معرفی
Attila Korik is a Researcher at the University of Bath's Bath Institute for the Augmented Human, specializing in Artificial Intelligence and Machine Learning applied to neurotechnology. His work focuses on Brain-Computer Interfaces (BCIs), electroencephalography (EEG), and neurophysiological markers for assessing disorders of consciousness. He is a key member of the Turing AI Fellowship project on 'AI for Intelligent Neurotechnology and Human-Machine Symbiosis.'
Research Interests: Korik's primary areas include BCI development for clinical applications, real-time neural feedback systems, and machine learning-driven analysis of neurophysiological data. His work intersects neuroscience, computer science, and clinical medicine to advance human-machine interaction and neurological diagnostics.
Recent Contributions: His 2024 research explores objective neurophysiological markers for PDoC assessment using motor and auditory BCIs, as well as real-time EEG-based object classification. He also investigates motion trajectory decoding in upper limb BCIs using deep learning methods.
Grants & Collaborations: Active in the Turing AI Fellowship (2023-2025), focusing on AI-driven neurotechnology. Collaborates internationally on projects involving source localization, functional connectivity, and state-space modeling in neural systems.
Labs/Teams: Affiliated with the Bath Institute for the Augmented Human, a multidisciplinary group advancing neurotechnology and human-augmentation systems.
