BrainMap

Mrs. Adriana ALBU

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Assistant Professor - UNIVERSITATEA POLITEHNICA TIMIŞOARA

Researcher | Teaching staff | Scientific reviewer

Web of Science ResearcherID: U-5271-2017

Curriculum Vitae (12/09/2021)

Expertise & keywords

Early Detection of Cardiovascular Diseases Based on Genetic Features Call name:
PCD-TC-2021-10167 2021 - 2022

Role in this project: Project coordinator

Coordinating institution: UNIVERSITATEA POLITEHNICA TIMIŞOARA

Project partners: UNIVERSITATEA POLITEHNICA TIMIŞOARA ()

Affiliation: UNIVERSITATEA POLITEHNICA TIMIŞOARA ()

Project website:

Abstract:

The scope of this project is to create a decision-making system aimed to support medical field. It will facilitate, using genetic features of a patient, the early detection of cardiovascular diseases.

Advanced control systems for bioprocesses in food industry Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-0544 2014 - 2017

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA DIN CRAIOVA

Project partners: UNIVERSITATEA DIN CRAIOVA (RO); MOARA CALAFATULUI S.R.L. (RO); UNIVERSITATEA POLITEHNICA TIMIŞOARA (RO); UNIVERSITATEA "DUNAREA DE JOS" (RO)

Affiliation: UNIVERSITATEA POLITEHNICA TIMIŞOARA (RO)

Project website: http://www.ace.ucv.ro/adcosbio/

Abstract:

The significant improvement of performance and quality of products in a vital economic domain represented by the food industry can be done by using modern monitoring and control techniques. The project follows the recent research trends and it attempts to unify the team experience in order to apply the research results to bioprocesses in food industry, particularly to bread production and to related wastewater treatment processes.

Bioprocess modelling and control can be successfully achieved using interdisciplinary approaches from control engineering, biochemistry, applied mathematics and information technology. The bioprocesses are complex nonlinear systems, characterized by modelling uncertainties, interconnections, delays, and lack of cheap and reliable instrumentation. Taking into account the previous results obtained by the team in the field of applied automatic control, these interdisciplinary approaches will be used to develop advanced control systems that will be able to deal with the above mentioned specific problems of the bioprocesses.

Firstly, the project will develop advanced control techniques based on nonlinear algorithms (adaptive, predictive, sliding mode, neural, fuzzy, hybrid) for bioprocesses, in different control system structures. Secondly, it will implement, test and validate these techniques on processes in food industry, primary at mills and bread factories. Three main processes are envisaged: bread production, wheat grinding and flour processing, and wastewater treatment.

The main research objectives are:

1. Analysis and modelling of processes in food industry;

2. Development of novel estimation and identification techniques for bioprocesses;

3. Design of advanced control techniques for three classes of bioprocesses;

4. Implementation of advanced control systems for processes in food industry.

These objectives deal with several challenging topics, considered open problems by the Technical Committee on Biosystems & Bioprocesses of the International Federation of Automatic Control (IFAC). These scientific interdisciplinary problems can be investigated and can produce many original elements, and thus the Romanian research in the area can be highlighted.

The research product of the project will be a package of innovative procedures and technologies (algorithms, software and hardware) for bioprocess control, with direct applicability in food industry and wastewater treatment. The specific expected results are as follows: experimental models of fermentation and wastewater treatment bioprocesses, novel identification and estimation techniques (including software tools) for bioprocesses, innovative advanced control technologies, intelligent tuning algorithms for low-cost controllers, practical control solutions for industrial processes in food industry. The ADCOSBIO project is conceived in order to apply these research results in a real industrial environment; by using new control technologies, the processes in food industry can be significantly improved in terms of performance and quality. The applicability of the obtained results can be extended with minor costs to related areas, such as other bioprocesses in food industry (alcoholic and lactic fermentation, synthesis of enzymes) and to various chemical processes.

The research consortium is composed of four partners: three research organizations (University of Craiova - coordinator, “Politehnica” University of Timișoara, University “Dunărea de Jos” of Galaţi) with well known national and international experience in scientific and research area, and one enterprise (SC Moara Calafatului SRL), the biggest mill and bread production enterprise in south-region of Dolj County. The research teams are multidisciplinary, with specialists in control engineering, information technology, electrical engineering, biotechnology, biochemical and agricultural engineering.

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: Key expert

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 POLITEHNICA TIMIŞOARA (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.

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