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Jaime Cardoso

Fotografia de Jaime dos Santos Cardoso
Name: Jaime dos Santos Cardoso Ligação à página pessoal de Jaime dos Santos Cardoso
Sigla: JSC
Estado: Active
R-000-6H2
6017-2B87-B242
I-3286-2013
9245302400
Voip: 3859
Extensão Telefónica: 220413399
Salas: S13.28 , I335 , A110

Funções

Categoria: Professor Catedrático
Carreira: Pessoal Docente de Universidades
Professional Group: Docente
Department: Department of Electrical and Computer Engineering

Cargos

Cargo Data de Início
Member of the Executive Board 2022-10-28
Vice-Chairman of the Scientific Board 2022-10-28
Member of the Department Council Departamento de Engenharia Eletrotécnica e de Computadores 2022-12-19

Apresentação Pessoal

Jaime S. Cardoso is a Full Professor at the Faculty of Engineering of the University of Porto and a Researcher at INESC TEC. Cardoso has held multiple positions in scientific and academic management: Coordinator of the Centre for Telecommunications and Multimedia (CTM) at INESC TEC (2018-21), Director of Doctoral Program in Electrical and Computer Engineering, FEUP (2021-22); Director of the Master in Computer Vision (2020-22), Member of the Executive Board of FEUP (since 2022), among others. From 2012 to 2015, Cardoso served as President of the Portuguese Association for Pattern Recognition, affiliated with the IAPR. Cardoso is also a Senior Member of IEEE since 2011. Cardoso served regularly as a project evaluator for the European Commission.

 

Cardoso pursues a never-ending, universal, visual information learning system, to empower the next generation of intelligent communication systems and services with the capability of reasoning from visual data. His scientific research can be summed up in three major topics: Computer Vision, Machine learning and Decision Support Systems. Under these topics, Cardoso favours more specific domains. Computer Vision focuses on video object tracking for applications such as surveillance and autonomous driving, medical images, and biometric applications. The work on machine learning cares mostly with the adaptation of learning to the challenging conditions presented by visual data. The work in decision support systems is always anchored on the automatic analysis of visual data. Cardoso has been the recipient of numerous awards, and has been regularly included in the list of World Ranking of Top 2% Scientists by Stanford University.

 

Different fields share many things in common and Cardoso’s research tries to bridge the gap between those fields by looking for common threads. This feature contributes to the results of his research activity being published in worldwide leading journals and demonstrates a general interest in his work.



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Research

Categoria: Membro Integrado
Research and Development Centre: INESC TEC - INESC Tecnologia e Ciência
Interface Institute: Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência
Categoria: Colaborador
Research and Development Centre: Centro de Matemática da Universidade do Porto
University of Porto: University of Porto
Faculty: Faculty of Sciences of the University of Porto
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