???global.info.a_carregar???
Diogo R. Ferreira is an associate professor of computer science at IST (University of Lisbon), and a researcher at the Institute for Plasmas and Nuclear Fusion (IPFN), where he applies machine learning and high-performance computing to fusion data and plasma diagnostics, especially at the Joint European Torus (JET) and other EUROfusion devices. His work has been highlighted at the Nvidia GPU Technology Conference and has been published in journals such as "Machine Learning: Science and Technology" and "Plasma Physics and Controlled Fusion". He works at the intersection of machine learning and plasma physics.
Read full resume ↓
Identification

Personal identification

Full name
DIOGO MANUEL RIBEIRO FERREIRA

Citation names

  • Diogo R. Ferreira
  • D. R. Ferreira

Author identifiers

Ciência ID
061C-AE88-DC66
ORCID iD
0000-0001-5818-9406
Google Scholar ID
CSEqKy8AAAAJ

Email addresses

  • diogo.ferreira@tecnico.ulisboa.pt (Professional)

Telephones

Telephone
  • 214233552 (Professional)

Addresses

  • Instituto Superior Técnico, Campus do Taguspark, Avenida Prof. Dr. Cavaco Silva, 2744-016, Porto Salvo, Oeiras, Portugal (Professional)

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences
  • Exact Sciences - Physical Sciences - Fluids and Plasma Physics

Languages

Language Speaking Reading Writing Listening Peer-review
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
French Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2)
German Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2)
Swedish Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2) Elementary (A2)
Education
Degree Classification
2000/09/01 - 2004/02/17
Concluded
 Engenharia Electrotécnica e de Computadores (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
1994/09/01 - 1999/07/31
Concluded
 Engenharia Electrotécnica e de Computadores (Licenciatura)
Major in Automação, Controlo e Instrumentação
Universidade do Porto Faculdade de Engenharia, Portugal
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2023/09 - Current Associate Professor (University Teacher) Universidade de Lisboa Instituto Superior Técnico, Portugal
2006/02 - 2023/08 Assistant Professor (University Teacher) Universidade de Lisboa Instituto Superior Técnico, Portugal
2004/05 - 2006/02 Invited Assistant Professor (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal
2003/09 - 2004/05 Invited Assistant (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal
Projects

Contract

Designation Funders
2023/03/12 - 2026/09/11 PSI.COM
2022.04128.PTDC
10.54499/2022.04128.PTDC
Researcher
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento, Portugal

École Polytechnique, France

Universidade do Minho, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2013 - 2015 PADSTEP
24724
Researcher
Instituto de Engenharia de Sistemas e Computadores Novas Tecnologias, Portugal
 Quadro de Referência Estratégico Nacional
Concluded
2007 - 2010 COLABORATÓRIO
PTDC/CCI/70512/2006
Researcher
Instituto de Engenharia de Sistemas e Computadores Novas Tecnologias, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2008 - 2009 UPCASE
UPCASE
Researcher
Universidade de Lisboa Instituto Superior Técnico, Portugal
 PT Inovação
Concluded
2000 - 2002 DAMASCOS
IST-1999-11850
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 European Commission Fifth Framework Programme for Research and Development
Concluded
1999 - 2001 PRONEGI
IC-PME-PRONEGI
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Agência Nacional de Inovação SA
Concluded

Other

Designation Funders
2019/08 - 2020/02 DELADIS
DELADIS
Principal investigator
Instituto de Plasmas e Fusão Nuclear, Portugal
 European Consortium for the Development of Fusion Energy
Concluded
Outputs

Publications

Journal article
  1. Curvo, P.; Ferreira, D.R.; Jorge, R.. "Using deep learning to design high aspect ratio fusion devices". Journal of Plasma Physics 91 1 (2025): https://doi.org/10.1017/s002237782400165x.
    10.1017/s002237782400165x
  2. Carvalho, Diogo D; Ferreira, Diogo R; Silva, Luís O. "Learning the dynamics of a one-dimensional plasma model with graph neural networks". Machine Learning: Science and Technology 5 2 (2024): 025048. https://doi.org/10.1088/2632-2153/ad4ba6.
    10.1088/2632-2153/ad4ba6
  3. Ferreira, Diogo R; Gillgren, Andreas; Ludvig-Osipov, Andrei; Strand, Pär. "High temporal resolution of pedestal dynamics via machine learning on density diagnostics". Plasma Physics and Controlled Fusion 66 2 (2023): 025001. https://doi.org/10.1088/1361-6587/ad15ef.
    10.1088/1361-6587/ad15ef
  4. FERREIRA, Diogo R; CARVALHO, Pedro J; CARVALHO, Ivo S; STUART, Chris I; LOMAS, Peter J. "Investigating the physics of disruptions with real-time tomography at JET". Plasma Science and Technology 24 3 (2022): 035103. https://doi.org/10.1088/2058-6272/ac3ba4.
    10.1088/2058-6272/ac3ba4
  5. Ferreira, Diogo R; Martins, Tiago A; Rodrigues, Paulo. "Explainable deep learning for the analysis of MHD spectrograms in nuclear fusion". Machine Learning: Science and Technology 3 1 (2021): 015015. https://doi.org/10.1088/2632-2153/ac44aa.
    10.1088/2632-2153/ac44aa
  6. Ferreira, Diogo R. "A brief comment on the numerical results in ‘Electrostatic potential of a uniformly charged triangle in barycentric coordinates’". European Journal of Physics 42 6 (2021): 068001. https://doi.org/10.1088/1361-6404/ac1b72.
    10.1088/1361-6404/ac1b72
  7. Ferreira, Diogo R. "Using HPC infrastructures for deep learning applications in fusion research". Plasma Physics and Controlled Fusion 63 8 (2021): 084006. https://doi.org/10.1088/1361-6587/ac0a3b.
    10.1088/1361-6587/ac0a3b
  8. Piron, L.; Valcarcel, D.; Lennholm, M.; Stuart, C.I.; Carvalho, I.S.; Felton, R.; Ferreira, D.R.; et al. "Progress in preparing real-time control schemes for Deuterium-Tritium operation in JET". Fusion Engineering and Design 166 (2021): 112305. https://doi.org/10.1016/j.fusengdes.2021.112305.
    10.1016/j.fusengdes.2021.112305
  9. Pucella, G.; Buratti, P.; Giovannozzi, E.; Alessi, E.; Auriemma, F.; Brunetti, D.; Ferreira, D.R.; et al. "Onset of tearing modes in plasma termination on JET: the role of temperature hollowing and edge cooling". Nuclear Fusion 61 4 (2021): 046020. https://doi.org/10.1088/1741-4326/abe3c7.
    10.1088/1741-4326/abe3c7
  10. Ferreira, Diogo R.; Carvalho, Pedro J.; Carvalho, Ivo S.; Stuart, Chris; Lomas, Peter J.. "Monitoring the plasma radiation profile with real-time bolometer tomography at JET". Fusion Engineering and Design 164 (2021): 112179. https://doi.org/10.1016/j.fusengdes.2020.112179.
    10.1016/j.fusengdes.2020.112179
  11. Ivanova-Stanik, I; Zagórski, R; Chomiczewska, A; Lomas, P J; Voitsekhovitch, I; Ferreira, D R; Sozzi, C; Joffrin, E; Lerche, E. "Influences of heating and plasma density on impurity production and transport during the ramp-down phase of JET ILW discharge". Plasma Physics and Controlled Fusion 63 3 (2021): 035008. https://doi.org/10.1088/1361-6587/abd13c.
    10.1088/1361-6587/abd13c
  12. Ferreira, Diogo R.; Carvalho, Pedro J.; Sozzi, Carlo; Lomas, Peter J.; JET Contributors. "Deep Learning for the Analysis of Disruption Precursors Based on Plasma Tomography". Fusion Science and Technology 76 8 (2020): 901-911. https://doi.org/10.1080/15361055.2020.1820749.
    10.1080/15361055.2020.1820749
  13. Cardoso, R.V.; Ferreira, D.R.; Carvalho, D.D.; Hachmeister, D.; Fernandes, H.; Alves, H.; Figueiredo, H.. "Assessment of tomography signals in view of neural network reconstruction at ISTTOK". Journal of Instrumentation 15 01 (2020): C01022-C01022. https://doi.org/10.1088/1748-0221/15/01/c01022.
    10.1088/1748-0221/15/01/c01022
  14. Ferreira, Diogo R.; Carvalho, Pedro J.; Fernandes, Horacio. "Deep Learning for Plasma Tomography and Disruption Prediction From Bolometer Data". IEEE Transactions on Plasma Science 48 1 (2020): 36-45. https://doi.org/10.1109/tps.2019.2947304.
    10.1109/tps.2019.2947304
  15. Carvalho, D.D.; Ferreira, D.R.; Carvalho, P.J.; Imrisek, M.; Mlynar, J.; Fernandes, H.; Contributors, JET. "Deep neural networks for plasma tomography with applications to JET and COMPASS". Journal of Instrumentation 14 09 (2019): C09011-C09011. https://doi.org/10.1088/1748-0221/14/09/c09011.
    10.1088/1748-0221/14/09/c09011
  16. Hachmeister, D.; Ferreira, D.R.; Carvalho, D.D.; Cardoso, R.V.; Alves, H.; Figueiredo, H.; Fernandes, H.. "Experimental validation of plasma tomography algorithms at ISTTOK". Journal of Instrumentation 14 08 (2019): C08006-C08006. https://doi.org/10.1088/1748-0221/14/08/c08006.
    10.1088/1748-0221/14/08/c08006
  17. Mlynar, Jan; Craciunescu, Teddy; Ferreira, Diogo R.; Carvalho, Pedro; Ficker, Ondrej; Grover, Ondrej; Imrisek, Martin; Svoboda, Jakub. "Current Research into Applications of Tomography for Fusion Diagnostics". Journal of Fusion Energy 38 3-4 (2018): 458-466. https://doi.org/10.1007/s10894-018-0178-x.
    10.1007/s10894-018-0178-x
  18. Ferreira, Diogo R.; Carvalho, Pedro J.; Fernandes, Horácio; JET Contributors. "Full-Pulse Tomographic Reconstruction with Deep Neural Networks". Fusion Science and Technology 74 1-2 (2018): 47-56. https://doi.org/10.1080/15361055.2017.1390386.
    10.1080/15361055.2017.1390386
  19. Matos, Francisco A.; Ferreira, Diogo R.; Carvalho, Pedro J.. "Deep learning for plasma tomography using the bolometer system at JET". Fusion Engineering and Design 114 (2017): 18-25. https://doi.org/10.1016/j.fusengdes.2016.11.006.
    10.1016/j.fusengdes.2016.11.006
  20. Diogo R. Ferreira; Pedro J. Carvalho; Horácio Fernandes; JET Contributors. "Robust regression with CUDA and its application to plasma reflectometry". Review of Scientific Instruments 86 11 (2015): 113507-113507. https://doi.org/10.1063%2F1.4935882.
    10.1063/1.4935882
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2023/04 Improving the time resolution of Thomson scattering via machine learning on reflectometry data 5th European Conference on Plasma Diagnostics (ECPD 2023)
(Rethymno, Greece)
2021/12 Predicting locked-mode disruptions with explainable deep learning on MHD spectrograms 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis
2021/10 AI Meets Nuclear Fusion NVAITC Webinar Series on AI Applications in Computational Sciences
Finnish Center for Artificial Intelligence (FCAI) (Helsínquia, Finland)
2021/05 Termination of Discharges in High Performance Scenarios in JET 28th IAEA Fusion Energy Conference
International Atomic Energy Agency (IAEA) (Cadarache, France)
2020/12 Deep Learning for Plasma Tomography in Nuclear Fusion NeurIPS 2020 Workshop on Deep Learning and Inverse Problems
(Vancouver, Canada)
2020/11 Use of HPC Infrastructures for Deep Learning in Fusion Research 1st Spanish Fusion HPC Workshop
(Barcelona, Spain)
2020/09 Plasma Monitoring and Control with Real-Time Tomography at JET 31st Symposium on Fusion Technology (SOFT2020)
2020/09 Progress in preparing real-time control schemes for Deuterium-Tritium operation in JET 31st Symposium on Fusion Technology (SOFT2020)
2020/07 Identifying Disruption Precursors by Anomaly Detection on Bolometer Tomography IAEA Technical Meeting on Plasma Disruptions and their Mitigation
2019/08 Deep Learning for Plasma Tomography and Disruption Prediction CCFE Physics and Technology Meeting
(Abingdon, United Kingdom)
2019/07 An introduction to Plasma Tomography ISTTOK Training Program on Tokamak Engineering and Operation
(Lisboa, Portugal)
2019/06 Deep Learning for Plasma Tomography and Disruption Prediction MIT-PSFC Machine Learning Working Group
(Boston, United States)
2018/10 Applications of Deep Learning to Nuclear Fusion Research NVIDIA GPU Technology Conference
(Munique, Germany)
2018/10 Early Identification of Disruption Paths for Prevention and Avoidance 27th IAEA Fusion Energy Conference
International Atomic Energy Agency (IAEA) (Ahmedabad, India)
2018/07 An introduction to Plasma Tomography ISTTOK Training Program on Tokamak Engineering and Operation
(Lisboa, Portugal)
2018/07 Regularization extraction for real-time plasma tomography at JET 45th EPS Conference on Plasma Physics
(Praga, Czech Republic)
2018/06 Analysis of the ramp-down phase of JET ILW discharges 3rd International Conference on Plasma Surface Interactions in Controlled Fusion Devices
(Princeton, United States)
2017/06 Full-pulse tomographic reconstruction with deep neural networks 2nd IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis
MIT Plasma Science and Fusion Center (PSFC) (Boston, United States)

Journal scientific committee

Journal title (ISSN) Publisher
2025 - Current Plasma Science and Technology IOP
2024 - Current Journal of Applied Physics AIP
2023 - Current Scientific Reports Nature
2023 - Current Plasma Sources Science and Technology IOP
2021 - Current Neural Networks Elsevier
2020 - Current Fusion Engineering and Design Elsevier
2019 - Current Plasma Physics and Controlled Fusion IOP
2019 - Current Nuclear Instruments and Methods in Physics Research Elsevier
2019 - Current IEEE Transactions on Plasma Science IEEE
2019 - Current Journal of Instrumentation IOP
2018 - Current Nuclear Fusion IOP
2017 - Current Data & Knowledge Engineering (0169-023X) Elsevier
2017 - Current Review of Scientific Instruments AIP
Distinctions

Award

2024 Excellence in Teaching Award
Universidade de Lisboa Instituto Superior Técnico, Portugal
2023 Excellence in Teaching Award
Universidade de Lisboa Instituto Superior Técnico, Portugal
2022 Excellence in Teaching Award
Universidade de Lisboa Instituto Superior Técnico, Portugal
2020 Excellence in Teaching Award
Universidade de Lisboa Instituto Superior Técnico, Portugal
2020 IOP trusted reviewer
IOP Publishing Ltd, United Kingdom
2019 Excellence in Teaching Award
Universidade de Lisboa Instituto Superior Técnico, Portugal
2018 Excellence in Teaching Award
Universidade de Lisboa Instituto Superior Técnico, Portugal
2017 Excellence in Teaching Award
Universidade de Lisboa Instituto Superior Técnico, Portugal
2016 Excellence in Teaching Award
Universidade de Lisboa Instituto Superior Técnico, Portugal
2015 Excellence in Teaching Award
Universidade de Lisboa Instituto Superior Técnico, Portugal
2013 Best Paper Award
Universidade do Porto Faculdade de Ciências, Portugal
2013 Excellence in Teaching Award
Universidade de Lisboa Instituto Superior Técnico, Portugal
2012 ICGA Journal Award
International Computer Games Association, Netherlands
2005 Best Paper Award
Universiteit Twente, Netherlands