معرفی
Tomáš Bureš is a Professor at the Department of Distributed and Dependable Systems, Faculty of Mathematics and Physics, Charles University. His work focuses on adaptive software architectures for smart cyber-physical systems (CPS) and IoT, leveraging machine learning (neural networks) for self-adaptation, edge-cloud systems, and model-driven development.
- Research Groups: Leader of the SmartArch research group.
- Projects: Involved in ExtremeXP, ESTABLISH, AFarCloud, FitOptiVis, Trust 4.0, ASCENS, RELATE ITN, Q-ImPrESS.
Publications span topics like performance regression testing, ML workflow optimization, confidentiality analysis under uncertainty, and edge-cloud continuum modeling. Key subfields include self-adaptive architectures, adaptation rules, component ensembles, and statistical methods in software engineering. His work bridges theoretical models (e.g., DEECo, SOFA) with practical tools (e.g., ExpEngine, Robin) for CPS and cloud applications.
Co-Authors include P. Hnětynka, M. Abdullah, R. Heinrich, and others. Publications appear in venues like IEEE Transactions on Autonomic Computing, ACM/SPEC ICPE, and ECSA Workshops.
