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Cecília Eduarda Coelho Machado da Cruz Martins. Concluiu o(a) Mestrado em Matemática e Computação em 2020 pelo(a) Universidade do Minho e Licenciatura em Física em 2018 pelo(a) Universidade do Minho. Frequenta o(a) Doutoramento em Doutoramento em Matemática pelo(a) Universidade do Minho desde 2022. É Phd Student no(a) Fundação para a Ciência e a Tecnologia. Publicou 2 artigos em revistas especializadas. Possui 3 capítulo(s) de livros. Organizou 1 evento(s). Participou em 10 evento(s). Recebeu 1 prémio(s) e/ou homenagens. Participa e/ou participou como Bolseiro de Investigação em 1 projeto(s). Atua na(s) área(s) de Ciências Exatas com ênfase em Matemática com ênfase em Matemática Aplicada. No seu currículo Ciência Vitae os termos mais frequentes na contextualização da produção científica, tecnológica e artístico-cultural são: CERN; Artificial Intelligence; Retail; Applied Mathematics; Machine Learning; Computer Vision; Deep Learning; RetinaNet; Object Detection; Dark Matter; Higgs Boson; Optimization; Energy Production; Neural Networks; Constrained optimization ; Neural ODE; Explainability; Natural systems; Differential equations; Data; Physics; Time-series; Dataset; climate change; Optimisation; Sequential approach; Viscoelastic models; Phan-thien and tanner; gPTT; Rheology; Ciências Naturais::Matemáticas; Science & Technology; Latent ODE; RNN; LSTM; Gradient Clipping; Latent ODE-LSTM; Graph Neural Networks; Adversarial Learning; .
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Identification

Personal identification

Full name
Cecília Eduarda Coelho Machado da Cruz Martins

Citation names

  • Coelho, C

Author identifiers

Ciência ID
3713-4321-9DC6
ORCID iD
0009-0009-4502-937X

Email addresses

  • ceciliaeduarda58@gmail.com (Professional)
  • cmartins@cmat.uminho.pt (Professional)

Knowledge fields

  • Exact Sciences - Mathematics - Applied Mathematics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Japanese Beginner (A1) Beginner (A1) Beginner (A1) Elementary (A2)
Education
Degree Classification
2022 - 2025
Ongoing
 Doutoramento em Matemática (Doutoramento)
Universidade do Minho, Portugal

Universidade do Minho Escola de Ciências, Portugal
"Neural networks based on differential equations for modelling real systems" (THESIS/DISSERTATION)
2021
Concluded
 Otimização Aplicada às Ciências e Engenharia (Diploma de especialização)
Major in Modelação e Otimização Não Linear
Universidade do Minho, Portugal
 19
2020
Concluded
 Matemática e Computação (Mestrado)
Major in Sem especialização
Universidade do Minho, Portugal
"Machine Learning and Image Processing" (THESIS/DISSERTATION)
 16
2018
Concluded
 Física (Licenciatura)
Universidade do Minho, Portugal
"Determinação das Propriedades Óticas da Córnea" (THESIS/DISSERTATION)
 14
Affiliation

Science

Category
Host institution 		Employer
2020/11 - 2022/04/30 Researcher (Research) Universidade do Minho Centro de Matemática, Portugal
Universidade do Minho, Portugal

Others

Category
Host institution 		Employer
2022/05/01 - Current Phd Student Fundação para a Ciência e a Tecnologia, Portugal
Universidade do Minho Centro de Matemática, Portugal
2019/10 - 2020/07 Estagiário de Machine Learning Accenture Portugal, Portugal
Projects

Grant

Designation Funders
2022/05 - 2025 Neural Networks based on Differential Equations for Modelling Real Systems
Ph.D. 2021.05201.BD
 Fundação para a Ciência e a Tecnologia
2023/11 - 2024/11 HydroEthiX - Integrating Constraints for Sustainable Management of Hydropower Plants: A Transparent and Ethical AI Approach.
CPCA-IAC/AV/589164/2023
 Fundação para a Ciência e a Tecnologia

Contract

Designation Funders
2020/11 - 2022/04 VALORAGUA - modernize, update and adapt a management software for the optimization of the hydrothermal electric power system, to the new current and future challenges
008/TT/2020
Research Fellow
Universidade do Minho Centro de Matemática, Portugal

Redes Energéticas Nacionais SGPS SA, Portugal
Ongoing
Outputs

Publications

Book chapter
  1. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "A Filter-based Neural ODE Approach for Modelling Natural Systems with Prior Knowledge Constraints". In Lecture Notes in Artificial Intelligence. Springer International Publishing, 2023.
    Accepted
  2. Coelho, C.; Costa, M. Fernanda P.; Ferrás, L. L.; Soares, A. J.. "Object Detection with RetinaNet on Aerial Imagery: The Algarve Landscape". In Computational Science and Its Applications – ICCSA 2021, 501-516. Springer International Publishing, 2021.
    10.1007/978-3-030-86960-1_35
  3. Costa, M. Fernanda P.; Coelho, C.; Ferrás, L. L.. "Optimisation Approach for Parameter Estimation of the Generalised PTT Viscoelastic Model". In Computational Science and Its Applications – ICCSA 2021, 481-494. Springer International Publishing, 2021.
    10.1007/978-3-030-86973-1_34
Conference paper
  1. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs". Paper presented in European Conference on Artificial Intelligence (ECAI), Kraków, 2023.
    Under revision
  2. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "A Study on Adaptive Penalty Functions in Neural ODEs for Real Systems Modeling". Paper presented in 21st International Conference of Numerical Analysis and Applied Mathematics, Crete, 2023.
    Accepted
  3. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "Prior knowledge meets Neural ODEs: a two-stage training method for improved explainabilitty". Paper presented in Eleventh International Conference on Learning Representations (ICLR), Kigali, 2023.
    Accepted
  4. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "The role of adaptive activation functions in Fractional Physics-Informed Neural Networks". Paper presented in 20th International Conference of Numerical Analysis and Applied Mathematics, Crete, 2022.
    Accepted
  5. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "The Influence of the Optimization Algorithm in the Solution of the Fractional Laplacian Equation by Neural Networks". Paper presented in 19th International Conference of Numerical Analysis and Applied Mathematics, Rhodes, 2021.
    Accepted
  6. D. S. Carrilho; C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás; A.J. Soares. "Optimization of traffic lights using Supervised Learning". Paper presented in 19th International Conference of Numerical Analysis and Applied Mathematics, Rhodes, 2021.
    Accepted
  7. L. Albuquerqe; C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás; A.J. Soares. "Improving public parking by using artificial intelligence". Paper presented in 19th International Conference of Numerical Analysis and Applied Mathematics, Rhodes, 2021.
    Accepted
  8. Coelho, C; M. Fernanda P. Costa; L.L. Ferrás; A.J. Soares. "Development of a machine learning model and a user interface to detect illegal swimming pools". Paper presented in SYMCOMP 2021 5th International Conference on Numerical and Symbolic Computation Developments and Applications, Évora, 2021.
    Published
Conference poster
  1. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "Improving Neural ODEs Explainability: A Two-Stage Training Method for Modeling Constrained Natural Systems". Paper presented in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin, Italy (Accepted), 2023.
  2. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "Not All Roses: The Impact of Neural Networks for Hydropower Plant Management in Agriculture". Paper presented in ECAI 2023 Workshop on Artificial Intelligence for Sustainability, 2023.
  3. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "Fractional Physics Informed Neural Networks with adaptive activation functions: a numerical study". Paper presented in Challenges in Numerical Analysis and Scientific Computing, 2022.
  4. Costa, M. Fernanda P. ; C. Coelho; L.L. Ferrás. "Parameter Estimation for Constitutive Differential Equations: An Optimization Approach". Paper presented in Open Day CMAT, 2021.
  5. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás; A.J. Soares. "Implementation of a Deep Learning model capable of detecting objects from satellite images". Paper presented in Open Day CMAT, 2021.
  6. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "Neural Networks and Fractional Differential Equations". Paper presented in Open Day CMAT, 2021.
Journal article
  1. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach". (2023):
    Submitted
  2. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data". (2023):
    Submitted
Online resource
  1. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. Damped Harmonic Oscillator Dataset. 2023. https://www.kaggle.com/ds/3147798.
  2. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. Synthetic Chemical Reaction Dataset. 2023. https://www.kaggle.com/ds/3010478.
  3. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. World Population Growth Dataset. 2023. https://www.kaggle.com/ds/3010437.
  4. C. Coelho. Code repository of the paper "The role of adaptive activation functions in Fractional Physics-Informed Neural Networks". 2022. https://github.com/CeciliaCoelho/icnaam2022.
Preprint
  1. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data". 2023. https://arxiv.org/abs/2307.01023.
  2. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach". 2023. https://arxiv.org/abs/2307.05126.
  3. C. Coelho; Costa, M. Fernanda P. ; L.L. Ferrás. "A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs". 2023. https://arxiv.org/abs/2307.14940.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2023/09/22 Prior Knowledge Meets Neural ODEs: A Two-stage Training Method for Improved Explainability European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
(Turin, Italy)
2023/09 A Study on Adaptive Penalty Functions in Neural ODEs for Real Systems Modeling 21st International Conference of Numerical Analysis and Applied Mathematics
(Crete, Greece)
2023/09 A Filter-based Neural ODE Approach for Modelling Natural Systems with Prior Knowledge Constraints European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
(Turin, Italy)
2023/03/15 Mesa redonda “À conversa com bolseiros” CMAT Labs Fest
Centro de Matemática (CMAT), Universidade do Minho (Braga, Portugal)
2023/03/14 Invited Talk - Investigação em Matemática: testemunhos de alunos de doutoramento CMAT Labs Fest
Centro de Matemática (CMAT), Universidade do Minho (Braga, Portugal)
2023 Invited Talk - Inteligência Artificial explicada às crianças: Como ensinar um computador a detetar a nossa face Conversar com um cientista
Centro de Ciência Viva de Braga (Portugal)
2023 Invited Talk - Aplicações da Inteligência Artificial: sistemas de recomendação (redes sociais, plataformas de streaming, comércio eletrónico), classificação/deteção de objetos em imagem/vídeo e geração de conteúdo artificial/falso Investigadores voltam à escola
Escola Secundária de Caldas das Taipas
2023 Neural Networks based on Differential Equations for Modelling Real Systems European Conference on Artificial Intelligence (ECAI)
(Krakow, Poland)
2022 The role of adaptive activation functions in Fractional Physics-Informed Neural Networks 20th International Conference of Numerical Analysis and Applied Mathematics
(Greece)
2021/03/26 Development of a Machine Learning Model and a User Interface to Detect Illegal Swimming Pools SYMCOMP 2021 - 5th International Conference on Numerical and Symbolic Computation Developments and Applications
(Évora, Portugal)
2021 Invited Talk - Aplicações da Inteligência Artificial no processamento de imagem: condução autónoma e classificação/deteção de objetos em imagens Investigadores voltam à escola
Escola Secundária das Taipas (Taipas, Portugal)
2021 Invited Talk - A Successful Cooperation between Academia and Industry Encontro Nacional Sociedade Portuguesa de Matemática
Sociedade Portuguesa de Matemática (Portugal)
2021 Object Detection with RetinaNet on Aerial Imagery: the Algarve's Landscape 21st International Conference on Computational Science and its Applications
(Italy)
2021 The Influence of the Optimization Algorithm in the Solution of the Fractional Laplacian Equation by Neural Networks 19th International Conference of Numerical Analysis and Applied Mathematics
(Greece)
2021 Invited Talk - Aplicações da Inteligência Artificial no processamento de imagem: condução autónoma e classificação/deteção de objetos em imagens Investigadores voltam à escola
Colégio La Salle (Barcelos) (Portugal)

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2016/02 - 2016/03 Exhibition celebrating the 30th anniversary of LIP (Laboratory for Instrumentation and Experimental Particle Physics) (2016/02 - 2016/03)
Exhibition (Other)
 Universidade do Minho, Portugal

Laboratório de Instrumentação e Física Experimental de Partículas, Portugal

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2023/06/23 - 2023/07/27 The Climate Change AI summer school is designed to educate and prepare participants with a background in artificial intelligence (AI) and/or a background in a climate change-related field to tackle major climate problems using AI.
Workshop
 Climate Change AI Summer School 2023
Climate Change AI, Canada
2023/03 - 2023/04 Vídeo de divulgação com o objectivo de promover a Matemática junto de alunos do ensino secundário de diferentes escolas secundárias de Vila Real, com o testemunho das diversas potencialidades de formação em Matemática bem como algumas aplicações e investigação em Matemática.
Other
 Da Matemática para o Mundo, Dia Internacional da Mattemática 2023
Centro de Matemática Pólo da Universidade de Trás-os-Montes e Alto Douro, Portugal
2021/08 - 2021/09 -Robust Optimization: the need, the challenge and the success delivered by Aharon Ben-Tal (Technion – Israel Institute of Technology); -Nonsmooth Optimization: the need, the challenge and the success delivered by Manlio Gaudioso (Università della Calabria).
Workshop
 EUROPT Summer School 2021
International Centre for Mathematical Sciences, United Kingdom
2021/07 - 2021/09 Completed the two-week intensive course provided by IBM Quantum, completing all graded lab work assignments with a final cumulative score above 75%, demonstrating applied understanding and comfort with and about Quantum Computing and Quantum Machine Learning using Qiskit
Workshop
 2021 Qiskit Global Summer School on Quantum Machine Learning
IBM Research, United States
2021/06 - 2021/08 The HelloAI RIS Online program (full scholarship) provides the missing pieces of understanding AI’s role and its endless healthcare industry opportunities. Students are trained for the terms and application possibilities of AI in healthcare and gain insights into how AI can empower medical professionals.
Workshop
 HelloAI RIS - AI in Healthcare (full scholarship)
KTH Royal Institute of Technology Centre for Autonomous Systems, Sweden

Leitat, Spain

Universiteit Maastricht, Netherlands

Debreceni Egyetem, Hungary
2021/03 - 2021/03 In the Retail segment, it becomes more noticeable how it is impossible to compete with Artificial Intelligence, and the importance of innovating to survive. The speed and assertiveness that AI delivers to the consumer's desires for personalization, recommendations, analysis of emotions, prediction of behavior, for the volume you want, is incredible. Not to mention automated repetitive tasks, monitoring and price adjustments, creating new products and forecasting demands and stocks. These and other issues were addressed with market experts.
Seminar
 Artificial Intelligence in Retail
I2AI (International Association of Artificial Intelligence) , Brazil
2020/06 - 2020/07 The I2AI Artificial Intelligence Marathon is an unmissable event for everyone seeking knowledge about technology that is not only infiltrating everyday life, but will transform entire industries. For two weeks, several talks enriched us with strategic, innovative, practical and inspiring knowledge about Artificial Intelligence.
Symposium
 I2AI Artificial Intelligence Marathon - Portugal
I2AI (International Association of Artificial Intelligence) , Brazil
2019/04/11 - 2019/04/12 Q DAYS was a QuantaLab event origanized by the Centre of Mathematics of the University of Minho with the support of HasLab INESC TEC. The workshop was composed of several tutorials to introduce the participants to quantum computing. Also, a hands-on session on IBM's Quantum Experience was given.
Workshop
 Q Days 2019 - QuantaLab Workshop in Quantum Computation
Universidade do Minho, Portugal
2019/03 - 2019/03 The goal of this symposium was to have a diversified sample of cases where Data Science is key in modern society outside fundamental science. Some of the speakers were former scientists who shifted their career from fundamental research at some point.
Symposium
 Data Science - Bridging Fundamental Research and Industry
Universidade do Minho, Portugal

Laboratório de Instrumentação e Física Experimental de Partículas, Portugal
2016/04 - 2016/04 Inserted in the celebrations of the international year of Light "IYL2015". An activity to disseminate Optics and Photonics bringing together students, young researchers and entrepreneurs together with renowned researchers, for reflection and debate on the importance of light, optics and photonics and its economic potential and fundamental importance in the development of modern societies, as well as on the prospects for development careers in the field of optics and photonics in Portugal.
Other
 LightTalks - Careers in Photonics
International Iberian Nanotechnology Laboratory, Portugal

Conference scientific committee

Conference name Conference host
2023/07/15 - 2023/08/01 Conference on Neural Information Processing Systems (NeurIPS) 2023 New Orleans, LA, United States
2023/06/21 - 2023/07/05 European Conference on Artificial Intelligence (ECAI) Kraków, Poland

Journal scientific committee

Journal title (ISSN) Publisher
2023/07 - Current Journal of Open Source Software (2475-9066)
Distinctions

Other distinction

2021 FCT scholarship – Ph.D. 2021.05201.BD
Fundação para a Ciência e a Tecnologia, Portugal