José M. Azorín

José M. Azorín is a Full Professor and Director of the Brain-Machine Interface Systems Lab at Miguel Hernández University of Elche (Spain). He holds a Ph.D. in Robotics (2003) and a M.Sc. in Computer Science (1997). His research focuses on Brain-Machine Interfaces (BMIs), Neuro-robotics, and Rehabilitation Robotics, with over 200 publications and 3 patents. He leads the NSF IUCRC BRAIN UMH Site and serves as a Distinguished Lecturer for the IEEE Systems Council and Core Team member of the IEEE Brain Initiative.

Education:

• PhD in Robotics: Summa Cum Laude (2003), Miguel Hernández University
• MSc in Computer Science (1997), University of Alicante

Research Interests: Azorín pioneers BMI-driven robotic exoskeletons for mobility-impaired individuals. His work integrates EEG-based control systems, neurorehabilitation protocols, and bioinspired robotics. Key areas include lower/upper limb exoskeleton control, sensory-motor decoding, and EU-funded initiatives like the BioMot project. He emphasizes cross-border collaboration through networks like Reasiste and Iberada.

Projects & Funding: Over 20 projects since 2000, including Horizon 2020-funded DECODED/REKINE (2021–2022) and Spanish Ministry grants like WALK (2019–2021). His work addresses clinical needs via wearable robots, multimodal interfaces, and low-cost solutions for neurorehabilitation.

Awards & Leadership:

• Best Thesis Award (2003)
• IEEE Distinguished Lecturer (2013–)
• Core Team IEEE Brain Initiative
• Organized major conferences like ICNR and WeRob

Grants & Labs: Coordinates the Brain-Machine Interface Lab and secured €10M+ in EU/Spanish funding. His team develops open-source BMI frameworks and collaborates with Imperial College London and University of Houston.