Ing. Ivana Trummová

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 project has three main goals. The first goal deals with malware detection using machine learning. The focus will be on problems of malware classification and creating and defending against adversarial samples. The second goal belongs to the field of cryptanalysis of ciphers using side channels. The research will focus on ciphers that have made it to the finals of the post-quantum cipher competition organized by NIST. The last goal will be to systematically describe blockers and barriers in deploying and using cryptographic tools.

2023 - 2024

The project deals with the design (and implementation) of new side-channel attacks on the postquantum algorithms, as well as the design (and implementation) of countermeasures that will prevent these attacks.