José M. Azorín

Also published under:J. M. Azorín, J. M. Azorin, Jose Maria Azorin, José María Azorin, Jose M. Azorin, José Azorin, José M. Azorin, José María Azorín

Affiliation

Brain-Machine Interface Systems Lab, Miguel Hernández University of Elche, Elche, Spain
Engineering Research Institute of Elche – I3E, Miguel Hernández University of Elche, Elche, Spain
Valencian Graduated School and Research Network of Artificial Intelligence - ValGRAI, Valencia, Spain

Topic

Motor Imagery,Common Spatial Pattern,EEG Signals,Electrode,Linear Discriminant Analysis,Lower Limb Exoskeletons,Mental Task,Exosuit,Frequency Band,Maximum Entropy Method,Negative Peak,Peak Position,Robotic Devices,Spinal Cord Injury,Support Vector Machine,Time Domain,Time-frequency Analysis,Visual Feedback,Walking,Active Feedback,Adaptive Filter,Aid Recovery,American Spinal Injury Association,Analysis Of EEG Signals,Ankle Exoskeleton,Assess User Experience,Assistive Technology,Attention Paradigm,Average Signal,Benchmark For Comparison,Benchmark Model,Blind Source Separation,Borg Scale,Brachial Plexus,Brain Patterns,Changes In Speed,Cognitive Engagement,Cognitive Load,Combination Of Feedback,Combination Of Patterns,Combined Electrode,Convolutional Neural Network,Correct Ones,Covariance Matrix,Crutches,Data Availability Issues,Data Window,Decoding Algorithm,Deep Learning Framework,Denoising,

Biography

J. M. Azorín (Senior Member, IEEE) received the M.Sc. degree in computer science from the University of Alicante, Spain, in 1997, and the Ph.D. degree from Miguel Hernández University of Elche, Spain, in 2003. He has been a Visiting Professor at the University of Houston, Houston, TX, USA, and Imperial College London, U.K. He is currently the Director of the Brain–Machine Interface Systems Laboratory and the NSF IUCRC BRAIN-UMH Site and a Full Professor with the Systems Engineering and Automation Department, Miguel Hernández University of Elche. He has been a PI of more than 20 research projects. His research has resulted in more than 200 technical papers and three patents. Over the last years, his research has been funded by prestigious grants from the European Union, other international government agencies, and Spain. His current research interests include brain–machine interfaces, neuro-robotics, and rehabilitation robotics. He received the award for his Best Ph.D. Thesis. He is currently a Distinguished Lecturer of the IEEE Systems Council.