materials
- Image recognition
- Computational Engineering and Data Analytics
Projects
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Smart digital representation and reconstruction in material science with AI and computer vision
Project Overview This project aims to integrate computer vision and artificial intelligence into materials science, utilizing deep learning and other AI methodologies to enable efficient and cost-effective digital characterization and reconstruction of heterogeneous materials. By advancing the application of emerging AI technologies, this research seeks to accelerate the development of materials informatics and enhance digital…
Events
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Networking Session and Lunch at the Distinguished Zienkiewicz Institute Seminar Organized by ZI PGR Society
Time: 12:00 pm – 15:00 pm, 8th October 2025 Overview of the Conference: The ZI-PGR Society, in collaboration with ALTAIR, successfully organized an engaging seminar that brought together PhD students and members of the Zienkiewicz Institute community. The event provided an excellent platform for scholars to network, share experiences, discuss challenges, and exchange innovative solutions…
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Zienkiewicz Institute Community Event – July 2025
Time: 23rd July 2025 Overview of the Conference: Programme:• 09:30-10:00: Welcome coffee & collection of your FREE ZI polo shirt• 10:00-11:00: Celebrating ZI’s achievements and looking ahead to new opportunities.• 11:00-12:00: Launch of the ZI PGR Society, with an intro by Fabio and 3-min spotlight talks by our students.• 12:00-13:00: Lunch• 13:00-14:00: Distinguished Seminar by…