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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
6701326860

Domínios de atuação

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

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
2003
Concluído
 Engenharia Electrotécnica e de Computadores (Doutoramento)
Especialização em Sem especialidade
Universidade do Porto Faculdade de Engenharia, Portugal
"Synthesis of Linear-sqare Self-adjusting Regulator" (TESE/DISSERTAÇÃO)
1997
Concluído
 Ph.D. in Systems and Control Engineering (Doctor of Philosophy)
Tehnicheski universitet Sofija, 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
2003 - Atual Investigador (Investigação) Universidade de Aveiro Instituto de Engenharia Eletrónica e Informática de Aveiro, Portugal

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
2003/09/01 - 2020/09/30 Professor Auxiliar (Docente Universitário) Universidade de Aveiro, Portugal
Projetos

Bolsa

Designação Financiadores
2016/01/17 - 2016/06/19 Computational neuro-science and sensor data processing
SFRH/BSAB/113915/2015
 Fundação para a Ciência e a Tecnologia
Concluído
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
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
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, 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
  2. 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
  3. Costa, B.; Georgieva, P.. "Explainable Artificial Intelligence in Healthcare Applications: A Systematic Review". 2023.
    10.1109/COMSCI59259.2023.10315829
  4. 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
  5. 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
  6. 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
  7. 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
  8. Santos, F.; Silva, F.; Georgieva, P.. "Transfer learning for skin lesion classification using convolutional neural networks". 2021.
    10.1109/INISTA52262.2021.9548455
  9. Santos, F.; Silva, F.; Georgieva, P.. "Out of training distribution detection for multi-class skin lesion diagnosis". 2021.
    10.1109/INISTA52262.2021.9548595
  10. 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
  11. 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
  12. Santos, F.; Silva, F.; Georgieva, P.. "Automated Diagnosis of Skin Lesions". 2020.
    10.1109/IS48319.2020.9200090
  13. Georgieva, P.; Zhang, P.. "Optical Character Recognition for Autonomous Stores". 2020.
    10.1109/IS48319.2020.9200182
  14. Brandao, A.; Georgieva, P.. "Log Files Analysis for Network Intrusion Detection". 2020.
    10.1109/IS48319.2020.9199976
  15. Georgieva, P.. "Deep learning in brain computer interfaces". 2019.
    10.1145/3351556.3351594
  16. Jesus, R.; Antunes, M.; Georgieva, P.; Gomes, D.; Aguiar, R.L.. "Stream generation: Markov chains vs GANs". 2019.
    10.5220/0007766501770184
  17. Bozhkov, L.; Georgieva, P.. "Overview of Deep Learning Architectures for EEG-based Brain Imaging". 2018.
    10.1109/IJCNN.2018.8489561
  18. Carneiro, D.; Silva, F.; Georgieva, P.. "The role of early anticipations for human-robot ball catching". 2018.
    10.1109/ICARSC.2018.8374153
  19. 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
  20. Nikolova, D.; Georgieva, P.; Petkova, P.; Manolova, A.. "ECG-based emotion recognition: Overview of methods and applications". 2018.
  21. Mollova, S.; Zhekov, M.; Kostadinov, A.; Georgieva, P.. "Laboratory model for research on computer cluster systems". 2018.
    10.23919/MIPRO.2018.8400250
  22. 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
  23. 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
  24. Mladenov, V.M.; Georgieva, P.; Spasov, G.; Petrova, G.. "Preface". 2015.
  25. 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
  26. 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
  27. 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
  28. 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
  29. Fonseca, IA; Gaspar, HM. "An Object-Oriented Approach For Virtual Prototyping In Conceptual Ship Design". 2015.
    10.7148/2015-0171
  30. Rutle, A; Wang, H; Bye, RT; Osen, OL. "Scalable And User-Friendly Simulation". 2015.
    10.7148/2015-0164
  31. Ren, S; McKenzie, FD. "Collaborative Virtual Environment For Engineering Laboratory". 2015.
    10.7148/2015-0157
  32. Bye, RT; Osen, OL; Pedersen, BS. "A Computer-Automated Design Tool For Intelligent Virtual Prototyping Of Offshore Cranes". 2015.
    10.7148/2015-0147
  33. Levis, AH. "Multi-Formalism Modeling Of Human Organizations". 2015.
    10.7148/2015-0019
  34. Zimmermann, H. "Causality Versus Predictability In Neural Network Modeling". 2015.
    10.7148/2015-0005
  35. 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
  36. Havran, D; Varadi, K. "Resiliency On Order-Driven Markets". 2015.
    10.7148/2015-0132
  37. Kulakowski, K; Malarz, K; Krawczyk, MJ. "Heavy Context Dependence — Decisions Of Underground Soldiers". 2015.
    10.7148/2015-0125
  38. Shvets, E. "Stochastic Multi-Agent Patrolling Using Social Potential Fields". 2015.
    10.7148/2015-0042
  39. Adamek, M; Neumann, P; Pospisilik, M. "The Gas Tiny Flow Measurement Instrumentation". 2015.
    10.7148/2015-0292
  40. Pekar, L. "A Simple DDS Algorithm For TDS: An Example". 2015.
    10.7148/2015-0246
  41. Szmajduch, M; Kolodziej, J. "Data-Aware Scheduling In Massive Heterogeneous Systems". 2015.
    10.7148/2015-0601
  42. Szominski, S; Plichta, A. "Mobile Robot Navigation Algorithms Based On Stereovision". 2015.
    10.7148/2015-0581
  43. Herrmann, F. "Perturbation In Local Search For Scheduling". 2015.
    10.7148/2015-0446
  44. Mladenov, VM; Kirilov, SM. "Memristor Modeling In MATLAB & PSPICE". 2015.
    10.7148/2015-0432
  45. Grabis, J; Chandra, C. "Design And Simulation Of Process Improvement Scenarios". 2015.
    10.7148/2015-0359
  46. Bozhkov, L.; Georgieva, P.. "Brain neural data analysis with feature space defined by descriptive statistics". 2015.
    10.1007/978-3-319-19390-8_47
  47. Lachezar Bozhkov; Petia Georgieva. "Classification Models of Emotional Biosignals Evoked While Viewing Affective Pictures". 2014.
    10.5220/0005104206010606
  48. 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
  49. 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
  50. Suarez, L.A.P.; Georgieva, P.; De Azevedo, S.F.. "Error tolerant MPC versus PI control - A crystallization case study". 2014.
  51. 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
  52. Bozhkov, L.; Georgieva, P.. "Classification models of emotional biosignals evoked while viewing affective pictures". 2014.
  53. Georgieva, O.; Milanov, S.; Georgieva, P.. "Cluster analysis for EEG biosignal discrimination". 2013.
    10.1109/INISTA.2013.6577646
  54. Georgieva, P.; De La Torre, F.. "Robust principal component analysis for brain imaging". 2013.
    10.1007/978-3-642-40728-4_36
  55. 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
  56. 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
  57. Georgieva, P.; Silva, F.; Figueiredo, N.. "Brain machine interface IEETA case study". 2012.
    10.1109/IS.2012.6335164
  58. Georgieva, P.; Mihaylova, L.; Bouaynaya, N.; Jain, L.. "Particle filters and beamforming for EEG source estimation". 2012.
    10.1109/IJCNN.2012.6252516
  59. Georgieva, P.; Feyo De Azevedo, S.. "Neural networks for model predictive control". 2011.
    10.1109/IJCNN.2011.6033208
  60. Simeonov, S.; Georgieva, P.; Germanov, V.; Dimitrov, A.; Karastoyanov, D.. "Computer system for navigating a mobile robot". 2011.
    10.1109/ISCI.2011.5958907
  61. Ferreira, A.; Almeida, C.; Georgieva, P.; Tomé, A.. "Person identification using VEP signals and SVM classifiers". 2010.
    10.1109/IJCNN.2010.5596616
  62. Ferreira, A.; Almeida, C.; Georgieva, P.; Tomé, A.; Silva, F.. "Advances in EEG-based biometry". 2010.
    10.1007/978-3-642-13775-4_29
  63. Suárez, L.A.P.; Georgieva, P.; De Azevedo, S.F.. "Intelligent predictive control - Application to scheduled crystallization processes". 2009.
    10.1109/icais.2009.34
  64. 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
  65. 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
  66. 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
  67. 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
  68. Georgieva, P; de Azevedo, SF. "Application of Feed Forward Neural Networks in Modeling and Control of a Fed-Batch Crystallization Process". 2006.
  69. Galvanauskas, V.; Georgieva, P.; Feyo De Azevedo, S.. "Dynamic optimisation of industrial sugar crystallization process based on a hybrid (mechanistic+ANN) model". 2006.
  70. 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.
  71. 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
  72. 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.
  73. 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. Petia Georgieva. "Automated Detection of Hillforts in Remote Sensing Imagery With Deep Multimodal Segmentation". Archaeological Prospection 1 1 (2024): 1-15. http://www.it.pt/Publications/PaperJournal/34347.
    10.1002/arp.1958
  2. 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
  3. Rúben Lourenço; Petia Georgieva; Elias Cueto; A. Andrade-Campos. "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
  4. PS André; Maria Rute Ferreira André; Sandra Correia; Lianshe Fu; Mário Antunes; Petia Georgieva. "Predicting the efficiency of luminescent solar concentrators for solar energy harvesting using machine learning". Scientific Reports 14 1 (2024): 4160-4160. http://www.it.pt/Publications/PaperJournal/34125.
    10.1038/s41598-024-54657
  5. 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
  6. 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
  7. 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
  8. Ferreira, R.A.S.; Correia, S.F.H.; Fu, L.; Georgieva, P.; Antunes, M.; André, P.S.. "Predicting the efficiency of luminescent solar concentrators for solar energy harvesting using machine learning". Scientific Reports 14 1 (2024): http://www.scopus.com/inward/record.url?eid=2-s2.0-85185507489&partnerID=MN8TOARS.
    10.1038/s41598-024-54657-x
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. Santos, Fábio Miguel Tomaz dos. "Deep learning for multi-class skin lesion diagnosis". (2020): http://hdl.handle.net/10773/29604.
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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.
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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.
  46. 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.
  47. 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
  48. 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
  49. 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.
  50. 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
  51. 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.
  52. 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
  53. 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.
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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.
  64. 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.
  65. 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
  66. 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
  67. 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/.
  68. 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. Brandao, A.; Georgieva, P.. "Automatic Log Analysis to Prevent Cyber Attacks". 315-339. 2022.
    10.1007/978-3-030-78124-8_14
  2. 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
  3. Daniel Canedo; Pedro Fonseca; Petia Georgieva; António J. R. Neves. "An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5". 2022.
    10.1007/978-3-031-04881-4_30
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. José Domingues; Bernardo Lopes; Petya Mihaylova; Petia Georgieva. "Incremental Learning for Football Match Outcomes Prediction". 2019.
    10.1007/978-3-030-31321-0_19
  10. 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
  11. 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
  12. Georgieva, P.; Silva, F.; Milanova, M.; Kasabov, N.. "EEG signal processing for brain-computer interfaces". 797-812. 2014.
  13. Georgieva, P.. "Plant and Equipment: Instrumentation and Process Control: Process Control". 242-251. 2011.
    10.1016/b978-0-12-374407-4.00413-1
  14. 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. Pattern Recognition and Image Analysis - 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4-6, 2022, Proceedings. 2022.
Livro
  1. Armando J. Pinho; Petia Georgieva; University of Porto; Joan Andreu Sánchez. Pattern Recognition and Image Analysis. 2022.
  2. Pinho, A.J.; Georgieva, P.; Teixeira, L.F.; Sánchez, J.A.. Preface. 2022.
  3. Georgieva, P.; de Azevedo, S.F.. Error tolerant predictive control based on recurrent neural models. 2014.
    10.1007/978-3-662-43370-6_2
  4. 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
  5. Georgieva, P.; Mihaylova, L.; Jain, L.C.. In the depth of winter, I finally learned that within me there lay an invincible summer. 2013.
  6. 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
  7. Mihaylova, L.; Georgieva, P.; Jain, L.C.. Introduction to intelligent signal processing and data mining. 2013.
    10.1007/978-3-642-28696-4-1
  8. 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
  9. Oliveira, R.; Georgieva, P.; Feyo de Azevedo, S.. Plant and Equipment: Instrumentation and Process Control: Instrumentation. 2002.
    10.1016/b978-0-12-374407-4.00412-x
Tese / Dissertação
  1. Marques, João António Palavra. "A self-surveillance system for change detection of pigmented skin lesions". Mestrado, 2019. http://hdl.handle.net/10773/29597.
  2. Maia, Fábio. "A study of transfer learning for skin lesion classification". Mestrado, 2019. http://hdl.handle.net/10773/29408.
  3. Sousa, Diogo Macedo de. "Decision support service for Bewegen bike-sharing systems". Mestrado, 2019. http://hdl.handle.net/10773/29670.
  4. Carneiro, Diogo José Vaz. "Generalization and anticipation skills for robot ball catching using supervised learning". Mestrado, 2017. http://hdl.handle.net/10773/23856.
  5. Pires, Marcos da Silva Neto Abranches. "Development of intelligent tool for phising email detection". Mestrado, 2017. http://hdl.handle.net/10773/25890.
  6. Costa, Rui Jorge Duarte. "Face detection and recognision". Mestrado, 2016. http://hdl.handle.net/10773/21683.
  7. Paz Suárez, Luis Alberto. "Estratégias avançadas de modelização e controlo para processos industriais não lineares e descontínuos : aplicação em cristalizadores industriais de açucar". Doutoramento, 2010. http://hdl.handle.net/10216/58885.
  8. Maia, Pedro Emanuel Moreira. "Detecção de actividade cerebral com imagens de ressonância magnética". Mestrado, 2010. http://hdl.handle.net/10773/7434.
  9. Prada, Bruno Miguel Lopes. "Interface cérebro-computador não invasiva baseada em OpenVibe". Mestrado, 2010. http://hdl.handle.net/10773/7524.
  10. Ferreira, António José Claro. "Sistema de identificação pessoal baseado em sinais de EEG". Mestrado, 2009. http://hdl.handle.net/10773/2114.
  11. Ferraz, João Miguel Ribeiro Paiva; Gaspar, Pedro André dos Santos. "Laboratório virtual de sistemas de controlo". Mestrado, 2009. http://hdl.handle.net/10773/2108.
  12. Ribeiro, Vítor Manuel Costa. "Controlo de sistemas dinâmicos com redes neuronais artificiais". Mestrado, 2008. http://hdl.handle.net/10773/2007.
  13. Salgado, Norberto Emanuel Godinho. "Ajuste de controladores por optimização não linear multiobjectivo". Mestrado, 2008. http://hdl.handle.net/10773/1959.

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
Outra produção
  1. Advances in Intelligent Signal Processing and Data Mining: Theory and Applications. 2016. Petia Georgieva. http://doi.org/10.17632/K37H8H7ZKS.2.
    10.17632/K37H8H7ZKS.2
  2. EEG-based subject independent affective computing models. 2016. Georgieva, Petia; Bozhkov, L.; Georgieva, P.; Santos, I.; Pereira, A.; Silva, C..
    10.17632/JVB9NSBWT9.2
  3. ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova. 2015. Georgieva, Petia. http://dx.doi.org/10.7148/2015.
    10.7148/2015
  4. Model Predictive Control Strategies for Batch Sugar Crystallization Process. 2011. Luis Alberto Paz Suarez; Petia Georgieva; Sebastiao Feyo de Azevedo. http://dx.doi.org/10.5772/16853.
    10.5772/16853
Atividades

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2023 - 2026 AI for orchestration and edge-offloading of 5G communications in vehicle mobility applications
Coorientador
Universidade de Aveiro, Portugal
2020 - 2024 Data-Centric Artificial Intelligence in the Context of Computer Vision
Coorientador
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
Universidade de Aveiro, Portugal
2020 - 2024 Towards virtual forming and design: implicit material modelling using AI techniques and big data generation
Coorientador
Universidade de Aveiro, Portugal
2020 - 2022 Plataforma de Orquestração para Suporte à Tomada de Decisão em Organizações Orientadas para a Cadeia de Valor
Coorientador
 Engenharia Electrotécnica, Electrónica e Informática (Doutoramento)
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
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
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
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.