The CaRe in iDEAL–CoDE (Computational Analytics for Research Excellence in Intelligent Decision, Evaluation, and Learning – Control and Decision Engineering)
Focuses on optimization methods and fixed point theory to identify optimal solutions under constraints, analyze nonlinear problems, and study the stability and convergence of mathematical models.
Focuses on creating intelligent systems that can learn, adapt, and make decisions. Widely used in automation, data-driven analysis, and smart technologies.
Deals with using numerical methods and algorithms to solve complex mathematical problems. Supports simulations, scientific computing, and real-world applications.
Applies mathematical models and analytical tools to support decision-making, integrating data-driven insights with control systems for optimal resource management.