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António Paiva Lapas de Gusmão. Concluiu o(a) Mestrado em Engenharia Electrotécnica e de Computadores em 2019/11/19 pelo(a) Universidade de Lisboa Instituto Superior Técnico, Licenciatura em Ciências de Engenharia - Engenharia Electrotécnica e de Computadores em 2017/07/04 pelo(a) Universidade de Lisboa Instituto Superior Técnico e Master em Master's degree in Automatic Control and Robotics em 2018 pelo(a) Escola Tècnica Superior d'Enginyeria Industrial de Barcelona. É Investigador no(a) Instituto de Telecomunicações. Publicou 1 artigos em revistas especializadas. Possui 6 capítulo(s) de livros e 1 livro(s). Organizou 1 evento(s). Recebeu 2 prémio(s) e/ou homenagens. Participa e/ou participou como Bolseiro de Doutoramento em 1 projeto(s) e Investigador em 1 projeto(s). Atua na(s) área(s) de Ciências da Engenharia e Tecnologias com ênfase em Engenharia Eletrotécnica, Eletrónica e Informática. No seu currículo Ciência Vitae os termos mais frequentes na contextualização da produção científica, tecnológica e artístico-cultural são: Machine Learning; Artificial Neural Networks; Explainable AI; Analog IC; Electronic Design Automation; Data Science; Deep Learning; Analog layout synthesis; Deep learning; Graph convolutional networks; Multiplex Graphs; Node Embeddings; Physical design; Explainable artificial intelligence; Electronic design automation; Artificial neural networks; Analog integrated circuits; Relational graph convolutional networks; .
Identification

Personal identification

Full name
António Paiva Lapas de Gusmão

Citation names

  • Gusmão, António

Author identifiers

Ciência ID
8513-2ADA-09DE
ORCID iD
0000-0001-7362-2407

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Education
Degree Classification
2017/09 - 2019/11/19
Concluded
Engenharia Electrotécnica e de Computadores (Mestrado)
Major in Automação e Sistemas de Controlo
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Semi-Supervised Artificial Neural Networks towards Push-Button Analog IC Placement" (THESIS/DISSERTATION)
15
2018 - 2018
Concluded
Master's degree in Automatic Control and Robotics (Master)
Escola Tècnica Superior d'Enginyeria Industrial de Barcelona, Spain
2014/09 - 2017/07/04
Concluded
Ciências de Engenharia - Engenharia Electrotécnica e de Computadores (Licenciatura)
Universidade de Lisboa Instituto Superior Técnico, Portugal
15
Affiliation

Science

Category
Host institution
Employer
2019/12 - Current Researcher (Research) Instituto de Telecomunicações, Portugal
Universidade de Lisboa Instituto Superior Técnico, Portugal
Projects

Grant

Designation Funders
2020/02/01 - Current Doctoral Research Grant
BIM/nº5/2020 – B00748 – António Gusmão
PhD Student Fellow
Instituto de Telecomunicações, Portugal
Ongoing
2021/10/01 - 2025/09/30 Deep Learning Techniques for End-to-end Deep Nanometer Analog and Radio Frequency Integrated Circuit Design Automation
2021.07123.BD
Universidade de Lisboa Instituto Superior Técnico, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing

Contract

Designation Funders
2020/02/01 - Current Ready-to-Fabricate RF and mmWave Integrated Circuit Layouts
Researcher
Instituto de Telecomunicações, Portugal
Ongoing
Outputs

Publications

Book
  1. António Gusmão; Nuno Horta; Nuno Lourenço; Ricardo Martins. Analog IC Placement Generation via Neural Networks from Unlabeled Data. Springer International Publishing. 2020.
    10.1007/978-3-030-50061-0
Book chapter
  1. António Gusmão; Nuno Horta; Nuno Lourenço; Ricardo Martins. "Artificial Neural Network Overview". 7-24. Springer International Publishing, 2020.
    10.1007/978-3-030-50061-0_2
  2. António Gusmão; Nuno Horta; Nuno Lourenço; Ricardo Martins. "State-of-the-Art in Analog Integrated Circuit Placement". 25-37. Springer International Publishing, 2020.
    10.1007/978-3-030-50061-0_3
  3. António Gusmão; Nuno Horta; Nuno Lourenço; Ricardo Martins. "ANN Models for Analog Placement Automation". 39-58. Springer International Publishing, 2020.
    10.1007/978-3-030-50061-0_4
  4. António Gusmão; Nuno Horta; Nuno Lourenço; Ricardo Martins. "Results". 59-81. Springer International Publishing, 2020.
    10.1007/978-3-030-50061-0_5
  5. António Gusmão; Nuno Horta; Nuno Lourenço; Ricardo Martins. "Conclusions and Future Work". 83-84. Springer International Publishing, 2020.
    10.1007/978-3-030-50061-0_6
  6. António Gusmão; Nuno Horta; Nuno Lourenço; Ricardo Martins. "Introduction". 1-5. Springer International Publishing, 2020.
    10.1007/978-3-030-50061-0_1
Conference paper
  1. Gusmão, António; Nuno Lourenço; Ricardo Martins; Nuno Horta. "Late Breaking Results: Attention in Graph2Seq Neural Networks towards Push-Button Analog IC Placement". Paper presented in Design Automation Conference, São Francisco, 2021.
    Accepted
  2. Gusmão, António; Horta, Nuno; Lourenço, Nuno; Ricardo Martins. "Bringing Structure into Analog IC Placement with Relational Graph Convolutional Networks". Paper presented in International Conference On Synthesis, Modeling, Analysis And Simulation Methods And Applications To Circuit Design (SMACD), Erfurt, 2021.
    Accepted
  3. Gusmão, António; Lourenço, Nuno; Canelas, António; Ricardo Martins; Horta, Nuno. "A Deep Learning Toolbox for Analog Integrated Circuit Placement". Paper presented in International Conference On Synthesis, Modeling, Analysis And Simulation Methods And Applications To Circuit Design (SMACD), Erfurt, 2021.
    Accepted
  4. Ricardo Martins; Gusmão, António; Nuno Lourenço; António Canelas; Nuno Horta; Fábio Passos. "An Essay on the Next Generation of Performance-driven Analog/RF IC EDA Tools: The Role of Simulation-based Layout Optimization". Paper presented in International Conference On Synthesis, Modeling, Analysis And Simulation Methods And Applications To Circuit Design (SMACD), Erfurt, 2021.
    Submitted
  5. Gusmao, Antonio; Passos, Fabio; Povoa, Ricardo; Horta, Nuno; Lourenco, Nuno; Martins, Ricardo. "Semi-Supervised Artificial Neural Networks towards Analog IC Placement Recommender". Paper presented in International Symposium on Circuits and Systems, Sevilha, 2020.
    10.1109/iscas45731.2020.9181148
Journal article
  1. António Gusmão; Pedro Alves; Nuno Horta; Nuno Lourenço; Ricardo Martins. "Differentiable Constraints’ Encoding for Gradient-Based Analog Integrated Circuit Placement Optimization". Electronics (2022): https://doi.org/10.3390/electronics12010110.
    10.3390/electronics12010110
  2. António Gusmão; Rafael Vieira; Nuno Horta; Nuno Lourenço; Ricardo Martins. "Exploiting a Deep Learning Toolbox for Human-Machine Feedback towards Analog Integrated Circuit Placement Automation". Electronics (2022): https://doi.org/10.3390/electronics11233964.
    10.3390/electronics11233964
  3. Gusmão, António; Póvoa, Ricardo; Horta, Nuno; Lourenço, Nuno; Martins, Ricardo. "DeepPlacer: A custom integrated OpAmp placement tool using deep models". Applied Soft Computing 115 (2022): 108188. http://dx.doi.org/10.1016/j.asoc.2021.108188.
    10.1016/j.asoc.2021.108188
  4. Gusmão, António; Póvoa, Ricardo; Martins, Ricardo; Horta, Nuno; Lourenço, Nuno. "DeepPlacer: A Custom Analog Integrated Circuit Placement Tool using Deep Models". Applied Soft Computing (2021):
    Under revision
Activities

Event organisation

Event name
Type of event (Role)
Institution / Organization
2021/02 - 2021/07 Special Session - Machine Learning for Mixed-Signal EDA: Enabling design engineers with learning tools and algorithms (2021/07/19 - 2021/07/22)
Conference (Co-organisor)
International Conference On Synthesis, Modeling, Analysis And Simulation Methods And Applications To Circuit Design (SMACD) 2021, Germany
Distinctions

Other distinction

2016 Diploma de Mérito Académico
2015 Diploma de Mérito Académico
Universidade de Lisboa Instituto Superior Técnico, Portugal