Karl McCreadie

Karl McCreadie serves as a Lecturer in Data Analytics at Ulster University's School of Computing, Engineering and Intelligent Systems, Magee Campus. His research integrates computational methods with neurotechnology to address clinical challenges, particularly in brain-computer interfaces and rehabilitation engineering.

His primary research domains include Brain-Computer Interfaces (specializing in motor imagery decoding and auditory feedback systems), Virtual Reality applications for upper-body physiotherapy, and smart materials development for medical devices like stoma management systems. He employs advanced machine learning techniques to enhance classification accuracy in EEG/MEG signal processing and develops embodied VR environments for neurorehabilitation. His work bridges computer science with clinical needs, focusing on user experience optimization and assistive technology for disabilities.

Analysis of his 26 publications (2011-2025) reveals a clear evolution from foundational BCI signal processing toward applied clinical solutions. Early work concentrated on motor imagery classification algorithms and auditory feedback mechanisms, while recent publications (2023-2025) emphasize extended reality rehabilitation, biodegradable electrode substrates, and semiconductor production optimization. A strong interdisciplinary thread connects his machine learning expertise with biomedical applications, particularly in stoma care innovation and neurotechnology for tetraplegia.

Dr. McCreadie actively contributes to major research initiatives including the Princess Anne-opened Spatial Computing & Neurotechnology Innovation Hub (2023) and three Medical Research Council/Invest NI-funded stoma care projects: Addressing GAPS in Stoma Output Monitoring (2025-2026), STOMACAP: Reimagining Stoma Management (2025-2026), and MICA: Stomasense (2023-2026). These projects address critical healthcare challenges through composite materials and wireless monitoring systems. He has supervised three research students and maintains active collaborations within Ulster's Computer Science and Informatics group.

As a core member of the Spatial Computing & Neurotechnology Innovation Hub, he participates in developing next-generation neurotechnology solutions that combine virtual reality, spatial computing, and physiological signal processing. His team's work on the Cybathlon championship training program demonstrates real-world impact in assistive technology for people with severe disabilities.