Welcome to rrLab

• Statistical Learning and Multivariate Data Analysis
  Applied statistics, machine learning, tensor data analysis, multivariate data analysis, latent-variable regression and classification, dimensionality reduction, nonlinear kernel learning, and support vector machines.
• Electrophysiological Data Analysis and Computational Neuroscience
  Analysis of EEG, EOG, and EMG signals; event-related potentials (ERP); neural dynamics; sleep process modelling; and computational approaches to brain and physiological data.
• Brain–Computer Interfaces and BCI-HMD Technologies
  EEG-based brain–computer interfaces, motor imagery, real-time neural decoding, and integration of BCI with head-mounted displays (HMDs) and immersive virtual reality (VR).
• Collaborative and Immersive VR
  Patient–therapist and human–robot interaction in immersive VR, with emphasis on shared-action tasks, social interaction, and ecologically valid rehabilitation environments.
• Cognitive State and Mental Fatigue Monitoring
  EEG-based estimation of cognitive workload, mental fatigue, engagement, vigilance, drowsiness, and other cognitive states.
• AI-Enhanced Neurorehabilitation
  Personalized and adaptive post-stroke rehabilitation combining BCI, HMD/VR, artificial intelligence, and multimodal interaction.

• Cooperative AI-Enhanced BCI-HMD Rehabilitation for Post-Stroke Recovery (CARE-BCI) (2026-2030).
  
• European Doctoral Network for Neural Prostheses and Brain Research (DONUT) (2024-2027).
  

• Collaborative BCI post-stroke neurorehabilitation using a patient-therapist interactive VR environment (cBCI-VR) (2024-2026).
  
• Trustworthy human–robot and therapist–patient interaction in virtual reality (TInVR) (2022-2026).
  
• Smart deep brain stimulation as a treatment strategy in treatment-resistant depression (2022-2025).
  
• Causal analysis of measured signals and time series (2022-2025).
  
• Towards an ecologically valid symbiosis of BCI and head-mounted VR displays: focus on collaborative post-stroke neurorehabilitation (ReHaB) (2022-2025).
  
• Enhancing cognition and motor rehabilitation using mixed reality (ECoReMiR) (2017-2021).
  
• Brain-computer interface with robot-assisted training for rehabilitation (BCI-RAS) (2013-2017).
  
• Effects of sleep disturbances on day-time neurocognitive performance in patients with stroke (SleepCog) (2013-2016).