Dr. Raul Fernandez Rojas
Associate Professor
Biography
Dr Raul Fernandez Rojas (Member, IEEE) received a Ph.D. degree from the University of Canberra, Australia, in 2018, with a focus on biomarker identification using computational methods. He is currently an Associate Professor with the Faculty of Science and Technology. His research interests includes Signal Processing, fNIRS, Machine Learning, EEG, Multimodal Sensing. He published several papers in the above mentioned domains.
Associated Projects
Multimodal Signal Processing for Objective Human Pain Assessment
Objective pain assessment using bio-signal analysis and AI.
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Detection of dementia using neuroimaging and machine learning
Early detection of dementia using neuroimaging and machine learning.
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Virtual Reality for Acute Pain Management
Identifying which elements of virtual reality relieve acute pain, and why.
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AI for Early Detection and Monitoring of Parkinson's Disease
Objective assessment of Parkinson's disease using multimodal sensing and AI.
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Sensor-Based Human Motion Analysis and Machine Learning for Dementia Detection
Using wearable sensors, human motion analysis and machine learning to identify movement-based digital biomarkers of dementia.
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Multimodal Sensing for Cognitive Workload and Affective State Monitoring in Human–Machine Interaction
Multimodal sensing and AI for objective monitoring of cognitive workload and affective states during human–machine interaction.
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