We are proud to announce the inaugural conference of COST Action CA24136!

The NextGen Synergy: Control Theory & Machine Learning conference 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 machine learning. By integrating diverse knowledge, it will stimulate cross-sector dialogue and break down communication barriers.

The program includes 8 keynote talks, multiple contributed presentations, a variety of poster sessions, and engaging panel discussions, all designed to foster meaningful exchanges and collaborative initiatives. Emphasizing the unification of these fields and the harmonization of terminologies, the conference seeks to leverage this synergy to advance theoretical exploration and practical applications, driving progress in both academia and industry.

The conference has special focus on early-career researchers (PhD students and postdoctoral fellows).

Find Out More: https://coml26.utia.cas.cz/

Submissions: https://indico.pef.czu.cz/event/1/