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Weronika Wojtak is a Senior Researcher at the CCG/ZGDV Institute, working in the field of human–robot interaction with a focus on cognitive and adaptive systems for natural collaboration. Her research centers on developing computational models—particularly Dynamic Neural Field (DNF) architectures—that enable robots to interpret human behavior, anticipate actions, and coordinate effectively in time-sensitive, real-world environments. She holds a PhD in Applied Mathematics (2021) from the Universidade do Minho, a Master’s degree in Computer Science (2013), and a Bachelor’s degree in Biomedical Engineering (2012), both from Uniwersytet Zielonogórski (Poland). Her work integrates robotics, machine learning, and multimodal perception to advance intuitive, resilient, and human-centered robotic systems.
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Identificação

Identificação pessoal

Nome completo
Weronika Wojtak

Nomes de citação

  • Wojtak, Weronika

Identificadores de autor

Ciência ID
1516-682B-D9DF
ORCID iD
0000-0001-9515-2397

Endereços de correio eletrónico

  • weronika.wojtak@ccg.pt (Profissional)

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Robótica
  • Ciências Exatas - Matemática - Matemática Aplicada
  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Computação

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Polaco (Idioma materno)
Inglês Utilizador proficiente (C1) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2)
Formação
Grau Classificação
2021/09/28
Concluído
 Matemática Aplicada (associação) (Doutoramento)
Especialização em Sem especialidade
Universidade do Minho, Portugal
"A novel dynamic field model supporting a continuum of bump amplitudes: analysis and applications" (TESE/DISSERTAÇÃO)
2012/03/12 - 2013/07/12
Concluído
 Master's degree in Computer Science (Magister (2.º ciclo de estudos))
Uniwersytet Zielonogórski, Polónia
"Computer system to support breast cancer diagnosis based on microscope images of the Fine Needle Biopsy" (TESE/DISSERTAÇÃO)
 5/5
2008/10/01 - 2012/03/07
Concluído
 Bachelor's degree in Biomedical Engineering (Bachelor (1.º ciclo de estudos))
Uniwersytet Zielonogórski, Polónia
"Automatic nuclei detection on cytological images using the firefly optimization algorithm" (TESE/DISSERTAÇÃO)
 5/5
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento		 Empregador
2023/07/01 - Atual Investigador (Investigação) Centro de Computação Gráfica, Portugal
Centro de Computação Gráfica, Portugal
2020/12/02 - 2023/06/30 Pós-doutorado (Investigação) Universidade do Minho - Campus de Azurém, Portugal
2016/09/01 - 2020/12/01 Investigador (Investigação) Universidade do Minho - Campus de Azurém, Portugal
Universidade do Minho - Campus de Azurém, Portugal
2013/10/01 - 2016/08/31 Investigador (Investigação) Universidade do Minho - Campus de Azurém, Portugal
Projetos

Bolsa

Designação Financiadores
2024/12/01 - 2025/11/30 TIME4HRI - Learning TIME constrained sequences for natural Human-Robot Interaction
101070596
Investigador responsável
Centro de Computação Gráfica, Portugal
Concluído
2019/01 - 2019/12 Centro de Investigação ALGORITMI
154637UID
UID/CEC/00319/2019
Universidade do Minho, Portugal

Universidade do Minho Centro ALGORITMI, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
Produções

Publicações

Artigo em conferência
  1. Wojtak, Weronika; Ferreira, Flora José Rocha; Bicho, Estela; Erlhagen, Wolfram. "Neural field model for measuring and reproducing time intervals". 2019.
    10.1007/978-3-030-30487-4_26
  2. Wojtak, Weronika; Ferreira, Flora José Rocha; Bicho, Estela; Erlhagen, Wolfram. "Numerical analysis of the shape of bump solutions in a neuronal model of working memory". 2019.
    10.1063/1.5114243
  3. Ferreira, Flora; Wojtak, Weronika; Erlhagen, Wolfram; Vicente, Paulo; Ankit, Patel R.; Bicho, Estela. "A dynamic neural model for endowing intelligent cars with the ability to learn driver routines: where to go, when to arrive and how long to stay there?". Trabalho apresentado em Towards Cognitive Vehicles Workshop – IROS 2019, 2019.
    10.6084/m9.figshare.13655636.v1
  4. Wojtak, Weronika; Ferreira, Flora José Rocha; Louro, Luís; Bicho, Estela; Erlhagen, Wolfram. "Towards temporal cognition for robots: a neurodynamics approach". 2017.
    10.1109/DEVLRN.2017.8329836
  5. Wojtak, Weronika; Coombes, Stephen; Bicho, Estela; Erlhagen, Wolfram. "Combining spatial and parametric working memory in a dynamic neural field model". 2016.
    10.1007/978-3-319-44778-0_48
  6. Wojtak, Weronika; Ferreira, Flora José Rocha; Erlhagen, Wolfram; Bicho, Estela. "Learning joint representations for order and timing of perceptual-motor sequences: a dynamic neural field approach". 2015.
    10.1109/IJCNN.2015.7280717
Artigo em revista
  1. Guimarães, Pedro M. F.; Ferreira, Flora; Wojtak, Weronika; Barbosa, Paulo J. S.; Monteiro, Sérgio; Bicho, Estela; Erlhagen, Wolfram. "A Dynamic Neural Field Approach for Intelligent Cockpits: Online Learning and Prediction of Traveling Routines". IEEE Transactions on Intelligent Transportation Systems 25 12 (2024): 20240-20255. https://doi.org/10.1109/tits.2024.3463389.
    10.1109/tits.2024.3463389
  2. Wojtak, Weronika; Coombes, Stephen; Avitabile, Daniele; Bicho, Estela; Erlhagen, Wolfram. "Robust working memory in a two-dimensional continuous attractor network". (2023): https://hdl.handle.net/1822/85745.
    10.1007/s11571-023-09979-3
  3. Wojtak, Weronika; Ferreira, Flora José Rocha; Louro, Luís; Bicho, Estela; Erlhagen, Wolfram. "Adaptive timing in a dynamic field architecture for natural human–robot interactions". (2023): https://hdl.handle.net/1822/85747.
    10.1016/j.cogsys.2023.101148
  4. Weronika Wojtak; Stephen Coombes; Daniele Avitabile; Estela Bicho; Wolfram Erlhagen. "A dynamic neural field model of continuous input integration". Biological Cybernetics 115 5 (2021): 451-471. http://dx.doi.org/10.1007/s00422-021-00893-7.
    10.1007/s00422-021-00893-7
  5. Ferreira, Flora José Rocha; Wojtak, Weronika; Sousa, Emanuel; Louro, Luis; Bicho, Estela; Erlhagen, Wolfram. "Rapid learning of complex sequences with time constraints: A dynamic neural field model". (2020): http://hdl.handle.net/1822/69418.
    10.1109/TCDS.2020.2991789
  6. Wojtak, Weronika; Ferreira, Flora José Rocha; Vicente, Paulo Sérgio Cunha; Louro, Luís; Bicho, Estela; Erlhagen, Wolfram. "A neural integrator model for planning and value-based decision making of a robotics assistant". (2020): http://hdl.handle.net/1822/69412.
    10.1007/s00521-020-05224-8
  7. Wojtak, Weronika; Silva, Cristiana J.; Torres, Delfim F. M.. "Uniform asymptotic stability of a fractional tuberculosis model". (2018): http://hdl.handle.net/10773/24522.
    10.1051/mmnp/2018015
Capítulo de livro
  1. Dias, Pedro; Ferreira, Flora; Guimarães, Pedro M. F.; Wojtak, Weronika; Erlhagen, Wolfram; Monteiro, Sérgio; Sousa, Emanuel; Bicho, Estela. "A Machine Learning Approach for Points of Interest Extraction and Event Classification". In IFIP Advances in Information and Communication Technology, 69-82. Springer Nature Switzerland, 2024.
    10.1007/978-3-031-63223-5_6
  2. Paulo Barbosa; Flora Ferreira; Carlos Fernandes; Wolfram Erlhagen; Pedro Guimarães; Weronika Wojtak; Sérgio Monteiro; Estela Bicho. "Endowing Intelligent Vehicles with the Ability to Learn User’s Habits and Preferences with Machine Learning Methods". 157-169. Springer International Publishing, 2022.
    10.1007/978-3-031-21753-1_16
  3. Weronika Wojtak; Flora Ferreira; Pedro Guimarães; Paulo Barbosa; Sérgio Monteiro; Wolfram Erlhagen; Estela Bicho. "Towards Endowing Intelligent Cars with the Ability to Learn the Routines of Multiple Drivers: A Dynamic Neural Field Model". 337-349. Springer International Publishing, 2021.
    10.1007/978-3-030-86973-1_24
  4. Flora Ferreira; Weronika Wojtak; Carlos Fernandes; Pedro Guimarães; Sérgio Monteiro; Estela Bicho; Wolfram Erlhagen. "Dynamic Identification of Stop Locations from GPS Trajectories Based on Their Temporal and Spatial Characteristics". 347-359. Springer International Publishing, 2021.
    10.1007/978-3-030-86380-7_28
  5. Pawel Filipczuk; Weronika Wojtak; Andrzej Obuchowicz. "Automatic Nuclei Detection on Cytological Images Using the Firefly Optimization Algorithm". 85-92. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-31196-3_9

Outros

Outra produção
  1. Solving neural field equations using physics informed neural networks. This article presents an approach for solving neural field equations (NFEs) using Physics Informed Neural Networks (PINNs). NFEs are integro-differential equations describing the spatio-temporal dynamics of neuronal populations in the cortex. The traditional numerical methods for NFEs require significant computational effort due to the discretization of the spatial convolution. The proposed approa. 2023. Wojtak, Weronika; Bicho, Estela; Erlhagen, Wolfram. https://hdl.handle.net/1822/90178.
Distinções

Prémio

2019 3rd Prize – International Collegiate Competition for Brain-Inspired Computing (Tsinghua University)
2019 Best Poster Award at 'Towards Cognitive Vehicles Workshop' (TCV2019) at IROS 2019