In his research, Mr. Aliyev focuses on developing autonomous systems for optimizing milliplate reactors as part of process intensification. The emphasis is on integrating milliplate reactors, real-time analytics, and advanced optimization algorithms to enable sustainable, energy-efficient, and resource-conserving chemical processes. By utilizing Multi-Objective Bayesian Optimization (TSEMO) and Model-Based Design of Experiments (MBDoE), a self-optimizing flow reactor is being designed to ensure precise reaction control and reduce experimental requirements. His work involves practical experiments with plate reactors, simulations, and the validation of methodologies using complex reaction systems.