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Petia Georgieva is Associate Professor (with habilitation, DSc) with the University of Aveiro, Portugal where she teaches Artificial Intelligence related courses (machine learning, deep learning, artificial neural networks modelling) at undergraduate, master and PhD levels. She is a researcher with the Institute of Electronics and Informatics Engineering of Aveiro (IEETA), Portugal, and a member of the Institute of Telecommunications-Aveiro. Previously she had research position with the University of Porto (2001-2003), research visiting positions with the Rowan University (USA), Carnegie Mellon University (USA), University of Lancaster (UK) and the Bulgarian Academy of Sciences, (Bulgaria). Her research interests include machine learning, deep learning and data mining with application focus on image processing, 5G+ networks, brain computer interfaces. She has coauthored more than 150 publications registered in Scopus, supervised 14 Ph.D. dissertations and 66 Master theses. She has been involved in several projects funded by European grants (European Commission, European Science Foundation), the Portuguese Foundation for Science and Technology FCT, PT2020/PT2030, PRR funding institutions, MSCA DN, and the industry (Bosch, AlticeLab, Nokia, Infinera, etc.). She regularly acts as an Expert for European Research Programmes. She is a Member of the Board of Governors of International Neural Network Society (INNS) and an Associated Editor in the Elsevier Q1 Journals Neural Networks and Pattern Recognition.
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Identificação

Identificação pessoal

Nome completo
Petia Georgieva

Nomes de citação

  • Georgieva, Petia
  • P. Georgieva
  • Georgieva, Pétia

Identificadores de autor

Ciência ID
6D1E-22DA-1F69
ORCID iD
0000-0002-6424-6590
Google Scholar ID
https://scholar.google.co.uk/citations?user=aeA48X8AAAAJ&hl=en
Researcher Id
https://publons.com/researcher/1711121/petia-georgieva/
Scopus Author Id
57208993382

Endereços de correio eletrónico

  • petia@ua.pt (Profissional)

Moradas

  • University of Aveiro / Department of Electronics Telecomunications and Informatics / IEETA, 3800-193 , Aveiro, Aveiro, Portugal (Profissional)

Websites

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Informação
  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Automação e Sistemas de Controlo

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Búlgaro (Idioma materno)
Inglês Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2)
Português Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2)
Russo Utilizador independente (B2) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Alemão Utilizador independente (B1) Utilizador proficiente (C1) Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1)
Formação
Grau Classificação
2022/12/15
Concluído
 Agregação em Engenharia Informática (Título de Agregado)
Universidade de Aveiro, Portugal
 Aprovada por Unanimidade
2003/04
Concluído
 Engenharia Electrotécnica e de Computadores (Doutoramento)
Especialização em Computer Science
Universidade do Porto Faculdade de Engenharia, Portugal
"Synthesis of Linear-sqare Self-adjusting Regulator" (TESE/DISSERTAÇÃO)
1997/05/20
Concluído
 Ph.D. in Systems and Control Engineering (Doctor of Philosophy)
Tehniceski universitet-Sofia Fakultet Avtomatika, Bulgária
1987/07/05
Concluído
 M.Sc. in Systems and Control Engineering, (Master)
Tehnicheski universitet Sofija, Bulgária
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2019/04/01 - Atual Investigador (Investigação) Instituto de Telecomunicações, Portugal
Instituto de Telecomunicações, Portugal
2003 - Atual Investigador (Investigação) Universidade de Aveiro Instituto de Engenharia Eletrónica e Informática de Aveiro, Portugal
2001/05 - 2003/09 Investigador Contratado (Investigação) Universidade do Porto Instituto de Sistemas e Robótica Pólo do Porto, Portugal
1996 - 2001 Investigador principal (carreira) (Investigação) B'lgarska akademia na naukite, Bulgária
1999/05 - 1999/06 Investigador visitante (Investigação) University of Exeter, Reino Unido
1994/04 - 1994/09 Investigador visitante (Investigação) Universität Kassel, Alemanha
1994/01 - 1994/03 Investigador visitante (Investigação) Inria Centre de Recherche de Paris, França

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2020/10/15 - Atual Professor Associado (Docente Universitário) Universidade de Aveiro, Portugal
Universidade de Aveiro, Portugal
2008/11/01 - 2020/09/30 Professor Auxiliar (Docente Universitário) Universidade de Aveiro, Portugal
2003/09 - 2008/10 Assistente Convidado (Docente Universitário) Universidade de Aveiro, Portugal
1992/09 - 1995/06 Monitor (Docente Universitário) Tehniceski universitet-Sofia, Bulgária

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2010 - Atual Member of painel of Experts-evaluators of EU proposals and running projects European Commission, Bélgica
2019/09 - 2020/01 Guest Faculty in Electrical and Computer Engineering Carnegie Mellon University Silicon Valley, Estados Unidos
2016/01 - 2016/06 Guest Faculty in the Department of Electrical and Computer Engineering (ECE) Rowan University, Estados Unidos
2009/09 - 2013/09 Head of Signal Processing Lab of IEETA Universidade de Aveiro Instituto de Engenharia Eletrónica e Informática de Aveiro, Portugal
2012/09 - 2013/01 Guest Faculty in Computer Science Department and Robotics Institute of CMU Carnegie Mellon University, Estados Unidos
2011/05 - 2011/09 Guest Faculty in Computer Science Department of UALR University of Arkansas at Little Rock, Estados Unidos
2011/02 - 2011/04 Guest Faculty in the School of Computing and Communications in Lancaster University Lancaster University Lancaster Environment Centre, Reino Unido
University of Cumbria - Lancaster Campus, Reino Unido
Projetos

Bolsa

Designação Financiadores
2025/06 - 2028/06 LSD-Trip - Learning with Small Data: Towards Robust and Interpretable Predictions with Efficient Data-Driven Material Modelling in Forming Simulations
COMPETE2030-FEDER-00778700
Bolseiro de Cientista Convidado
Universidade de Aveiro, Portugal
 Fundação para a Ciência e a Tecnologia
Em curso
2024/10/01 - 2027/09/30 ChatToCaseStudy: Case-Based Learning with the Support of an AI Chatbot
2024-1-BG01-KA220-HED-000249361
Co-Investigador Responsável (Co-IR)
Universidade de Aveiro Instituto de Engenharia Eletrónica e Informática de Aveiro, Portugal
Em curso
2021/12 - 2027/05 DIOR - Deep Intelligent Optical and Radio Communication Networks
H2020-MSCA-RISE-2020-101008280 /P-0040-AV-21
Bolseiro de Cientista Convidado
Universidade de Aveiro, Portugal
 EU Framework Programme for Research and Innovation Euratom
Em curso
2023/03 - 2026/02 INTEGRAÇÃO DE RADAR E COMUNICAÇÃO PARA MONITORIZAÇÃO E RECONSTRUÇÃO DO MEIO AMBIENTE
175908PRJ
 Fundação para a Ciência e a Tecnologia
2021/01 - 2025/12 Laboratório Associado de Sistemas Inteligentes
168241UID
 Fundação para a Ciência e a Tecnologia
2022/01 - 2025/02 Digitalização da Aquacultura: da análise preditiva à plataforma fotónica inteligente
168943PRJ
 Fundação para a Ciência e a Tecnologia
2021/05/25 - 2023/06/30 Odyssey Sensing Project (https://odyssey.pt/)
ALG-01-0247-FEDER-070150
ERA Arqueologia SA, Portugal
 Comissão de Coordenação e Desenvolvimento Regional do Algarve
Concluído
2020/07 - 2023/06 SEEBug – Development of a SEnsor for the Rapid and Effective Detection of Pathogenic Bacteria in Bivalves
16-01-03-FMP-00045
Bolseiro de Cientista Convidado
Universidade de Aveiro, Portugal
Concluído
2019/03 - 2021/03 ROTATOR - Awareness of optical network performance
S-0005-AV-20
Bolseiro de Cientista Convidado
Instituto de Telecomunicações, Portugal
Concluído
2019/01 - 2019/12 Instituto de Engenharia Eletrónica e Informática de Aveiro
154842UID
 Fundação para a Ciência e a Tecnologia
2016/01/17 - 2016/06/16 Computational neuro-science and sensor data processing
SFRH/BSAB/113915/2015
 Fundação para a Ciência e a Tecnologia
Concluído
2016/01 - 2016/06 Computational neuro-science and sensor data processing
50327DFA
 Fundação para a Ciência e a Tecnologia
2011/01/22 - 2011/08/21 COMPUTATIONAL INTELLIGENCE METHODS FOR BRAIN ACTIVITY DISCRIMINATION
SFRH/BSAB/1092/2010
Universidade de Aveiro, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
2011/01 - 2011/08 COMPUTATIONAL INTELLIGENCE METHODS FOR BRAIN ACTIVITY DISCRIMINATION
30285DFA
 Fundação para a Ciência e a Tecnologia
2005/05 - 2007/12 HERON - A Framework for Portuguese Articulatory Synthesis Research
Provided by PTCRIS: 57680
 Fundação para a Ciência e a Tecnologia

Projeto

Designação Financiadores
2021/12/01 - 2024/11/30 Next-Generation Optical Wireless Communications Enabled by Artificial Intelligence
PTDC/EEI-TEL/2697/2021
Universidade de Aveiro, Portugal

Instituto de Telecomunicações Coimbra, Portugal

Instituto de Telecomunicações Lisboa, Portugal

Universidade de Aveiro Centro de Estudos do Ambiente e do Mar, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2020/02/01 - 2021/12/31 SENSECOR - Sistema imunosSENSorial integrado para o rastreio rápido e Eficiente do CORonavírus SARS-CoV-2
POCI-01-02B7-FEDER-049256
Investigador
Universidade de Aveiro, Portugal
 Fundação para a Ciência e a Tecnologia
2020 - 2021 FreeComm-B5G : Ultra-high-capacity free-space optical communications for beyond 5G
UID/EEA/50008/2019
Bolseiro de Cientista Convidado
Fundação para a Ciência e a Tecnologia
Em curso
2019/01/01 - 2019/12/31 Institute of Electronics and Informatics Engineering of Aveiro
UID/CEC/00127/2019
Universidade de Aveiro, Portugal

Universidade de Aveiro Instituto de Engenharia Eletrónica e Informática de Aveiro, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2011/01/01 - 2013/12/31 Strategic Project - UI 127 - 2011-2012
PEst-C/EEI/UI0127/2011
Universidade de Aveiro, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
Produções

Publicações

Artigo em conferência
  1. Coutinho, Fábio D. L.; Pereira, Samuel S.; Almeida, Luís F.; Silva, Hugerles S.; Georgieva, Petia; Oliveira, Arnaldo S. R.; P. Georgieva. "Unlocking the Potential of Deep Learning-Based Approaches in Delta Sigma Modulators". Trabalho apresentado em 2025 IEEE International Conference on Consumer Technology-Europe (ICCT-Europe), 2025.
    10.1109/icct-europe63283.2025.11157680
  2. A. C. Campos; P. Georgieva; M. A. Fernandes; P. P. Monteiro; G. M. Fernandes; GUIOMAR, FERNANDO. "Beaconless Self-Alignment Method for Indoor Optical Wireless Communications". Trabalho apresentado em International Conference on Application of Optics and Photonics (AOP), Aveiro, 2024.
  3. Coutinho, Fábio D.L.; Silva, Hugerles S.; Georgieva, Petia; Oliveira, Arnaldo S.R.. "A Novel CNN-based Architecture for Over-the-Air 5G OFDM Channel Estimation". 2024.
    10.1109/ims40175.2024.10600227
  4. Coutinho, Fábio D. L.; Silva, Hugerles S.; Georgieva, Petia; Oliveira, Arnaldo S. R.. "On the Performance Analysis of DL-Based Data Detection Algorithms in M-QAM Satellite Links". 2024.
    10.1109/spi60975.2024.10539207
  5. Filipa Santana; José Brito; Petia Georgieva; P. Georgieva. "Deep Learning for Multi-class Diagnosis of Thyroid Disorders Using Selective Features". Trabalho apresentado em Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2024), 2024.
    10.1007/978-3-031-81542-3_7
  6. António, J.; Georgieva, P.. "Iterative Stacking Regression for Materials Properties Prediction". 2024.
    10.1109/IJCNN60899.2024.10650753
  7. Correia, D.; Pinto, F.C.; Sargento, S.; Georgieva, P.. "Cluster-Based Approach for Cellular Traffic Prediction with Machine Learning Methods". 2024.
    10.1109/MELECON56669.2024.10608627
  8. Coutinho, F.D.L.; Georgieva, P.; Silva, H.S.; Oliveira, A.S.R.. "On the Performance Analysis of DL-based Data Detection Algorithms in M-QAM Satellite Links". 2024.
    10.1109/SPI60975.2024.10539207
  9. Coutinho, F.D.L.; Silva, H.S.; Georgieva, P.; Oliveira, A.S.R.. "A Novel CNN-based Architecture for Over-the-Air 5G OFDM Channel Estimation". 2024.
    10.1109/IMS40175.2024.10600227
  10. Mesquita, B.; Duarte, B.; Silva, F.; Georgieva, P.. "Predictive Analytics for Customer Behavior - Top Up Propensity and Account Balance Predictions in Prepaid Mobile Services". 2024.
    10.1109/MELECON56669.2024.10608654
  11. Barbosa, R.; Georgieva, P.; Sargento, S.; Rito, P.; Araujo, M.; Goes, A.. "Forecasting and Improving Latency in 5G V2X Networks for Autonomous Driving Scenarios". 2024.
    10.1109/MELECON56669.2024.10608556
  12. António, J.; Mihaylova, L.; Georgieva, P.. "Efficient News Synopsis Generation with T5 Transformers". 2024.
    10.1109/IS61756.2024.10705172
  13. Neves, M.S.; Loureiro, P.A.; Slavov, T.; Georgieva, P.. "End-to-End Learning System for Symbol Decoding in Optical Communication". 2024.
    10.1109/IS61756.2024.10705187
  14. Coutinho, F.D.L.; Silva, H.S.; Georgieva, P.; Oliveira, A.S.R.. "CNN Architecture Design Impact in DL-Based Channel Estimation Algorithms". 2023.
    10.1109/WCNPS60622.2023.10345278
  15. Lourenço, R.; Cueto, E.; Georgieva, P.; Andrade-Campos, A.. "On the constraints and consistency in implicit constitutive modelling using ANNs and indirect training". 2023.
    10.21741/9781644902479-125
  16. Costa, B.; Georgieva, P.. "Explainable Artificial Intelligence in Healthcare Applications: A Systematic Review". 2023.
    10.1109/COMSCI59259.2023.10315829
  17. Canedo, Daniel; Neves, Antonio; Georgieva, Petia. Autor correspondente: Canedo, Daniel. "An Analysis of Data-Centric Artificial Intelligence in Computer Vision Applications". Trabalho apresentado em RECPAD 2023, 2023.
  18. Coutinho, FDL; Silva, HS; Georgieva, P; Oliveira, A. "CNN-based Algorithm for Joint Channel and Phase Noise Estimation in OFDM Relay Systems". 2022.
    10.1109/latincom56090.2022.10000719
  19. Santos, X.; Georgieva, P.; Girão, P.; Drummond, M.. "Data Augmentation in 3D Object Detection for self-driving vehicles: The role of original and augmented training samples". 2022.
    10.1088/1742-6596/2407/1/012044
  20. Coutinho, F.D.L.; Silva, H.S.; Georgieva, P.; Oliveira, A.S.R.. "A Flexible CNN Architecture for Real-Time FPGA Implementation". 2022.
    10.1109/ICMLANT56191.2022.9996537
  21. Botelho, Fabrício; Canedo, Daniel; Georgieva, Petia; Neves, Antonio; Fonte, João; Dias, Rita; Pereiro, Tiago; et al. Autor correspondente: Botelho, Fabrício. "Detecting Archaeological Sites From Airborne LiDAR Data With YOLOv5". Trabalho apresentado em RECPAD 2022, 2022.
  22. Pousa, R; Georgieva, P; Pina, J; Cruz, P; Andre, P. "Machine Learning Approach for Online Monitoring of Quality of Transmission Performance Indicators in Optical Fiber Networks". 2021.
    10.1109/ecoc52684.2021.9606148
  23. Santos, F.; Silva, F.; Georgieva, P.. "Transfer learning for skin lesion classification using convolutional neural networks". 2021.
    10.1109/INISTA52262.2021.9548455
  24. Santos, F.; Silva, F.; Georgieva, P.. "Out of training distribution detection for multi-class skin lesion diagnosis". 2021.
    10.1109/INISTA52262.2021.9548595
  25. Koprinkova-Hristova, Petia; Nedelcheva, Simona; Bocheva, Nadejda; Kraleva, Radolsava; Kralev, Velin; Stefanova, Miroslava; Genova, Bilyana. "STDP Training of Hierarchical Spike Timing Model of Visual Information Processing". 2020.
    10.1109/IJCNN48605.2020.9207598
  26. Heaning, K.; Sohail, S.; Kerbel, W.; Trafford, R.; Bouaynaya, N.; Polikar, R.; Georgieva, P.. "Tilt and Rotation Motion Control System for Solar Panel". 2020.
    10.1109/ICAI50593.2020.9311299
  27. Santos, F.; Silva, F.; Georgieva, P.. "Automated Diagnosis of Skin Lesions". 2020.
    10.1109/IS48319.2020.9200090
  28. Georgieva, P.; Zhang, P.. "Optical Character Recognition for Autonomous Stores". 2020.
    10.1109/IS48319.2020.9200182
  29. Brandao, A.; Georgieva, P.. "Log Files Analysis for Network Intrusion Detection". 2020.
    10.1109/IS48319.2020.9199976
  30. Hernandez, D.; Pereira, R.; Georgevia, P.. "COVID-19 detection through X-Ray chest images". 2020.
    10.1109/ICAI50593.2020.9311372
  31. Georgieva, P.. "Deep learning in brain computer interfaces". 2019.
    10.1145/3351556.3351594
  32. Jesus, R.; Antunes, M.; Georgieva, P.; Gomes, D.; Aguiar, R.L.. "Stream generation: Markov chains vs GANs". 2019.
    10.5220/0007766501770184
  33. Bozhkov, L.; Georgieva, P.. "Overview of Deep Learning Architectures for EEG-based Brain Imaging". 2018.
    10.1109/IJCNN.2018.8489561
  34. Carneiro, D.; Silva, F.; Georgieva, P.. "The role of early anticipations for human-robot ball catching". 2018.
    10.1109/ICARSC.2018.8374153
  35. Pires, M.; Georgieva, P.. "An Intelligent Tool for Detection of Phishing Messages". Trabalho apresentado em 10th Int Conf on Soft Computing and Pattern Recognition (SoCPaR 2018), 2018.
    10.1007/978-3-030-17065-3_12
  36. Nikolova, D.; Georgieva, P.; Petkova, P.; Manolova, A.. "ECG-based emotion recognition: Overview of methods and applications". 2018.
  37. Mollova, S.; Zhekov, M.; Kostadinov, A.; Georgieva, P.. "Laboratory model for research on computer cluster systems". 2018.
    10.23919/MIPRO.2018.8400250
  38. Dinkova, P.; Georgieva, P.; Manolova, A.; Milanova, M.; Milanova, Mariofanna; Manolova, Agata; Dinkova, Petya; Georgieva, Petia. "Face recognition based on subject dependent Hidden Markov Models". 2017.
    10.1109/BlackSeaCom.2016.7901570
  39. Georgieva, K.; Georgieva, O.; Georgieva, P.; Ribeiro, M.J.; Paiva, J.S.. "Regression approach for automatic detection of attention lapses". 2016.
    10.1109/IS.2016.7737447
  40. Mladenov, V.M.; Georgieva, P.; Spasov, G.; Petrova, G.. "Preface". 2015.
  41. Stoyanova, J.; Brito, P.Q.; Georgieva, P.; Milanova, M.. "Comparison of consumer purchase intention between interactive and augmented reality shopping platforms through statistical analyses". 2015.
    10.1109/inista.2015.7276727
  42. Koprinkova-Hristova, P.; Bozhkov, L.; Georgieva, P.. "Echo state networks for feature selection in affective computing". 2015.
    10.1007/978-3-319-18944-4_11
  43. Duarte, D.P.; Prats, S.; Keizer, J.J.; Georgieva, P.; Nogueira, R.; Bilro, L.. "Novel approach for simultaneous sediment classification and concentration determination of water turbidity". 2015.
    10.1117/12.2194578
  44. Ebinger, B.; Bouaynaya, N.; Georgieva, P.; Mihaylova, L.; Ebinger, B; Bouaynaya, N; Georgieva, P; et al. "EEG dynamic source localization using Marginalized Particle Filtering". 2015.
    10.1109/bibm.2015.7359727
  45. Fonseca, IA; Gaspar, HM. "An Object-Oriented Approach For Virtual Prototyping In Conceptual Ship Design". 2015.
    10.7148/2015-0171
  46. Rutle, A; Wang, H; Bye, RT; Osen, OL. "Scalable And User-Friendly Simulation". 2015.
    10.7148/2015-0164
  47. Ren, S; McKenzie, FD. "Collaborative Virtual Environment For Engineering Laboratory". 2015.
    10.7148/2015-0157
  48. Bye, RT; Osen, OL; Pedersen, BS. "A Computer-Automated Design Tool For Intelligent Virtual Prototyping Of Offshore Cranes". 2015.
    10.7148/2015-0147
  49. Levis, AH. "Multi-Formalism Modeling Of Human Organizations". 2015.
    10.7148/2015-0019
  50. Zimmermann, H. "Causality Versus Predictability In Neural Network Modeling". 2015.
    10.7148/2015-0005
  51. Gribaudo, M; Iacono, M; Manini, D; Pironti, M; Pisano, P. "A Simulation Based Approach For The Evaluation Of Outcome Driven Innovation Models". 2015.
    10.7148/2015-0138
  52. Havran, D; Varadi, K. "Resiliency On Order-Driven Markets". 2015.
    10.7148/2015-0132
  53. Kulakowski, K; Malarz, K; Krawczyk, MJ. "Heavy Context Dependence — Decisions Of Underground Soldiers". 2015.
    10.7148/2015-0125
  54. Shvets, E. "Stochastic Multi-Agent Patrolling Using Social Potential Fields". 2015.
    10.7148/2015-0042
  55. Adamek, M; Neumann, P; Pospisilik, M. "The Gas Tiny Flow Measurement Instrumentation". 2015.
    10.7148/2015-0292
  56. Pekar, L. "A Simple DDS Algorithm For TDS: An Example". 2015.
    10.7148/2015-0246
  57. Szmajduch, M; Kolodziej, J. "Data-Aware Scheduling In Massive Heterogeneous Systems". 2015.
    10.7148/2015-0601
  58. Szominski, S; Plichta, A. "Mobile Robot Navigation Algorithms Based On Stereovision". 2015.
    10.7148/2015-0581
  59. Herrmann, F. "Perturbation In Local Search For Scheduling". 2015.
    10.7148/2015-0446
  60. Mladenov, VM; Kirilov, SM. "Memristor Modeling In MATLAB & PSPICE". 2015.
    10.7148/2015-0432
  61. Grabis, J; Chandra, C. "Design And Simulation Of Process Improvement Scenarios". 2015.
    10.7148/2015-0359
  62. Bozhkov, L.; Georgieva, P.. "Brain neural data analysis with feature space defined by descriptive statistics". 2015.
    10.1007/978-3-319-19390-8_47
  63. Lachezar Bozhkov; Petia Georgieva; Bozhkov, L.; Georgieva, P.. "Classification Models of Emotional Biosignals Evoked While Viewing Affective Pictures". 2014.
    10.5220/0005104206010606
  64. Georgieva, P.; Silva, F.; Bouaynaya, N.; Mihaylova, L.. "Bayesian tracking and multi-core beamforming for estimation of correlated brain sources". 2014.
    10.1049/cp.2014.0522
  65. Georgieva, P.; Silva, F.; Mihaylova, L.; Bouaynaya, N.. "Statistical approach for reconstruction of dynamic brain dipoles based on EEG data". 2014.
    10.1109/IJCNN.2014.6889663
  66. Suarez, L.A.P.; Georgieva, P.; De Azevedo, S.F.. "Error tolerant MPC versus PI control - A crystallization case study". 2014.
  67. Bozhkov, L.; Georgieva, P.; Trifonov, R.. "Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods". 2014.
    10.1007/978-3-319-11071-4_12
  68. Georgieva, O.; Milanov, S.; Georgieva, P.. "Cluster analysis for EEG biosignal discrimination". 2013.
    10.1109/INISTA.2013.6577646
  69. Georgieva, P.; De La Torre, F.. "Robust principal component analysis for brain imaging". 2013.
    10.1007/978-3-642-40728-4_36
  70. Georgieva, P.; Bouaynaya, N.; Mihaylova, L.; Silva, F.. "Bayesian approach for reconstruction of moving brain dipoles". 2013.
    10.1007/978-3-642-39094-4_64
  71. Georgieva, P.; Nuntal, N.; De La Torre, F.. "Robust principal component analysis for improving cognitive brain states discrimination from fMRI". 2013.
    10.1007/978-3-642-38628-2_19
  72. Georgieva, P.; Silva, F.; Figueiredo, N.. "Brain machine interface IEETA case study". 2012.
    10.1109/IS.2012.6335164
  73. Georgieva, P.; Mihaylova, L.; Bouaynaya, N.; Jain, L.. "Particle filters and beamforming for EEG source estimation". 2012.
    10.1109/IJCNN.2012.6252516
  74. Georgieva, P.; Feyo De Azevedo, S.. "Neural networks for model predictive control". 2011.
    10.1109/IJCNN.2011.6033208
  75. Simeonov, S.; Georgieva, P.; Germanov, V.; Dimitrov, A.; Karastoyanov, D.. "Computer system for navigating a mobile robot". 2011.
    10.1109/ISCI.2011.5958907
  76. Ferreira, A.; Almeida, C.; Georgieva, P.; Tomé, A.. "Person identification using VEP signals and SVM classifiers". 2010.
    10.1109/IJCNN.2010.5596616
  77. Ferreira, A.; Almeida, C.; Georgieva, P.; Tomé, A.; Silva, F.. "Advances in EEG-based biometry". 2010.
    10.1007/978-3-642-13775-4_29
  78. Suárez, L.A.P.; Georgieva, P.; De Azevedo, S.F.. "Intelligent predictive control - Application to scheduled crystallization processes". 2009.
    10.1109/icais.2009.34
  79. Suárez, L.A.P.; Georgieva, P.; De Azevedo, S.F.; Paz Suarez, LA; Georgieva, P; de Azevedo, SF. "Computationally efficient process control with neural networkbased predictive models". 2009.
    10.1109/IJCNN.2009.5178663
  80. Georgieva, P.; De Azevedo, S.F.. "Neural network - Based estimation of reaction rates with partly unknown states and completely known kinetics coefficients". 2008.
    10.1109/is.2008.4670443
  81. Stadlthanner, K.; Lutter, D.; Theis, F.J.; Lang, E.W.; Tomé, A.M.; Georgieva, P.; Puntonet, C.G.. "Sparse nonnegative matrix factorization with genetic algorithms for microarray analysis". 2007.
    10.1109/IJCNN.2007.4370971
  82. Georgieva, P.; Oliveira, C.; Rocha, F.; Feyo De Azevedo, S.. "Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients". 2007.
    10.1109/ijcnn.2007.4371185
  83. Georgieva, P; de Azevedo, SF. "Application of Feed Forward Neural Networks in Modeling and Control of a Fed-Batch Crystallization Process". 2006.
  84. Galvanauskas, V.; Georgieva, P.; Feyo De Azevedo, S.. "Dynamic optimisation of industrial sugar crystallization process based on a hybrid (mechanistic+ANN) model". 2006.
  85. Simoglou, A.; Georgieva, P.; Martin, E.B.; Morris, A.J.; De Azevedo, S.F.. "A time varying state space approach for sugar crystallization process modelling and monitoring". 2005.
  86. Oliveira, C.; Georgieva, P.; Rocha, F.; Ferreira, A.; De Azevedo, S.F.. "Modelling of dicalcium phosphate dihydrate precipitation from solution". 2005.
    10.1016/s0263-8762(07)73209-4
  87. Baruch, I.S.; Georgieva, P.; Hernandes P., L.A.; Nenkova, B.. "An adaptive integral plus states neural control of aerobic continuous stirred tank reactor". 2004.
  88. P. Georgieva; M. J. Gonçalves; Azevedo, Sebastião Feyo de. "Knowledge-based Hybrid Model of a Batch Evaporative Crystallization Process.". Trabalho apresentado em ISIC 15 - 15th Int. Symp. On Industrial Crystallisation, Vol I, p.1161-1166,15-18, Sorrento, 2002.
  89. Roumenin, C.; Georgieva, P.; Ivanov, A.. "Anomalous angle dependence of the output signal of bipolar magnetic sensors". 1998.
    10.1109/ASDAM.1998.730227
Artigo em revista
  1. Fábio D. L. Coutinho; Luís Filipe Almeida; Hugerles S. Silva; Petia Georgieva; Arnaldo S. R. Oliveira. "Transfer Learning-Based Channel Estimation Supported by FPGA Dynamic Reconfiguration". IEEE Wireless Communications Letters (2026): https://doi.org/10.1109/LWC.2025.3617787.
    10.1109/LWC.2025.3617787
  2. Teodor Stoichev; Cristina Marisa R. Almeida; Tsonyo Slavov; Petia Georgieva. "Prediction of Daily River Discharge to Estuaries Based on Meteorological Data". Water (2025): https://doi.org/10.3390/w17172499.
    10.3390/w17172499
  3. Martins, D.; Vieira, N.; Slavov, T.; Georgieva, Petia. Autor correspondente: Vieira, N.. "Bessel-type Activation Functions in Neural Networks". Procedia Computer Science 264 (2025): 115-124. https://www.sciencedirect.com/science/article/pii/S1877050925021738?via%3Dihub.
    Publicado • 10.1016/j.procs.2025.07.123
  4. Nelson Vieira; Felipe Freitas; Roberto Figueiredo; Petia Georgieva. "Hypergeometric Functions as Activation Functions: The Particular Case of Bessel-Type Functions". Mathematics (2025): https://doi.org/10.3390/math13142232.
    10.3390/math13142232
  5. Rúben Lourenço; Aiman Tariq; Petia Georgieva; A. Andrade-Campos; Babür Deliktas. "On the use of physics-based constraints and validation KPI for data-driven elastoplastic constitutive modelling". Computer Methods in Applied Mechanics and Engineering (2025): https://doi.org/10.1016/j.cma.2025.117743.
    10.1016/j.cma.2025.117743
  6. António Andrade-Campos; Rúben Lourenço; Petia Georgieva; A. Andrade-Campos; P. Georgieva. "Data-driven elastoplastic constitutive modelling with physics-informed RNNs using the Virtual Fields Method for indirect training". Computer Methods in Applied Mechanics and Engineering (2025): https://doi.org/10.1016/j.cma.2025.117935.
    10.5281/zenodo.15126449
  7. Fábio D. L. Coutinho; Samuel S. Pereira; Hugerles S. Silva; Petia Georgieva; Arnaldo S. R. Oliveira. "A Quantization-Aware DL-Based Channel Estimation Algorithm for OFDM Systems". IEEE Access (2025): https://doi.org/10.1109/ACCESS.2025.3604259.
    10.1109/ACCESS.2025.3604259
  8. Vieira, Nelson; Freitas, Felipe; Figueiredo, Roberto; Georgieva, Petia. "Hypergeometric functions as activation functions: the particular case of the Bessel-type functions". (2025): http://hdl.handle.net/10773/46135.
    10.3390/math13142232
  9. Daniel Canedo; João Hipólito; João Fonte; Rita Dias; Tiago do Pereiro; Petia Georgieva; Luís Gonçalves-Seco; et al. "The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation". Remote Sensing (2024): https://doi.org/10.3390/rs16111933.
    10.3390/rs16111933
  10. Rúben Lourenço; Petia Georgieva; Elias Cueto; A. Andrade-Campos; Lourenço, Rúben; Georgieva, Pétia; Cueto, Elias; Andrade-Campos, A.. "An indirect training approach for implicit constitutive modelling using recurrent neural networks and the virtual fields method". Computer Methods in Applied Mechanics and Engineering (2024): https://doi.org/10.1016/j.cma.2024.116961.
    10.1016/j.cma.2024.116961
  11. Maria Rute Ferreira André; Sandra Correia; Lianshe Fu; Petia Georgieva; Mário Antunes; PS André. "A comprehensive dataset of photonic features on spectral converters for energy harvesting". Scientific data 11 1 (2024): 1-13. http://www.it.pt/Publications/PaperJournal/34032.
    10.1038/s41597-023-02827-3
  12. Fábio D. L. Coutinho; Hugerles S. Silva; Petia Georgieva; Arnaldo S. R. Oliveira. "A Novel CNN-Based Channel Estimation Algorithm in the Presence of Phase Noise and CFO". IEEE Wireless Communications Letters (2024): https://doi.org/10.1109/LWC.2023.3325129.
    10.1109/LWC.2023.3325129
  13. Leandro Alexandrino; Hadi Z. Olyaei; André Albuquerque; Petia Georgieva; Miguel V. Drummond. "3D Object Detection for Self-Driving Vehicles Enhanced by Object Velocity". IEEE Access (2024): https://doi.org/10.1109/ACCESS.2024.3353051.
    10.1109/ACCESS.2024.3353051
  14. Ferreira, R.A.S.; Correia, S.F.H.; Fu, L.; Georgieva, P.; Antunes, M.; André, P.S.; PS André; et al. "Predicting the efficiency of luminescent solar concentrators for solar energy harvesting using machine learning". Scientific Reports 14 1 (2024): 4160-4160. http://www.scopus.com/inward/record.url?eid=2-s2.0-85185507489&partnerID=MN8TOARS.
    10.1038/s41598-024-54657-x
  15. André C. Campos; Petia Georgieva; Marco A. Fernandes; Paulo P. Monteiro; Gil M. Fernandes; Fernando P. Guiomar. "Optical Beam Steering in FSO Systems Supported by Computer Vision". IEEE Access (2024): https://doi.org/10.1109/ACCESS.2024.3405196.
    10.1109/ACCESS.2024.3405196
  16. Canedo, Daniel; Fonte, João; Dias, Rita; Pereiro, Tiago do; Gonçalves-Seco, Luís; Vázquez, Marta; Georgieva, Petia; Neves, António J. R.; Petia Georgieva. "Automated detection of hillforts in remote sensing imagery with deep multimodal segmentation". Archaeological Prospection 1 1 (2024): 1-15. http://hdl.handle.net/10400.1/26128.
    10.1002/arp.1958
  17. Canedo, Daniel; Hipólito, João; Fonte, João; Dias, Rita; Pereiro, Tiago do; Georgieva, Petia; Gonçalves-Seco, Luís; et al. "The Synergy between artificial intelligence, remote sensing, and archaeological fieldwork validation". (2024): http://hdl.handle.net/10400.1/25637.
    10.3390/rs16111933
  18. Rodrigo Almeida; Petia Georgieva; Nelson Martins. "Heating setpoint recommendation strategy for thermal comfort and energy consumption optimization". Energy and Buildings (2023): https://doi.org/10.1016/j.enbuild.2023.113406.
    10.1016/j.enbuild.2023.113406
  19. Canedo, Daniel; Fonte, João; Seco, Luis Gonçalves; Vázquez, Marta; Dias, Rita; Pereiro, Tiago Do; Hipólito, João; et al. "Uncovering Archaeological Sites in Airborne LiDAR Data With Data-Centric Artificial Intelligence". IEEE Access 11 (2023): 65608-65619. http://dx.doi.org/10.1109/access.2023.3290305.
    Publicado • 10.1109/access.2023.3290305
  20. Coutinho, Fabio D. L.; Silva, Hugerles S.; Georgieva, Petia; Oliveira, Arnaldo S. R.. "Quantization Effects in a CNN-based Channel Estimator". IEEE RADIO AND WIRELESS SYMPOSIUM, VOLS 1 AND 2 (2023): https://publons.com/wos-op/publon/60801887/.
    10.1109/RWS55624.2023.10046330
  21. Georgieva, Petia. "Editorial for special section ' IbPRIA22'". Pattern Recognition Letters (2023): https://publons.com/wos-op/publon/67054206/.
    10.1016/J.PATREC.2023.02.020
  22. Canedo, Daniel; Fonte, João; Seco, Luis Gonçalves; Vázquez, Marta; Dias, Rita; Pereiro, Tiago do; Hipólito, João; et al. "Uncovering archaeological sites in airborne LiDAR data with data-centric artificial intelligence". (2023): http://hdl.handle.net/10400.1/19891.
    10.1109/ACCESS.2023.3290305
  23. Canedo, Daniel; Fonte, João; Seco, Luis Gonçalves; Vázquez, Marta; Dias, Rita; Pereiro, Tiago Do; Hipólito, João; et al. "Uncovering archaeological sites in airborne LiDAR data with data-centric artificial intelligence". (2023): http://hdl.handle.net/10773/41038.
    10.1109/ACCESS.2023.3290305
  24. Lourenço, Rúben; Andrade-Campos, António; Georgieva, Pétia. "The Virtual Fields Method to Indirectly Train Artificial Neural Networks for Implicit Constitutive Modelling". Key Engineering Materials 926 (2022): 2060-2068. http://dx.doi.org/10.4028/p-gy2di7.
    Publicado • 10.4028/p-gy2di7
  25. Fábio D.L. Coutinho; Hugerles S. Silva; Petia Georgieva; Arnaldo S.R. Oliveira. "5G cascaded channel estimation using convolutional neural networks". Digital Signal Processing 126 (2022): 103483-103483. https://doi.org/10.1016/j.dsp.2022.103483.
    10.1016/j.dsp.2022.103483
  26. Rúben Lourenço; Andrade-Campos, António; Georgieva, Pétia. "The use of machine-learning techniques in material constitutive modelling for metal forming processes". MDPI Metals 12 3 (2022): https://www.mdpi.com/2075-4701/12/3/427.
    Publicado • 10.3390/met12030427
  27. Koprinkova-Hristova, Petia; Ivanovic, Mirjana; Diri, Banu. "Special issue: Innovations in Intelligent Systems and Applications". Journal of Information and Telecommunication (2022): https://publons.com/wos-op/publon/53155339/.
    10.1080/24751839.2021.1989242
  28. Diogo Carneiro; Filipe Silva; Petia Georgieva. "Robot Anticipation Learning System for Ball Catching". Robotics 10 4 (2021): 113-113. https://doi.org/10.3390/robotics10040113.
    10.3390/robotics10040113
  29. Fernandes, Marco A.; Brandão, Bruno T.; Georgieva, Petia; Monteiro, Paulo P.; Guiomar, Fernando P.; Marco A. Fernandes; Bruno T. Brandão; et al. "Adaptive optical beam alignment and link protection switching for 5G-over-FSO". Optics Express 29 13 (2021): 20136. http://dx.doi.org/10.1364/oe.426551.
    Publicado • 10.1364/oe.426551
  30. Lopes, Bruna D. M.; Silva, Luis C. B.; Blanquet, Isidro M.; Georgieva, Petia; Marques, Carlos A. F.. "Prediction of fish mortality based on a probabilistic anomaly detection approach for recirculating aquaculture system facilities". Review of Scientific Instruments (2021): https://publons.com/wos-op/publon/43952927/.
    10.1063/5.0045047
  31. Canedo, Daniel; Fonseca, Pedro; Georgieva, Petia; Neves, António J. R.; Daniel Canedo; Pedro Fonseca; Petia Georgieva; António J. R. Neves. "A deep learning-based dirt detection computer vision system for floor-cleaning robots with improved data collection". Technologies (2021): http://hdl.handle.net/10773/33050.
    10.3390/technologies9040094
  32. Canedo, Daniel; Fonseca, Pedro; Georgieva, Petia; Neves, António J. R.. "A deep learning-based dirt detection computer vision system for floor-cleaning robots with improved data collection". (2021): http://hdl.handle.net/10773/33050.
    10.3390/technologies9040094
  33. Martins, Maria João; Brito, Francisco da Costa; Rebelo, Pedro; Bastos, José Mesquita; Georgieva, Pétia; Leitão, Cátia. "Processing and Extraction of Arterial Pulse Waves - comparison between manual and clustering based selections". (2021): https://doi.org/10.34624/jshd.v3i1.24997.
    https://doi.org/10.34624/jshd.v3i1.24997
  34. Santos, Fábio Miguel Tomaz dos. "Deep learning for multi-class skin lesion diagnosis". (2020): http://hdl.handle.net/10773/29604.
  35. DeCicco, Nicholas; Napolitano, Kristine; Trafford, Russell; Georgieva, Petia; Bouaynaya, Nidhal; Polikar, Robi. "Trajectory design of an Aircraft for Circular Motion". 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA) (2020): https://publons.com/wos-op/publon/41194717/.
    10.1109/ICCA51439.2020.9264537
  36. Koprinkova-Hristova, Petia; Stefanova, Miroslava; Genova, Bilyana; Bocheva, Nadejda; Kraleva, Radoslava; Kralev, Velin. "Features extraction from human eye movements via echo state network". Neural Computing and Applications (2020): https://publons.com/wos-op/publon/21145769/.
    10.1007/S00521-019-04329-Z
  37. Lachezar Bozhkov; Petia Georgieva. "Deep learning models for brain machine interfaces". Annals of Mathematics and Artificial Intelligence (2019): https://doi.org/10.1007/s10472-019-09668-0.
    10.1007/s10472-019-09668-0
  38. Mihaylova, Petya; Manolova, Agata; Georgieva, Petia. "Data Analytics for Home Air Quality Monitoring". Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (2019): https://publons.com/wos-op/publon/39409794/.
    10.1007/978-3-030-23976-3_8
  39. Vitor Pereira; Filipe Tavares; Petya Mihaylova; Valeri Mladenov; Petia Georgieva. "Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions". Complexity (2018): https://doi.org/10.1155/2018/6740846.
    10.1155/2018/6740846
  40. A. C. Maurício; T. Pereira; P. Teixeira; R. Magalhães; J. D. Santos; P. P. Barbosa; M. V. Branquinho; et al. "Human umbilical cord blood plasma as an alternative to animal sera for mesenchymal stromal cells in vitro expansion - A multicomponent metabolomic analysis". Plos One (2018): https://publons.com/publon/15924906/.
    10.1371/JOURNAL.PONE.0203936
  41. Georgieva, P.; Schaal, W.; Spjuth, O.. "Exploring the usefulness of morphological profiling of cells to study toxicity mechanisms". Toxicology Letters (2018): https://publons.com/wos-op/publon/27819206/.
    10.1016/J.TOXLET.2018.06.895
  42. Bozhkov, L.; Koprinkova-Hristova, P.; Georgieva, P.. "Reservoir computing for emotion valence discrimination from EEG signals". Neurocomputing 231 (2017): 28-40. http://www.scopus.com/inward/record.url?eid=2-s2.0-85006062107&partnerID=MN8TOARS.
    10.1016/j.neucom.2016.03.108
  43. Jurjut, O.; Georgieva, P.; Busse, L.; Katzner, S.. "Learning enhances sensory processing in mouse V1 before improving behavior". Journal of Neuroscience 37 27 (2017): 6460-6474. http://www.scopus.com/inward/record.url?eid=2-s2.0-85022003662&partnerID=MN8TOARS.
    10.1523/JNEUROSCI.3485-16.2017
  44. Bozhkov, L.; Koprinkova-Hristova, P.; Georgieva, P.. "Learning to decode human emotions with Echo State Networks". Neural Networks 78 (2016): 112-119. http://www.scopus.com/inward/record.url?eid=2-s2.0-84966400967&partnerID=MN8TOARS.
    10.1016/j.neunet.2015.07.005
  45. Georgieva, P.; Bouaynaya, N.; Silva, F.; Mihaylova, L.; Jain, L.C.. "A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources". IEEE Journal of Biomedical and Health Informatics 20 3 (2016): 880-892. http://www.scopus.com/inward/record.url?eid=2-s2.0-84969913442&partnerID=MN8TOARS.
    10.1109/jbhi.2015.2413752
  46. Degen, J.; Kirbach, A.; Reiter, L.; Lehmann, K.; Norton, P.; Storms, M.; Koblofsky, M.; et al. "Honeybees Learn Landscape Features during Exploratory Orientation Flights". Current Biology 26 20 (2016): 2800-2804. http://www.scopus.com/inward/record.url?eid=2-s2.0-84994691336&partnerID=MN8TOARS.
    10.1016/j.cub.2016.08.013
  47. Roumiana Ilieva; Petia Georgieva; Stanislava Petrova. "BRAIN DATA ANALYSIS AND MANAGEMENT". GISAP:MSP 7 (2015): http://dx.doi.org/10.18007/gisap:msp.v0i7.1071.
    10.18007/gisap:msp.v0i7.1071
  48. Georgieva, Petia; Bozhkov, L.; Georgieva, P.; Santos, I.; Pereira, A.; Silva, C.; P. Georgieva. "EEG-based subject independent affective computing models". Procedia Computer Science 53 (2015): 375-382.
    Publicado • 10.17632/JVB9NSBWT9.2
  49. Georgieva, O.; Milanov, S.; Georgieva, P.; Santos, I.M.; Pereira, A.T.; Silva, C.F.. "Learning to decode human emotions from event-related potentials". Neural Computing and Applications 26 3 (2015): 573-580. http://www.scopus.com/inward/record.url?eid=2-s2.0-84925289990&partnerID=MN8TOARS.
    10.1007/s00521-014-1653-6
  50. Neves, José; Machado, José; Gomes, Guida; Sousa, Sérgio; Tereso, Daniela; Coelho, Ana; Caldeira, A. Teresa; et al. "An Evaluation of Parchments’ Degradation - A Hybrid Approach". Parchment stands for a multifaceted material made from animal skin, which has been used for centuries as a writing support or as bookbinding. Due to the historic value of objects made of parchment, understanding their degradation and their condition is of utmost importance to archives, libraries and museums, i.e., the assessment of parchment degradation is mandatory, although it is hard to do with (2015): http://www.scs-europe.net/dlib/2015/2015-0492.htm.
  51. Degen, J.; Kirbach, A.; Reiter, L.; Lehmann, K.; Norton, P.; Storms, M.; Koblofsky, M.; et al. "Exploratory behaviour of honeybees during orientation flights". Animal Behaviour 102 (2015): 45-57. http://www.scopus.com/inward/record.url?eid=2-s2.0-84922295530&partnerID=MN8TOARS.
    10.1016/j.anbehav.2014.12.030
  52. Georgieva, O.; Milanov, S.; Georgieva, P.. "Unsupervised EEG biosignal discrimination". International Journal of Reasoning-based Intelligent Systems 6 3-4 (2014): 118-125. http://www.scopus.com/inward/record.url?eid=2-s2.0-84918536579&partnerID=MN8TOARS.
    10.1504/ijris.2014.066249
  53. Georgieva, P.; Brugger, D.; Schwarz, C.. "Are spatial frequency cues used for whisker-based active discrimination?". Frontiers in Behavioral Neuroscience 8 November (2014): http://www.scopus.com/inward/record.url?eid=2-s2.0-84908665385&partnerID=MN8TOARS.
    10.3389/fnbeh.2014.00379
  54. Petia Georgieva; Filipe Silva; Nuno Figueiredo. "IEETA brain computer interface technologies". International Journal of Computational Intelligence Studies 2 3/4 (2013): 314-314. http://dx.doi.org/10.1504/ijcistudies.2013.057645.
    10.1504/ijcistudies.2013.057645
  55. Alexiev, Kiril; Koprinkova-Hristova, Petia. "Echo State Networks in Dynamic Data Clustering". Lecture Notes in Computer Science (2013): https://publons.com/publon/3487082/.
    10.1007/978-3-642-40728-4_43
  56. Georgi Jelev; Valentin Atanassov; Denitsa Borisova; Kiril Alexiev; Petia Koprinkova-Hristova. "Recurrent neural networks for automatic clustering of multispectral satellite images". Image and Signal Processing for Remote Sensing Xix (2013): https://publons.com/publon/3487086/.
    10.1117/12.2029191
  57. Nikolova, K.; Perifanova-Nemska, M.; Georgieva, P.; Boyadjiev, D.. "Identification of vegetable oil adulterants in sunflower oil through discriminant analysis of colorimetric parameters". Bulgarian Journal of Agricultural Science 19 3 (2013): 508-512. http://www.scopus.com/inward/record.url?eid=2-s2.0-84893816605&partnerID=MN8TOARS.
  58. Capela, Nelson Filipe; Georgieva, Petia. "Aplicação de técnicas de aprendizagem automática para classificação de emoções humanas com sinais de EEG". Este artigo apresenta um estudo referente a várias técnicas de Aprendizagem Automática (MachineLearning) e a sua aplicação para discriminar dois tipos de emoções humanas - valência emocional positiva e negativa, baseado em dados de eletroencefalografia (EEG).Numa primeira fase foi efetuada uma abordagemintrodutória das técnicas m (2012): https://proa.ua.pt/index.php/revdeti/article/view/16650.
  59. Capela, Nelson Filipe; Georgieva, Petia. "Aplicação de técnicas de aprendizagem automática para classificação de emoções humanas com sinais de EEG". (2012): https://proa.ua.pt/index.php/revdeti/article/view/16650.
  60. Paz Suárez, L.A.; Georgieva, P.; Feyo de Azevedo, S.. "Nonlinear MPC for fed-batch multiple stages sugar crystallization". Chemical Engineering Research and Design 89 6 (2011): 753-767. http://www.scopus.com/inward/record.url?eid=2-s2.0-79956293971&partnerID=MN8TOARS.
    10.1016/j.cherd.2010.10.010
  61. Tomé, A.M.; Teixeira, A.R.; Figueiredo, N.; Georgieva, P.; Santos, I.M.; Lang, E.. "Clustering evoked potential signals using subspace methods.". Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference (2010): 3986-3989. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903875543&partnerID=MN8TOARS.
    10.1109/iembs.2010.5627971
  62. Tome, AM; Teixeira, AR; Figueiredo, N; Santos, IM; Georgieva, P; Lang, EW. "SSA of biomedical signals: A linear invariant systems approach". STATISTICS AND ITS INTERFACE (2010): https://www.authenticus.pt/P-003-CZ0.
  63. Oliveira, C.; Georgieva, P.; Rocha, F.; Feyo De Azevedo, S.. "Artificial neural networks for modeling in reaction process systems". Neural Computing and Applications 18 1 (2009): 15-24. http://www.scopus.com/inward/record.url?eid=2-s2.0-58549113550&partnerID=MN8TOARS.
    10.1007/s00521-008-0200-8
  64. Dediós, Luis Sánchez; Georgieva, Petia; Azevedo, Sebastião Feyo de; Sánchez Dediós, Luis; Feyo de Azevedo, Sebastião. "SISO versus MIMO model based predictive control structures: a fed-batch crystallizer case study". This work is focused on a comparative study of four structures of linear model predictive control (LMPC) for a fed batch crystallization process. Two single input single output (SISO) and two multiple input multiple output (MIMO) control schemes are analysed with respect to the final process quality achieved. The linear models required in the controller structures are extracted applying two identi (2008): https://proa.ua.pt/index.php/revdeti/article/view/16989.
  65. Oliveira, C.; Georgieva, P.; Rocha, F.; Ferreira, A.; Feyo de Azevedo, S.. "Dynamical model of brushite precipitation". Journal of Crystal Growth 305 1 (2007): 201-210. http://www.scopus.com/inward/record.url?eid=2-s2.0-34249875384&partnerID=MN8TOARS.
    10.1016/j.jcrysgro.2007.04.016
  66. Georgieva, Petia; Azevedo, Sebastião Feyo de. "Application of artificial neural networks in modeling and optimization of batch crystallization processes". This paper is focused on issues of dynamic process modeling and model-based optimization of batch and fed-batch industrial crystallization processes applying the concept of artificial neural networks as computational tools. The objective is to drive the process to its optimal state of profit maximization and cost minimization. The simulation results demonstrate that t (2006): https://proa.ua.pt/index.php/revdeti/article/view/17244.
  67. Georgieva, Petia; Azevedo, Sebastião Feyo de. "Application of artificial neural networks in modeling and optimization of batch crystallization processes". (2006): https://proa.ua.pt/index.php/revdeti/article/view/17244.
  68. Simoglou, A.; Georgieva, P.; Martin, E.B.; Morris, A.J.; Feyo De Azevedo, S.. "On-line monitoring of a sugar crystallization process". Computers and Chemical Engineering 29 6 SPEC. IS (2005): 1411-1422. http://www.scopus.com/inward/record.url?eid=2-s2.0-18244371404&partnerID=MN8TOARS.
    10.1016/j.compchemeng.2005.02.013
  69. Baruch, I.S.; Georgieva, P.; Barrera-Cortes, J.; De Azevedo, S.F.. "Adaptive recurrent neural network control of biological wastewater treatment". International Journal of Intelligent Systems 20 2 (2005): 173-193. http://www.scopus.com/inward/record.url?eid=2-s2.0-13844296578&partnerID=MN8TOARS.
    10.1002/int.20061
  70. Georgieva, P.; Meireles, M.J.; Feyo de Azevedo, S.. "Knowledge-based hybrid modelling of a batch crystallisation when accounting for nucleation, growth and agglomeration phenomena". Chemical Engineering Science 58 16 (2003): 3699-3713. http://www.scopus.com/inward/record.url?eid=2-s2.0-0042827953&partnerID=MN8TOARS.
    10.1016/S0009-2509(03)00260-4
  71. Trayana Patarinska; Petya Koprinkova; Silvia Popova. "Neural network based biomass and growth rate estimation aimed to control of a chemostat microbial cultivation". Applied Artificial Intelligence (2003): https://publons.com/publon/3487068/.
    10.1080/713827143
  72. Petia Georgieva; Sebastião Feyo de Azevedo; Maria João Gonçalves; Peter Ho; Faculdade de Engenharia. "Modeling of sugar crystallization through knowledge integration". (2003): https://hdl.handle.net/10216/98899.
    10.1002/elsc.200390019
  73. Georgieva, P.; Feyo De Azevedo, S.. "A neural network based approach for measurement dynamics compensation". Applied Artificial Intelligence 16 6 (2002): 423-442. http://www.scopus.com/inward/record.url?eid=2-s2.0-0036646944&partnerID=MN8TOARS.
    10.1080/08839510290030291
  74. Georgieva, P.; Ilchmann, A.. "Adaptive ¿-tracking control of activated sludge processes". International Journal of Control 74 12 (2001): 1247-1259. http://www.scopus.com/inward/record.url?eid=2-s2.0-0035883107&partnerID=MN8TOARS.
    10.1080/00207170110065910
  75. Georgieva, P.; Ilchmann, A.; Weirig, M.-F.. "Modelling and adaptive control of aerobic continuous stirred tank reactors". European Journal of Control 7 5 (2001): 476-491. http://www.scopus.com/inward/record.url?eid=2-s2.0-29944447574&partnerID=MN8TOARS.
    10.3166/ejc.7.476-491
  76. Mareels, I; Georgieva, P; Ilchmann, A; Weirig, M. "Discussion on: “Modeling and Adaptive Control of Aerobic Continuous Stirred Tank Reactors” by P. Georgieva, A. Ilchmann and M.-F. Weirig". European Journal of Control (2001):
    10.3166/ejc.7.492-493
  77. Georgieva, P.G.; Ignatova, M.N.. "Implementation of robust control theory to a continuous stirred tank bioreactor". Bioprocess Engineering 22 6 (2000): 563-568. http://www.scopus.com/inward/record.url?eid=2-s2.0-2442593226&partnerID=MN8TOARS.
  78. Ignatova, M.; Lubenova, V.; Georgieva, P.. "MIMO adaptive linearizing control of fed-batch amino acids simultaneous production". Bioprocess Engineering 22 1 (2000): 79-84. http://www.scopus.com/inward/record.url?eid=2-s2.0-0033951345&partnerID=MN8TOARS.
  79. Georgieva, P.G.; Feyo De Azevedo, S.. "Robust control design of an activated sludge process". International Journal of Robust and Nonlinear Control 9 13 (1999): 949-967. http://www.scopus.com/inward/record.url?eid=2-s2.0-6744224437&partnerID=MN8TOARS.
    10.1002/(SICI)1099-1239(199911)9:13<949::AID-RNC445>3.0.CO;2-G
  80. Georgieva, P.G.; Ignatova, M.N.. "LFT models of continuous biotechnological processes". Bioprocess Engineering 20 2 (1999): 179-183. http://www.scopus.com/inward/record.url?eid=2-s2.0-0033063952&partnerID=MN8TOARS.
    10.1007/s004490050578
  81. PETZOLD, P; GEORGIEVA, P. "CONTRAST AND ASSIMILATION - INCOMPATIBLE OR COMPLEMENTARY PROCESSES". Zeitschrift fur Psychologie-journal of Psychology (1994): https://publons.com/wos-op/publon/67054212/.
  82. Petia Georgieva; Georgieva, Petya; Ishtev, Kamen. "ROBUST STABILITY IN MULTIVARIABLE FEEDBACK-SYSTEMS USING DOMINANCE CONCEPT AND APPROXIMATE MODEL". 93, INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS: SYSTEMS ENGINEERING IN THE SERVICE OF HUMANS, VOL 3 (1993): 205-209. https://publons.com/publon/15926468/.
Capítulo de livro
  1. Ramin Taheri; Alexander Gegov; Farzad Arabikhan; Alexandar Ichtev; Petia Georgieva; P. Georgieva. "Explainable Artificial Intelligence for Intrusion Detection in Connected Vehicles". 2025.
    10.1007/978-981-95-4575-9_11
  2. Brandao, A.; Georgieva, P.. "Automatic Log Analysis to Prevent Cyber Attacks". 315-339. 2022.
    10.1007/978-3-030-78124-8_14
  3. Rodrigo Almeida; Petia Georgieva; Nelson Martins. "Energy Savings in Residential Buildings Based on Adaptive Thermal Comfort Models". 2022.
    10.1007/978-3-031-04881-4_51
  4. Daniel Canedo; Pedro Fonseca; Petia Georgieva; António J. R. Neves; Canedo, Daniel; Fonseca, Pedro; Georgieva, Petia; Neves, António J. R.. "An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5". 2022.
    10.1007/978-3-031-04881-4_30
  5. José Bastos; Filipe Silva; Petia Georgieva. "Deep Learning for Diagnosis of Alzheimer’s Disease with FDG-PET Neuroimaging". 95-107. Springer International Publishing, 2022.
    10.1007/978-3-031-04881-4_8
  6. Maria João Lopes; Eugénio M. Rocha; Petia Georgieva Georgieva; Nelson Ferreira. "General Model for Metrics Calculation and Behavior Prediction in the Manufacturing Industry". In An Automated Machine Learning Approach, 263-290. {IGI, 2021.
    10.4018/978-1-7998-6985-6.ch012
  7. Desislava Nikolova; Petia Mihaylova; Agata Manolova; Petia Georgieva. "ECG-Based Human Emotion Recognition Across Multiple Subjects". 2019.
    10.1007/978-3-030-23976-3_3
  8. André Brandão; Pedro Pires; Petia Georgieva. "Reinforcement Learning and Neuroevolution in Flappy Bird Game". 225-236. Springer International Publishing, 2019.
    10.1007/978-3-030-31332-6_20
  9. Diogo Daniel Ferreira; Luís Leira; Petya Mihaylova; Petia Georgieva. "Breaking Text-Based CAPTCHA with Sparse Convolutional Neural Networks". 2019.
    10.1007/978-3-030-31321-0_35
  10. José Domingues; Bernardo Lopes; Petya Mihaylova; Petia Georgieva. "Incremental Learning for Football Match Outcomes Prediction". 2019.
    10.1007/978-3-030-31321-0_19
  11. Georgieva, P.; Suárez, L.A.P.; de Azevedo, S.F.. "Time accounting artificial neural networks for biochemical process models". 2017.
    10.1007/978-3-319-41438-6_4
  12. Figueiredo, N.; Silva, F.; Georgieva, P.; Milanova, M.; Mendi, E.. "Towards an adaptive brain-computer interface – An error potential approach". 2015.
    10.1007/978-3-319-14899-1_12
  13. de Azevedo, S.F.; P. Georgieva. "Error tolerant predictive control based on recurrent neural models". In Innovations in Intelligent Machines-5. 2014.
    10.1007/978-3-662-43370-6_2
  14. Georgieva, P.; Silva, F.; Milanova, M.; Kasabov, N.. "EEG signal processing for brain-computer interfaces". 797-812. 2014.
  15. Luis Alberto Paz Suarez; Petia Georgieva; Sebastiao Feyo de Azevedo; P. Georgieva. "Model Predictive Control Strategies for Batch Sugar Crystallization Process". In Advanced Model Predictive Control. 2011.
    Publicado • 10.5772/16853
  16. Georgieva, P.. "Plant and Equipment: Instrumentation and Process Control: Process Control". 242-251. 2011.
    10.1016/b978-0-12-374407-4.00413-1
  17. Oliveira, R.; Feyo de Azevedo, S.; P. Georgieva. "Plant and Equipment: Instrumentation and Process Control: Instrumentation". In Encyclopedia of Dairy Sciences. 2011.
    10.1016/b978-0-12-374407-4.00412-x
  18. Simoglou, A.; Georgieva, P.; Martin, E.B.; Morris, A.J.; Feyo de Azevedo, S.. "On-line multivariate statistical monitoring of a fed-batch sugar crystallisation process". 2004.
    10.1016/s1570-7946(04)80202-5
Edição de livro
  1. Pinho, AJ; Georgieva, P; Teixeira, LF; Sánchez, JA, ed. Pattern Recognition and Image Analysis - 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4-6, 2022, Proceedings. 2022.
  2. Georgieva, Petia; P. Georgieva, ed. ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova. 2015.
    Publicado • 10.7148/2015
Livro
  1. P. Georgieva. Advances in Intelligent Signal Processing and Data Mining: Theory and Applications. 2013.
    Publicado • 10.17632/K37H8H7ZKS.2
  2. Petia Georgieva; Lyudmila Mihaylova; Lakhmi C Jain. Advances in Intelligent Signal Processing and Data Mining. Springer Berlin Heidelberg. 2013.
    10.1007/978-3-642-28696-4
  3. Georgieva, P.; Mihaylova, L.; Silva, F.; Milanova, M.; Figueiredo, N.; Jain, L.C.. A sequential Monte Carlo approach for brain source localization. 2013.
    10.1007/978-3-642-28696-4-5
  4. Mihaylova, L.; Georgieva, P.; Jain, L.C.. Introduction to intelligent signal processing and data mining. 2013.
    10.1007/978-3-642-28696-4-1
  5. Georgieva, P.; de Azevedo, S.F.. Novel computational methods for modeling and control in chemical and biochemical process systems. 2009.
    10.1007/978-3-642-01888-6_4
Poster em conferência
  1. Marques, Catarina R.; Azeiteiro, Ulisses; Nogueira, António José Arsénia; Filipe Silva; Georgieva, Petia; Soares, Amadeu M. V. M.. "SEEBug - development of a SENSor for the fast and effective detection of pathogenic bacteria in Bivalves". Trabalho apresentado em 7th International Conference on Bio-sensing Technology, 2024.
Resumo em conferência
  1. Canedo, Daniel; Neves, Antonio; Georgieva, Petia. Autor correspondente: Canedo, Daniel. "Integration of deep learning models into the odyssey gis for archaeological site detection using a microservices architecture". Trabalho apresentado em EAA 2023, Belfast, 2023.
    Publicado
  2. Botelho, Fabrício; Canedo, Daniel; Georgieva, Petia; Neves, Antonio; Fonte, João; Gonçalves-Seco, Luis; Vázquez, Marta; et al. Autor correspondente: Botelho, Fabrício. "Automated detection of archaeological sites using lidar - addressing false positives". Trabalho apresentado em CAA 2023, Amesterdão, 2023.
    Publicado
  3. Canedo, Daniel; Neves, Antonio; Georgieva, Petia. Autor correspondente: Canedo, Daniel. "A data-centric AI solution for detecting burial mounds in lidar data". Trabalho apresentado em Research Summit 2023, 2023.
    Publicado
  4. Canedo, Daniel; Neves, Antonio; Georgieva, Petia. Autor correspondente: Canedo, Daniel. "Data-centric artificial intelligence in the context of computer vision". Trabalho apresentado em Research Summit 2022, 2022.
Tese / Dissertação
  1. "New products for the ceramic raw materials market ( Pietro Flores Merlin)". Mestrado, Universidade de Aveiro, 2025.
  2. "Skin Disease Diagnosis with Adversarial Training and Diffusion Models (Gonçalo Rodrigues Silva )". Mestrado, Universidade de Aveiro, 2025.
  3. "Intelligent production control of PICadvanced optoelectronic transceivers (Francisco José da Silva Almeida)". Mestrado, Universidade de Aveiro, 2025.
  4. "Blemish Detection Algorithms for Image Sensor Improvement and Qualification during Camera Production (André Fernandes)". Mestrado, Universidade de Aveiro, 2025. http://hdl.handle.net/10773/45758.
  5. "AI-based River Discharge Forecasting. MSc in Robotics and Intelligent Systems (Luís Silva )". Mestrado, Universidade de Aveiro, 2024. http://hdl.handle.net/10773/45180.
  6. "Predictive Analytics for Customer Behaviour: Top Up Propensity and Balance Before Top Up Prediction in Prepaid Mobile Service (Beatriz Mesquita Gonçalves)". Mestrado, Universidade de Aveiro, 2024.
  7. "Computer Vision and Machine Learning for Automatic Optical Beam Steering in FSO Systems (André Costa Campos)". Mestrado, Universidade de Aveiro, 2023. http://hdl.handle.net/10773/41601.
  8. "Tools for Explainable AI in medical applications (Beatriz Tavares da Costa)". Mestrado, Universidade de Aveiro, 2023. http://hdl.handle.net/10773/41603.
  9. "Hivekind: exploring solutions to protect the bee population (Miguel Pedro Santos Paz de Carvalho )". Licenciatura, Universidade de Aveiro, 2023. http://hdl.handle.net/10773/42401.
  10. "Archaeological site identification on aerial imagery using deep learning (Leonardo dos Santos Maia)". Mestrado, Universidade de Aveiro, 2023. http://hdl.handle.net/10773/41030.
  11. "Next-generation 3D object detection and tracking for self-driving vehicles using object velocity (Diogo Emanuel Nascimento Mendonça)". Mestrado, Universidade de Aveiro, 2023. http://hdl.handle.net/10773/41698.
  12. "A self-surveillance system for change detection of pigmented skin lesions (João António Palavra Marques )". Mestrado, Universidade de Aveiro, 2019. http://hdl.handle.net/10773/29597.
  13. "A study of transfer learning for skin lesion classification (Fábio André Ribeiro Maia )". Mestrado, 2019. http://hdl.handle.net/10773/29408.
  14. "Decision support service for Bewegen bike-sharing systems (Diogo Macedo de Sousa)". Mestrado, Universidade de Aveiro, 2019. http://hdl.handle.net/10773/29670.
  15. "Generalization and anticipation skills for robot ball catching using supervised learning (Diogo Carneiro)". Mestrado, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23856.
  16. "Development of intelligent tool for phising email detection (Marcos Pires )". Mestrado, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/25890.
  17. "Face detection and recognision (Rui Jorge Duarte Costa )". Mestrado, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21683.
  18. "Estratégias avançadas de modelização e controlo para processos industriais não lineares e des+contínuos : aplicação em cristalizadores industriais de açucar (Luis Alberto Paz Suárez )". Doutoramento, Universidade do Porto Faculdade de Engenharia, 2010. http://hdl.handle.net/10216/58885.
  19. "Detecção de actividade cerebral com imagens de ressonância magnética (Pedro Emanuel Mareira Maia )". Mestrado, Universidade de Aveiro, 2010. http://hdl.handle.net/10773/7434.
  20. "Interface cérebro-computador não invasiva baseada em OpenVibe ( Bruno Migel Lopes Prada )". Mestrado, Universidade de Aveiro, 2010. http://hdl.handle.net/10773/7524.
  21. "Sistema de identificação pessoal baseado em sinais de EEG (Antonio Jose Claro Ferreira)". Mestrado, Universidade de Aveiro, 2009. http://hdl.handle.net/10773/2114.
  22. "Laboratório virtual de sistemas de controlo (João Miguel Ribeiro Paiva Ferraz)". Mestrado, Universidade de Aveiro, 2009. http://hdl.handle.net/10773/2108.
  23. "Controlo de sistemas dinâmicos com redes neuronais artificiais (Vitor Manuel Costa Ribeiro )". Mestrado, 2008. https://ria.ua.pt/handle/10773/2007.
  24. "Ajuste de controladores por optimização não linear multiobjectivo (Norberto Emanuel Godinho Salgado )". Mestrado, 2008. http://hdl.handle.net/10773/1959.

Propriedade Intelectual

Patente
  1. P. Georgieva; Drummond, Miguel; Xavier Pinto Santos. 2023. "Petia Georgieva. Semi-synthetic generation of a database for 3D object recognition.". Portugal.
    Pendente

Outros

Conjunto de dados
  1. Leandro Alexandrino; Miguel Drummond; Petia Georgieva; Hadi Zahir olyaei. Synthetic automotive LiDAR dataset with radial velocity additional feature - (x,y,z,v).
    10.5281/zenodo.7184989
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2025/10/23 Machine and Deep learning for 5G network management (KEYNOTE) South American Conference on Visible Light Communication (SACVLC)
(La Paz, Bolívia)
2025/10/09 Machine learning methods for management of 5G networks (KEYNOTE) IEEE International Conference Automatics and Informatics (ICAI'25)
(Varna, Bulgária)
2025/06/30 Tutorial: AI-enabled mechanisms for 5G network management International Joint Conference on Neural Networks (IJCNN)
(Rome, Itália)
2025/06/13 AI-enabled mechanisms for control of wireless sensor networks (KEYNOTE) IEEE Int Conf Automatics, Robotics & Artificial Intelligence (ICARAI’25)
(Sozopol, Bulgária)
2025/04/21 Deep Learning for medical image processing (INVITED TALK) . Universidad Andres Bello (UNAB), Chile, 21/April 2025. Erasmus visit in Universidad Andres Bello (UNAB)
(Santiago de Chile , Chile)
2024/09/19 Application of ML&DL for management of complex wireless sensor networks (INVITED TALK) Sept. 19th 2024, Czech Technical University in Prague, Czech Republic. EU-funded Doctoral Network MS Training School - Optical and WIreless sensors Networks for 6G scenarios (OWIN6G)
Czech Technical University in Prague (Prague, República Checa)
2023/12/01 Energy consumption optimization in residential buildings based on machine learning algorithms (KEYNOTE) 8th Workshop on Communication Networks and Power Systems (WCNPS'23),30/Nov-1/Dec, 2023, University of Brasilia (UnB), Brasil.
2023/10/18 Explainable Artificial Intelligence (AI) in Healthcare applications (KEYNOTE). EAI GOODTECHS 2023 - 9th EAI Int Conf on Smart Objects and Technologies for Social Good, Oct 18-20, 2023, Leiria, Portugal.
2023 Explainable Artificial Intelligence in healthcare applications (KEYNOTE). IEEE Int Conf Automatics, Robotics & Artificial Intelligence (ICARAI’23),16-19 June 2023, Sozopol, Bulgaria.
2023 Artificial Intelligence – food for thought (INVITED SPEAKER). Physics Week organized by the Portuguese association of Physics students. University of Aveiro. 29/May, 2023.
2023 Machine Learning Algorithms for Brain Machine Interfaces (KEYNOTE). 22nd EPIA Portuguese Conf on Artificial Intelligence, 5-8 Sept. 2023, Faial, Portugal.
2022 Machine Learning and Deep Learning in Brain Computer Interfaces (INVITED TALK) . Pontifícia Universidade Católica (PUC-SP), São Paulo, Brazil, Biomedical Engineering Week, 4/Oct, 2022.
2022 Machine learning in industry – from model-driven to data-driven approach (KEYNOTE). ICSMLE 2022 : Int Conference on Statistics and Machine Learning in Electronics, Sofia, Bulgaria, 12-13 May 2022.
2022 Invited speaker of the panel Applications of Brain-Computer Interfaces. VII Week of Bioengineering 2022, Instituto Superior Técnico (IST), Univ Lisboa, 1/April, 2022.
2022 • Deep Learning in Brain Computer Interfaces (BCI) – Invited talk in Technical University of Sofia, 25/Feb 2022.
2021 Webinar Artificial Intelligence, Open Innovation cycle of webinars organized by CENTIMFE. Invited Speaker, 13 /Dec, 2021.

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2025/12 - 2029/11 AI–Driven approach for advanced materials development.
Coorientador de Pietro Merlin
Universidade de Aveiro, Portugal
2025/09 - 2029/08 Resource-Efficient Quantum-inspired Machine Learning for Breast Cancer Imaging
Coorientador de Komalben Kukadiya
 Doctoral Program in Informatics MAP-I (Doutoramento)
Universidade de Aveiro, Portugal
2025/09 - 2029/08 Machine learning tools for Integrated Sensing and Communication
Coorientador de Haneen Shhadeh
 Doctoral Program in Electrical Engineering (DPEE) (Doutoramento)
Universidade de Aveiro, Portugal
2023 - 2026 AI for orchestration and edge-offloading of 5G communications in vehicle mobility applications
Coorientador
 Phd (Doutoramento)
Universidade de Aveiro, Portugal
2020 - 2024 Data-Centric Artificial Intelligence in the Context of Computer Vision
Coorientador
 PhD (Doutoramento)
Universidade de Aveiro, Portugal
2020 - 2024 Self-learning predictive models for thermal comfort in Smart Homes
Orientador
Universidade de Aveiro, Portugal
2020 - 2024 From ML-based Algorithms to FPGA Implementation of 6G Receiver Physical Layer Functions
Coorientador
 PhD (Doutoramento)
Universidade de Aveiro, Portugal
2020 - 2024 Towards virtual forming and design: implicit material modelling using AI techniques and big data generation
Coorientador
 PhD (Doutoramento)
Universidade de Aveiro, Portugal
2020 - 2023 Plataforma de Orquestração para Suporte à Tomada de Decisão em Organizações Orientadas para a Cadeia de Valor
Coorientador
 PhD (Doutoramento)
Universidade de Aveiro, Portugal
2017 - 2019 Application of Machine learning methods for IoT and big data analysis in sharing economy ecosystem
Orientador
Tehnicheski universitet Sofija, Bulgária
2018 - 2018 Desenvolvimento de Ferramenta Inteligente para Deteção de Phishing
Orientador
 Engenharia de Computadores e Telemática (Mestrado)
Universidade de Aveiro, Portugal
2014 - 2017 Application of machine learning methods for affective computing and development of noninvasive Brain Computer Interface
Orientador
Tehnicheski universitet Sofija, Bulgária
2016 - 2016 Deteção e Reconhecimento Facial
Orientador
 Engenharia Eletrónica e Telecomunicações (Mestrado)
Universidade de Aveiro, Portugal
2010 - 2013 Evolving Probabilistic Spiking Neural Networks for Modelling and Pattern Recognition of Spatio-temporal Data on the Case Study of Electroencephalography (EEG) Brain Data
Coorientador
Auckland University of Technology, Nova Zelândia
2008 - 2012 Enhancing the usability, computational efficiency and reability of EEG - based brand machine interfaces.
Orientador
 Informática (Doutoramento)
Universidade de Aveiro, Portugal
2007 - 2010 Estratégias Avançadas de Modelização e Controlo para Processos Industriais Não Lineares e Descontínuos. Aplicação em Cristalizadores Industriais de Açúcar.
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2025 - 2025/07/02 Panel discussion on AI Innovations for Education: Transforming Teaching and Learning through Cutting-Edge Technologies. Int. Joint Conf on Neural Networks (IJCNN), Rome , July 2, 2025. (2025/07/02)
Mesa-redonda (Coorganizador)
2025/02/06 - 2025/02/07 Workshop - Introduction to Deep Learning, 6-7 Feb, 2025, Technical University of Sofia, Bulgaria. (2025)
Oficina (workshop) (Coorganizador)
 Tehniceski universitet-Sofia, Bulgária
2022/05/04 - 2022/05/06 Program Chair of IbPRIA 2022: 10th Iberian Conference on Pattern Recognition and Image Analysis, Aveiro, Portugal, 4-6 May, 2022. (2022 - 2022)
Conferência (Membro da Comissão Organizadora)
 Universidade de Aveiro, Portugal

Participação em evento

Descrição da atividade
Tipo de evento 		Nome do evento
Instituição / Organização
2024 - Atual Workshop - Introduction to Machine Learning, 1-2 February, 2024, Technical University of Sofia, Bulgaria.
2024/12/04 - 2024/12/04 MAP-TELE Seminar, FEUP: AI-based management of wireless sensor networks. 4th Dec, 2024.
Seminário

Arbitragem científica em conferência

Nome da conferência Local da conferência
2026 - 2026 Future Facing Learning and AI in Higher Education conf., 15-17 April, 2026, Teesside University, London, UK (https://www.tees.ac.uk/sections/whats_on/ffl_2026.cfm).

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2025 - Atual Associate Editor of Pattern Recognition, Elsevier
2025 - Atual Action Editor of Neural Networks, Elsevier Elsevier
2024 - 2026 Guest Editor for Special Issue: Neural Networks and Deep Learning in Computer Vision, Journal Electronics
2024 - 2025 Member of Editorial Board of Frontiers in Human Neuroscience Journal. Editor for Research topic collection - 15 Years of Frontiers in Human Neuroscience: The Current State of Brain-Computer Interfaces.
2019 - 2021 Member of the editorial board of Journal SIGNALS, MDPI
2011 - 2014 Member of the editorial board of Springer Book Series Bio-Neuroinformatics Springer

Comissão de avaliação

Descrição da atividade
Tipo de assessoria 		Instituição / Organização Entidade financiadora
2025 - 2025 President of the A3ES External Accreditation Committee (CAE) for a new Batchelor Program -Informatics Engineering, University Fernando Pessoa, Faculty of Science and Technology, Porto, Portugal, Ref. nº ACEF/2425/0219952. Oct-Dec 2025.
Presidente
2025 - 2025 President of the A3ES External Accreditation Committee (CAE) for a new Master Program -Informatics Engineering, University Fernando Pessoa, Faculty of Science and Technology, Porto, Portugal, Ref. nº ACEF/2425/0219967. Oct-Dec 2025.
Presidente
2024 - 2024 Member of the A3ES External Accreditation Committee (CAE) for a new Master program Advanced Computing, University of Minho, Portugal, July-December 2024.
Membro
2024 - 2024 Member of the A3ES External Accreditation Committee (CAE) for a new Batchelor Program Physics and Computational Engineering, University of Madeira, Portugal, July-December 2024.
Distinções

Prémio

2021 BEST POSTER: F. C. Brito, M. J. B. Martins, P. Rebelo, J. Mesquita Bastos, P. Georgieva, C. Leitão Processing and Extraction of Arterial Pulse Waves -comparison between manual and clustering based selections. Health meeting of Health Decision Making
Universidade de Aveiro, Portugal
2020 BEST PAPER award: A. Brandão, P. Georgieva (2020). Log Files Analysis for Network Intrusion Detection. 10th IEEE Int Conf on Intelligent Systems, 28-30 August, 2020, Varna, Bulgaria
2016 Best paper award - 8 IEEE Int Conf on Intelligent Systems. Paper: K. Georgieva, P. Georgieva, O. Georgieva, M.J. Ribeiro, J.S. Paiva (2016), Regression Approach for Automatic Detection of Attention Lapses.
2012 Best paper award : 6th IEEE Int Conf on Intelligent Systems. Paper: P Georgieva, F. Silva, N. Figueiredo (2012). Brain Machine Interface - IEETA Case Study.