The inaugural conference of COST Action CA24136 NextGen Synergy: Control Theory & Machine Learning aims to bridge the gap between Control Theory (CT) and Machine Learning (ML), two dynamic fields that are increasingly intersecting. A broad array of topics will be discussed, including but not limited to the following:
- Strengthening control-theoretical foundations
- Leveraging machine learning for control theory challenges
- Developing hybrid and data-driven models
- Translating theory into practical solutions
The conference aims to cultivate interdisciplinary collaboration among experts in mathematical analysis, numerical mathematics, control engineering, computer science, and data science. By integrating diverse knowledge, it will stimulate cross-sector dialogue and break down communication barriers.
The conference has special focus on early-career researchers (PhD students and postdoctoral fellows).
Conference webpage: https://coml26.utia.cas.cz/
