BrainMap

Mr. Ciprian Mihai Dobre

PhD., Habil.

Professor - UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI

Other affiliations

Cercetator Stiintific Gr. I - INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (Romania)

Manager - SMARTRDI - SMART RESEARCH AND DEVELOPMENT INTERNATIONAL SRL (Romania)

Professor Ciprian Dobre is Senior Researcher with a background on Distributed Systems. His expertise and interests focus on Big Data processing, Next-Generation Computing, and Smart algorithms and applications for inter-disciplinary research. His results advance scientific knowledge already today, by pushing the boundaries of interdisciplinary research, developing innovative solutions to data gathering and smart algorithms for data processing, and applications in diverse fields. As Coordinator of the MobyLab (https://mobylabupb.com/) Research Group with POLITEHNICA Bucharest, he managed research on distributed data collection and the network infrastructure support, on data storing and processing in support for data-centered algorithms, and services and applications for smart cities and sustainable economy. Prof. Dobre is currently Coordinator for Digital4Security (37 partners), and the Coordinator of the National Competence Center for Climate Neutral and Smart Cities.

Web of Science ResearcherID: not public

Curriculum Vitae (16/06/2022)

Expertise & keywords

Romanian Excellence in Quantum Technologies enhancing Cybersecurity Call name: PNCDI IV, SP 5.6.1 - Centre de excelență, CoEx2024
PN-IV-P6-6.1-CoEx-2024-0214 2026 - 2030

Role in this project:

Coordinating institution: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI

Project partners: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO); UNIVERSITATEA POLITEHNICA TIMIŞOARA (RO); UNIVERSITATEA TEHNICĂ "GHEORGHE ASACHI" IAŞI (RO); UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA (RO); UNIVERSITATEA DE VEST TIMISOARA (RO); UNIVERSITATEA "ALEXANDRU IOAN CUZA" IASI (RO); UNIVERSITATEA DIN CRAIOVA (RO)

Affiliation:

Project website:

Abstract:

In the context of recent heavy investments in Quantum Computing seen as a disruptive threat across industries, this center aims to advance the state of art via frontier research in classical&post-quantum cryptography and quantum technologies applied in cybersecurity. Furthermore, the center will implement high-impact solutions for a more secure RO online environment, develop protocols for the future quantum internet, create and run educational programs to attain the critical mass of researchers in the field, establish collaborations with and disseminate to the industry, public administrations, and general population. By bringing together top researchers with more than 50 publications in A*/Q1 cat1-10, projects conducted amounting to 100M euros, an average of 1822 citations/person, and 6 Academy Awards, as well as through massive in-kind contributions from existing research infrastructures (including RoNaQCI, the largest terrestrial QKD network in EU with 1500+ km of links) and through collaboration with 31 public and private institutions who pledged their support (including Bitdefener, Google, CertSIGN, STS, ITA, ADR, RO Senate), we are confident we will obtain 11+ articles in A*/A/flagship/top Q1, 85+ publications, 2+ patents, 2+ supported spinoffs, 13 implemented security solutions, 10+ partnerships with industry/international players, with high potential for groundbreaking results and significant impact on general awareness, national security, and international policies.

Explainable Artificial Intelligence across the Computing Continuum Call name: PNCDI IV, SP 5.8.3 - Proiecte de mobilitate, PM-RO-FR-2025
PN-IV-P8-8.3-PM-RO-FR-2025-0113 2026 - 2027

Role in this project:

Coordinating institution: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI

Project partners: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO); Centre Inria de l'Université de Rennes (FR)

Affiliation:

Project website:

Abstract:

Artificial Intelligence increasingly operates across heterogeneous infrastructures spanning edge devices, cloud platforms and HPC systems, forming the Computing Continuum. While AI models achieve high accuracy, their opacity raises concerns about trust, accountability and transparency, especially in distributed environments where decisions emerge from complex dataflows. Existing Explainable AI (XAI) methods focus mainly on model-centric, post-hoc explanations and overlook system-level and data-centric factors. This project introduces a provenance-driven approach to XAI, leveraging structured metadata that documents the full lifecycle of AI workflows, from data generation to distributed training and deployment. Provenance enables correlations between model behaviour, execution context and resource conditions, leading to deeper, infrastructure-aware explanations. This project builds on the strong complementarity between two teams: KerData (Inria), expert in workflow profiling, data management and reproducible experimentation, and MobyLab (UPB), focused on applied AI, large-scale monitoring and integration across the Continuum. Their synergy supports the co-design of provenance formalisms, capture and visualization mechanisms, validated through Federated Learning scenarios. Together, they establish provenance as a foundation for responsible, explainable AI and pave the way for long-term European collaboration on transparent and trustworthy AI infrastructures.

DIGITAL4Security – European Masters Programme in Cybersecurity Management & Data Sovereignty Call name: PNCDI IV, P 5.8 - SP 5.8.2 - Europa Digitală
PN-IV-P8-8.2-EUD-2024-0051 2025 - 2027

Role in this project:

Coordinating institution: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI

Project partners: UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO); SCHUMAN ASSOCIATES SCRL (BE); ATAYA&PARTNERS (BE); POLITECNICO DI MILANO (IT); POLSKI KLASTER CYBERBEZPIECCZENSTWA CYBERMADEINPOLAND SP. Z.O.O (PL); CONTRADER SRL (IT); DIGITAL TECHNOLOGY SKILLS LIMITED (IE); Independent Pictures Limited (IE); MATRIX INTERNET APPLICATIONS LIMITED (IE); PROFIL KLETT D.O.O. (HR); SERVICENOW IRELAND LIMITED (IE); UNIVERSITA DEGLI STUDI DI BRESCIA (IT); UNIVERSITY OF DIGITAL SCIENCE GGMBH (DE); SKILLNET IRELAND COMPANY LIMITED (IE); IT@CORK ASSOCIATION LIMITED LBG (IE); ADECCO FORMAZIONE SRL (IT); UNIVERSITAT KOBLENZ (DE); VYSVYSOKE UCENI TECHNICKE V BRNE (CZ); MUNSTER TECHNOLOGICAL UNIVERSITY (IE); EUROPEAN DIGITAL SME ALLIANCE (BE); DIGITALEUROPE AISBL (BE); MYKOLO ROMERIO UNIVERSITETAS (LT); SVEUCILISTE U RIJECI (HR); NAUKOWA IAKADEMICKA SIEC KOMPUTEROWA- PANSTWOWY INSTYTUT BADAWCZY (PL); UNIVERSIDAD INTERNACIONAL DE LA RIOJA SA (ES); NATIONAL COLLEGE OF IRELAND (IE); Terawe Technologies Limited (IE); CY CERGY PARIS UNIVERSITE (FR); BANCO SANTANDER SA (ES); G & N SILENSEC LTD (Cyber Ranges LTD) (CY); RED OPEN S.R.L. (IT); VYTAUTO DIDZIOJO UNIVERSITETAS (LT); Nokia Networks France (FR)

Affiliation:

Project website: https://www.digital4security.eu/

Abstract:

DIGITAL4Security is an innovative and market-led European Masters Programme in Cybersecurity Management & Data Sovereignty that will equip European SMEs and Companies across multiple sectors with the cybersecurity management, regulatory and technical skills they need to prevent and respond to existing and emerging cybersecurity threats, helping to safeguard European industries from cyber-attack. Our Digital4Security Programme will be market and industry demand-led at its core, continuously adapting and evolving to address current and future cybersecurity risks and supporting European companies, and in particular SMEs, to minimise security risks, build robust defences, and effectively manage any cyber incident. DIGITAL4Security will contribute to the overall objectives of the DIGITAL Europe Programme by fast-tracking high numbers of graduates into high demand roles from the European Cybersecurity Skills Framework (ECSF), filling crucial occupational profiles that are critical to the ongoing security and success of European businesses. Our objective is to reskill and upskill graduates, professionals, managers, and business leaders to become ‘Cyber Confident’ and empowered with the cybersecurity management expertise they need to strengthen their cybersecurity infrastructure and implement robust incident prevention and management procedures. The global objective of this project is to design and implement a highly innovative, effective and sustainable European Cyber-security Masters Programme that will provide a continuous supply of qualified cybersecurity management experts, helping to address the growing cybersecurity skills gap that is endangering the stability of many European industries and public sector institutions. The programme will be designed to appeal to the broadest possible catchment of potential students and companies from many different sectors, demographics, and cultural backgrounds; ensuring gender equality and including students from diversity groups.

Expansion of the National Infrastructure Participating in the European Collaborative Ground Segment (COLGS-RO) Call name: P 5.6 - SP 5.6.3 - Solutii
PN-IV-P6-6.3-SOL-2024-2-0248 2024 - 2027

Role in this project:

Coordinating institution: UNIVERSITATEA DE VEST TIMISOARA

Project partners: UNIVERSITATEA DE VEST TIMISOARA (RO); UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO); ADMINISTRATIA NATIONALA DE METEOROLOGIE RA (RO); AGENTIA SPATIALA ROMANA (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation:

Project website: https://rocs.uvt.ro/

Abstract:

The ROCS project aims to expand the “Copernicus Ground Segment” infrastructure in Romania and, at the same time, to be the foundation for establishing a strategic infrastructure in the geospatial field.

Realization of the national spatial information infrastructure, CDI component (INIS-CDI) Call name: P 5.6 - SP 5.6.3 - Solutii
PN-IV-P6-6.3-SOL-2024-2-0207 2024 - 2026

Role in this project:

Coordinating institution: AGENTIA SPATIALA ROMANA

Project partners: AGENTIA SPATIALA ROMANA (RO); UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO); ESSENSYS SOFTWARE SRL (RO); INSTITUTUL E - AUSTRIA TIMISOARA (RO); INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO); INSTITUTUL NATIONAL DE CERCETARE -DEZVOLTARE PENTRU ECOLOGIE INDUSTRIALA - ECOIND (RO)

Affiliation:

Project website: https://infrainis.rosa.ro/

Abstract:

The project aims to create an infrastructure for the distribution of geospatial information according to the implementation obligations of the INSPIRE Directive provided for in the national legislation in force, regarding open data. The proposed solution will provide the technical means for dataset holding authorities under MCID authority to publish geospatial datasets compliant with the INSPIRE Directive. The developed infrastructure will be built on the basis of a core of free and open software solutions that have also demonstrated in other projects a high level of efficiency together with low implementation and administration costs compared to other proprietary solutions (eg: IT services for implementation within the Administration of a spatial data infrastructure compliant with the requirements, standards and regulations imposed by the INSPIRE Directive, carried out between June 2019 and March 2020). The uploading of the relevant data sets to the platform by the holding institutions will be done through a WEB application that will allow their automatic publication in the form of WEBGIS services. Also, users will have the possibility of creating metadata related to data sets or automatically loading them into the platform (XML). The basis of the platform will be the specific OGC services for search/discovery (CSW), visualization (WMS) and download (WFS) as well as a tool for validating compliance with INSPIRE norms. The project proposes 5 objectives that will raise the level of technology development to the TRL 6 level. As part of the activities, in addition to the training sessions, two case studies will be carried out with beneficiaries from the public and private environment in order to test and validate interoperability.

System for scanning and mapping IP resources in Romania, aimed at the early detection of cyber threats Call name: P 5.6 - SP 5.6.3 - Solutii
PN-IV-P6-6.3-SOL-2024-2-0279-P 2025 - 2026

Role in this project:

Coordinating institution: UNIVERSITATEA "ŞTEFAN CEL MARE" DIN SUCEAVA

Project partners: UNIVERSITATEA "ŞTEFAN CEL MARE" DIN SUCEAVA (RO); SAFETECH INNOVATIONS SA (RO); CERTSIGN SA (RO); Academia Tehnică Militară „FERDINAND I” (RO); UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO)

Affiliation:

Project website: https://usv.ro/cercetare/proiecte/proiecte-finantate-din-fonduri-nationale/

Abstract:

The IPRadar project, which consists in the development of a system for scanning and mapping IP resources in Romania, is an ambitious initiative to strengthen national cyber security, offering a proactive and comprehensive approach to identifying cyber threats, through the use of advanced technologies and intelligent data analysis . . The main objective is the hosting of an IT system, intended for cyber security, which is capable of actively scanning IT resources exposed in the Internet environment, from the territory of Romania, with the aim of early detection of cyber threats. The project provides a detailed picture of the level of existing security of the public cyberspace on the territory of Romania, advanced technologies for scanning ports, identifying services running on these ports, and associating these services with known vulnerabilities, by correlating them with vulnerability databases. The proposed solution responds to specific objectives and challenges. presented, by integrating the most advanced analytics and distributed big data processing technologies into a platform designed to ensure scalability, high availability, fault tolerance and extensibility, and which will contain components that will implement active scanning, data collection , analyzing and reporting IP addresses and related information from public cyberspace. The project will develop a modular, scalable platform capable of supporting integration with various external systems and databases. The platform will include dedicated components for distributed scanning, collection and aggregation, data indexing and querying, vulnerability management and threat intelligence, reporting and alerting, and API interfaces. The project meets the requirements of the beneficiaries and allows further development for applications intended for other beneficiaries

System for scanning and mapping IP resources in Romania, aimed at the early detection of cyber threats Call name: P 5.6 - SP 5.6.3 - Solutii
PN-IV-P6-6.3-SOL-2024-2-0279 2024 - 2026

Role in this project:

Coordinating institution: DIRECTORATUL NATIONAL DE SECURITATE CIBERNETICA

Project partners: DIRECTORATUL NATIONAL DE SECURITATE CIBERNETICA (RO); SAFETECH INNOVATIONS SA (RO); CERTSIGN SA (RO); UNIVERSITATEA "ŞTEFAN CEL MARE" DIN SUCEAVA (RO); Academia Tehnică Militară „FERDINAND I” (RO); UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO)

Affiliation:

Project website: https://dnsc.ro/pagini/proiect-ipradar

Abstract:

Portable, resilient and secure cloud data migration system Call name: P 5.6 - SP 5.6.3 - Solutii
PN-IV-P6-6.3-SOL-2024-0068 2024 - 2026

Role in this project:

Coordinating institution: Academia Tehnică Militară „FERDINAND I”

Project partners: Academia Tehnică Militară „FERDINAND I” (RO); UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI (RO); CERTSIGN SA (RO); UNIVERSITATEA MARITIMA DIN CONSTANTA (RO); INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO)

Affiliation:

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

Abstract:

The CORAL project aims to create a portable and secure platform made up of processing equipment, storage, communications, security and software for the cloud, which can be used to implement "disaster recovery" or "business continuity" scenarios. The platform must provide the ability to migrate data, containers or virtual machines to and from virtualized / cloud environments. The final solution must be delivered in a compact, rugged format, comply with applicable national tempest standards and be able to operate in a cluster.

Marketplace for technology transfer of R&I data, software and results Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2019-0241 2021 - 2024

Role in this project:

Coordinating institution: BEIA CERCETARE S.R.L.

Project partners: BENE CERCETARE S.R.L. (RO); UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO); National College of Ireland (IE); Digital Technology Skills Limited (IE)

Affiliation:

Project website: https://beia-cercetare.ro/smardy/

Abstract:

Smardy develops a research data marketplace for technology transfer built as a software and data carpentry. The marketplace will foster the collaboration between research data producers (of technology) and business actors (interested in the take-off of project results and experiments). This will lead to an easier take-off for innovation and technology transfer, as academia, industry, and government would find it easier to exchange curated datasets, technology, and tools to foster economic and social development.

From a business perspective, such a marketplace puts together data producers and data consumers to foster the delivery of cross-cutting solutions based on an open innovation model. The incentive for researchers and research organisations is twofold: they get the chance to accept who gets to use their own data and under what terms—an innovation leveraging distributed ledger technologies—and they get paid while sharing their data in a pay-per-access fashion.

From an economic perspective, the marketplace integrates tools for smart semantic discovery of relevant data, while promoting an Open Source culture where researchers do not need to pay for re-executing experiments if redundant. Thus, research funding has a chance to propel the advance of technology on the shoulders of already-existing findings.

There are multiple elements of innovation, from the use of blockchain technology to provide secure data access to the data, to the proposal of a data formats catalogue for sharing science data, and the tools for smart searching of info, all designed to allow an edge advantage in the marketplaces where we found no similar technology to actually exist today.

Federated Learning for Human Mobility Call name: P 4 - Proiecte de Cercetare Exploratorie, 2020
PN-III-P4-ID-PCE-2020-2204 2021 - 2024

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO)

Affiliation:

Project website: https://fargoprojectro.com

Abstract:

Today’s massive adoption of machine learning in various fields essentially stems from two factors. First, we witness an exponential growth of data being continuously produced and stored. This is in particular true for location traces streaming from smartphones. Second, developers now have access to ready-to-use machine learning algorithms from open source libraries. However, this is not yet the case for federated learning, partly because this approach is more recent than machine learning, but more importantly because providing reusable components to support federated learning is fundamentally a multidimensional problem. In addition to the generic dimensions it shares with the machine learning approach, i.e., what algorithms, on what data, for what goal, the federated learning approach depends on several additional key dimensions, e.g., what data and algorithmic partition model, what communication protocol, what failure model, what security and privacy constraints, what scalability requirements, etc. This additional complexity makes it difficult for an average developer to take advantage of federated learning. The main objective of this project is precisely to study how these different dimensions interact, when devising a generic software platform supporting a wide range of federated learning solutions in the context of mobility modeling and prediction. In doing so, we will build open source software artefacts supporting federated learning for mobility prediction.

Computer system for real-time transcription of speech to text for the Romanian language and recognition of emotional states in emergency calls 112 Call name: P 2 - SP 2.1 - Soluţii - 2021
PN-III-P2-2.1-SOL-2021-2-0223 2021 - 2023

Role in this project:

Coordinating institution: Academia Tehnică Militară „FERDINAND I”

Project partners: Academia Tehnică Militară „FERDINAND I” (RO); ATOS CONVERGENCE CREATORS S.R.L. (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation:

Project website: https://mta.ro/odin112/

Abstract:

The aim of the project is the development of an integrated computer system for real-time transcription of speech to text for Romanian and recognition of a caller's emotional states from emergency calls (to 112), using machine learning / deep learning solutions, functionally independent of other Internet resources. The results will improve the management of records resulting from 112 emergency calls, increase the quality, efficiency and effectiveness of 112 call management activities by recognizing and classifying the caller's emotional states from emergency calls, simultaneously with the interoperability through standardized interfaces of the computer system with the SNUAU system.

Clinically-validated INtegrated Support for Assistive Care and Lifestyle Improvement: the Human Link Call name: P 3 - SP 3.5 - Programul "Active and Assisted Living"
AAL2017-63-vINCI 2018 - 2021

Role in this project: Project coordinator

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

Project partners: INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO); CONNECTED MEDICAL DEVICES SRL (RO); INSTITUTUL NAT.GERONTOLOGIE SI GERIATRIE "ANA ASLAN" (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO)

Project website: https://vinci.ici.ro/

Abstract:

vINCI proposes the development of an integrated and validated evidence-based Internet of Things (IoT) framework to deliver non-intrusive monitoring and support for older adults to augment professional health care giving. By integrating proven open-data analytics technology with innovative user-driven IoT devices in four standardized kits, and with business models, vINCI aims to assist caregivers and provide smart care for older adults at out-patients clinics and outdoors. To verify, test (clinical validation), and identify its added value, two multi-disciplinary controlled pilots (in Romania and Cyprus) and two open-call validations (in Poland and Slovenia) will be deployed in controlled environments for real-life use cases involving older adults across Europe. The final goal is to demonstrate a systematic approach to ensure the highest level of quality control, automated monitoring, and data governance.

Strategy for national participation in the new European context for coordinating security and space industry research Call name: P 2 - SP 2.1 - Soluţii - 2020 - 3
PN-III-P2-2.1-SOL-2020-3-0415 2020 - 2021

Role in this project:

Coordinating institution: AGENTIA SPATIALA ROMANA

Project partners: AGENTIA SPATIALA ROMANA (RO); Academia Tehnică Militară „FERDINAND I” (RO); Ministerul Apararii Nationale prin Agentia de Cercetare pentru Tehnica si Tehnologii Militare (ACTTM) (RO); INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO); INSTITUTUL DE STIINTE SPATIALE-FILIALA INFLPR (RO); INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE AEROSPATIALA "ELIE CARAFOLI" - I.N.C.A.S. BUCURESTI (RO); INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE TURBOMOTOARE - COMOTI (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); UNIVERSITATEA DE STIINTE AGRONOMICE SI MEDICINA VETERINARA (RO); INSTITUTUL PENTRU TEHNOLOGII AVANSATE (RO)

Affiliation:

Project website: http://www.rosa.ro/index.php/ro/cercetare/proiecte-nationale/4889-proiect-strategie-3s

Abstract:

The project aims to develop the National RDI Strategy for the security industry and space domains for the strategic planning cycle 2021-2027, related to the new European context of coordination of research for the security industry and space domains.

The development of the space and security industry, which includes also the defense industry, is essential for national development by ensuring, without limitation to: the increase of national power; integration of the country in the context of political alliances (EU, NATO, ESA, EDA, OECD), both as an industrial and technological actor; efficient use of the competitive capacity of national industry for the proposed period of development towards the EU average.

The attainment of the national strategy specific to these areas is achieved in a favorable European context in which the role of space, security and defense is significantly growing, the coordination framework is redefined (setting up DG DEFIS, setting up the European Space Program Agency - GSA / EUSPA , etc.), simultaneously with the definition of the new financial planning cycle for the period 2021-2027.

The implementation of the project, proposed by a consortium consisting of the main national actors in the fields of security industry and space, will be ensured through a wide consultation of organizations working in the field (responsible public institutions and authorities, research organizations, universities, SMEs, industry, industrial and professional associations, etc.).

Identifying national competences and concerns in the fields of security industry and space, defining / identifying national priorities in relation to European policies, identifying tools to support and increase capacities and competences, analyzing the legislative, financial and technological frameworks specific to these fields will be substantiating elements of the strategy.

The Robots and the Society: Cognitive Systems for Personal Robots and Autonomous Vehicles Call name: P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0734 2018 - 2021

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); INSTITUTUL DE CERCETARI PENTRU INTELIGENTA ARTIFICIALA ,,MIHAI DRAGANESCU'' (RO); INSTITUTUL DE MATEMATICA "SIMION STOILOW" AL ACADEMIEI ROMANE (RO); UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA (RO); UNIVERSITATEA "DUNAREA DE JOS" (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://aimas.cs.pub.ro/robin/

Abstract:

ROBIN is a user-centered project designing software systems and services for the use of robots in an interconnected digital society, and enables companies to develop complex, intelligent and ready-to-use products and services for these users, as well as for the society as a whole. The project covers a diverse range of robots: assistive robots for the support of people with special needs, social robots for interaction with store customers, and software robots that can be installed on intelligent vehicles to achieve autonomous car driving. The project combines advanced techniques and technologies of artificial intelligence, human-robot interaction, interactions with a pervasive intelligent environment, and Cloud processing.

ROBIN-Social develops integrated and easily configurable solutions for the personalization of assistive and social robots, with a cognitive and autonomous character.

ROBIN-Car develops computer vision methods, which resolves a large and sophisticated plethora of tasks for automated driving, and a prototype system which will be tested on an electrical vehicle.

ROBIN-Context creates a support platform for the semantic representation and efficient management of data that becomes context in scenarios of personalized robotic assistance and AADS.

ROBIN-Dialog develops a set of scenarios for micro-worlds and the technology for the Romanian language processing to achieve situational dialogs in these micro-worlds.

ROBIN-Cloud builds a support platform for collecting data coming from the sensors of robotic systems and IoT systems that offers Cloud Edge and Cloud Robotics computing.

The complex project, through the interaction of its developed components, brings significant contributions in fundamental research, applied research, innovation, and technological transfer, offers advanced scientific and technical services, and contributes to the enhancement of the institutional capacity of the 4 partners in the consortium.

Preservation and Capitalization of Romanian Literary Patrimony by Means of Intelligent Digital Solutions for Data Mining and Systematisation Call name: P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0821 2018 - 2021

Role in this project: Key expert

Coordinating institution: INSTITUTUL DE ISTORIE SI TEORIE LITERARA "G.CALINESCU"

Project partners: INSTITUTUL DE ISTORIE SI TEORIE LITERARA "G.CALINESCU" (RO); UNIVERSITATEA LUCIAN BLAGA (RO); INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO)

Project website: https://intellit.ici.ro/

Abstract:

The goal of the present project is to set up an intelligent digital platform able to provide services of search in three databases: General Dictionary of Romanian Literature (GDRL 2.0 – database including cca. 5000 entries, in Romanian, on Romanian writers from the beginning to date, whereas the English version includes 200 entries on representative Romanian writes), The Chronology of Romanian Literary Life (CRLL – database including abstracts of all relevant articles in Romanian cultural journals between 1944-2000) and Canonical Works of Romanian Literature (CWRL – database including the collected works of 28 representative Romanian writers exempt from the copyright law). The services provided by the platform are meant to cover: a semantic search for information, mining for emerging concepts at various time intervals, semantic clustering of documents, exploring intertextuality from the vantage point of lexical and semantic connections among textual fragments and a survey of writing evolution at various literary periods.

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: Partner team leader

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.

Hybrid VLC/IR-RF Communication for Smart Space Based on Multi-Functional Thermal Image Sensor Module Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2017-02-0020 2017 - 2020

Role in this project: Key expert

Coordinating institution: BEIA CONSULT INTERNATIONAL S.R.L.

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Project website: http://www.beiaro.eu/hybrid-vlcir-rf/

Abstract:

The project will target the building block actors by developing a hybrid VLC/IR-RF (Visual Light Communication/InfraRed-RadioFrequency) system based on an innovative integrated multi-functional thermal image sensor module with highly sensitive, low cost, and low power consumption.

This module will be capable of multi-purpose sensing for the monitoring of the energy consumption and controlling the environment on houses, buildings, and offices, which could avoid the privacy issues with ultra-low resolution (80x80) micro-bolometer, including presence detection, motion detection, and non-contact temperature detection. Also, the module will be able to run an image processing algorithm based on artificial intelligence with low computation and energy requirements, enabling counting of persons or objects, tracking, and distinction of objects such animals. The goal is to develop an integrated multi-functional module with the smallest and smartest infrared design from a single compact sensor.

Furthermore, the proposed VLC/IR-RF system will be able to integrate existing sensors to detect the physical and chemical information at home, building and office.

Virtualized Video Services (VIRTUOSE) Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2017-02-0023 2017 - 2020

Role in this project: Key expert

Coordinating institution: BEIA CONSULT INTERNATIONAL S.R.L.

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Project website: http://www.beiaro.eu/virtuose/

Abstract:

The main goal of VIRTUOSE project is to develop video services utilizing virtualization techniques. With the use virtualization techniques, we can develop service, which are scalable and secure, and can easily be deployed to different computing platforms. This enables the partners to leverage their services to new markets, and offer cost-efficient solutions.

The VIRTUOSE project focuses on initially on selected use cases, which are: cloud gaming, video analytics and surveillance, video conferencing, cable TV and video streaming (live and video-on-demand) services.

Virtualization is expected to benefit all those use cases significantly. Project’s results will be visible through demonstrators targeting tests which conclusions will be made public in order to disseminate the best practices in the domain. It is also the intention of the project to push its results to standardization bodies. Business models and opportunities will be explored during the project.

The business impact of the project will be the further delivery of new products and services utilizing virtualization techniques as an enabler.

Wearable IoT Network Solution for Work Safety in Hazardous Industrial Environments Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2017-02-0038 2017 - 2020

Role in this project: Key expert

Coordinating institution: ALTFACTOR S.R.L.

Project partners: ALTFACTOR S.R.L. (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Project website: http://www.beiaro.eu/winshi/

Abstract:

Despite prevalence of on-going scientific and technical efforts in connecting anything everywhere in the mobile communication research landscape, there are still needs of agile, cost effective and yet reliable solutions in local area where no mobile communication like GSM/UMTS is available or where local radio network such as Wi-Fi is not suitable. In this project, we offer an ad-hoc, agile and reliable communication solution for both condition monitoring of the operations and safety of the workers in hazardous „Industry 4.0‟ work environments in order to prevent unpredictable operation failures and work accidents. To reduce time to market and the barriers imposed by deployment cost, we explore how to blend technologies together into an open platform and repurpose some of the existent infrastructure. For this purpose, different kinds of IoT sensors, such as wearable devices, that capture data from work environment and vital parameters of work safety will be exploited which could extract maximum amount of information from the hazardous production sites. The proposed solution will focus on underground coal mines, tunnel/underground transportation / construction sites, waste management industries and manufacturing environments as the main application fields since these work environments are very good examples of hostile „Industry 4.0‟ production sites where radio communication is very challenging. The aim is to improve safety, operation management and manufacturing environments and evaluate industrial accident risks more accurately owing to wearable sensors that collect information such as vibration and heat from worker equipment as well as ergonomic position of workers and gases like methane, firedamp and carbon monoxide. These sensors will also enable failure prediction for continuous operation, tracking of health status and physical location of workers which will guide search and rescue units in case of emergency.

Smart City 3D simulation and monitoring platform Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2016-0043 2017 - 2019

Role in this project: Key expert

Coordinating institution: ALTFACTOR S.R.L.

Project partners: ALTFACTOR S.R.L. (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Project website: http://www.beiaro.eu/citisim/

Abstract:

Lately, the introduction of ICT technologies in our daily tasks has opened up new pathways of cooperation and organization. Our society is evolving towards a new digital era in which citizens will become more and more connected to their surrounding environment. Cities are the core of our society and so they will need to embrace and support this evolution of their citizens. As a consequence of this process and thanks to new technological improvements, a considerable number of research projects and laboratory pilots have been deployed to study how to deal with problems such as traffic, pollution, mobility, energy consumption, etc. A complete digital ecosystem is growing within the smart city concept which has an estimated market worth of $1,134.84 billion by 2019. However, along with the variety of services, technologies and protocols being utilized in smart cities, service development and service deployment in the context of smart city monitoring and control is likely to be problematic for companies, city councils and citizens. The absence of a common platform with advanced services and tools for the smart city is hindering the effective development of the associated ecosystem. This type of ICT platform, also called the e-infrastructure, will be as important a regulator for the future development of cities as energy infrastructure and transport infrastructure have been in past decades. Under this context, CitiSim´s project main goal is devoted to the design and implementation of a new generation platform for the smart city ecosystem. This platform will provide a powerful monitoring and control infrastructure to enable planners to make critical management decisions on tactical and strategic levels based on the knowledge provided by the specific platform developed. For a natural interaction and better understanding of the events that happen in the city, 3D visualization techniques as augmented virtuality and augmented reality will be explored.

Cunoașterea situației globale în operațiuni de salvare, calamitate și inspecție Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2016-0033 2017 - 2019

Role in this project: Key expert

Coordinating institution: BEIA CONSULT INTERNATIONAL S.R.L.

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); ETA2U SRL (RO)

Affiliation: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Project website: http://www.beiaro.eu/3dsafeguard/

Abstract:

At present, calamities such as fires in buildings and bomb threats in stations/airports occur frequently. During such large incidents, organisations like fire departments, police, hospitals etc. work together, but the information about the actual actions is limited and information sharing between organisations is restricted. 3DSafeguard proposes a solution offering global situational awareness for both individual actors carrying out the operation and for the coordinating commanders. This situational awareness is enabled by integrated data, control and communication workflow between the abovementioned parties.

ALADIN Airports Landside and Air-land Side Attacks’ Detection and Prevention Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2016-0038 2017 - 2019

Role in this project: Key expert

Coordinating institution: CERTSIGN SA

Project partners: CERTSIGN SA (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Project website: http://www.beiaro.eu/aladin-airports-landside-air-land-side-attacks-detection-prevention/

Abstract:

The cyber-security is now the key issue for the aerospace industry and services who manage the airspace and organize inspections of the equipment driving by. Thereby, we propose ALADIN that aims to prevent failures caused unexpectedly by the hacker at Landside area such as parking and baggage check services, and Air-landside areas that includes for instance the communication between aircraft on the ground and air traffic control. The focus of the project are primarily as follow: ● Analyze the risks and vulnerabilities of airport information & control systems and the ecosystem of airport assets/objects. This investigation will provide dedicated methodologies and tools to assess the resiliency level of the Airports, ● Define the cyber, physical or combined threats scenario that could target these airport information & control systems or any other airport assets, ● Design and implement the Attack Monitoring, Prevention and Detection building blocks in air-landside and landside areas to react smartly and quickly to the cyber-attacks with adapted intrusion prediction, detection and recovery countermeasures, ●Developing lightweight cryptographic techniques to assure a data confidentiality, ●Develop a simulation environment platform to evaluate the methods and techniques defined and implemented in ALADIN to assess their effectiveness with respect to dependability, security and performance, ●Define different cyber-security services that ALADIN could provide to an airport, ● Demonstration by embedding some attacks scenarios with their related security countermeasures. The result of ALADIN will be a Cyber protection and detection framework, incorporating the above described objectives. They will be marketable as standalone components or fully integrated system as soon as the project is over in order to address either existing or new airports sites. The estimated time for marketing techniques, tools or methodologies is of max 1 year from finalizing WP 5, 6, in 2019.

ODSI-On Demand Secure Isolation Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2016-0039 2017 - 2019

Role in this project: Key expert

Coordinating institution: B & S RESO NET SRL

Project partners: B & S RESO NET SRL (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Project website: http://www.beiaro.eu/odsi/

Abstract:

ODSI (project TRL: 3 to 5) will deliver new security models with the properties and the benefits of both hardware and software approaches. These models deliver only certified and proved (CC) minimal properties for isolation, with the goal of being used in mass production (low-cost and constrained CPU) in all approaches that require context isolation: M2M, IoT, network infrastructure sharing etc. Management systems of these isolated contexts offer the opportunity to qualify and authenticate the security level of remote devices using standardized protocols. ODSI solutions will guarantee / certify the lowest common subset of software and hardware with the goal to prove the isolation property. ODSI project ambition provides to the industry:

•New Models and Security Standards: a model of hardware / software security, leaving to the industry the choice of their strategies to distribute security objectives between both parts of their platforms; a minimal software standardized interface (API) allowing the industry to implement their services in the isolated environments and a communication protocol allowing to propagate the isolation properties from a first isolated context towards a second isolated context.

•The definition of the evaluation framework and the necessary elements for Common Criteria certifications (e.g. protection Profiles) allowing to reach a global security assurance level of the delivered isolation models and derived solutions (hardware / software). This framework will include two aspects, the certification of the elementary bricks at the highest logical/physical assurance level and the “lego methodology” to reach a global assurance level for the system when combining the certified bricks.

•USEs CASEs as technical evidence of ODSI concepts.

•Dissemination of ODSI high-level models, Protection Profiles and open source use cases implementation, as well as the standardization of the interfaces proposed for the IoT and M2M sectors.

Social Media and Digital Interaction Intelligence Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2016-0013 2016 - 2019

Role in this project: Key expert

Coordinating institution: BEIA CONSULT INTERNATIONAL S.R.L.

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); SIVECO ROMANIA SA (RO)

Affiliation: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Project website: http://www.beiaro.eu/somedi/

Abstract:

SoMeDi will unlock the implicit value in digital interaction data by turning it into Digital Interaction Intelligence that can drive and support various business processes and use situations. Our consortium has attracted both leading technology experts and strong use case owners from B2C and B2B platforms in SaaS, Digital Security, Digital Entertainment and Gaming, as well as strong European Brands with vital interests in Competitive Intelligence and Customer Engagement in highly competitive global markets. Demonstrators as well as experimentation scenarios across different vertical applications ensure that the advances in research and technology can be utilised from all angles under real industrial constraints and lead to relevant economic valorization. SoMeDi’s goals are 1) to develop novel methods and tools to efficiently analyse digital interaction data and especially social media content separately and as a combination, and how to connect this data to various production and business processes to support and automate them, and 2) to explore how to use social media actively and efficiently growth hacking and marketing both in B2C and B2B markets. More precisely, in terms of social media analysis, SoMeDi will investigate: (1.1) methods to produce improved sentiment analysis and opinion mining to increase perception of the user’s attitude towards topics and concepts at aspect level, (1.2) methods that analyse user activities and online-phenomenon, such as detect communities and spread of messages in social networks, and (1.3) a method for providing decision-support of the analysed data for different purposes of use. In terms of social media use, SoMeDi will develop a methodology for effectively entering and acting in social media and use it for growth hacking, customer support and marketing in connection to both business users and consumers. A guidebook of using social media with business users will be produced summarizing numerous social media services.

Intelligent forest protection monitoring system based on wireless sensor network Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2016-0009 2016 - 2019

Role in this project: Key expert

Coordinating institution: BEIA CONSULT INTERNATIONAL S.R.L.

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Project website: http://www.beiaro.eu/seaforest/

Abstract:

The objective of the project is to monitor, detect and evaluate environmental incidents in a forest by using a resilient wireless sensors network (WSN) with sensors analyzing sound and/or vibration data. Furthermore, the system will provide analysis and visualization toolkits for rapid intervention.

Environmental Sensing To Act for a Better quality of LIfe: Smart Health Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2016-0011 2016 - 2019

Role in this project: Key expert

Coordinating institution: SIVECO ROMANIA SA

Project partners: SIVECO ROMANIA SA (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation: BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Project website: http://rd.siveco.ro/portal/web/guest/63

Abstract:

The main application scope of ESTABLISH is products, services and solutions on an individual level utilizing environmental sensors (air quality, noise, heat, temperature) and combining the environmental input with other data sources, for example personal wearable sensors, weather conditions etc. ESTABLISH will enable to go from monitoring the indoor and outdoor environment and traffic to managing the environmental conditions on a personal level and thus improving the quality of life, reducing health costs and supporting vulnerable groups such as the elderly or patients.

Real-time Data Processing Platform for Smart Cities: Making sense of Big Data Call name: Projects for Young Research Teams - RUTE -2014 call
PN-II-RU-TE-2014-4-2731 2015 - 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: http://dataway.hpc.pub.ro

Abstract:

More and more applications generate and handle very large volumes of data. In particular, this is true for Smart City applications, which attract a rapidly increasing interest from government, companies, citizens, developers, scientists, etc. Applications are fed with huge amounts of input data, in various formats, from a continuously increasing number of sources (sensors, governmental, regional, and municipal sources, citizens, public open data sources, etc.), and are describe by complex workflows that impose real-time processing for decision taking. DataWay project will develop generic principles, methods and algorithms encapsulated in a real-time processing platform for Big Data, which supports Smart City applications that will be gathered / routed / stored via mobile devices and processed / diffused via a more standard Cloud. The main scope of this platform is to extract valuable data to be used in real-time decision taking. We describe these data obtained by different techniques of data reducing, data cleaning, and data aggregation. DataWay platform will be connected to multiple streams of data, analyze data as flows and deliver data to a Cloud infrastructure. The validation of the proposed processing platform we will use applications that, based on pattern recognition and extraction, will assist transportation system in cities (e.g. traffic optimization) and crowd management (reliable communication, multimedia data sharing, path formation, message delivery, etc.).

Mobility Beyond Individualism: an Integrated Platform for Intelligent Transportation Systems of Tomorrow Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-0321 2014 - 2017

Role in this project: Project coordinator

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://mobiway.hpc.pub.ro

Abstract:

Traffic congestions are realities of urban environments, partly because road infrastructure capacities cannot cope anymore with the increase rate in the number of cars. This, coupled with traffic incidents, work zones, weather conditions, makes traffic congestions a major concern for municipalities. Advanced traffic control technologies may lead to more efficient use of existing road network systems, resulting in reduced traffic congestion, delays, local pollutant emissions, energy consumption and improved safety. The communication capabilities provided by modern mobile devices offer opportunities for the development of traffic control applications, where cars and devices within the road infrastructure collaborate to solve traffic problems that directly influence the quality of life. Intelligent Transportation Systems (ITS), such as advanced traveller information systems, travel advisories, and others, attempt to relieve congestion and decrease travel time by assisting drivers on making informed decisions while driving, by selecting better routes, departure times, and even various modes of travel. The main drawback of current ITS platforms is their focused or limited set of solutions, and the inadequacy to support collaborative features. Due to such features it is often difficult or even impossible to introduce a new service from the scratch, since the required quantity of data hinders the quality of the service itself. We already experienced similar issues developing at UPB the Traffic Collector application. This is an experimental ITS application designed to support advanced ITS congestion and pollution control features. Unfortunately, the amount of data required to construct accurate traffic models acted as a barrier to a prototype implementation of the concept on city-level scales.

Hence, together with the BEIA’s experience as an ITS integrator, MobiWay proposes the development of a collaborative platform designed to support ITS applications by acting as a middleware connection hub, offering an optimal support to different ITS partners and municipalities through and a data sharing and ITS support service integration platform.

Our goal is to provide a platform of ecosystems, which allows engaging communities in exploiting the shared value of mobility and collaborative cultures that can be leveraged beyond the classical views of social networks, respectively the current trends of service creation. The project sets out a new vision for using mobile computing capacities for provisioning and support of ubiquitous connectivity and real-time applications and services for smart cities’ needs. Data procured from highly distributed, heterogeneous, real and virtual devices (sensors, actuators, smart devices), in the range of millions, will be automatically managed, analysed and controlled by distributed services. The consortium will develop and demonstrate automatic procurement and management of ITS big data as a real-time cloud-based service in a scalable distributed cloud platform. A demonstration testbed will validate smart city scenarios for (a) business context and (b) societal context.

The project will generate new possibilities of extra value and improvement for already existing ITS solution providers by allowing them to share information and services with each other, besides their standard user base. As an example, daily mobility is better supported by choosing suitable traveling routes, given the data shared between multiple ITS platforms. Also it brings support for novel service ideas and initial development efforts by boosting up collaboration with mobility users and fostering participation in the ecosystem of services. Informing the user on energy and environmental impacts, and on eventual cost/price impacts to the user and to communities, may also lead to more sustainable decisions regarding the transport mode choice in the direction of a low carbon society.

Information system based on cloud services, accessible through mobile devices, for quality improvement of products and business development in farms Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-0870 2014 - 2017

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); CBM ELECTRONICS S.R.L. (RO); FUTURE IT EXPERT S.R.L. (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://cluefarm.hpc.pub.ro

Abstract:

E-services allowed transition from the punctual processes approach, in agriculture, in which each process was treated isolated, to the integrated approach, that allows the unified management of all processes. In this context, the agricultural greenhouse can be treated as a complex system, in which soil moisture, a decisive factor in plant growth is correlated with technical factors (other measured measures, type of crop, soil type, season, geographical location), with economic efficiency and the ergonomics of the farmer’s workplace or the influences of other adjacent systems and phenomena (climatic, hydrological, access to expertise, legal regulations, etc.). The overall objective of the proposal is to create an intelligent, integrated, cloud services-based system, using advanced computer technology, automation and communications to increase product quality and business development in the area of farming. The specific objective is to create an integrated control system for controlling the process in greenhouse crop production, using the services available on mobile devices. The services also offer simple and cheap integration of the existing infrastructure in various types of companies involved in agriculture. The added value generated by the system results from the creation of a virtual space that can be shared by several categories of companies:

- Agricultural farms, greenhouses particularly

- Companies providing information and training services to farmers

- Companies supplying equipment and agricultural materials, for modern technology-based advertising for agricultural products, seeds, tools, etc..

- Associations of farmers, interested in a virtual environment for collaboration between farms / companies

- Other entities interested in working with listed categories (eg local/central government services)

The project increases the quality of agricultural products grown in greenhouses by combining several advanced cloud services used on the entire value creation chain.

The primary chain services provide real-time measurement of specific parameters (humidity, temperature, soil composition) and direct drive of watering equipment, depending on the specific culture of each lot.

The secondary chain services (support) provides:

- Setting up lots within the greenhouse to allow differential treatment depending on the culture;

- Information / training of farmers on the most appropriate methods / tools / techniques for cultivation of various crops:

- Commercial advertising, for suppliers of specific equipment and materials (seeds, fertilizers, tools specifically destined to be used in greenhouses);

- Liaison with local/central government, for rapid and efficient information of measures / regulations or situations of interest to farmers.

- Interoperability with platforms that monitor environmental conditions (meteorology, hydrology, pollution) to retrieve warning/alert messages.

All services are available on mobile platforms.

The project will end with an experimental model of the integrated system, which includes the cloud platform hosting the services, the system of sensors (the method of measuring the soil moisture is intended to be patented) and the driving system of the watering equipment.

The platform allows the connection of any type of automation device already installed in the greenhouse, by appropriate web service connector. If the farmer does not have such facilities, he will have to purchase only sensors that will be positioned in the appropriate places and actuators for watering and for accesing the services he will subscribe to the web service, which in turn will provide information in the desired format and will drive the watering equipment.

Call name: Premierea obtinerii atestatului de abilitare - Competitia 2015
PN-II-RU-ABIL-2015-2-0020 2015 -

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website:

Abstract:

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List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager	Download (32.98 kb) 28/04/2016
R&D activities in enterprises
Peer-review activity for international programs/projects	Download (20.96 kb) 28/04/2016