Dr. Juan José Valera García did his doctoral thesis at the GICI, while combining his professional work at TECNALIA. He obtained his PhD degree in 2012, in the Department of Systems Engineering and Automatics of the UPV/EHU, with a qualification of outstanding CUM LAUDE, with the thesis entitled:

"Intelligent control and management of the propulsion system in extended range electric vehicles".

Dr. Juan José Valera obtained a Technical Engineering degree specialising in Industrial Electronics from the University of Mondragón in 1993 and a degree in Industrial Automation and Electronics Engineering from the Bilbao School of Engineering (UPV/EHU) in 2008. He obtained the Certificate-Diploma of Advanced Studies in Systems Engineering and Automation in 2010.

His areas of interest are focused on:

•     Intelligent Control Techniques applied to on-line control of complex processes.
•     Expert control systems.
•     Systems for rapid prototyping of controllers.
•     Mechatronics.

Unai Zalabarria Pena obtained his Degree in Industrial Electronic and Automatic Engineering (2014) and a Master Degree in Control, Automation and Robotics Engineering (2016) at the Bilbao Engineering School of the University of the Basque Country (UPV / EHU). He obtained the award for the best record of his class in the aforementioned master's degree. Subsequently, he completed his PhD within this group, defending it in 2020 and obtaining a qualification of Outstanding Cum Laude. The title of said doctoral thesis is:

"Identification of the stress and relaxation level in people, based on the study and the advanced processing of physiological signals related to the activity of the autonomic nervous system"

Currently, he shares research work with colleagues from the GICI, due to his interest in the field of Biomedical Engineering.

His areas of interest are focused on:

• the study of solutions based on artificial intelligence (Machine / Deep Learning)
• advanced signal processing
• "big data"
• web development.

He is also involved in the analysis of financial markets making use of advanced computing techniques and research data provided by Alpha Vantage Stock API.

Dr. Eukene Imatz Ojanguren obtained in 2016 the title of Doctor in Automation and Robotics Engineering, with a grade of sobresaliete CUM LAUDE, with a thesis on the application of intelligent computing techniques to an upper limb neuroprosthesis, which was carried out in collaboration with the Department of Systems and Automation of the University of the Basque Country (UPV-EHU) and the rehabilitation area of Tecnalia's health division. The thesis is entitled:

"Neuro-fuzzy modeling of multi-field surface neuroprostheses for hand grasp".

Since the end of 2012 she has been working in the neuroengineering area of Tecnalia's health division.

His research areas are:

•     electrical stimulation,
•     neuroprostheses for upper and lower limbs and
•     intelligent computing techniques applied to medical or rehabilitation technologies.

She is the author of several scientific articles and contributions to national and international conferences in the field of biomedical engineering, co-author of the patent WO2020099207A1 "DEVICE AND SYSTEM FOR FUNCTIONAL ELECTRICAL STIMULATION", and member of the International Functional Electrical Stimulation Society (IFESS) since 2013.

Dr. Martin Dendaluce completed his doctoral thesis within the group, defending it in 2019 and obtaining a grade of Outstanding Cum Laude. The title of this doctoral thesis is:

"Real-time multi-domain optimization controller for multi-motor electric vehicles using automotive-suitable methods and heterogeneous embedded platforms"

Martin Dendaluce obtained the degree of Technical Engineer in Industrial Electronics at the Polytechnic University School of Donostia-San Sebastián (UPV / EHU) in 2009, after completing a one-year stay in Darmstadt (Germany) taking various subjects at the Hochschule Darmstadt and working at Tune-Up Utilities GmbH. In 2011 he obtained the title of Engineer in Automation and Industrial Electronics at the Higher Technical School of Engineering of Bilbao (UPV / EHU). He finished his studies in the Master in Control, Automation and Robotics Engineering in 2013.

He enjoyed a grant from the Iñaki Goenaga Technological Centers Foundation since October 2011, within the framework of the PhD Grants Program, with the theme "Development of embedded control systems for transportation".

His areas of interest focus on:

• Development on embedded platforms in real time
• Rapid prototyping techniques and code generation
• Smart techniques

Gorka Miñano obtained the degree of Industrial Engineering at the Bilbao School of Engineering (UPV / EHU) in 2006. He is currently doing his doctoral thesis and in 2010 he obtained the Certificate-Diploma of Advanced Studies in Systems and Automation Engineering.

His areas of interest are focused on:

• Neural Networks
• Biomedical Systems

He currently combines her PhD work with his work at the Centro de Calculo de Álava as a SW Design Analyst.

Dr. Raquel Martínez Rodríguez completed her doctoral thesis within the GICI and obtained her PhD in 2016 with the qualification of Outstanding. This thesis was defended in the Department of Systems Engineering and Automatics, with the title:

"Diseño de un sistema de detección y clasificación de cambios emocionales basado en el análisis de señales fisiológicas no intrusivas"

Dr. Raquel Martínez obtained a degree in Industrial Technical Engineering at the University School of Industrial Engineering of Bilbao (UPV/EHU) in 2000 and a degree in Industrial Automation and Electronics Engineering at the University School of Engineering of Bilbao (UPV/EHU) in 2003. In 2009 he obtained the Certificate-Diploma of Advanced Studies in Systems and Automation Engineering.

His areas of interest focus on:

• The study of an intelligent tutor to detect emotional states.
• Biomedical engineering, as a means of applying engineering techniques to medicine. More specifically, the theory of biosignals.

Dr. Asier Salazar Ramírez obtained his doctorate degree from the UPV/EHU with an outstanding CUM LAUDE rating, in 2020, with the thesis entitled:

"Contributions to physiological computing by means of automatic learning".

Dr. Asier Salazar Ramírez completed his Master's Degree in Control, Automation and Robotics Engineering in 2014. He graduated in Industrial Automation and Electronics Engineering from the University of Mondragón in 2012.