CURTEANU SILVIA project manager

Transcription

1 CURTEANU SILVIA project manager Web page address: Contribution in project: neural network based modelling, optimization with evolutionary algorithms, soft computing applications in chemical engineering, project management. 1. Personal information Name and surname: CURTEANU Silvia Date and place of birth: September 2, 1957, Caracal, Olt. Present academic position: Professor with the Gheorghe Asachi Technical University of Iasi, Faculty of Chemical Engineering and Environmental Protection, Department of Chemical Engineering, Applied Informatics. Current address: Gheorghe Asachi Technical University of Iasi, Faculty of Chemical Engineering and Environmental Protection, Department of Chemical Engineering, Bd. D. Mangeron, no.73, Iasi. Phone number, address: , 2. Education PhD Diploma, Thesis: Modelling and simulation applied to free radical polymerization License in Chemical Engineering, Faculty of Industrial Chemistry, Technical University Gheorghe Asachi Iasi, Macromolecular compound technology, final grade after five years of study of 9.98 and diploma grade of 10 on the 1-10 scale Baccalaureate I. Barbu High School, Curtea-de-Arges. 1

2 3. Professional experience 2010 Research stage, Aristotle University of Thessaloniki, Greece, Faculty of Sciences, Department of Chemistry. Subject: applications of artificial intelligence methods to processes of environmental protection (experimental data from the Aristotle University laboratories) Research stage at Oxford University, Physical and Theoretical Chemistry Laboratory, England. Subject: neural networks and genetic algorithms applied in chemistry and biochemistry Training on transfer technological problems at WTSH (Wirtschaftsforderung und Technologietransfer Schleswig-Holstein, Business Development and Technology Transfer Corporation of Schleswig-Holstein), Kiel, Germany. Subject: strategies of technological transfer currently, PhD supervisor in Chemical engineering currently, professor with the Gheorghe Asachi Technical University of Iasi, Department of Chemical Engineering, Applied Informatics Laboratory , associate professor, Gheorghe Asachi Technical University of Iasi, Department of Chemical Engineering , lecturer, Gheorghe Asachi Technical University of Iasi, Department of Chemical Engineering , assistant, Gheorghe Asachi Technical University of Iasi, Department of Chemical Engineering, Computer programming and automation of processes in chemical industry , associate assistant, Faculty of Chemical Engineering, Department of Chemical Engineering, Technical University Gh. Asachi Iasi , researcher, Institute of Macromolecular Chemistry Petru Poni Iasi , working stage in industry, with the Holding of Chemical Rubber Technical Articles Jilava Bucharest and the Company of Plastics Processing, Iaşi. 4. Research interests In the last ten years, the research activity was focus on artificial intelligence tools (neural networks and evolutionary algorithms) used for modelling and optimization. Methodologies based on different types of neural networks, including stacked neural networks and hybrid models which combine neural networks with phenomenological ones, have been developed. 2

3 In order to optimize different complex chemical processes, methods based on classical algorithms, diverse variants of genetic algorithms, differential evolutions and hybrid algorithms have been used. The optimization problems were formulated with scalar or vectorial objective functions. A special optimization direction was represented by developing the optimal neural network topology. Methods based on genetic algorithms, differential evolution algorithms and evolutionary algorithms, combined with local search methods, were used. New research directions are in progress: applications of fuzzy logic in chemical engineering, Membrane computing, DNA computing, Artificial Immune algorithms (particularly, clonal selection algorithm). New software products being registered as patents were developed for neural network modelling and multi-objective optimization. The modelling and optimization methodologies have been applied on various processes selected from chemical engineering field: polymerization processes, bio-processes, electrochemical processes, and other physico-chemical processes as the titles of the published papers show. 5. Other academic activities - Expert of level A on long term / tutor for the post-doctoral contract Performance in postdoctoral studies for the integration within the European research field (PERFORM-ERA) ID No , Expert of level A on long term for the project "DOCTORAL SCHOLARSHIPS FOR PERFORMANCE IN RESEARCH AT EUROPEAN LEVEL (EURODOC)" - ID No , concluded with the Managing Authority for Operational Program for the Human Resources Development (AMPOSDRU), Expert of level A on long term for the contract Doctoral Scholarships - An investment in intelligence (BRAIN) No ID 6681, No , Executive Director of the Doctoral School with the Faculty of Chemical Engineering and Environmental Protection, Technical University of Iasi, for the period Reviewer of books and articles with the Zentralblatt fur Mathematik, FIZ Karlsruhe GmbH, Germany, since Scientific reviewer for the published papers in abroad journals such as: International 3

4 Journal of Quantum Chemistry, Journal of Polymer Engineering, Chemical Engineering Science, Industrial & Engineering Chemistry Research, Journal of Applied Polymer Science, Macromolecular Reaction Engineering, Journal of Hazardous Materials, International Journal of Chemical Reactor Engineering, Macromolecular Theory and Simulation, Chemical Engineering Journal, Scientific Research and Essays, Ain Shams Engineering Journal. - Expert evaluator for national grants. 6. PhD Thesis coordinated as supervisor PhD supervisor from 2005 in Chemical engineering field 4 graduated doctoral students, 6 doctoral students currently supervised. Examples of thesis finished or in progress: Artificial intelligence tools applied in chemical engineering and environment protection, Piuleac Ciprian, finished 30 September Artificial intelligence instruments used for modelling and optimization of some processes from siloxane chemistry, finished Nistor Alexandra, 29 September Applications of evolutionary algorithms for optimization of the chemical engineering processes, Furtuna Renata, finished 28 November Modelling and optimization methodologies based on neuro-evolutive techniques applied to chemical engineering processes, Dragoi Niculina finished 19 October Automated learning methods for classification of process parameters in chemical industry, Suditu Gabriel. Bio-inspired algorithms applied in chemical engineering, Ene Sorin Razvan. Soft-computing hybrid configurations applied in chemistry and process engineering, Butnariu Cristina. Soft-computing techniques applied for simulation of polymerization processes, Macsim Ioan Florin. 7. Selected publications Abbreviations: IF = Impact Factor, RS = Relative influence Score of the journal, PI-1 = Principal Investigator as paper s first author, PI-C = Principal Investigator as paper corresponding author. 4

5 Summary of the publications: Total no. of papers = 153; ISI indexed no. of papers = 109; BDI no. = 27; no. of papers in conference volumes = 16; no. of monographs = 17 (2 in abroad publishing houses); no. of patents = 10 (1 international patent); no. of contracts as project manager = 12; no. of contracts as execution member = 18; h-index = 9; Number of citations = 120 (without self-citations). Selected papers (after 2002) 1. 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 and Software, vol. 42, , (IF = 3.114, PI-C) 2. Neural network based modeling applied to a process of heavy metals removal from waste waters Gabriel Dan Suditu, Silvia Curteanu, Laura Bulgariu Journal of Environmental Science and Health, Part A: Toxic/Hazardous Substances and Environmental Engineering, vol. 48, nr. 11, p , (IF = 1.19, PI-C) 3. Optimization methodology based on neural network and genetic algorithm applied to electro-coagulation processes Ciprian-George Piuleac, Silvia Curteanu, Manuel A. Rodrigo, Cristina Sáez, Francisco Jesus Fernández Central European Journal of Chemistry, 11(7), , (IF = 0.991, RS = , PI-C). 4. 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 , DOI: /j.corsci (IF = 3.734, RS = , PI-C). 5. Prediction of liquid crystalline property using support vector machine classification Cristina Butnariu, Catalin Lisa, Florin Leon, Silvia Curteanu Journal of Chemometrics, DOI: /cem.2508, 2013 (IF = 1.952,PI). 6. "Neuro-evolutionary optimization methodology applied to the synthesis process of ash based adsorbents" 5

6 Silvia Curteanu, Gabriela Buema, Ciprian George Piuleac, Daniel Mircea Sutiman, Maria Harja Journal of Industrial and Engineering Chemistry, (IF = 1.977, PI). 7. Artificial Neural Networks: Applications in Chemical Engineering Mohsen Pirdashti, Silvia Curteanu, Mehrdad Hashemi Kamangar, Mimi H. Hassim, Mohammad Amin Khatami Reviews in Chemical Engineering, accepted paper, (ISI = în 2011, PI). 8. Modeling methodology based on artificial immune system algorithm and neural networks applied to removal of heavy metals from residual waters. Elena-Niculina Drăgoi, Gabriel Suditu, Silvia Curteanu Environmental Engineering and Management Journal, vol. 11, p , (IF = 1.17, RS = 0, PI-1) 9. Optimization methodology based on neural networks and self-adaptive differential evolution applied to an aerobic fermentation process. Elena-Niculina Drăgoi, Silvia Curteanu, Anca-Irina Galaction, Dan Cascaval Applied Soft Computing, vol. 3, p , (IF = 2.140, RS = 1.112, PI-1) 10. Freeze-drying monitoring using a soft-sensor based on Artificial Neural Networks Elena-Niculina Drăgoi, Silvia Curteanu, Davide Fissore Drying technology, vol. 31, p.72-81, (IF = 1.662, RS = , PI-1) 11. Application of a neuro-genetic technique in the optimization of heavy metals removal from wastewater for environment risk reduction Gabriel Dan Suditu, Ciprian George Piuleac, Laura Bulgariu, Silvia Curteanu Environmental Engineering and Management Journal, vol.12, no.1, , (IF = 1.17). 12. A neuro-evolutive technique applied for predicting the liquid crystalline property of some organic compounds Elena Niculina Drăgoi, Silvia Curteanu, Cătălin Lisa Engineering Optimization, DOI: / X , vol. 44, no. 10, , (IF = 0.902, RS = , PI-C). 13. Freeze-drying modeling and monitoring using a new neuro-evolutive technique. Elena-Niculina Drăgoi, Silvia Curteanu, Davide Fissore Chemical Engineering Science, DOI: /j.ces , vol. 72, p , (IF = 2.601, RS = 2.270, PI-1) 6

7 14. Multi-objective Optimization of a Stacked Neural Network Using NSGA-II-QNSNN Algorithm Renata Furtună, Silvia Curteanu, Florin Leon Applied Soft Computing, 12(1), , (IF = 2.084, RS = , PI-C). 15. Instance-Based Regression with Missing Data Applied to a Photocatalytic Oxidation Process Florin Leon, Ciprian-George Piuleac, Silvia Curteanu, Ioannis Poulios Central European Journal of Chemistry, 10(4), , DOI: /s x. (IF = 0.991, RS = , PI-C). 16. Hybrid Model of a Wastewater-Treatment Electrolytic Process Ciprian-George Piuleac, Cristina Sáez, Pablo Cañizares, Silvia Curteanu, Manuel Andrés Rodrigo International Journal of Electrochemical Science, vol. 7, issue 7, , (IF = 3.71). 17. Fuzzy modeling applied to optical and surface properties of a ferrocenylsiloxane polyamide solution Marius Pislaru, Silvia Curteanu, Maria Cazacu Central European Journal of Chemistry, 10(1), , (IF = 0.991, RS = , PI-C). 18. Multi-objective optimization of a stacked neural network used in modeling an electrolysis process Renata Furtuna, Ciprian George Piuleac, Silvia Curteanu Environmental Engineering and Management Journal, vol. 11, no. 9, , (IF = 1.17). 19. 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, DOI: /j.engappai , vol. 24, p , (IF = 1.344, RS = , PI-C). 20. Neural networks applied in chemistry. I. Determination of the optimal topology of neural networks Silvia Curteanu, Hugh Cartwright Journal of Chemometrics, 2011, DOI: /cem.1401, 25, , (IF = 1.291, RS = , PI-1). 21. Neural networks and elitist non-dominated sorting genetic algorithms used in multiobjective optimization of a polysiloxane synthesis process Renata Furtună, Silvia Curteanu, Florin Leon 7

8 Engineering Applications of Artificial Intelligence, DOI information: /j.engappai , 24, p , (IF = 1.344, RS = , PI-C). 22. 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, DOI: /j.cej , vol. 1, 172, p , (IF = 3.074, RS = , PI-1). 23. 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 (IF = 1.899, RS = ). 24. NSGA-II-JG applied to multiobjective optimization of polymeric nanoparticles synthesis with silicone surfactants Renata Furtună, Silvia Curteanu, Carmen Racleș Central European Journal of Chemistry, 9(6) 2011, , 2011 (IF = 0.991, RS = , PI-C). 25. 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, DOI: /jbm.a.33122, vol. 98A Issue: 3 Pages: , (IF = 3.4, RS = ). 26. Optimization methodology applied to feed-forward artificial neural network parameters Renata Furtună, Silvia Curteanu, Maria Cazacu International Journal of Quantum Chemistry, DOI /qua.22423, vol. 111, nr. 3, , (IF = 1.317, RS = , PI-C). 27. Neural networks based models applied to an electrocoagulation process Ciprian-George Piuleac, Renata Furtuna, Marius Pislaru, Silvia Curteanu Environmental Engineering and Management Journal, Vol.10, No.3, , (IF = 1.17). 28. Direct and inverse neural networks modelling applied to study the influence of the Gas Diffusion Layer properties on PBI-based PEM Fuel Cells Justo Lobato, Pablo Cañizares, Manuel A. Rodrigo, Ciprian-George Piuleac, Silvia Curteanu, José J. Linares. International Journal of Hydrogen Energy, 35, ,

9 (IF = 4.053, RS = ). 29. 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), , (IF = 1.701, RS = , PI-C). 30. 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, DOI: /app.32167, vol. 117, Issue 6, p , (IF = 1.187, RS = 1, PI-1). 31. Modeling methodology based on stacked neural networks applied to the photocatalityc decomposition of Triclopyr Ciprian George Piuleac, Ioannis Poulios, Florin Leon, Silvia Curteanu Separation Science & Technology, 45, , (IF = 1.139, RS = ). 32. Prediction of the liquid crystalline property using different classification methods Florin Leon, Catalin Lisa, Silvia Curteanu Molecular Crystals and Liquid Crystals, DOI: / , vol. 518, p , (IF = 0.537, RS = , PI-C). 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, DOI: /j.envsoft , vol. 25, Issue 1, p , (IF = 2.871, RS = ). 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), p , (IF = 3.792, RS = ). 35. The synthesis of polyacrylamide-based multicomponent hydrogels. A neural network modeling Silvia Curteanu, Anca Dumitrescu, Camelia Mihailescu, Bogdan C. Simionescu Journal of Macromolecular Science, Part A Pure and Applied Chemistry, A46(4), p , (IF = 0.720, RS = , PI-1). 9

10 36. Neural networks and genetic algorithms optimization of the photocatalytic degradation of alcian blue 8gx Florentina A. Caliman, Silvia Curteanu, Camelia Betianu, Maria Gavrilescu, Ioannis Poulios Journal of Advanced Oxidation Technologies (ACS), vol.11, no. 2, p , (IF = 0.599, RS = ). 37. "Neural network modeling applied to polyacrylamide based hydrogels synthetised by single step process" Silvia Curteanu, Anca Dumitrescu, Camelia Mihailescu, Bogdan Simionescu Polymer-Plastics Technology and Engineering, vol. 47, p , (IF = 0.497, RS = , PI-1). 38. Neural networks and genetic algorithms used for modeling and optimization of the siloxane-siloxane copolymers synthesis Silvia Curteanu, Maria Cazacu Journal of Macromolecular Science, Part A Pure and Applied Chemistry, A45(1), p , (IF = 0.720, RS = , PI-1). 39. Optimization strategy based on genetic algorithms and neural networks applied to a polymerization process Silvia Curteanu, Florin Leon International Journal of Quantum Chemistry, vol. 108, no.4, p , (IF = 1.317, RS = , PI-1). 40. Machine learning methods used to predict the liquid crystalline behavior of some copolyethers Florin Leon, Silvia Curteanu, Cătălin Lisa, Nicolae Hurduc Molecular Crystals and Liquid Crystals, vol. 469, p. 1-22, 200. (IF = 0.537, RS = , PI-C). 41. Hybrid neural network models applied to a free radical polymerization process Silvia Curteanu, Florin Leon Polymer-Plastics Technology and Engineering, vol.45, p , (IF = 0.497, RS = , PI-1). 42. Alternatives for Multiobjectives Optimization of a Polymerization Process Silvia Curteanu, Florin Leon, Dan Galea Journal of Applied Polymer Science, vol. 100, p , (IF = 1.187, RS = 1, PI-1). 43. Neural network based modeling for semi-batch and nonisothermal free radical polymerization Silvia Curteanu, Corneliu Petrila International Journal of Quantum Chemistry, vol. 106, no.6, p , (IF = 1.317, RS = , PI-1). 10

11 44. Direct and Inverse Neural Network Modeling in Free Radical Polymerization Silvia Curteanu Central European Journal of Chemistry, vol.2, no. 1, pag , (IF = 0.991, RS = , PI-1). 45. Modeling and Simulation of Free Radical Polymerization of Styrene under Semibatch Reactor Conditions Silvia Curteanu Central European Journal of Chemistry, vol.1, no.1, p , (IF = 0.991, RS = , PI-1). 46. Parametric Sensitivity of Free Radical Polymerization Associated with Gel and Glass Effects Corneliu Petrila, Silvia Curteanu Hungarian Journal of Industrial Chemistry, vol.30, no.1, pag , (IF = 0.294). 47. A Case Study for Optimal Reactor Networks Synthesis: Styrene Polymerization Rodica Diaconescu, Radu Z. Tudose, Silvia Curteanu. Polymer-Plastics Technology and Engineering, 41(2), p , (IF = 0.497, RS = , PI-1). 48. Neural network based predictions for the liquid crystal properties of organic compounds Cătălin Lisa, Silvia Curteanu Computer-Aided Chemical Engineering, 24, pag , si Volumul 17 th European Symposium on Computer Aided process Engineering, ESCAPE 17, mai, Bucuresti, Different methods for developing neural network topology applied to a complex polymerization process Silvia Curteanu, Florin Leon, Renata Furtună, Elena-Niculina Drăgoi, Neculai Curteanu 2010 IEEE World Congress on Computational Intelligence, IJCNN (International Join Conference of Neural Networks, July, Barcelona, Spania, 2010, IEEE Catalog Number: CFP10IJS DVD, ISBN: , p Selected books 1. Recent developments in silicone-based materials Chapter 7: Artificial Intelligence instruments applied in siloxane chemistry Silvia Curteanu Nova Science Publishers, Editor Maria Cazacu, ISBN: , 48 pag Artificial Neural Networks 11

12 Chapter 3: Different types of applications performed with different types of neural networks Silvia Curteanu Nova Science Publishers, editor Seoyun J. Kwon, ISBN: , 35 pagini, Patents 1. Obtaining method of some collagen hydroxylate compounds Nicolae Oiţă, Silvia Curteanu, Ion Negulescu, Carmen Chelaru Brevet nr / Healing drug Nicolae Oiţă, Silvia Curteanu, Maria Cojocaru, Mihai Lazăr Brevet 86417/ General purpose healing medicament consists of gelatin, collagen, hydrocortisone, alantoin and urea Patent Number(s): RO86417-A/1983. Assignee: INTR ANTIBIOTICE IA Inventor(s): Nicolae Oiţă, Silvia Curteanu, Maria Cojocaru, Mihai Lazăr (international patent). 4. Artificial Intelligence Toolbox. Neural Network Topology Silvia Curteanu, Florin Leon ORDA, no / Genetic algorithms. Multi-objective scalar optimization Florin Leon, Silvia Curteanu ORDA, no / Neural network stacks Florin Leon, Silvia Curteanu ORDA, no / Differential evolution algorithm for developing optimal topology of neural networks Elena-Niculina Drăgoi, Silvia Curteanu ORDA, no / Multi-objective evolutionary algorithm designed for optimization of a neural network stack. NSGA-II-QNSNN Renata Popa, Silvia Curteanu ORDA, no / Optimization methodology based on an improved version of self-adapting differential evolution algorithm, SADE-NN-1 12

13 Elena-Niculina Drăgoi, Silvia Curteanu ORDA, no. 1261/ Metodologie pentru identificarea sistemelor bazată pe algoritmul evoluție diferențială cu algoritmul învățare prin propagare înnapoi, SADE-NN-2 Elena-Niculina Drăgoi, Silvia Curteanu ORDA, no / Scientific contracts Selected contracts coordinated as project director 1. Nato Program Security Through Science Collaborative Linkage Grant, Technical University of Iasi as partner with Oxford University, UK, project with the title Rapid Detection and Classification of Chemicals using Artificial Intelligence, Bilateral project with University of Maribor, Slovenia, with the title Mathematical modeling of the biocatalytic processes in supercritical fluids using classical and advances tools, International project Cost FP0802, Experimental and Computational Micro- Characterization Techniques in Woods Mechanics, Working Group 3, Computational Modelling, Chair of action dr. Karin Hofstette, International project COST Action FP1006 Bringing new functions to wood through surface modification, member of working group WG 3: Process and Service life modeling, Chair of action dr. Stefanie Wieland, Optimal control for free radical polymerization of methyl methacrylate, Applications of neural networks and genetic algorithms in polymer reaction engineering, grant CERES, no. 4-22/2004, (project with 2 partners). 8. Artificial intelligence techniques applied to synthesis and complexing processes of functionalized polysiloxanes, grant CNCSIS, (project with 2 partners). 9. Modeling and optimal control based on artificial intelligence tools for chemical and process engineering applications, PN II, grant nr / , (project with 5 partners). 10. Soft computing hybrid configurations applied in chemistry, PCE ID_592, grant 59/ , Selected contracts as partner coordinator 13

14 11. Contributions to styrene free radical polymerization process through modeling and optimization, national project type CERES, no. 47/ , Multi-disciplinary researches in the information technology domain based on genetic algorithms, neural networks and fuzzy systems with applications in engineering and management, national project type CERES, no. 29/ , Multi-phases polymeric materials biodegradable, biocompatible, biological active, artificial motile systems applied in medicine and environmental protection. Simulation using artificial intelligence instruments, national project type CERES, no. 3-51/2003, Polymeric nanostructured composite materials used in environmental monitoring. Modeling and optimization with neural networks and genetic algorithms, national project type CEEX no. 10/ , Multifunctional nanostructured silicone materials. Artificial intelligence techniques applied to modeling and optimization of silicone materials, national project type CEEX no. 52/2006, subcontract 1, Behavioral Patterns Library for Intelligent Agents Used in Engineering and Management, PNII Project, IDEI, code 316/2008, contract no. 671/ , period: