Aniana is a biomedical engineer and postdoctoral researcher with over a decade of academic expertise in brain-computer interfaces (BCIs) and biomedical signal processing. Her doctoral research focused on monitoring mental states to enhance BCI robustness in collaborative control scenarios, providing her with in-depth knowledge of BCIs, data acquisition, and analysis. This expertise serves as a cornerstone for the project, enabling her to apply the most effective methodologies for identifying neural correlates, localizing their brain triggers, and correlating them with psychological feedback for integration into cobot cognition. Withs extensive contributions, including numerous publications in leading neurocomputing and neural engineering journals, Aniana has consistently yielded impactful results and inspired new proposals, extending her research into real-world BCI applications. Her proven track record of innovation underscores her pivotal role in the project’s implementation. Furthermore, her familiarity with interdisciplinary collaboration, particularly in neuroscience and related fields, positions her to provide valuable insights and ensure a cohesive, well-informed approach throughout the project. Aniana is also currently a Principal Investigator of the FCT-funded project “UpReGain: Gamified brain-machine interfaces for personalized upper-limb post-stroke rehabilitation”. She has been involved in several research projects as a researcher, member, or collaborator in the areas of human-computer interfaces, mobility assistance, computer vision, and the sleep stage.