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Romania
Citizenship:
Ph.D. degree award:
Silvia
Curteanu
-
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Researcher | Teaching staff
Web of Science ResearcherID:
D-7347-2011
Personal public profile link.
Expertise & keywords
Artificial inteligence
Neural network
Evolutionary algorithms
Modeling
otimisation
Modelling
Optimization
Projects
Publications & Patents
Entrepreneurship
Reviewer section
From human to virus. Optimization algorithms with chemical engineering applications
Call name:
P 4 - Proiecte de Cercetare Exploratorie, 2020
PN-III-P4-ID-PCE-2020-0551
2021
-
2023
Role in this project:
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Affiliation:
Project website:
http://pce-91-2021.info
Abstract:
The project goal is to develop advanced modelling and optimization methodologies based on biologically-inspired algorithms, as a new software product and improved algorithms, with a high-level of novelty and complexity. The main topics are: 1) Algorithms inspired from the human behaviour of learning and cooperation, 2) Algorithms inspired from human competitive behaviour, 3) Algorithms inspired from virus behaviour. Starting from a series of basic variants of some representative components from the specified classes, new, improved variants will be created, by modifications performed on the algorithms (introducing different mechanisms and operators) or by hybridizations with other algorithms (made locally or globally), applying an original automated software methodology.
The association of optimization algorithms with different models (neural networks, support vector machines etc.) determines the obtaining of complete modelling and optimization methodologies, within which the selected optimizers perform both the optimization of the model and of the process. The case studies selected in the field of polymerization processes represent consistent applications of the implemented algorithms.
This proposal, having an interdisciplinary character, is supported by a team of computer scientists and chemical engineers, working on the interface of the two fields, artificial intelligence - chemistry, with competence and experience in both areas.
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Biologically-inspired algorithms developed for modelling and optimization of complex chemical processes
Call name:
P 4 - Proiecte de Cercetare Exploratorie
PN-III-P4-ID-PCE-2016-0322
2017
-
2019
Role in this project:
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Project website:
http://www.ascchemis.ro/PN_III_51/
Abstract:
The main goal of this proposal is to develop advanced methodologies for modelling and optimization based on biologically-inspired algorithms, as new software products and improved algorithms, with a high-level of novelty and complexity. The tools used for modelling are Artificial Neural Networks, Support Vector Machines and Instance-based regression models. For the optimization procedures, methods based on evolutionary (namely, Differential Evolution algorithm), swarm intelligence (Group Search Optimizer, Differential Search) and Bacteria behavior-Inspired algorithms are chosen. The original and novel elements consist in the development of new variants for optimization algorithms, combinations between them, elaboration of complete methodologies for modelling and optimization, and their applications to different chemical engineering processes. Polymerization processes, with phenomenology not fully clarified, are addressed as case studies, expecting that the obtained predictions to provide useful information for experimental and industrial practice.
The proposal is supported by a team of computer scientists and chemical engineers, working on the interface of the two fields, artificial intelligence – chemical engineering, with competence and experience in both areas.
Publishing the results in high level journals is an essential goal of the project, meaning the international visibility of our work. Also, the software products, registered with the Romanian Office for Copyrights, will represent important achievements for this project.
The new variants of the algorithms, the hybrid configurations of the artificial intelligence tools, and the use of bio-inspired modelling and optimization methodologies for chemical processes can be considered as new approaches, which open new fruitful directions of research and applications in this field.
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Software products based on artificial intelligence algorithms applied to modelling and optimization of chemical systems
Call name:
Joint Applied Research Projects - PCCA-2011 call, Type 2
PN-II-PT-PCCA-2011-3.2-0732
2012
-
2016
Role in this project:
Project coordinator
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO); UNIVERSITATEA POLITEHNICA TIMIŞOARA (RO); ROMUS TRADING & DEVELOPMENT SRL (RO)
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO)
Project website:
http://proiecte.romus.com/proiecte/uti/web/web_home.php?lang=ro
Abstract:
- The main goal of this project is to obtain new software products which implement advanced modeling, optimization and control methodologies based on artificial intelligence tools (neural networks, evolutionary algorithms, fuzzy systems). These methodologies are applied to various complex processes selected from chemical engineering field, but they are designed in a such general and flexible manner that to be also useful for other processes and systems. The artificial intelligence tools are used individually or as soft computing hybrid configurations.
- The software products implementing the modeling, optimization, and control methodologies are the important deliverables of the project. An efficient technological transfer can be realized through activities performed by the partner software company.
- Besides the applied character, the present proposal has a fundamental research component being represented by a high level scientific research whose main results will be found in the published articles. The original and novel elements of this proposal are connected, mainly, to the development of new artificial intelligence algorithms, new variants and combinations among them, the elaboration of complete methodologies for modeling and optimal control and applications to various chemical processes, for which the phenomenological modeling is difficult to be applied.
-The project shall be developed as a partnership of two prestigious universities (Technical University "Gheorghe Asachi" of Iasi, as the project coordinator, and the University "Politehnica" of Timisoara), together with a software company (Romus Trading & Development SRL). The team proposed to fulfill the project objectives is composed of computer scientists and chemists working on the interface of the two fields, chemistry-artificial intelligence, with competence and experience in both areas.
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Corrosion predictions of titanium-based biomaterials with non-homogenous micro and nanostructured surfaces using neural networks
Call name:
Exploratory Research Projects - PCE-2011 call
PN-II-ID-PCE-2011-3-0218
2011
-
2016
Role in this project:
Coordinating institution:
Universitatea Tehnică „Gheorghe Asachi” din Iaşi
Project partners:
Universitatea Tehnică „Gheorghe Asachi” din Iaşi (RO)
Affiliation:
Universitatea Tehnică „Gheorghe Asachi” din Iaşi (RO)
Project website:
http://www.danielmareci.net
Abstract:
Titanium-based biomaterials have the two major drawback: 1) poor tribology properties, and 2) poor bioactivity. To improve tribological behavior and bioactivity a wide range of surface processing methods are actually in use. Among these methods the followings stand out: 1) thermochemical surface treatments, especially nitriding; 2) plasma spray coatings; 3) electrochemical/chemical methods (anodizing, electro-deposition, biomimetic etc). The project proposes a study regarding corrosion processes of new titanium based biomaterials with micro and nanostructured surfaces in simulated body fluids using procedures of artificial intelligence through simulation based on neural networks. Will be use new metallic biomaterials from titanium alloys as coating support. Several important chemical routes will be adopted to obtain micro and nanostructurated layers on their surface. Will be studied medical implants and compared from electrochemical point of view through in vitro systems under simulated physiological conditions. Then the data obtained will be modeling using artificial neural networks. In this way, new horizons and opportunities for research will be opened as regards: 1) development of new titanium alloys, 2) optimization of surface processing methods, and 3) understanding in depth of electrochemical processes that define the corrosion behavior in simulated body fluids.
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Softcomputing hybrid configurations with applications in chemistry
Call name:
ID_592
2007
-
2010
Role in this project:
Project coordinator
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Project website:
Abstract:
Read more
Modeling and automatic driving using artificial intelligence tools for applications in chemistry and process engineering
Call name:
PN II 71 – 006
2007
-
2010
Role in this project:
Project coordinator
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (); UNIVERSITATEA BABES BOLYAI (); UNIVERSITATEA PETROL GAZE PLOIESTI (); INSTITUTUL DE CHIMIE MACROMOLECULARA "PETRU PONI" (); ACADEMIA ROMÂNĂ - FILIALA IAŞI ()
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Project website:
Abstract:
Read more
Techniques of artificial intelligence applied to the synthesis and complexation processes of functionalized polysiloxanes
Call name:
GR 63 /2006, GR 80/2007, 77/2008
2006
-
2008
Role in this project:
Project coordinator
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Project website:
Abstract:
Read more
Multifunctional nanostructured silicone materials
Call name:
Project CEEX-MATNANTECH 52/2006
2006
-
2008
Role in this project:
Partner team leader
Coordinating institution:
INSTITUTUL DE CHIMIE MACROMOLECULARA "PETRU PONI"
Project partners:
INSTITUTUL DE CHIMIE MACROMOLECULARA "PETRU PONI" (RO)
Affiliation:
INSTITUTUL DE CHIMIE MACROMOLECULARA "PETRU PONI" (RO)
Project website:
https://icmpp.ro/grants/Maria%20Cazacu/Web_NANOSIMAT_engl_2009.pdf
Abstract:
Read more
Polymer nanostructured composite materials for use in environmental monitoring
Call name:
CEEX 10/2005
2005
-
2008
Role in this project:
Partner team leader
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Project website:
Abstract:
Read more
Use of neural networks and genetic algorithms in polymerization reaction engineering. Applications to modeling and optimizing the synthesis of polysiloxanes
Call name:
2004
-
2006
Role in this project:
Project coordinator
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Project website:
Abstract:
Read more
Automated control of the process of free radical polymerization of methyl methacrylate
Call name:
ANSTI 6177/2000, 6177/2001, 33479/2002
2000
-
2002
Role in this project:
Project coordinator
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Project website:
Abstract:
Read more
Modeling and simulation of free radical polymerization associated with gel and glass effects
Call name:
MEN 53/1998, 6/1999, 22/2000
1998
-
2000
Role in this project:
Project coordinator
Coordinating institution:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI
Project partners:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Affiliation:
UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI ()
Project website:
Abstract:
Read more
FILE DESCRIPTION
DOCUMENT
List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects
[T: 0.4888, O: 288]