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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 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
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. 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
  2. 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
  3. Georgieva, P.. "Deep learning in brain computer interfaces". 2019.
    10.1145/3351556.3351594
  4. Jesus, R.; Antunes, M.; Georgieva, P.; Gomes, D.; Aguiar, R.L.. "Stream generation: Markov chains vs GANs". 2019.
    10.5220/0007766501770184
  5. Bozhkov, L.; Georgieva, P.. "Overview of Deep Learning Architectures for EEG-based Brain Imaging". 2018.
    10.1109/IJCNN.2018.8489561
  6. Carneiro, D.; Silva, F.; Georgieva, P.. "The role of early anticipations for human-robot ball catching". 2018.
    10.1109/ICARSC.2018.8374153
  7. 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
  8. 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
  9. 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
  10. Mladenov, V.M.; Georgieva, P.; Spasov, G.; Petrova, G.. "Preface". 2015.
  11. 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
  12. 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
  13. 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
  14. 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
  15. Fonseca, IA; Gaspar, HM. "An Object-Oriented Approach For Virtual Prototyping In Conceptual Ship Design". 2015.
    10.7148/2015-0171
  16. Rutle, A; Wang, H; Bye, RT; Osen, OL. "Scalable And User-Friendly Simulation". 2015.
    10.7148/2015-0164
  17. Ren, S; McKenzie, FD. "Collaborative Virtual Environment For Engineering Laboratory". 2015.
    10.7148/2015-0157
  18. Bye, RT; Osen, OL; Pedersen, BS. "A Computer-Automated Design Tool For Intelligent Virtual Prototyping Of Offshore Cranes". 2015.
    10.7148/2015-0147
  19. Levis, AH. "Multi-Formalism Modeling Of Human Organizations". 2015.
    10.7148/2015-0019
  20. Zimmermann, H. "Causality Versus Predictability In Neural Network Modeling". 2015.
    10.7148/2015-0005
  21. 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
  22. Havran, D; Varadi, K. "Resiliency On Order-Driven Markets". 2015.
    10.7148/2015-0132
  23. Kulakowski, K; Malarz, K; Krawczyk, MJ. "Heavy Context Dependence — Decisions Of Underground Soldiers". 2015.
    10.7148/2015-0125
  24. Shvets, E. "Stochastic Multi-Agent Patrolling Using Social Potential Fields". 2015.
    10.7148/2015-0042
  25. Adamek, M; Neumann, P; Pospisilik, M. "The Gas Tiny Flow Measurement Instrumentation". 2015.
    10.7148/2015-0292
  26. Pekar, L. "A Simple DDS Algorithm For TDS: An Example". 2015.
    10.7148/2015-0246
  27. Szmajduch, M; Kolodziej, J. "Data-Aware Scheduling In Massive Heterogeneous Systems". 2015.
    10.7148/2015-0601
  28. Szominski, S; Plichta, A. "Mobile Robot Navigation Algorithms Based On Stereovision". 2015.
    10.7148/2015-0581
  29. Herrmann, F. "Perturbation In Local Search For Scheduling". 2015.
    10.7148/2015-0446
  30. Mladenov, VM; Kirilov, SM. "Memristor Modeling In MATLAB & PSPICE". 2015.
    10.7148/2015-0432
  31. Grabis, J; Chandra, C. "Design And Simulation Of Process Improvement Scenarios". 2015.
    10.7148/2015-0359
  32. Lachezar Bozhkov; Petia Georgieva. "Classification Models of Emotional Biosignals Evoked While Viewing Affective Pictures". 2014.
    10.5220/0005104206010606
  33. 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
  34. 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
  35. Suarez, L.A.P.; Georgieva, P.; De Azevedo, S.F.. "Error tolerant MPC versus PI control - A crystallization case study". 2014.
  36. Georgieva, O.; Milanov, S.; Georgieva, P.. "Cluster analysis for EEG biosignal discrimination". 2013.
    10.1109/INISTA.2013.6577646
  37. Georgieva, P.; Silva, F.; Figueiredo, N.. "Brain machine interface IEETA case study". 2012.
    10.1109/IS.2012.6335164
  38. Georgieva, P.; Mihaylova, L.; Bouaynaya, N.; Jain, L.. "Particle filters and beamforming for EEG source estimation". 2012.
    10.1109/IJCNN.2012.6252516
  39. Georgieva, P.; Feyo De Azevedo, S.. "Neural networks for model predictive control". 2011.
    10.1109/IJCNN.2011.6033208
  40. Ferreira, A.; Almeida, C.; Georgieva, P.; Tomé, A.. "Person identification using VEP signals and SVM classifiers". 2010.
    10.1109/IJCNN.2010.5596616
  41. Suárez, L.A.P.; Georgieva, P.; De Azevedo, S.F.. "Intelligent predictive control - Application to scheduled crystallization processes". 2009.
    10.1109/icais.2009.34
  42. 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
  43. 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
  44. 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
  45. 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
  46. Georgieva, P; de Azevedo, SF. "Application of Feed Forward Neural Networks in Modeling and Control of a Fed-Batch Crystallization Process". 2006.
  47. Galvanauskas, V.; Georgieva, P.; Feyo De Azevedo, S.. "Dynamic optimisation of industrial sugar crystallization process based on a hybrid (mechanistic+ANN) model". 2006.
  48. 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.
  49. 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.
  50. 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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. Santos, Fábio Miguel Tomaz dos. "Deep learning for multi-class skin lesion diagnosis". (2020): http://hdl.handle.net/10773/29604.
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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.
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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.
  23. 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
  24. 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
  25. 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.
  26. 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
  27. 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.
  28. 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
  29. 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.
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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.
  40. 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.
  41. 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
  42. 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
  43. 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. 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
  2. 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
  3. 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
  4. José Domingues; Bernardo Lopes; Petya Mihaylova; Petia Georgieva. "Incremental Learning for Football Match Outcomes Prediction". 2019.
    10.1007/978-3-030-31321-0_19
  5. 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
  6. 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
  7. 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
Livro
  1. Armando J. Pinho; Petia Georgieva; University of Porto; Joan Andreu Sánchez. Pattern Recognition and Image Analysis. 2022.
  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
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.