Kenji Shimada

Kenji Shimada is the Theodore Ahrens Professor of Engineering in the Department of Mechanical Engineering at Carnegie Mellon University. His research and teaching interests focus on computer modeling and simulation for product design, analysis, and manufacturing. His work emphasizes geometric computing, including generating, representing, and manipulating geometric information. Recent projects include physically-based mesh generation, non-manifold geometric modeling, and automated shape synthesis using physically-based models. Shimada has developed a new meshing method called Bubble Mesh, inspired by natural packing patterns, and has applied it in industry for automobile crash simulation, sheet metal forming, and computer graphics.

Kenji Shimada is a researcher at Carnegie Mellon University with expertise in Robotics, CAD/CAE, CV/CG, AIML, and BME. His work focuses on computer-aided orthopedic surgery, bone distraction, and mesh generation for finite element analysis. Shimada has developed methods for automated triangular meshing of non-manifold geometry and surface mesh segmentation. His research also includes deep reinforcement learning for global routing and physically-based mesh generation via bubble packing. Additionally, he explores sketch-based 3D-shape creation and multi-UAV coverage path planning for complex structures. His contributions span computational approaches to layout problems and bioheat simulations for cryosurgery planning.