Mgr. Alexander Kovalenko, Ph.D.

2019 - 2022

The project aims to create at the FIT CTU the Institute of Scalable Code Analytics (ISCA), the first research centre in the CR focused on analyses of large code bases available on the Internet. Software systems are written in source code; BigCode refers to the massive codebases on the Internet. Combining techniques from programming languages and statistical machine learning will allow the mining of these codebases for crucial insights. The requested funds will be invested, in part, to provide the FIT with the first hardware and software infrastructure for big code data analysis. The other part of the research funding will attract internationally renowned researchers in the field of computer languages. The team is synergistic with existing research capacities at the FIT in software and knowledge engineering, data mining and parallel computing. The new team is well connected internationally and will bring investment from leading industrial partners that include Google and Oracle.

2023 - 2025

The EDIH CTU represents a major European Digital Innovation Hub in the Czech Republic in the field of Artificial Intelligence (AI) and Machine Learning (ML) transferring trustworthy solutions and services to the industry, health, transportation and energy sectors. The EDIH CTU, with its vision "Inspire & Make the Czech AI-driven Industry", aims to become the innovation and technology leader in providing professional AI/ML services for the local SMEs, small mid-caps and public sector organizations with respect to their digital and green transformation. The strong consortium partners representing academia, business sector and key associations of enterprises in the Czech Republic provide sufficient know-how, expertise and state-of-the-art experimental facilities to serve the needs of the public and private sector at the national and also international level. The major focus is on promoting digital transformation adoption, providing high-quality services, education and knowledge sharing, pursuing ecosystem development, and establishing strong inter-EDIH collaboration. The consortium builds upon already existing partnerships in AI and manufacturing enabling best practice sharing, expertise exchange, and joint activities seeking far-reaching synergies thus strengthening the far-reaching impacts of the European network of EDIHs.

2024 - 2027

The FOCAL project aims to advance our understanding of complex Earth systems and mitigate climate change impacts through five main objectives: developing a high-performance computing platform for better climate and earth system modelling; creating AI modules for efficient climate data exploration; designing web-apps to support decision-making; conducting pilot studies to address assessment challenges and demonstrate app benefits; and fostering a collaborative network across research, data providers, data science, and HPC infrastructure. By combining expertise and integrating data from multiple sources, FOCAL aims to improve climate models, inform policy decisions, and support sustainable development.

2024 - 2026

Using AI to integrate satellite and climate data with weather forecasts and sensor measurements to better adapt agriculture to climate change, reducing economic costs and negative environmental impacts.