Narkez Boranbayeva, PhD, in the educational program “Automation and Control”. Her scientific research focuses on developing hybrid methodologies for intelligent control of catalytic cracking processes under uncertainty, including mathematical modeling, fuzzy logic, machine learning, and optimization of complex technological systems. She conducts research at the Department of System Analysis and Control at L.N. Gumilyov Eurasian National University. She actively develops intelligent decision-making support systems for oil refining processes, particularly for reactor–regenerator units in catalytic cracking installations. Her research interests include mathematical and hybrid modeling of nonlinear industrial systems, fuzzy inference methods, regression analysis, process optimization, and digitalization of industrial control systems. She is the author and co-author of scientific publications devoted to the application of artificial intelligence in industrial automation, technological process optimization, and intelligent control under uncertainty. Her scientific and practical work aims to improve the efficiency, reliability, and sustainability of technological processes in the oil refining industry by integrating modern artificial intelligence methods and advanced automation technologies.