Oleg Levinski

Dr. Oleg Levinski is an Adjunct Professor in the School of Engineering at RMIT University. His research focuses on aerospace engineering, communications engineering, mechanical engineering, control systems, fluid mechanics, and data science. He specializes in dynamic mode decomposition, structural health monitoring, and deep learning applications in aerospace systems. His work bridges computational fluid dynamics, nonlinear signal processing, and predictive maintenance.

Key research trends include data-driven methodologies for aircraft load prediction, system identification using neural networks, and aeroelasticity analysis of transonic flows. Collaborations with industry and academia have produced innovative solutions for operational loads monitoring and flight dynamics optimization.

Dr. Levinski’s publications span journals like Mechanical Systems and Signal Processing and conference proceedings from AIAA and AIAC. He actively contributes to advancing aerospace systems through interdisciplinary approaches integrating advanced analytics and engineering principles.