BrainMap

Mr. Alexandru-Cosmin Grivei

PhD

Researcher - UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI

Researcher | Teaching staff

Experienced Scientific Researcher and Senior Software Engineer with a strong background in Earth Observation, data mining, and software development. I've had the privilege to work on cutting-edge projects funded by esteemed organizations like ESA, ROSA, and UEFISCDI, contributing to the development of innovative solutions for spatial information and remote sensing. My expertise spans a wide range of programming languages and frameworks, including Python, Java, PHP, and JavaScript. I excel in software development, product maintenance, and quality assurance. I also have a knack for efficiently managing Linux-based VMs and Docker containers, and automating tasks to enhance project efficiency. In addition to my research and software development roles, I'm an active trainer with a proven track record in teaching various technology-related subjects. I'm a dedicated professional with a Summa Cum Laude grade for my PhD thesis related to information extraction from satellite image time series

Web of Science ResearcherID: AAB-1099-2019

Curriculum Vitae (10/04/2024)

Expertise & keywords

Transforming a massive volume of data and geospatial information into actionable intelligence Call name: P 2 - SP 2.1 - Soluţii - 2021
PN-III-P2-2.1-SOL-2021-0084 2021 - 2023

Role in this project:

Coordinating institution: Academia Tehnică Militară „FERDINAND I”

Project partners: Academia Tehnică Militară „FERDINAND I” (RO); INTERGRAPH COMPUTER SERVICES S.R.L. (RO); UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO); AGENTIA SPATIALA ROMANA (RO); UNIVERSITATEA BUCURESTI (RO)

Affiliation:

Project website: https://mta.ro/bdageoint

Abstract:

BDAGeoINT is a project that aims to use emerging technologies for ingesting, visualizing and storing structured and unstructured massive data sets (Big Data), as well as processing and analyzing this information in order to transform it into actionable intelligence.

It proposes an innovative conceptual framework by integrating machine learning in related fields, which capitalizes the identification methods of the entities and of the relationships between them, as a result of processing spatio-temporal data, text data and image/audio/video data. This approach is achieved by exploiting distributed analysis and optimal storage for running complex analyzes in order to generate actionable intelligence.

From a technological point of view, the project combines mature technologies (COTS: Luciad, ERDAS Apollo) with emerging technologies (open source) such as: GPU processing, HDFS (Hadoop Distributed File System), Python and Cython, machine learning algorithms for identifying entities and spatial data processing.

BDAGeoINT will seek to respond to the information cycle of an intelligence organization and the relational context in which it operates (national security system, strategic relations systems and strategic partnerships).

Integrated system for support and command of crisis response actions Call name: P 2 - SP 2.1 - SOLUȚII - 9 - Sistem integrat pentru suportul şi conducerea intervențiilor în situații de criză
PN-III-P2-2.1-SOL-2017-08-0107 2018 - 2021

Role in this project: Key expert

Coordinating institution: Academia Tehnica Militara

Project partners: Academia Tehnica Militara (RO); MARCTEL - S.I.T. S.R.L. (RO); SOFT GALAXY INTERNATIONAL S.R.L. (RO)

Affiliation: Academia Tehnica Militara (RO)

Project website: http://www.9sol.ro

Abstract:

The project ”Integrated system for support and command of intervention teams in crisis situations” aims to develop an integrated system, comprising hardware, software and communication resources needed to assure the planning and coordination of missions in crisis situations. A subsystem will be developed for calculation of the explosion parameters in air, simulation, analysis and evaluation of the impact of shockwaves on buildings, simulation and evaluation of the effect of an explosion on persons and also an integrated system comprising communications and informatics destined for assurance of bidirectional information streams comprising video streams, physiologic and location data of the intervention team.

Space technologies used in the management of disasters and major crises, manifested at local, national and regional levels Call name: P 2 - SP 2.1 - SOLUTII - 3 - Tehnologii spaţiale în managementul dezastrelor şi crizelor majore
PN-III-P2-2.1-SOL-2016-03-0046 2017 - 2020

Role in this project: Key expert

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI

Project partners: INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); UTI GRUP S.A. (RO); Ministerul Apararii Nationale prin Agentia de Cercetare pentru Tehnica si Tehnologii Militare (ACTTM) (RO); TERRASIGNA SRL (RO); INSTITUTUL DE STIINTE SPATIALE-FILIALA INFLPR (RO); INSTITUTUL ASTRONOMIC (RO); Academia Tehnica Militara (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://spero.ici.ro

Abstract:

Disaster management involves activities aiming to organize and manage resources and responsibilities to minimize human and material losses. The need for solid, real-time information to support authorities’ intervention, coordinate humanitarian activities and remove civilian security threats requires the use and analysis of satellite and multi-source data as well as fast mapping methods. The overall objective of the SPERO project - "Space technologies used in the management of disasters and major crises, manifested at local, national and regional levels" is to create a support platform for the management of emergency situations generated by natural disasters, industrial accidents, humanitarian crisis situations or extreme atmospheric and space phenomena. The project focuses on building a complex geo-spatial database, visualization, processing and analysis tools; inventory of risk areas and existing and necessary means for the management of major disasters and crises; integrated situational analysis at local, national and regional level; facilitating the access to these informational resources to structures with major crisis prevention and disaster response tasks; substantiating national and regional initiatives and policies and initiatives; Integration and capitalization of national expertise in support areas such as geo-spatial sciences, geodesy, cartography, photogrammetry, remote sensing, astrophysics, optical and video data processing, security and IT & C. Successful implementation of the project will have a significant impact on the profitability of the economic agents involved by increasing the annual turnover based on the services they offer in the proposed system. The achievement of the proposed system produces immediate positive economic effects by lowering the cost of crisis analysis and management, real-time and accurate estimation of the resources needed to solve crisis situations, as well as subsequent monitoring of the situations and problems generated. The results of the project will be disseminated and exploited through specific activities by the consortium partners.

SOL-2020-2 9. Development of effective local and remote diagnostic technologies and systems for SARS-CoV-2 virus infection Call name: P 2 - SP 2.1 - Soluţii - 2020 - 2
PN-III-P2-2.1-SOL-2020-2-0360 2020 - 2020

Role in this project:

Coordinating institution: Academia Tehnică Militară „FERDINAND I”

Project partners: Academia Tehnică Militară „FERDINAND I” (RO); SPITATUL UNIVERSITAR DE URGENTA ELIAS (RO); TERRASIGNA SRL (RO)

Affiliation:

Project website: https://mta.ro/scutcov/

Abstract:

The aim of the project is to create a virtual platform for identifying people suspected of COVID - 19, the continuous analysis of data collected from them and the delivery of personalized messages to risk groups. The platform will offer users the opportunity to self-assess their health and will allow, on a voluntary basis, to provide personal data (a first level being location - optional GPS - and phone number verified by sms). The latter will be provided with additional information and their registration in a central database to remind them to repeat the self-assessment and to be alerted to the increased likelihood of becoming infected (possibly due to the increase in the number of cases in the area).

In the virtual platform, users can have three roles: regular user, operator and administrator. Regular users can self-assess their health on their own initiative, based on an automatic history. Following the self-assessment, they will receive personalized instructions or will be contacted by specialized medical staff. The information received from regular users is automatically analyzed and supervised by operators, in order to count the number of suspects, with temporal and geographical distribution, geo-location, identification of new specific COVID-19 symptoms, updating patient data and delivery of personalized messages . The administrator assigns roles and monitors the technical operation of the system.

Integrated platform for land/water monitoring based on remote and in situ measurements Call name:
Star-C3-Nr. 145 / 20.07.2017 2017 - 2019

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://ceospacetech.pub.ro/index.php/research/projects-national/rise

Abstract:

Ecosystems are providing essential services to humans. Food production, drinkable water, clean air, biodiversity support, climate regulation and nutrient cycling, mitigation of natural disasters, regulation of pests and diseases are just a few examples of ecosystem services of vital importance.

RISE (Integrated platform for land/water monitoring based on remote and in situ measurements) project will make significant progress beyond the state-of-the-art through the development of an integrated platform for aquatic and terrestrial ecosystems studies. Such a platform would integrate in-situ measurements (from automated sensors and monitoring programs) with Earth Observation – EO image analysis to provide data quality services to multiple applications.

The integrated platform would be an example of a highly instrumented site and should also act as a prototype for a nationally distributed monitoring network to support transparent and knowledge-based conservation and management policies.

Multispectral Data Analysis Toolbox for SNAP Call name:
2017 - 2019

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Project website: http://ceospacetech.pub.ro/index.php/research/projects-esa/das-tool

Abstract:

Developed by ESA as part of the Copernicus Program, the Sentinel-2 (S2) mission was developed to perform terrestrial observations in support of services such as forest monitoring, land cover changes detection, and natural disaster management. With a systematic global coverage of land surfaces and a temporal resolution of 5 days, the S2 mission raises a great interest due to the augmented volume of medium resolution imagery it provides. Moreover, its multispectral instrument (MSI) is capable of measuring the radiation reflected by the Earth surface in 13 different intervals of the electromagnetic spectrum. Computer-based data analysis is highly required to extract similarity by processing and assist human understanding and semantic annotation.

Given these facts, the Multispectral Data Analysis Toolbox for SNAP – ESA’s SentiNel Application Platform (DAS-Tool) technical objectives are directed towards the elaboration of dedicated algorithms for content description and semantic analysis of Sentinel 2 data. Spectral band discovery for exploratory visual analysis will be added in support of MSI image understanding. A unitary data mining framework is envisaged in order to enhance relevant aspects and transpose the S2 data into actionable information.

The Multi-layer Geohazards Information System Concept for Urban Areas (URMA - urban risk mapping) Call name:
AO/1-8153/14/NL/CBi 2015 - 2017

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (); INSTITUTUL GEOLOGIC AL ROMANIEI (); TERRASIGNA SRL ()

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Project website: http://ceospacetech.pub.ro/index.php/urma-team

Abstract:

The Multi-layer Geohazards Information System Concept for Urban Areas (URMA - urban risk mapping) technical objectives are directed toward the definition of a concept system for interactive exploration of ground and land dynamics in urban areas,

corroborated by three complementary information layers which describe the geology, built-up dynamics and displacements. The project is focused on developing methodologies for displacements measurements, risk and vulnerability assessment

and mapping, based on InSAR and PS-InSAR methods

Data Mining For Analysis And Exploitation Of Next Generation Of Time Series Call name:
2015 - 2017

Role in this project: Key expert

Coordinating institution: TERRASIGNA SRL

Project partners: TERRASIGNA SRL (); UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Project website:

Abstract:

INTRODUCTION AND OBJECTIVES

The main objective of the Data Mining For Analysis And Exploitation Of Next Generation Of Time Series (DAMATS) project is to study, develop and demonstrate a prototype for the extraction of information in Satellite Image Time Series (SITS). To achieve this, the following activities shall be addressed:

- Quick and effective generation of SITS;

- Definition and categorisation of classes with the same evolution in time (“categories of evolution”);

- Fast semantic searches of defined classes.

- The selection of SITS specific algorithms for the extraction of inherent information content;

- Benchmarking activities for relevant SITS, including additional information sources;

- Implementation and validation of prototypes with relevant user communities, with related services made available over a virtualized environment.

EXPECTED RESULTS

The DAMATS prototype shall contain several modules. The main ones are:

- Interactive, inteligent selection module, for generating SITS in accordance with several criteria: area of interest, time interval, sensor type, maximum precentage of cloud coverage, minimum percentage of a paticular Corine Land Cover class etc.

- Toolbox with instruments for extracting and analyzing information from SITS: change detection maps, classification in terms of "categories of evolution", single class definition through query by example techniques etc.

- Various visualization modes, for viewing original SITS and derived products.

- A set of application scenarios, to prove the usefulness of the prototype; it is expected that scenarios like deforestation, flooding, urban area extension, land use/cover evolution are to be found among selected issues.

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