Silvia Curteanu

 

Prof. Dr.Ing. Silvia Curteanu


"Gheorghe Asachi" Technical University of Iasi
Faculty of Chemical Engineering and Environmental Protection
Department of Chemical Engineering
Str. Prof. dr. docent Dimitrie Mangeron, nr. 73, 700050, Iaşi, România
Phone: +40-232-278683 int 2358 (office)

silvia_curteanu@yahoo.com



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Personal information

Profesional experience

Research interest

Publications

Papers

Books

Patents

Awards

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Doctoral students

Research contracts and grants

Awards for scientific activity

Paper awarded by (UEFISCDI) -The Executive Agency for Higher Education Research Development and Innovation Funding

 

  1. “Predictions of ocular changes caused by diabetes in glaucoma patients”, Nicoleta Anton Apreutesei, Filip Tircoveanu, Alina Cantemir, Camelia Bogdanici, Cătălin Lisa, Silvia Curteanu* and Dorin Chiseliţă, Computer Methods and Programs in Biomedicine, 154, 183-190, 2018.

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  2. “Phase Equilibrium and Physical Properties of Aqueous Mixtures of Poly (vinyl pyrrolidone) with Trisodium Citrate, Obtained Experimentally and by Simulation”, Mohsen Pirdashti, Kamyar Movagharnejad, Poorya Mobalegholeslam, Silvia Curteanu, Florin Leon, Journal of Molecular Liquid, 223, 903-920, 2016.

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  3. “On the use of Differential Evolution algorithm for solving chemical engineering problem”, Elena Niculina Drăgoi, Silvia Curteanu, Reviews in Chemical Engineering, Volume: 32 Issue: 2 Pages: 149-180, 2016.

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  4. “Neural network modeling of the preparation process of a siloxane-organic polyazomethine”, Ioan Florin Macsim, Elena Niculina Dragoi, Maria Cazacu, Silvia Curteanu, Journal of Applied Polymer Science, vol. 132, issue 38, 2015.

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  5. “Prediction of corrosion resistance of some dental metallic materials applying artificial neural networks and regression based models”, Romeu Chelariu, Gabriel Dan Suditu, Daniel Mareci, Georgiana Bolat, Nicanor Cimpoesu, Florin Leon, Silvia Curteanu, JOM The journal of the minerals, metals & materials society, Volume 67, Issue 4 (2015), Page 767-774, 2015.

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  6. “Prediction of partition coefficients of guanidine hydrochloride in PEG - phosphate systems using neural networks developed with differential evolution algorithm”, Mohsen Pirdashti, Kamyar Movagharnejad, Silvia Curteanu, Elena Niculina Dragoi, Farshad Rahimpour, Journal of Industrial and Engineering Chemistry, vol. 27, pp. 268-275, 2015.

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  7. “Modelling the influence of pH, fluoride, and caffeine on the corrosion resistance of TiMo alloys by artificial neural networks developed with differential evolution algorithm”, Daniel Mareci, Elena-Niculina Dragoi, Georgiana Bolat, Romeo Chelariu, Doina Gordin, Silvia Curteanu, Materials and Corrosion, Volume 66, Issue 9, pages 982–994, 2015.

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  8. „Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms”, Raluca Maria Hlihor, Mariana Diaconu, Florin Leon, Silvia Curteanu, Teresa Tavares and Maria Gavrilescu, New Biotechnology, Volume 32, Number 3, pag. 358-368 2015.

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  9. “Neural networks and differential evolution algorithm applied for modelling the depollution process of some gaseous streams”, Silvia Curteanu, Gabriel Dan Suditu, Adela Marilena Buburuzan, Niculina Elena Dragoi, Environmental Science and Pollution Research, Volume 21, Issue 22, Pages 12856-12867, 2014.

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  10. “Grey and black-box modelling based on neural networks and artificial immune systems applied to solid dissolution by rotating disc method”, Elena Niculina Dragoi, Cristian Andrei Horoba, Ioan Mamaliga, Silvia Curteanu, Chemical Engineering and Processing: Process Intensification, vol. 82, pages 173-184, 2014.

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  11. “Electro-oxidation method applied for activated sludge treatment: experiment and simulation based on supervised machine learning methods”, Silvia Curteanu, Kazem Godini, Ciprian George Piuleac, Ghasem Azarian, Ali Rahmani, Cristina Butnariu, Industrial & Engineering Chemistry Research, vol. 53, issue 12, pages: 4902-4912, 2014.

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  12. “Naphthalene sublimation. Experiment and optimisation based on a neuro-evolutionary methodology”, Silvia Curteanu, Mirela Smarandoiu, Doina Horoba, Florin Leon, Journal of Industrial and Engineering Chemistry, Volume: 20 Issue: 4 Pages: 1608-1611, 2014.

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  13. „Neural networks applied in chemistry. II. Neuro-evolutionary techniques in process modeling and optimization”, Hugh Cartwright, Silvia Curteanu, Industrial & Engineering Chemistry Research, vol. 52, issue 36, pages: 12673-12688, 2013.

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  14. „Neuro-evolutionary approach applied for optimizing the PEMFC performance”, Silvia Curteanu, Ciprian George Piuleac, J.J. Linares, P. Caniyares, M.A. Rodrigo, J. Lobato, International Journal of Hydrogen Energy, volume 39, issue 8, pp. 4037 – 4043, 2014.

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  15. “Photodegradation process of eosin Y using ZnO/SnO2 nanocomposites as photocatalysts. Experimental study and neural network modeling”, Diana Tanasa, Ciprian-George Piuleac, Silvia Curteanu, Evelini Popovici, Journal of Materials Science, vol. 48, nr. 22, 8029-8040, 2013.

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  16. “Artificial Neural Networks: Applications in Chemical Engineering”, Mohsen Pirdashti, Silvia Curteanu, Mehrdad Hashemi Kamangar, Mimi H. Hassim, Mohammad Amin Khatami, Reviews in Chemical Engineering, 29 (4) (2013) 205-239, 2013.

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  17. "Neuro-evolutionary optimization methodology applied to the synthesis process of ash based adsorbents", Silvia Curteanu, Gabriela Buema, Ciprian George Piuleac, Daniel Mircea Sutiman, Maria Harja, Journal of Industrial and Engineering Chemistry, vol 20, issue 2, pages 597-604, 2013.

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  18. “Prediction of liquid – crystalline property using support vector machine classification”, Cristina Butnariu, Catalin Lisa, Florin Leon, Silvia Curteanu, Journal of Chemometrics, no.27, 179-188, 2013.

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  19. “Evaluation of the corrosion resistance of new TiZr binary alloys by experiment and simulation based on regression model with incomplete data”, Daniel Mareci, Daniel Sutiman, Romeu Chelariu, Florin Leon, Silvia Curteanu, Corrosion Science, vol. 73, p. 106 – 122, 2013.

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  20. “Neuro-evolutionary modeling of the electrodeposition stage of a polymer-supported ultrafiltration - electrodeposition process for the recovery of heavy metals”, Javier Llanos, Manuel A. Rodrigo, Pablo Cañizares, Renata Popa Furtuna, Silvia Curteanu, Environmental Modelling & Software, 42, 133-142, 2013.

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  21. „Optimization methodology based on neural networks and self-adaptive differential evolution algorithm applied to an aerobic fermetation process”, Elena-Niculina Drăgoi, Silvia Curteanu, Anca-Irina Galaction, Dan Caşcaval, Applied Soft Computing, volum 13 (numar 1), pp. 222-238, 2013.

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  22. „Freeze-drying modeling and monitoring using a new neuro-evolutive technique”, Elena-Niculina Drăgoi, Silvia Curteanu, Davide Fissore, Chemical Engineering Science, vol. 72, pag. 195-204, 2012.

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  23. “A neuro-evolutive technique applied for predicting the liquid crystalline property of some organic compounds”, Elena Niculina Drăgoi, Silvia Curteanu, Cătălin Lisa, Engineering Optimization, vol. 44, numar 10, 1261-1277, 2012.

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  24. „Multi-objective Optimization of a Stacked Neural Network Using NSGA-II-QNSNN Algorithm”, Renata Furtună, Silvia Curteanu, Florin Leon, Applied Soft Computing, Volume 12, Issue 1, pages 133-144, 2012.

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  25. „Modeling of oxigen mass transfer in the presence of oxygen-vectors using neural networks developed by differential evolution algorithm ”, Elena-Niculina Dragoi, Silvia Curteanu, Florin Leon, Anca-Irina Galaction, Dan Cascaval, Engineering Applications of Artificial Intelligence, vol. 24, p. 1214-1226, 2011.

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  26. „Modeling of electrolysis process in wastewater treatment using different types of neural networks”, Silvia Curteanu, Ciprian George Piuleac, Kazem Godini, Ghasem Azaryan, Chemical Engineering Journal, vol. 1, 172, 267-276, 2011.
  27. „Neural networks applied in chemistry. I. Determination of the optimal topology of neural networks”, Silvia Curteanu, Hugh Cartwright, Journal of Chemometrics, 25, 527-549, 2011.

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  28. „Ferrocene derivatives thermostability prediction using neural networks and genetic algorithms”, Gabriela Lisa, Daniela Apreutesei Wilson, Silvia Curteanu, Catalin Lisa, Ciprian George Piuleac, Victor Bulacovschi , Thermochimica Acta, 521, 26-36, 2011.

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  29. “Covalent and ionic co-crosslinking – an original way to prepare chitosan – gelatin hydrogels for biomedical applications”, Anca Niculina Jătariu, Marcel Popa, Silvia Curteanu, Cătălina Anişoara Peptu, Journal of Biomedical Materials Research: Part A, Volume: 98A Issue: 3 Pages: 342-350, 2011.

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  30. An elitist non-dominated sorting genetic algorithm enhanced with a neural network applied to the multi-objective optimization of a polysiloxane synthesis process”, Renata Furtună, Silvia Curteanu, Florin Leon, Engineering Applications of Artificial Intelligence, 24, pag. 772-785, 2011.
  31. „Stacked neural network modeling applied to the synthesis of polyacrylamide-based multicomponent hydrogels”, Florin Leon, Ciprian George Piuleac, Silvia Curteanu, Macromolecular Reaction Engineering, Vol. 4 (9-10), 537-636, 2010.

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  32. “Applying soft computing methods to fluorescence modelling of the polydimethylsiloxane/silica composites containing lanthanum”, Silvia Curteanu, Alexandra Nistor, Neculai Curteanu, Anton Airinei, Maria Cazacu, Journal of Applied Polymer Science, vol. 117, 3160 – 3169, 2010.

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  33. „Ten steps modelling of electrolysis processes by using neural networks”, Ciprian George Piuleac, Manuel. Rodrigo, Pablo Cañizares,Silvia Curteanu, Cristina Sáez, Environmental Modelling & Software, Volume 25, Issue 1, Pages 74-81, 2010.

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  34. “The neural network based modelling of a PBI-based polymer electrolyte membrane fuel cell: effect of temperature”, Justo Lobato, Pablo Cañizares, Manuel A. Rodrigo, José J. Linares, Ciprian-George Piuleac, Silvia Curteanu , Journal of Power Source, 192 (1), 190-194, 2009.

 

Awards for articles presented at international scientific events

 

  1. „System identification methodology based on differential evolution algorithm and backpropagation (SADE-NN-2)”, Elena Niculina Drăgoi,Silvia Curteanu, EUROINVENT, European Exhibition of creativity and innovation, Mar 21, 2016, Gold medal.

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  2. „Optimization methodology based on an improved version of a self-adaptive differential evolution algorithm”, Elena Niculina Drăgoi, Silvia Curteanu, EUROINVENT, European Exhibition of creativity and innovation, Mar 21, 2016, Silver medal.

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  3. Bio-Inspired Based Modelling And Optimization Framework For Chemical Engineering Systems”, Elena-Niculina Dragoi, Silvia Curteanu, The 7th International Fair of Inventions and Practical Ideas INVENT-INVEST 2016, Iasi, 15-17 September 2016 (poster)

    4. Gold medal from Society of Romanian Inventors (SIR).

    Special award from the Romanian Association for Unconventional Technologies, Bucharest Branch. Gold medal

    http://sir-inventica.ro/invent-invest-2016/#sidebar-header-secondary

     

  4. “Performance Comparison of Different Regression Methods for a polymerization Process with Adaptive Sampling”, Florin Leon, Silvia Curteanu, ICCISS 2016: 18th International Conference on Computational Intelligence and Systems Sciences, Prague, Czech Republic on October, 6-7, 2016. Certificate: "Best Paper Award" by the Program Committee as per the Conference Awards Scheme.

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  5. „Large margin nearest neighbor regression algorithm”, Florin Leon, Victor Gavriluta, Silvia Curteanu, International Fair of Inventions and Business Ideas Invent – Invest, November 12-15 2017, Ungheni, Republic of Moldova. Diploma of Excellence and Silver Medal.

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  6. „Clonal selection based optimiyation for engineering systems”, Elena Niculina Drăgoi, Silvia Curteanu, International Fair of Inventions and Business Ideas Invent – Invest, November 12-15 2017, Ungheni, Republic of Moldova. Diploma of Excellence and Gold Medal.

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  7. “Nearest Neighbor Regression Algorithms – new variants applied in chemical engineering”, Florin Leon, Silvia Curteanu, International Fair of Inventions and Business Ideas Invent INVENT-INVEST 2018, November 9-11, 2018, Chisinau, Republic of Moldova, Gold medal.

    8. http://sir-inventica.ro/eninvent-invest-2018/