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Identification

Personal identification

Full name
Paulo Carduck Borba Machado

Citation names

  • Machado, Paulo

Author identifiers

Ciência ID
1313-E0A1-6DC0
ORCID iD
0009-0004-6534-9657

Languages

Language Speaking Reading Writing Listening Peer-review
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Portuguese (Mother tongue)
German (Mother tongue)
French
Education
Degree Classification
2024/02/20
Ongoing
Eng. ELectrotecnica e de Computadores (Doutoramento)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2021/09/17 - 2023/11/24
Concluded
Engenharia e Ciência de Dados (Mestrado integrado)
Major in Data Science
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Data-Driven Methods for Efficient Generation of Physically-Coherent Models" (THESIS/DISSERTATION)
2021/09/17
Concluded
Mestrado Integrado em Engenharia Física Tecnológica (Licenciatura)
Instituto Superior Técnico Departamento de Física, Portugal
Affiliation

Science

Category
Host institution
Employer
2024/02/27 - Current Researcher (Research) INOV – Instituto de Engenharia de Sistemas e Computadores Inovação, Portugal
Outputs

Publications

Conference paper
  1. Machado, Paulo; Barbulescu, Ruxandra; L. Miguel SIlveira. "Echo State Networks for Accurate and Efficient Modeling of Dynamic Circuits". Paper presented in IEEE International Conference on Artificial Intelligence Circuits and Systems 2024, Abu Dhabi, 2024.
    10.1109/aicas59952.2024.10595897
  2. Machado, Paulo; Barbulescu, Ruxandra; Giovanni Nastasi; L. Miguel SIlveira. "Efficient machine learning methods to predict the stationary electron density profile in a n+/n/n+ silicon diode". Paper presented in International Conference on Scientific Computing in Electrical Engineering 2024, Darmstadt, 2024.
Newspaper article
  1. Barbulescu, Ruxandra; Gabriela Ciuprina; Anton Duca; Machado, Paulo; L. Miguel SIlveira. "Physics-informed neural networks for a highly nonlinear dynamic system", Journal of Mathematics in Industry, 2025