Ildar Batyrshin

Universidad Panamericana, Instituto Politécnico Nacional

Papers

Total Citations

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About

Ildar Batyrshin is a researcher whose work spans the intersections of soft computing, computational intelligence, and high-performance computing. His contributions to the field are reflected in his editorial and authorial involvement in key academic volumes, including *Advances in Soft Computing* and *Advances in Computational Intelligence*, both published in 2018, which have helped consolidate and disseminate cutting-edge research within these disciplines to the broader scientific community. More recently, Batyrshin has ventured into applied machine learning for computational optimization, contributing to the development of **Elegante**, a machine learning-based tool designed to configure thread parameters for Sparse Matrix–Vector (SpMV) computations on shared memory architectures. This work addresses one of the most persistent challenges in parallel scientific computing — optimizing SpMV performance for solving linear and partial differential equations — demonstrating Batyrshin's ability to bridge theoretical intelligence methods with practical engineering problems. While his citation counts are still growing, his interdisciplinary reach across fuzzy logic, computational intelligence, and parallel computing positions him as a versatile contributor whose work supports both foundational research and real-world computational applications.