BrainMap

Mrs. Mihaela Hnatiuc

Associate Professor

Associate Professor - UNIVERSITATEA MARITIMA DIN CONSTANTA

Researcher | Teaching staff | Scientific reviewer

Mihaela Hnatiuc received a B.S. in electronic engineering, a Master degree in Artificial intelligence and a Ph.D. degree in electronic engineering from the University “Gh. Asachi”, Iasi, Romania in 1995 and 2006, respectively. From 2006 to 2007, she was a Research Assistant at the Institute of Computer Science, Iasi, Romania. Since 2007 she has been an Associate Professor at Constanta Maritime University. Her research interests include sensors, IoT technology, microsystems and machine learning algorithms . She coordinates a mobility project at INSA Centre val de Loire, in order to design the consortium and define the activities for European projects, 2019. In the last three years, she is responsible for the project “Multiscale Sensing for Disease Monitoring in Vineyard Production”, funded by ICT-AGRI-FOOD. Mihaela has more than 80 publications in Conference proceedings and journals, nine books and chapters of books.

Web of Science ResearcherID: https://orcid.org/0000-0002-0410-0530

Curriculum Vitae (26/07/2024)

Expertise & keywords

IAMU FY 2024 Project, Field of Greener and cleaner shipping, Project Titled Development of novel bespoke microtextured metals to combat biofouling in niche areas on vessels and facilitate greener and cleaner shipping, Call name:
IAMU FY 2024 2024 - 2025

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA MARITIMA DIN CONSTANTA

Project partners: UNIVERSITATEA MARITIMA DIN CONSTANTA ()

Affiliation: UNIVERSITATEA MARITIMA DIN CONSTANTA ()

Project website:

Abstract:

Multiscale Sensing for Disease Monitoring in Vineyard Production Call name: P 3 - SP 3.2 - Proiecte ERA.NET - COFUND
COFUND-ICT-AGRI-FOOD-MERIAVINO-1 2020 - 2024

Role in this project: Project coordinator

Coordinating institution: UNIVERSITATEA MARITIMA DIN CONSTANTA

Project partners: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO); Institut National des Sciences Appliquées Centre Val de Loire (FR); University of West Attica (GR); French Wine and Vine Institute (FR); ATOS (FR)

Affiliation: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO)

Project website: https://cmu-edu.eu/meriavino/

Abstract:

Vine disease is a major risk for viticulture, involving economic loss, yield quality reduction and environmental impact when using chemicals for treatment. MERIAVINO project advocates a multidisciplinary approach, which is based on several scientific fields to address the problem of disease and yield estimation in vineyard.

The proposed multi-scale methodology consists of inter-combining and implementing IoT, remote sensing and

big data in order to interconnect the vineyard parcels, as well as to develop a non-invasive, eco-friendly and low-cost technology for vine disease detection/warning. With the goal of reducing economic loss of both

quantity and quality, and the environmental impact, various sensors, data fusion techniques, artificial

intelligence (AI) with machine learning (ML) methods will be combined along with the development of

reprintable sensors for effective vineyard monitoring. The project results are then analysed and geo-visualised on compatible MobApp for end-users for decision-making and early prevention.

Pollution Identification, Mapping, and Ecosystem Observation with AI-powered water quality USV Call name: P 3 - SP 3.2 - Proiecte ERA.NET
ERANET-MARTERA-PIMEO-AI-2 2020 - 2023

Role in this project: Partner team leader

Coordinating institution: UNIVERSITATEA MARITIMA DIN CONSTANTA

Project partners: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO); Fluidion SAS (FR); Sorbonne Université: Laboratoire d’océanographie et du climat: expérimentations et approches numériques (FR)

Affiliation: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO)

Project website: https://cmu-edu.eu/pimeo-ai/

Abstract:

Project PIMEO AI targets the development and operational use in multiple representative environments of an artificial-intelligence (AI) powered unmanned surface vehicle (USV) that is capable to perform complete suites of water quality measurements in all types of sensitive aquatic ecosystems. The resulting PIMEO AI USV will be a next-generation advanced analysis tool for studying sensitive ecosystems, identifying pollution sources, and mapping their environmental impact. It will fill an important market need for comprehensive water quality USVs, the market today being highly limited and aimed primarily at hydrology research.

PIMEO AI will use an embedded AI system to provide augmented (and eventually automated) piloting making use of machine-learning algorithms, and will be connected to a secure cloud data platform to provide archival, centralization and analytics capabilities. Blockchain technology will be used to provide trust and traceability, such as securely managing the sensor data information as well as the identity of the stakeholders. Security and privacy compliance with GDPR will be ensured by implementing reliable, secure data transport and access.

PIMEO AI will be tested operationally in highly-sensitive and fragile ecosystems that are subject to increasing anthropic pressures. Three distinct ecosystems will be studied:

• France: a lake in a dense urban environment (Créteil lake), used for recreational activities but subject to regular pollution events;

• Romania: the Danube delta - one of the largest and the best-preserved European river deltas, subject to different types of pollution and eutrophication

• Romania: coastal waters in the Constanta area, affected by frequent microbiological pollution episodes.

PIMEO AI has strong support from several key stakeholders: Grand Paris Sud-Est Avenir (France), Cluster EMS (France), National Company Maritime Ports Administration (Romania), Cluster IND-AGRO-POL (Romania) and the Romanian Water National Authority (Romania).

Modernization of the base of applied research and practical training, for the development of the design and research skills, of the students, masters and doctoral students of the Univ. Maritime Constanta Call name:
CNFIS-FDI-2019-0504 2019 - 2019

Role in this project: Partner team leader

Coordinating institution: UNIVERSITATEA MARITIMA DIN CONSTANTA

Project partners: UNIVERSITATEA MARITIMA DIN CONSTANTA ()

Affiliation: UNIVERSITATEA MARITIMA DIN CONSTANTA ()

Project website:

Abstract:

Mobilitate cercetător Mihaela Hnatiuc Call name: P 1 - SP 1.1 - Proiecte de mobilitate pentru cercetatori, 2019
PN-III-P1-1.1-MC-2019-2556 2019 - 2019

Role in this project: Project coordinator

Coordinating institution: UNIVERSITATEA MARITIMA DIN CONSTANTA

Project partners: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO)

Affiliation: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO)

Project website:

Abstract:

Computer aided applied elasticity advanced studies from an interdisciplinary perspective Call name:
ID1223 2007 - 2009

Role in this project: Partner team leader

Coordinating institution: UNIVERSITATEA MARITIMA DIN CONSTANTA

Project partners: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO)

Affiliation: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO)

Project website:

Abstract:

The project is a framework for the development of the computer aided interdisciplinary and inter-domains computer aided studies. There were developed new concepts, solutions, algorithms, computer code libraries and software instruments to be used in a wide range of cross-domain applications.

Computer aided applied elasticity advanced studies from an interdisciplinary perspective Call name:
ID1223 2007 - 2009

Role in this project: Partner team leader

Coordinating institution: UNIVERSITATEA MARITIMA DIN CONSTANTA

Project partners: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO)

Affiliation: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO)

Project website:

Abstract:

The project is a framework for the development of interdisciplinary and inter-domains computer aided studies.

In the project there were developed new concepts, solutions, computer code libraries and software instruments to be used in cross-domains modelling.

National Excellence Research Program, CEEX, 2005 - 2008, Module 1 Complex Research Development Projects; Project no. 634 "Expertise Center for the Sustainable Use of Ecosystems" - CEXDUREC - Case Study "Pericoural Terrestrial and Aquatic Ecosystems in the Ciric River Basin, North of Iaşi City" - member of the research team (coordinated by the Faculty of Biology) , member of the Council of Specialists; responsible for activities 22I1, 23I2, 24I3 Call name:
CNCSIS Proiectul nr. 634 2005 - 2008

Role in this project: Partner team leader

Coordinating institution: UNIVERSITATEA "ALEXANDRU IOAN CUZA" IASI

Project partners: UNIVERSITATEA "ALEXANDRU IOAN CUZA" IASI (RO)

Affiliation: UNIVERSITATEA "ALEXANDRU IOAN CUZA" IASI (RO)

Project website: http://www.bio.uaic.ro/cercetare/contracte/cexdurec/cexdurec-ro.html

Abstract:

Antibiofouling by non-thermal plasma at atmospheric pressure Call name: Programul de actiuni Integrate Romania-Franta (bilaterale)
PN-II-CT-RO-FR-2014-2-0005 2014 -

Role in this project:

Coordinating institution: UNIVERSITATEA MARITIMA DIN CONSTANTA

Project partners: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO); Université d’Orléans Centre Universitaire de Bourges GREMI – UMR 7344 Groupe de Recherches sur l’Energétique des Milieux Ionisés (FR)

Affiliation: UNIVERSITATEA MARITIMA DIN CONSTANTA (RO)

Project website:

Abstract:

Corrosion in marine environment is an actual problem, being a complex dynamic process influenced mainly by physico-chemical, microbiological and mechanical parameters. Around 70% of the maintenance costs of a ship are associated with the corrosion protection. Times for maintenance related to this phenomenon are greater than 80% of the total repair. Reducing this cost would be a significant saving, and an effective treatment can reduce times related to ships repairing. Biofouling is a main cause of corrosion and its formation contains 4 steps. To reduce biofouling, methods must be applied especially in the first part of his production, namely the biofilm. This project concerns the study of a treatment based on electric discharge called non-thermal plasma. It can be applied before the immersion of small boats in the sea, as well as cleaning treatment of the hull to achieve maintenance of these boats after about one year period of immersion. The efficiency of classic microbiological treatment by using GlidArc or DBD electric discharges was already proved. This project aims to find both the best treatment conditions for existing microorganisms in the marine environment and to identify any additional technological solution or treatment to inhibit or stop redevelopment of biofouling. Achieving these goals requires correlation of microbiological, mechanical (surface analysis), electrical, chemical and physical results.

FILE DESCRIPTION	DOCUMENT
List of research grants as project coordinator or partner team leader	Download (39 kb) 30/06/2024
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects