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About

Andrey Kostogryzov is a leading researcher in probabilistic modeling and system engineering, with a focus on enhancing the reliability and safety of complex technological systems. His work spans the cognitive challenges of artificial intelligence systems, the rigorous risk prediction for quality and safety problems, and the unique demands of robotic and automated systems operating in cosmic space. Kostogryzov’s major contribution lies in developing mathematical models and methods that enable preventive risk control in real time, allowing engineers to anticipate failures and justify countermeasures before they occur. His most cited paper, “Probabilistic Modeling of Robotic and Automated Systems Operating in Cosmic Space” (2018, 11 citations), demonstrates how his approach can avoid costly engineering errors during early project stages. Further influential works, including “Probabilistic Methods for Cognitive Solving of Some Problems in Artificial Intelligence Systems” (2019, 7 citations) and “Analytical Risks Prediction” (2020, 7 citations), extend these principles to AI-driven decision-making under uncertainty. By providing software-supported tools for system engineering from concept through design, Kostogryzov has established a foundational framework for proactive risk management in high-stakes environments.