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Romania
Citizenship:
Romania
Ph.D. degree award:
2016
Ioan Catalin
Dragoi
-
UNIVERSITATEA "VALAHIA" TARGOVISTE
Teaching staff
6
years
Personal public profile link.
Expertise & keywords
Image processing
Reversible watermarking
Digital watermarking
Coding theory
Embedded system
Internet of things
Microcontrollers
Linear Programming
Projects
Publications & Patents
Entrepreneurship
Reviewer section
Intelligent system for management, monitoring and maintenance of pavements and roads using modern imaging techniques-PAV3M
Call name:
Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-1762
2014
-
2017
Role in this project:
Key expert
Coordinating institution:
UNIVERSITATEA BABES BOLYAI
Project partners:
UNIVERSITATEA BABES BOLYAI (RO); CENTRUL IT PENTRU STIINTA SI TEHNOLOGIE S.R.L. (RO); CENTRUL DE COMPETENTA IN ELECTROSTATICA SI ELECTROTEHNOLOGII S.R.L. (RO); UNIVERSITATEA "VALAHIA" TARGOVISTE (RO); UNIVERSITATEA "DUNAREA DE JOS" (RO); UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA (RO)
Affiliation:
UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)
Project website:
https://econ.ubbcluj.ro/PAV3M, https://www.facebook.com/pages/PAV3M/757415914312096
Abstract:
The primary objective of PAV3M is to develop a holistic platform which integrates imaging based road pavement inspection technology with a risk management and cost/benefits application software tool to support road management needs of transportation agencies, construction and road rehabilitation companies and local governments. On the technological side we propose an automated, portable visual pavement inspection system for traffic-speed pavement distress monitoring and analysis of road pavements whose high degree of integration, easy mountability and costs will permit its operation on non-specialized vehicles and thus its widespread use. Current approaches for road condition data collection are done by specialized vehicles at substantial costs and long inspection cycles. In some cases, due to limited funding, officials even relay on time-consuming manual labor. Yet the importance for traffic safety of timely identification and rectification of road deformations cannot be overstated.
PAV3M will exploit recent advances in image acquisition hardware (higher resolution sensors, faster and more light sensitive digital cameras, increased data acquisition rates, etc.) and the tremendous increase in processing/computing power of “miniatural” units. The proposed system will consist of an innovative camera system and a full set of additional sensors for positioning, orientation and communication. Within PAV3M we will develop efficient algorithms and methods for automated image and video processing to identify and quantify road pavement surface condition parameters. Coupling this information with prediction of defects and with a cost and risk management application will endow the road owners with a methodology to assess the current status of the pavements and to evaluate the effect of maintenance techniques on the pavement capital.
Economic and risk management aspects (UBB) together with defect evolution prediction will be fully integrated into a web portal offering a service that is part of the SMEs (CITST and CCEE) business strategy for targeting the fast developing Romanian road management sector. Intelligent System development will follow Oguara objectives of Pavement Maintenance and Management Systems (PMMS) linked with management tools and functionality. Our proposal links together PMMS and PMS (Pavement Management Systems) in a web-based multi-tier modular solution, which will be offered as a SaaS (Software as a Service) through a web portal.
Using semantic Web we propose a road history database, which can be used in the risk management module. An expert module assists the decision makers in finding optimum strategies for maintaining pavements and the risk module offers solutions for avoid or mitigate risk factors in a given period of time for the minimum cost. This module will offer alternative strategies to cover the wide range of risks associated with pavements, which was proposed by Paine, based on Unified Facilities Criteria for Pavement Maintenance Management.
Partners involved in the project ensure the complementary synergies in a trans-disciplinary approach, based on their competencies, involving a number of interrelated disciplines. We mention relevant expertise in hardware integration, image processing and pattern recognition area, multimedia databases, business process management, risk management, e-business application, portals and web technologies, Web services.
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Methods of prediction of infantile hemangiomas evolution, aimed at preventing desfigurating complications by multiple intervention procedures
Call name:
Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-0201
2014
-
2017
Role in this project:
Coordinating institution:
UNIV.DE MEDICINA SI FARMACIE - CAROL DAVILA
Project partners:
UNIV.DE MEDICINA SI FARMACIE - CAROL DAVILA (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); UNIVERSITATEA "VALAHIA" TARGOVISTE (RO); SANAFORT SRL (RO)
Affiliation:
UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)
Project website:
http://imag.pub.ro/hemacad/
Abstract:
Infantile Hemangiomas (IH) are tumors of vascular origin that are present at birth or develop a few weeks after. The differential diagnosis from vascular malformations is difficult to establish. IH that affect the cephalic and cervical region (the most frequent), the genital area or the extremities, due to the location, dimensions and fast evolution, can determine important functional and esthetic sequels, debilitating for the patient. To avoid these unfortunate consequences it is necessary to establish the exact appropriate moment to begin the treatment and decide which is the most adequate therapeutic procedure.
Until now, at international level there is no standard method of diagnosis of infantile hemangiomas nor any mean of predicting their progress from the clinical point of view and possible complications that may appear. Treatments currently used rely only on subjective observation, instinct and experience of the treating physician, supported by technical and pharmacological development in medicine.
The proposed project intends, based on clinical data collected by serial clinical observations correlated with imaging data, to develop a treatment algorithm to accurately predict the best final results, from esthetical and functional point of view, for a certain type of lesion.
In order to achieve this goal, we will use and/or develop modern methods to process medical images and intelligent algorithms to help the diagnosis (CAD). The software will incorporate advanced methods for accurate measurement of specific IH lesions, will integrate medical information resulting from clinical observations and integrate statistical methods and / or nature-inspired computational methods (e.g. nonlinear dynamics, cellular neural networks, artificial neural networks) to correlate this information with that obtained from the processing of images. Based on these correlations we will establish a prediction mechanism of the evolution of hemangioma. This will help determine the best method of therapeutic intervention to minimize further complications.
The scientific and technological impact of the project resides in the development of these innovative methods. Their implementation will result in a medical device type of product that will obviously help to increase the competitiveness of the Romanian economy, given that the existence of such a product, which aims to really improve the quality of life for children affected by an esthetic and functional disfiguring pathology, is a must.
The product implies real health benefits for both patients and the health system receiving a minimization of costs per patient in this condition. By decreasing the number of procedures and defining a single therapeutic strategy for treating a patient, amounts can be saved and consequently allocated for the benefit of other needs. Moreover, if the aesthetic and functional result is maximized, we save the resources allocated for the patient’s reintegration into society, which is more costly if the degree of failure is higher. Decreasing the disease follow up period, speeding the diagnosis, diminishing the hospitalization time, a faster social integration of the patients are only a few benefits that such a product would bring, not only for the patients, but also for the national and European medical system.
The consortium consisting of “Carol Davila” University of Medicine and Pharmacy Bucharest (project coordinator), University Politehnica from Bucuresti (P1), University Valahia of Târgoviște (P2) and Medical Technologies & Research company (P3) formed a close-knit team to successfully implement the project.
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New methods and investigations protocols for the early diagnosis, efficient screening, prognostic and therapy of non-melanoma skin cancers based on existing and novel micro & nano optical tools
Call name:
Joint Applied Research Projects - PCCA-2011 call, Type 2
PN-II-PT-PCCA-2011-3.2-1162
2012
-
2016
Role in this project:
Key expert
Coordinating institution:
UNIVERSITATEA POLITEHNICA DIN BUCURESTI
Project partners:
UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); SPITALUL CLINIC DE URGENTA (RO); UNIVERSITATEA "VALAHIA" TARGOVISTE (RO); WING COMPUTER GROUP S.R.L. (RO)
Affiliation:
UNIVERSITATEA "VALAHIA" TARGOVISTE (RO)
Project website:
http://nanolascan.ro
Abstract:
Skin cancer is among the most common forms of cancer in the USA, Australia, and Europe and is increasing in incidence in other parts of the world. The rising incidence of non-melanoma skin cancer, such as basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), makes the investigation of the tumors of this type to represent a subject of maximum importance at this time. The precise visualization and understanding of cellular and sub-cellular structures specific to cancer tumors is essential for establishing a correct diagnostic at a very early stage, as well as for the efficient monitoring of the tumor evolution and of the effects of the administered therapy. We propose to develop and use a commercially unavailable microscopy system, FASNOM, to advance the current understanding on the morphological and autofluorescent nanoscale features found in freshly excised human non-melanoma skin cancer and normal perilesional skin samples. The diagnostic potential of fluorescence imaging and spectroscopy lies in the ability to noninvasively probe alterations in tissue morphology and biochemistry that occur during malignant progression. In this purpose we propose to exploit nanoscale information on the properties of endogenous fluorescent biomolecules present in human skin in order to distinguish between normal, pre-cancerous and cancerous epithelial tissues of different types with high specificity and sensitivity. In the proposed project high importance will be given to identifying nanoscale (
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FILE DESCRIPTION
DOCUMENT
List of research grants as project coordinator or partner team leader
Download (41.93 kb) 28/01/2019
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects
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