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 (04/05/2024)

Expertise & keywords

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.).

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.

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.

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:

FILE DESCRIPTION	DOCUMENT
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