Research group: Inteligencia Artificial e Interacción Hombre-Máquina


Doctor by the Universidad Carlos III de Madrid with the thesis Herramientas de planificación de movimientos para robots escaladores en estructuras tridimensionales complejas 2000. Supervised by Dr. Carlos Balaguer Bernaldo de Quirós.

Dr. Victor Manuel Padron Napoles obtained his Ph.D. degree in Industrial Engineering at Universidad Carlos III de Madrid (Sobresaliente cum laude) in 2000. His early research work is related to energy optimization and motion planning of climbing robots (using heuristics on advanced models, such as The Windy Rural Postman Problem), as well as assembly planning of modular houses using robotized cranes. He is an Associate Professor (Profesor Titular) of System Engineering and Automation at Universidad Europea de Madrid, where he teaches subjects related to Electronic Systems to Industrial, Aerospace, Biomedical and Telecommunication engineering students, at the graduate and postgraduate levels. He also taught at Universidad Carlos III de Madrid and at the École Centrale d'Électronique ECE (Paris). Professor Padron has made short academic stays and at the universities of Ulster, Hertfordshire and Wolverhampton, in the United Kingdom. He has been a jury of the MIT Technology Review contest, “Innovators under 35”, for Spain, Colombia, Argentina, Mexico and Uruguay in 2016, as well as for Europe and Latin America in 2017 and 2018. He is the director of the “Expert Course on IoT” realized jointly by IBM and Universidad Europea de Madrid. Professor Padron has participated in numerous national and international research projects and authored more than 45 teaching and research publications. His research experience includes topics such as Sensor Networks, Internet of Things IoT and Ambient Assisted Living related to Health and Wellbeing. He is a member of the Intelligent Systems Research Group at Universidad Europea de Madrid. He is supervising one Doctoral Thesis and has recognized a six-year research period. His current line of research is related to Social Inclusion in Smart Cities and the application of IoT and Big Data to Smart Transport.