Computational Model

Computational modeling employs mathematical and algorithmic representations to simulate and analyze complex systems, aiming to understand their behavior and underlying mechanisms. Current research focuses on diverse applications, ranging from predicting toxicity of environmental pollutants using graph convolutional networks to modeling human behavior in social interactions and understanding cognitive processes like language acquisition through deep learning and agent-based models. These models are proving valuable across various scientific disciplines, enabling more precise predictions, improved diagnostic tools, and more efficient experimental design, ultimately advancing our understanding of both natural and artificial systems.