Jerzy Respondek

Jerzy Respondek serves as Professor at Silesian University of Technology's Department of Applied Computer Science within the Faculty of Automatic Control, Electronics and Computer Science, and concurrently as Visiting Scientist at Friedrich-Alexander-Universität Erlangen-Nürnberg's DCN-AvH Chair for Dynamics, Control, Machine Learning and Numerics – an Alexander von Humboldt Professorship.

His research centers on numerical analysis with groundbreaking contributions to computational linear algebra, particularly fast matrix multiplication algorithms and confluent Vandermonde matrix inversion. His work bridges theoretical mathematics and practical applications in artificial intelligence, big data processing, and high-performance computing, emphasizing algorithmic efficiency and numerical stability.

Recent publications reveal consistent scholarly impact, including a 2025 Springer monograph synthesizing fast matrix techniques with concrete implementations, and corrections to foundational algorithms demonstrating rigorous scholarly oversight. His research trajectory shows increasing focus on AI-optimized numerical methods while maintaining deep roots in classical matrix computation.

As a reviewer for SIAM Review and IEEE Transactions since 2018, Professor Respondek contributes to scholarly quality control in computational mathematics. His affiliation with the Humboldt Professorship chair provides access to international collaborations and advanced research infrastructure, supporting his work in dynamics and machine learning applications. While specific student supervision details aren't provided, his professorial role indicates active mentorship in computational mathematics.

His laboratory work is integrated within FAU's DCN-AvH Chair environment, focusing on numerical implementations for machine learning systems and control theory applications, leveraging the chair's interdisciplinary framework connecting dynamics, control, and computational mathematics.