Summary
Viktor Levandovskyy is a Visiting Professor in Computer Science with 25+ years of experience developing high-performance mathematical software (notably contributing to the Singular computer algebra system) and bridging deep theory with practical engineering in C/C++. He specializes in symbolic and numerical methods for solving nonlinear polynomial systems, linear PDEs with constant coefficients, and mixed differential/difference/functional equations, often producing exact analytical solutions where typical numerics fail. His recent work applies these rigorous techniques to explainability in modern machine learning, detecting subtle phenomena that standard approaches miss. Trained with a Dr. rer. nat and habilitation from leading German universities, he operates at the crossroads of research, consulting, and teaching, and is adept at leading agile teams while tackling interdisciplinary, needle-in-a-haystack problems.
25 years of coding experience
Dr. rer. nat (after Dipl.-Math.), Dr. rer. nat (after Dipl.-Math.) at University of Kaiserslautern
Habilitation, Habilitation at RWTH Aachen University
Dr., Dr. at Taras Shevchenko National University of Kyiv
English, German, Ukrainian, Russian, French