Dr. Iuliana Marin
Department of Engineering in Foreign Languages, Universitatea Politehnica din Bucuresti, Splaiul Independentei 313, 060042 Bucuresti, Romania
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Academic Career Length
13Years (2014-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 November 2019
Conference Paper
Iuliana MarinBPBujorel-Ionel Pavaloiu
Bujorel-Ionel Pavaloiu
CMConstantin-Viorel Marian
Constantin-Viorel Marian
VRVlad Racovita
Vlad Racovita
NGNicolae Goga
Nicolae Goga
Preeclampsia is one of the death causes of pregnant women and their unborn children. Preventive measures should be taken for detecting the illness as early as possible. The current paper determines the presence of preeclampsia using a non-invasive approach. The blood pressure measurements are generated using a smart bracelet which is part of the i-bracelet Eurostars project, "Intelligent bracelet for blood pressure monitoring and detection of preeclampsia". The considered input data are the age, weight and blood pressure measurements of every pregnant woman. The prediction model comprised a series of hidden states. The Viterbi algorithm was used to determine the presence of a certain hidden state, namely preeclampsia. The accuracy, sensitivity and specificity values of the tested solution prove that it is useful in remote and hospital settings.
Journal Article
Bogdan-Iulian CiubotaruGSGabriel Sasu
Gabriel Sasu
Nicolae GogaAVAndrei Vasilateanu
Andrei VasilateanuIuliana Marin
Gora Datta +2
As society moves towards a preventative approach to healthcare, there is growing interest in scientific research involving technology that can monitor and prevent adverse health outcomes. The primary objective of this paper is to develop an Internet of Things (IoT) wearable system based on Fried’s phenotype that is capable of detecting frailty. To determine user requirements, the system’s architecture was designed based on the findings of a questionnaire administered to individuals confirmed to be frail. A functional prototype was successfully developed and tested under real-world conditions. This paper introduces the methodology that was used to analyze the data collected from the prototype. It proposes an interdisciplinary approach to interpret wearable sensor data, providing a comprehensive overview through both visual representations and computational analyses facilitated by machine learning models. The findings of these analyses offer insights into the ways in which different types of activities can be classified and quantified as part of an overall physical activity level, which is recognized as an important indicator of frailty. The results provide the foundations for a new generation of affordable and non-intrusive systems able to detect and assess early signs of frailty.
1
1 May 2015
Conference Paper
IPIonel-Bujorel Pavaloiu
Ionel-Bujorel PavaloiuAVAndrei Vasilateanu
Andrei Vasilateanu
NGNicolae Goga
Nicolae Goga
Iuliana MarinRIRadu Ioanitescu
Radu Ioanitescu
IPIon Patrascu
Ion Patrascu
+4
We present in this paper a fast method for the reconstruction of the dental 3D structure using the images obtained from Cone Beam Computed Tomography (CBCT). A high-quality visualization of the dental tissues, including 3D reconstruction, is essential for the accurate diagnosis and treatment in dentistry. The segmentation for the dental CBCT images presents several major problems because of the noisiness of the images. We analyze the existing methods and propose one that uses the information for the dental structure and distribution to reduce the computational load and to provide good results in an automatic procedure.
1 November 2014
Conference Paper
IPIonel-Bujorel Pavaloiu
Ionel-Bujorel PavaloiuAVAndrei Vasilateanu
Andrei Vasilateanu
NGNicolae Goga
Nicolae Goga
Iuliana MarinCICatalin Ilie
Catalin Ilie
IPIon Patrascu
Ion Patrascu
+1
We will present in this paper a method for the reconstruction of the oral 3D structure using Computed Tomography (CT) sections obtained from Cone Beam Computed Tomography (CBCT). A high-quality visualization of the dental tissues, based nowadays on fine 3D reconstruction, is essential for accurate diagnosis and treatments. Dental CBCT images present several major problems because of the noisiness and of the configuration of the system. We tried several algorithms in order to overcome these issues and to obtain a feasible and efficient method that can be used directly in the clinical procedures. Our approach includes novel procedures like the delimitation of the region of interest and the combination of registration and segmentation steps, which grant faster results and open the route to better representations.
Journal Article
Iuliana MarinAVAndrei Vasilateanu
Andrei VasilateanuAMArthur-Jozsef Molnar
Arthur-Jozsef MolnarIBIuliana Bocicor
Iuliana Bocicor
David Cuesta-FrauNGNicolae Goga
Nicolae Goga +1
We present i-Light, a cyber-physical platform that aims to help older adults to live safely within their own homes. The system is the result of an international research project funded by the European Union and is comprised of a custom developed wireless sensor network together with software services that provide continuous monitoring, reporting and real-time alerting capabilities. The principal innovation proposed within the project regards implementation of the hardware components in the form of intelligent luminaires with inbuilt sensing and communication capabilities. Custom luminaires provide indoor localisation and environment sensing, are cost-effective and are designed to replace the lighting infrastructure of the deployment location without prior mapping or fingerprinting. We evaluate the system within a home and show that it achieves localisation accuracy sufficient for room-level detection. We present the communication infrastructure, and detail how the software services can be configured and used for visualisation, reporting and real-time alerting.
1 July 2015
Conference Paper
IPIonel-Bujorel Pavaloiu
Ionel-Bujorel PavaloiuNGNicolae Goga
Nicolae Goga
Iuliana MarinAVAndrei Vasilateanu
Andrei Vasilateanu
Cone Beam Computed Tomography (CBCT) is one of the favorite imaging technologies in dentistry because if offers 3D images in conditions of reduced irradiation. High quality 3D imaging is essential for first-rate diagnostic and treatment, despite the rather low quality images, with low contrast and high noise. The paper presents an automatic method for 3D reconstruction of the oral cavity. We analyze the existing state of the art in the field and propose a segmentation method that uses the domain knowledge related to mouth and teeth to reduce the computational load and to provide good results in an automatic procedure. The method is based on a Canny type edge detector, that was found to offer better control than active contour methods.
About Me
Dr. Iuliana Marin is an Associate Professor at the National University of Science and Technology POLITEHNICA Bucharest, Romania. She received her Ph.D. in Computers and Information Technology from POLITEHNICA Bucharest and completed a postdoctoral fellowship in Computer Science. Her research focuses on artificial intelligence, machine learning, deep learning, Internet of Things (IoT), blockchain, semantic web technologies, software engineering, digital health, smart agriculture, and edge computing. She has coordinated and participated in numerous national and European research projects, including Horizon Europe, Eurostars, Erasmus+, and Digital Innovation initiatives, and serves as an evaluation expert for the European Research Executive Agency (REA), the European Commission, UEFISCDI, and Commission des Titres d'Ingénieur (CTI), France. Dr. Marin has authored more than 130 scientific publications, holds a European patent, and has received several international innovation awards for AI and blockchain-based solutions. She is an active reviewer and editorial board member for numerous international journals and conferences and is committed to advancing interdisciplinary research at the intersection of artificial intelligence, digital transformation, healthcare, and sustainable smart systems.