معرفی
Wing K. Liu is the Walter P. Murphy Professor of Mechanical Engineering, Civil and Environmental Engineering (by courtesy), and Materials Science and Engineering at Northwestern University. He leads the HiDeNN-AI research group, focusing on mechanistic data science, hierarchical deep learning neural networks (HiDeNN), and multiscale modeling for advanced manufacturing and materials innovation. His work integrates physics-based principles with machine learning to address challenges in additive manufacturing, computational mechanics, and materials design.
Education:
- Ph.D., M.S., California Institute of Technology
- B.S. (Hons) in Engineering Science, University of Illinois at Chicago
Research Interests:
Liu’s research spans mechanistic data science, AI-driven materials innovation, and multiscale modeling. His HiDeNN framework enables fast design, optimization, and discovery in engineering systems. Key areas include laser powder bed fusion, image-based modeling, and predictive manufacturing processes. He emphasizes combining scientific principles with data to accelerate technology development.
Awards and Recognition:
- Gauss-Newton Medal (2012)
- John von Neumann Medal (2007)
- ASME Robert Henry Thurston Lecture Award (2007)
- ISI Highly Cited Researcher in Engineering (2001)
Teaching and Academic Leadership:
Liu teaches advanced finite element methods, multiscale modeling, and computational mechanics. He has served as editor for Computational Mechanics, vice president of the International Association for Computational Mechanics, and past president of the U.S. Association for Computational Mechanics.
Labs and Teams:
His research group, Wing K. Liu Group, develops cutting-edge tools like JAX-FEM and C-HiDeNN, focusing on GPU-accelerated simulations and AI integration in engineering systems.
