Petia Georgieva

Position	Aux. professor
Affiliation	DETI / University of Aveiro
Group	Intelligent Robotics and Systems
Status	Researcher with PhD
Country	Portugal
Students	Petya Mihaylova
Former PhD students	Lachezar Bozhkov, Luis Alberto Paz Suárez, Nuttapod Nuntalid
Former masters students	Show list
Courses	Control Systems, Introduction to Signal Processing, Laboratórios de Informática, Machine Learning
Projects
Past projects	FCTDAAD
Events
Proposals
ORCID	0000-0002-6424-6590
Personal page	http://sweet.ua.pt/petia

Publications

Books

• V. Mladenov, G. Spasov, Petia Georgieva, G. Petrova. Proceedings of the 29th European Conference on Modelling and Simulation. European Council for Modelling and Simulation, May 2015
• Petia Georgieva, L. Mihaylova, L. Jain. Advances in Intelligent Signal Processing and Data Mining: Theory and Applications. Springer, July 2012

Articles in international journals listed in the ISI

• A. R. Caseiro, G Ivanova, S. S. Pedrosa, M. V. Branquinho, Petia Georgieva, A. P. P. Barbosa; J. D. Santos; T. Pereira; A. C. Maurício. Human Umbilical Cord Blood Plasma as an Alternative to Animal Sera for Mesenchymal Stem Cells In vitro Expansion for Clinical Applications – A Multicomponent Metabolomic Analysis. PLoS ONE, October 2018 [IF 2017: 2.766 (Q1, 15/64)]
• Vitor Pereira, Filipe Tavares, Petya Mihaylova, Valeri Mladenov, Petia Georgieva. Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions. Complexity, vol. 2018, p. 8, March 2018
• Lachezar Bozhkov, Petia Koprinkova-Hristova, Petia Georgieva. Reservoir Computing for Emotion Valence Discrimination from EEG signals. Neurocomputing, vol. 231, p. 28-40, March 2017
• Lachezar Bozhkov, P. Koprinkova-Hristova, Petia Georgieva. Learning to decode human emotions with Echo State Networks. Neural Networks, vol. 78, p. 112-119, June 2016 [IF 2016: 5.287 (Q1, 10/133)]
• Petia Georgieva, Nidhal Bouaynaya, Filipe Silva, Ludmila Mihaylova, Lakhmi Jain. A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources. IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 3, p. 880-892, May 2016 [IF 2016: 3.451 (Q1, 20/146)]
• O. Georgieva, S. Milanov, Petia Georgieva, I.M. Santos, A.T.Pereira, C. F. da Silva. Learning to decode human emotions from ERPs. Neural Computing & Applications, vol. 26, no. 3, p. 573-580, April 2015 [IF 2015: 1.492 (Q2, 63/130)]
• Georgieva O., Milanov S., Petia Georgieva. Unsupervised EEG Biosignal Discrimination. Int. Journal of Reasoning-Based Intelligent Systems (IJRIS), vol. 6, no. 3/4, p. 118-125, November 2014
• Ana Maria Tomé, Ana Rita Teixeira, Nuno Figueiredo, I. M. Santos, Petia Georgieva, Elmar W. Lang. SSA of biomedical signals: A linear invariant systems approach. Statistics and Its Interface, vol. 3, no. 3, p. 345-355, September 2010 [IF 2010: 0.474]
• L. A. Paz Suárez, Petia Georgieva, Sebastião Feyo de Azevedo. Nonlinear MPC for fed-batch multiple stages sugar crystallization. IChemE Chemical Engineering Research and Design, vol. 89, no. 6, p. 753-767, June 2010 [IF 2010: 1.519]
• Cristina Oliveira, Petia Georgieva, Fernando Rocha, Sebastião Feyo de Azevedo. Artificial neural networks for modeling in reaction process systems. Neural Computing & Applications, vol. 18, no. 1, p. 15–24, January 2009 [IF 2009: 0.812]
• Cristina Oliveira, Petia Georgieva, Fernando Rocha, António Ferreira, Sebastião Feyo de Azevedo. Dynamical model of brushite precipitation. Journal of Crystal Growth, vol. 305, no. 1, p. 201–210, July 2007 [IF 2007: 1.950, 1.950, 1.950, 1.950]
• A. Simoglou, Petia Georgieva, E. B. Martin, A. J. Morris, Sebastião Feyo de Azevedo. On-line monitoring of a sugar crystallization process. Computers & Chemical Engineering, vol. 29, no. 6, p. 1411-1422, May 2005
• I. S. Baruch, Petia Georgieva, J. Barrera-Cortes, Sebastião Feyo de Azevedo. Adaptive recurrent neural network control of biological wastewater treatment. International Journal of Intelligent Systems, vol. 20, no. 2, p. 173-193, February 2005
• Petia Georgieva, M. J. Meireles, Sebastião Feyo de Azevedo. Knowledge-based hybrid modelling of a batch crystallisation when accounting for nucleation, growth and agglomeration phenomena. Chemical Engineering Science, vol. 58, no. 16, p. 3699-3713, August 2003

Other articles in journals

• R. Ilieva, Petia Georgieva, S. Petrova. Brain Data Analysis and Management. GISAP: Medical Science Pharmacology, no. 7, p. 31-37, November 2015
• Lachezar Bozhkov, Petia Georgieva, I. Santos, A. Pereira, C. Silva. EEG-based subject independent affective computing models. Procedia Computer Science, p. 375-382, August 2015
• Petia Georgieva, Filipe Silva, Nuno Figueiredo. IEETA Brain Computer Interface Technologies. International Journal of Computational Intelligence Studies (IJCIS), vol. Special Issue on "Contemporary Multiagent and other Intelligent Applications", November 2013
• N. F. Capela, Petia Georgieva. Aplicação de técnicas de aprendizagem automática para classificação de emoções humanas com sinais de EEG. Electrónica e Telecomunicações, vol. 5, no. 4, p. 391-399, December 2012
• Ana Maria Tomé, Ana Rita Teixeira, António J. S. Teixeira, G.Miguel, Petia Georgieva, Elmar W. Lang. Linear Invariant Systems Theory for Signal Enhancement. Electrónica e Telecomunicações, vol. 5, no. 3, p. 290-294, June 2011

Chapters in books

• G. Ivanova, T. Pereira, A.R. Caseiro, Petia Georgieva, A.C. Maurício. Metabolomic and Proteomic Analysis of the Mesenchymal Stem Cells’ Secretome. Metabolomics - Fundamentals and Applications, Jeevan K. Prasain (Ed.), Intech -Open Access Publisher, December 2016
• Petia Georgieva, Filipe Silva, M. Milanova, N. Kasabov. EEG Signal Processing for Brain Computer Interfaces. Springer Handbook of Bio-/Neuroinformatics, Nikola Kasabov (Ed.), Springer, October 2014
• Petia Georgieva, S. Feyo de Azevedo. Error Tolerant Predictive Control based on Recurrent Neural Models. Computational Intelligence Paradigms in Control Systems Engineering, Lakhmi Jain; Petia Koprinkova-Hristova; Valentina Emilia Balas (Ed.), Springer, May 2014
• Petia Georgieva, L. Mihaylova, Filipe Silva, M. Milanova, Nuno Figueiredo, Lakhmi C. Jain. A Sequential Monte Carlo Approach for Brain Source Localization. Advances in Intelligent Signal Processing and Data Mining: Theory and Applications, Springer, vol. 410, p. 119-138, December 2013
• Luis A. Paz Suárez, Petia Georgieva, Sebastião Feyo de Azevedo. Model Predictive Control Strategies for Batch Sugar Crystallization Process. Advanced Model Predictive Control, Tao Zheng (Ed.), INTECH, vol. ISBN: 978-953-307-298-2, p. 225-244, 2011
• Nuno Figueiredo, Filipe Silva, Petia Georgieva, Ana Maria Tomé. Advances in Non-Invasive Brain-Computer Interfaces for Control and Biometry. Recent Advances in Brain-Computer Interface Systems, Reza Fazel (Ed.), INTECH, p. 171-192, February 2011
• Petia Georgieva. Instrumentation and Process Control – Intelligent Process Control. Encyclopedia of Dairy Sciences, Elsevier, vol. Second Edition, February 2011
• Petia Georgieva, L. A. Paz Suárez, Sebastião Feyo de Azevedo. Time Accounting Artificial Neural Networks for Biochemical Process Models. Intelligent Systems: From Theory to Practice, V. Sgurev et al. (Ed.), Springer Berlin / Heidelberg, p. 181-199, 2010
• Petia Georgieva, Sebastião Feyo de Azevedo. Novel computational methods for modeling and control in chemical and biochemical process systems. Comp. Intelligence Techniques for Bioprocess Modelling, Supervison and Control, M. do Carmo Nicoletti, L. C. Jain (Ed.), Springer Berlin / Heidelberg, p. 99-125, 2009

Articles in conference proceedings

• Marcos Pires, Petia Georgieva. An intelligent tool for detection of phishing messages. 10th Int Conf on Soft Computing and Pattern Recognition (SoCPaR 2018), Porto, Portugal, http://www.mirlabs.net/socpar18/, vol. Springer Proceedings, December 2018
• Petia Georgieva. Deep learning in brain imaging (plenary lecture). 10th Int Conference on Soft Computing and Pattern Recognition (SoCPaR 2018), Porto, Portugal , http://www.mirlabs.net/socpar18/speakers.php, vol. Springer Proceedings, December 2018
• Diogo Carneiro, Filipe Silva, Petia Georgieva. Learning Anticipation Skills for Robot ball Catching. Proceedings of 24th Portuguese Conference on Pattern Recognition, RecPad 2018, Coimbra, Portugal, October 2018
• C. Gonçalves, D. Belo, L. Almeida, M. Ramos, M. Jordão, Petia Georgieva. QBER Compensation due to Polarization Drift using Quantum Machine Learning. Proceedigns of the 24th Portuguese Conference on Pattern Recognition, RecPad 2018, Coimbra, Portugal, October 2018
• D. Nikolova, Petya Mihaylova, A. Manolova, Petia Georgieva. ECG-based Emotion Recognition: Overview of Methods and Applications. Advances in Neural Networks and Applications (ANNA), St. St. Konstantin and Elena Resort, Bulgaria, September 2018
• Petya Mihaylova, R. Trifonov, B. Jekov, Petia Georgieva. Data Analytics for Home Air Quality Monitoring. 5th Int. Conf. on Mathematics and Computers in Sciences and Industry, Corfu, Greece, August 2018
• Lachezar Bozhkov, Petia Georgieva. Overview of Deep Learning Architectures for EEG-based Brain Imaging. IEEE World Congress on Computational Intelligence (WCCI)- IJCNN, Rio de Janeiro, Brazil, July 2018
• Diogo Carneiro, Filipe Silva, Petia Georgieva. The Role of Early Anticipations for Human-Robot Ball Catching. IEEE International Conference on Autonomous Robot Systems and Competitions (ICARS), Torres Vedras, Portugal, 25-27 April, 2018, April 2018
• P. Tomé, J. Sanson, Petia Georgieva. Enabling MIMO Beamforming through compressed CSI feedback based on Principal Component Analysis. Proceedings of the 23th Portuguese Conf. on Pattern Recognition, RECPAD 2017, Lisbon, Portugal, October 2017
• H. Fragata, M. Pires, Petya Mihaylova, Petia Georgieva. Prediction of client subscription to a term deposit. Proceedings of the 23th Portuguese Conference on Pattern Recognition, RecPad 2017, October 2017
• N. DeCicco, K. Napolitano, R. Trafford, Petia Georgieva, N. Bouaynaya, R. Polikar. Circular Path Autopilot Navigation System. IEEE 4th International Conference on Control Engineering & Information Technology (IEEE CEIT), Dec. 16-18, 2016, Hammamet, Tunisia., December 2016
• K. Heaning, S. Sohail, W. Kerbel, R. Trafford, Petia Georgieva, N. Bouaynaya, R. Polikar. Dual Axis Solar Panel Control System. IEEE 4th Int Conf on Control Engineering & Information Technology (IEEE CEIT), December 16-18, 2016, Hammamet, Tunisia, December 2016
• N. Amor, N. Bouaynaya, Petia Georgieva, R. Shterenberg, S. Chebbi. EEG Dynamic Source Localization using Constrained Particle Filtering. IEEE Symposium Series on Computational Intelligence (IEEE SSCI’16), 6-9 Dec 2016, Athens, Greece, December 2016
• Petia Georgieva. Source-based Brain Computer Interfaces (tutorial). International Congress on Neuro-technology Electronics and Informatics –NEUROTECHNIX, Porto, Portugal, 7-8 Nov, 2016, November 2016
• Petia Georgieva. Brain Computer Interfaces (invited tutorial). IEEE International Conference on Intelligent Systems IS’16, 4-6 Sept, Sofia, Bulgaria, September 2016
• K. Georgieva, Petia Georgieva, O. Georgieva, M.J. Ribeiro, J.S. Paiva. Regression Approach for Automatic Detection of Attention Lapses. IEEE International Conference on Intelligent Systems (BEST PAPER AWARD), 4-6 Sept, Sofia, Bulgaria, September 2016
• Petia Georgieva, P. Dinkova, A. Manolova, M. Milanova. Face Recognition Based on Subject Dependent Hidden Markov Models. IEEE International Black See Conference on Communications and Networks, 6-9 June, 2016, Varna, Bulgaria, June 2016
• Ebinger B., N. Bouaynaya, Petia Georgieva, L. Mihaylova. EEG Dynamic Source Localization using Marginalized Particle Filtering. IEEE Int. Conf. on Bioinformatics and Biomedicine (IEEE ICBB), Washington D.C., USA, November 2015
• J. Stoyanova, Petia Georgieva, M. Milanova, P. Q. Brito. Comparison of consumer purchase intention between interactive and Augmented Reality shopping platforms through statistical analyses. IEEE Int. Symposium on INnovations in Intelligent SysTems and Applications (IEEE INISTA 2015), Madrid, Spain, vol. DOI: 10.1109/INISTA.2015.7276727, p. 62-69, September 2015
• D. Duarte, S. Prats, J. Keizer, Petia Georgieva, R.N. Nogueira, L. Bilro. Novel approach for simultaneous sediment classification and concentration determination of water turbidity. 24th Int Conf on Optical Fibre Sensors, Curitiba, Brazil, 28/Sept-2/Oct 2015, vol. 9634, p. doi:10.1117/12.2194578, September 2015
• ...further results