BrainMap

Mr. Alexandru-Cosmin Grivei

PhD

Researcher - UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI

Researcher | Teaching staff | Scientific reviewer

Versatile Principal Software Engineer and PhD graduate (Summa Cum Laude) with over a decade of technical leadership across enterprise software, advanced R&D, and tech education. Proven track record of bridging complex research with production-grade engineering—ranging from architecting cloud migrations and modernizing legacy stacks to developing AI and machine learning models for Earth Observation data mining in European Space Agency (ESA) projects. Equally adept as a hands-on developer, architect, and educator, with expertise spanning Python, Java, PHP, and JavaScript (Laravel, Spring, React, Nuxt, Next). Trusted technical strategist experienced in collaborating with executive stakeholders, leading high-performing engineering teams, and training the next generation of web developers. Core Skills & Tech: Python, Java, PHP, JavaScript, TypeScript | Laravel, Spring, Nuxt, Next, React, Vue | PostgreSQL, Docker, Azure, Linux, CI/CD | AI/ML, Satellite Data Mining, Software Architectur

Web of Science ResearcherID: AAB-1099-2019

Curriculum Vitae (10/04/2024)

Expertise & keywords

Platform for fusion and management of multi-source data collections exploitable by artificial intelligence models for the estimation and predictive analysis of risk situations Call name: P 5.6 - SP 5.6.3 - Solutii
PN-IV-P6-6.3-SOL-2024-2-0251 2024 - 2026

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI

Project partners: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO); Academia Tehnică Militară „FERDINAND I” (RO); UNIVERSITATEA TRANSILVANIA BRASOV (RO); ESRI ROMANIA SRL (RO)

Affiliation: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO)

Project website: http://ai4risk.ro

Abstract:

AI4RISK aims to strengthen national security by using machine learning technologies to analyze and interpret complex data from diverse sources in order to identify and anticipate potential security risks. The project aims to achieve an innovative solution for automatic collection and processing of satellite and aerial data collections by implementing generative methods to improve the characteristics of aerial images; the creation and implementation of containerized explainable artificial intelligence models, the implementation of the platform for predictive analysis and risk estimation based on user questions, the integration and visualization of data in the platform, through the implementation of mapping services and the rendering of real-time image streams.

In addition to the requirements formulated by the beneficiary, the consortium proposes for implementation in the AI4RISK platform a system for preparing and improving operators' reactions to risk incidents, through the use of machine learning techniques. It will allow operators to adapt/enable specific methodologies for data processing and status assessment. Therefore, analyzing the results and taking into account the information density of the map of the region of interest, the system will propose recommendations for further actions - such as the integration of a wider range of news sources, including in several languages, the activation of an extensive network of cameras for monitoring, the addition of additional data relating to targets in the area – all aimed at optimizing the operator's intervention strategy.

Space for Urban Green Feasibility Study Call name:
ESA contract reference No 4000137640/22/NL/FGL 2022 - 2023

Role in this project: Key expert

Coordinating institution: GMV INNOVATING SOLUTIONS S.R.L.

Project partners: GMV INNOVATING SOLUTIONS S.R.L. (); UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI ()

Affiliation: UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI ()

Project website: https://s4ug.com

Abstract:

Global, national, regional and local initiatives focus on providing a supportive framework for urban adaptation, promoting the integration of healthy ecosystems,

green infrastructure and nature-based solutions into urban planning. S4UG addressed the design, planning and the management of urban green infrastructure.

Relevant stakeholders like Bucharest City Hall were involved for service requirements definition and results assessment.

CEOSpaceTech proposed the service for Management of urban green spaces – based on EO SITS analysis and monitoring of plants health status in urban areas and

assessment of green urban infrastructure on environmental factors within the city.

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: Key expert

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: Academia Tehnică Militară „FERDINAND I” (RO)

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.

„ Centru de competenta pentru senzori inteligenti si tehnologii de procesare a colectiilor mari de date in aplicatii pentru spatiu” Call name: P5 Inovare - C2 2013
ROSA-411-C2-2013 2013 - 2017

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:

Abstract:

Open Source Image Retrieval – Integration of Developed Tools Call name:
AO/1-7966/14/I/CS 2014 - 2016

Role in this project: Key expert

Coordinating institution: TERRASIGNA SRL

Project partners: TERRASIGNA SRL (); UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI ()

Affiliation: UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI ()

Project website: http://ceospacetech.pub.ro/index.php/menu-osiride-short-description

Abstract:

Antene avansate pentru comunicatii spatiale Call name: P5 Inovare - C2 2013
ROSA-240-C2-2013 2013 - 2016

Role in this project: Key expert

Coordinating institution: Institutul National de Cercetare-Dezvoltare pentru Fizica Materialelor - INCDFM

Project partners: Institutul National de Cercetare Dezvoltare pentru Fizica Materialelor (RO); Universitatea Politehnica din Bucuresti (RO); Academia Tehnica Militara (RO)

Affiliation: Universitatea Politehnica din Bucuresti (RO)

Project website:

Abstract:

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