Ганна Анатоліївна ШишкановаView profile
Associate Professor
Ганна Анатоліївна Шишканова is an Associate Professor at the Department of Applied Mathematics within the Faculty of Computer Science and Technologies at Zaporizhzhia Polytechnic National University. With over two decades of academic experience since 1999, she holds the academic title of Associate Professor and a Candidate of Physical and Mathematical Sciences degree. Her expertise spans applied mathematics, continuum mechanics, and mathematical modeling, with significant contributions to contact mechanics and econometrics. Zaporizhzhia State University (Applied Mathematics, Specialist) Zaporizhia National Technical University (Entrepreneurship, Master's degree, 2019) Dr. Shyshkanova's research focuses on solving complex mathematical problems in engineering and economics. Her work in spatial contact problems with unknown contact regions has practical applications in structural engineering and green building design. She has developed innovative approaches to multidimensional integro-differential equations and applied catastrophe theory to various scientific domains. Her recent research has expanded into econometrics, applying mathematical models to business optimization and economic forecasting. Her 77 scientific publications demonstrate consistent scholarly output across multiple disciplines, with recent work addressing sustainable construction, cylindrical structure deformation, and precision alloy production. The publications reveal a trend toward interdisciplinary research that bridges applied mathematics with practical engineering and economic challenges. Certificate of Merit on the 110th anniversary of ZNTU (2010) Certificate of Merit on the 115th anniversary from Zaporizhzhia City Council (2015) Honorary Certificate for long-term work and contribution to technical education (2021) Appreciation from NU "Zaporizhzhia Polytechnic" for 50th anniversary (2023) Certificate from Zaporizhzhia Regional State Administration (2023) Dr. Shyshkanova teaches Higher Mathematics, Probability Theory and Mathematical Statistics, Optimization Methods and Models, and Econometrics. Her pedagogical approach integrates traditional instruction with innovative distance learning technologies to enhance student engagement with mathematical concepts. She has contributed to educational methodology through research on student evaluation systems and the application of mixed learning approaches to mathematical disciplines.







