Ing. Claudio Kozický

2020 - 2022

The proposed project is based on previous research results in the field of parallel and distributed algorithms for solution of some important engineer's problems. More specifically, the project is going to focus 1) on the methodology and algorithms for a systematic evaluation of sparse matrix and tensor storage formats that would allow a complex understanding of their properties, 2) on the application of machine learning in network security, 3) on the most advanced computer science methods in astronomy to allow preprocessing, storing, sharing, and analyzing of petabytes of data flowing continuously from astronomical instruments, 4) on the research of algorithms for multithreaded memoization system focused on their effective implementation and parallelization.

2023 - 2025

The proposed project is based on previous research results in the field of parallel and distributed algorithms for solution of some important engineer's problems. More specifically, the project is going to focus 1) on the most advanced computer science methods in astronomy to allow preprocessing, storing, sharing, and analyzing of petabytes of data flowing continuously from astronomical instruments, 2) on the methodology and algorithms for a systematic evaluation of sparse matrix and tensor storage formats that would allow a complex understanding of their properties, 3) on parallel algorithms for reconstruction of physical objects from recorded data.