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Enzo Liotti is a departmental lecturer at the University of Oxford, specializing in the study of materials science and manufacturing technology. His research interests lie at the intersection of fundamental materials science and data analytics, where he investigates the intricate relationships between fundamental phenomena and their impact on structural evolution in manufacturing processes. This research is crucial for improving materials performance, optimizing processes, and enhancing sustainability in the development of new materials. A significant aspect of his work involves addressing metallurgical challenges related to solidification and phase transformation science, which are vital for advancing circular manufacturing practices. Furthermore, he has developed novel X-ray based characterization techniques that leverage Artificial Intelligence (AI) for the in-situ operando study of dynamic processes during manufacturing.
Department of Politics and International Relations - Higher Level English requirement.