Ang Liu (School of Mechanical and Manufacturing Engineering, University of New South Wales – Sydney, Australia) animera un Seminar@SystemX sur le thème “Synergy of AI and Digital Twins: Driving Data-Driven Design”, le 8 octobre 2025 de 11h à 12h.
Ce séminaire est organisé dans le cadre du programme Jumeaux Numériques des systèmes Industriels de l’IRT SystemX :
Biographie
Dr. Ang Liu is an Associate Professor of Engineering Design at the University of New South Wales (UNSW), Sydney. He received his Ph.D. in Mechanical Engineering from the University of Southern California and joined UNSW in 2016.
His research focuses on design methodology, smart manufacturing, digital twins, and data-driven design. He has published two books and more than 125 peer-reviewed articles in leading journals including CIRP Annals, ASME Transactions, and IEEE Transactions. His work has been cited over 13,000 times, with four papers ranked among the world’s top 1% most cited. In education, he has taught engineering design and design thinking to over 8,000 students and practitioners.
Dr. Liu has received numerous awards, including the UNSW Vice-Chancellor’s Award for Outstanding Contributions to Student Learning (2021), an Australian Award for University Teaching Citation (2022), the Digital Twin Outstanding Young Scientist Award (2024), #1 Ranked National Researcher in the Field of “Manufacturing & Machinery” by the Australian’s Research Magazine (2021-2025). He is a Fellow of ASME, Associate Member of CIRP, JSPS Fellow, and Senior Fellow of the Higher Education Academy. He also holds leadership roles within CIRP, ASME, and the International Association for Axiomatic Design, and serves on the editorial boards of several leading international journals.
Résumé
Artificial intelligence and digital twins are emerging as complementary forces in transforming engineering design. While digital twins capture and synchronise data from physical systems, AI brings the capability to interpret, predict, and generate knowledge from that data. Together, they form a powerful synergy: digital twins provide the dynamic context, and AI delivers the adaptive intelligence to drive data-driven design.
This keynote explores how this integration reshapes design processes across the lifecycle—from eliciting customer needs and modelling functions, to generating and evaluating concepts, to enabling real-time customization and optimization. By coupling digital fidelity with computational intelligence, AI and digital twins can accelerate innovation, reduce uncertainty, and enhance sustainability in design outcomes.
The talk also addresses challenges of interoperability, bias, and ethics, and highlights the importance of human–AI collaboration. Ultimately, the synergy between AI and digital twins points to a future where engineering design becomes more predictive, adaptive, and responsibly data-driven.
