معرفی
Mariya Ishteva is an Associate Professor at the KU Leuven, affiliated with the Faculty of Engineering Technology and the Department of Computer Science. Her work bridges applied mathematics, machine learning, and industrial sustainability.
- Leading projects in tensor methods, neural network compression, and nonlinear system identification
- Developing thermochemical data-driven control systems for Waste-to-Energy processes
- Contributing to decoupling multivariate functions in signal processing and control theory
Her recent publications focus on integrating tensor networks with machine learning for industrial combustion optimization and multivariate function analysis. She collaborates extensively with engineering teams in sustainable energy systems and process control.
She teaches courses in Big Data Analysis, Mathematical Modeling, and Applied Mathematics, contributing to educational programs at the Geel Campus.
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