Title: Multidisciplinary Computational Modelling: Catalysing Engineering Innovation
Speaker: Eric Li
Affiliation: Teesside University
Time: July 29, 2025, 9:00-12:00
Venue: Lecture Hall 2, First Floor, Mathematics Building, Jilin University
University Contact: Xu Xu (xuxu@jlu.edu.cn)
Abstract:
This seminar explores the pivotal role of multidisciplinary computational modelling in advancing innovation across materials science, energy systems, mechanical engineering, and structural design. It will present state-of-the-art progress in computational materials design and innovative inverse problem-solving methodologies. The session will further highlight breakthroughs in topology optimisation, illustrating how advanced computational techniques enable the development of lightweight, high-performance structures optimised for additive manufacturing. Key applications of machine learning—ranging from accelerated materials discovery and weld defect detection to machine health monitoring and advanced battery modelling—will be discussed as catalysts for shorter innovation cycles and enhanced predictive precision. Participants will gain critical insights into how these multidisciplinary strategies are redefining engineering solutions and driving transformative impacts across both academia and industry.
Speaker's Biography:
Professor Eric Li, of Teesside University, is an internationally recognised expert in computational mechanics and engineering innovation. His research encompasses computational modelling, materials design, digital twins, additive manufacturing, and machine learning. With over 160 peer-reviewed publications, Professor Li’s work bridges cutting-edge theory and industrial application, contributing significantly to academic and technological advancement. His achievements have been recognised through prestigious awards, including Teesside University’s Outstanding Research Award (2025), the Royal Society International Exchange Award, the APACM Young Investigator Award in Computational Mechanics, and the ICCM International Computational Method Young Investigator Award (2019). He currently serves as Associate Editor or Editorial Board Member for five SCI-indexed journals, actively promoting research excellence and global collaboration in computational engineering.
