Welcome to my GitHub profile!
I work on projects at the intersection of biomedical engineering, AI, and neuroscience.
Below youβll find my research projects (with links to both code and papers), as well as other publications.
- fetal-subplate-prediction β Deep learning for fetal brain MRI segmentation Β· (Gondova et al., 2026, PNAS)
- cup-movement-decoding β EEG/EMG decoding of upper-limb movement in SCI
- cortico-muscular-power β EEG + EMG + force power grip dynamics in SCI
- closed-resp-stim β Breathing-based diaphragm electrical stimulation in SCI
- chd-fetal-brain β Age-adjusted qMRI features to classify congenital heart disease
- closed-attention-BCI β EEG + haptic neurofeedback for attention Β· (Candela-Leal et al., 2026, 48th CNIB)
- neurohumanities-lab β EEG-based emotion recognition in immersive spaces Β· (Blanco-Rios et al., 2024, Front. Hum. Neurosci.)
- STEM-talent-detection β EEG + autonomic signals to assess STEM engagement Β· (Candela-Leal et al., 2025, Acta Psychol.)
- chess-cognitive-load β EEG estimation of cognitive load in chess Β· (Candela-Leal et al., 2025, 47th CogSci)
- ALAS-project β Wearable EEG system to track mental fatigue Β· (Ramirez-Moreno et al., 2021, IJERPH)
- rnn-force-prediction β Deep learning to predict joint forces from kinematics Β· (Candela-Leal et al., 2022, Appl. Sci.)
- acl-knee-tracking β Real-time 3D knee tracking for ACL assessment
- π 2026 β Workplace Measures of Mental Fatigue β Chapter
- π€ 2025 β Innovative Spaces with Advanced Technologies such as Research Activity Simulators for Engineering Education β Paper
- π 2024 β Human-Vehicle Interfaces: A Review for Autonomous Electric Vehicles β Paper
- π€ 2024 β Conscious Technologies Projects as a Hub for Real Life Challenges in Engineering Education β Paper
- π 2022 β Current and Future Biometrics: Technology and Applications β Chapter