Jorge Manuel Miranda Dias (born 1960) is a Full Professor at University of Coimbra (www.uc.pt) with academic activities in the Department of Electrical Engineering and Computers and with research activities at the Institute of Systems and Robotics , (ISR-UC) (www.isr.uc.pt).
He has na Habilitation degree (“Agregação”) and a PhD degree on Electrical Engineering by the University of Coimbra with specialization in Control and Instrumentation.
Jorge Dias has research and academic activities in Computer Vision, Robotics and Autonomous Systems domain since 1984 (http://www.deec.uc.pt/~jorge ) . He was responsible for academic courses on Computer Vision, Robotics and Industrial Automation on Electrical Engineer and Computer Science Programs. Jorge Dias supervised several remarkable Ph.D. and Master students in the field of Computer Vision, Robotics and Computer Science since 1985.
Jorge Dias was been principal investigator on international research projects financed by the European Commission through the EU FP6, FP7 and H2020 framework. National projects have been supported by Portuguese Ministry of Education and Science through Fundação para Ciência e Tecnologia.
Jorge Dias coordinates scientifically the Artificial Perception Group from Instituto of Systems and Robotics (ISR). Institute of Systems and Robotics (www.isr.uc.pt) is a multidisciplinary research institute at University of Coimbra with activities on Robotics science and technology.
Jorge Dias was Vice-President from the IPN from June 2008 to June 2011 and Director from of Laboratory of Systems and Automation from the Instituto Pedro Nunes (IPN) from 1996 to 2017. Instituto Pedro Nunes (www.ipn.pt) is a technology transfer institute from University of Coimbra.
Since 2011, Jorge Dias is cooperating with Khalifa University (www.ku.ac.ae) in Abu Dhabi, UAE. Jorge Dias acts as Professor from Khalifa University and has research activities at the Robotics and Intelligent Systems Institute , in the KU Center for Autonomous Robotic Systems.
ORCID ID: 0000-0002-2725-8867 SCOPUS ID: 56962751600 WOS ID: A-1842-2011 FCT CIÊNCIA ID: BC1A-03CB-68ED.