Mesh generation is the prerequisite of numerical methods (e.g., Finite Element Analysis FEA, Computational Fluid Dynamics CFD). Multi-physics analysis in the Electronic Design Automation (EDA) field aims to simulate the behavior of electronic systems (chips, packages, PCBs) under the coupled effects of electrical, thermal, and mechanical fields. It poses tremendous challenges for mesh generation. There are many theoretical and practical difficulties in automatically generating good quality and adaptive meshes in 3d. This talk focuses on a methodology which has a rigorous theoretical background, the well-known Delaunay criterion. We will present the state-of-the-art development on automatic generation of high-quality unstructured surface and volume Delaunay meshes for arbitrarily complex and challenging EDA geometries. In addition, we will discuss practical techniques for achieving robust and efficient implementations.

Hang Si is a CJ chair Professor at the School of Software, Dalian University of Technology (DLUT). He earned a Bachelor's degree in Electronic Engineering from Hangzhou University (now Zhejiang University) in 1994, a Master's degree in Computer Science from Zhejiang University in 2002, and a Ph.D. in Mathematics from Technische Universität Berlin (TU Berlin), Germany in 2008. From 2002 to 2020, he worked as a Senior Researcher at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. He worked as a Senior Software Architect at Cadence Design Systems Inc, San Jose, CA, U.S.A from 2020 to 2024. Prof. Si's research focuses on solving practical engineering problems through rigorous mathematical theories. He spent over 20 years conducting algorithmic research on mesh generation. His major achievement is the open-source 3D tetrahedral mesh generation software TetGen (http://www.tetgen.org). This software is widely used in engineering and academic research. It has also been commercially licensed to numerous companies, generating over $1 million in licensing fees. For this work, he received the SGP Software Award in 2012. At Cadence, he led a team and developed an unstructured mesh generation engine, which made a foundational contribution to the company's electromagnetic field and thermal analysis software, earning customer trust in the market and generating significant commercial profits. Upon returning to China, Prof. Si will dedicate himself to developing next-generation mesh generation algorithms and software. These will be closely integrated with numerical methods to solve large-scale engineering challenges across various fields.