BrainMap

Mr. George Suciu

Dr. Ing. Ec.

R&D and Innovation Manager - BEIA CONSULT INTERNATIONAL S.R.L.

Researcher | Scientific reviewer | Entrepreneur | Manager | Consultant

Web of Science ResearcherID: G-9070-2014

Expertise & keywords

Fintech Platform Solution for Sustainable Energy System Intracting and Contracting boosting energy saving and renewable energy Call name: P 3 - SP 3.2 - Proiecte ERA.NET - COFUND
COFUND-ENERDIGIT-FinSESCo 2022 - 2024

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); Effiziente.st Energie- und Umweltconsulting e.U. (AT); Stiftung Europe University Viadruna (DE); Wellness TechGroup (ES); SEnerCon GmbH (DE); Vellore Institute of Technology (IN); QiGrid Technologies Private Limited (IN); Emerson Control and Automation (IN); Institute for Energy Studies - Anna University (IN); Baer Messtechnik (DE); Frank Bold Advokáti s.r.o, (CZ)

Affiliation:

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

Abstract:

The mission of the project is allowing a wave of decarbonisation projects easing the set-up of Energy Performance and Energy Savings Performance Contracting EPCo/ESPCo by end-to-end digitalisation of the energy contracting (and the intracting process for public bodies and larger companies). Using pre-existing data from buildings passes and energy audits, a gamified investment process, providing diversification options in an investor dashboard, smart contracts, a digital encrypted meter- based repayment process and machine learning-based fault detection during operation will be offered by platform modules. A guidance tool allows potential portal developers to steer their projects into the right direction. The competencies and diversity of the partners from 5 EU countries + India include skills for setting up energy related services, also using machine learning and crypto-technology, smart metering, legal tech for energy contracting, and social research for a green energy transition.

Promoting capacity building and knowledge for the extension of urban gardens in European cities. Call name: P 3 - SP 3.2 - Proiecte ERA.NET - COFUND
COFUND-ENUTC-U-GARDEN-1 2022 - 2024

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); University of Valencia. Polibienestar Research Institute (ES); Polytechnic University of Valencia (ES); Warsaw University of Technology (PL); Warsaw University of Life Sciences (PL); University of Gothenburg (SE); Municipality of Gothenburg (SE); Region Västra Götaland (SE); Valencia City Council (ES); Consell de L’Horta de Valencia Consortium (ES); City Hall of Warsaw (PL); Commons Lab Foundation (PL); SAM Rozkwit Association (PL); One Muranów Foundation (PL)

Affiliation:

Project website: https://www.beiaro.eu/u-garden/

Abstract:

Urban gardens are a key component of the traditional urban and peri-urban landscapes of the main European cities. Beyond food production and consumption, urban gardens provide a wide range of ecosystem and social services, with a positive impact on the urban and socio-residential environment. Thus, the main aim of this project is to promote the implementation of urban gardens and agroforestry experiences as key components of the strategic framework for sustainable urban development in European cities, from an interdisciplinary approach.

Climate smart food innovation using plant and seaweed proteins from upcycled sources Call name: P 3 - SP 3.2 - Proiecte ERA.NET
ERANET-SUSFOOD-FOSC-IPSUS 2022 - 2024

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); University of Greenwich, Natural Resources Institute (GB); University of Parma / Department of Food and Drug (IT); Istanbul Sabahattin Zaim University Department of Food and Nutrition, Department of Nutrition and Dietetics, Department of Food Engineering (TR); Ecole Nationale d'Agriculture de Meknes (MA); SSICA, Environment Department. Sustainability and Enhancement Area (IT); Faculty of Medicine and Pharmacy of Rabat, Mohammed V University UPR of Pharmacognosy (MA); Kaanlar Food Inc. Quality Assurrance and Product Development Department (TR); KEDGE Business School Accounting, Finance and Economics (FR)

Affiliation:

Project website: https://www.beiaro.eu/ipsus/

Abstract:

Food choices impact human and planetary health. The negative environmental impacts of the food system, increasing food insecurity and the prevalence of unhealthy diets are driving policymakers, scientists, companies and consumers to demand sustainable solutions. Globally, livestock emits 14.5% of GHGs, causes 30% of biodiversity loss, and meat demand is projected to double by 2050. Transitioning diets to more sustainable sources of protein is crucial. Plant-based proteins are currently the fastest growing food trend but are dependent on soy. The IPSUS project will exploit opportunities for extracting upcycled plant and seaweed proteins from raw materials otherwise destined to join the ~1.6 billion tonnes of annual global food loss and waste (FLW). Six protein-rich sources (pumpkin, hazelnut, grape, potato, brewers' spent grain, seaweeds) were selected for study across partner countries (UK, Italy, Romania, Turkey, Morocco). The quantity, quality and upcycling opportunities of FLW along these value chains will be investigated. Novel protein extraction methods will be tested to identify less energy-intensive and more affordable techniques. The related nutritional quality and safety of the plant and seaweed sources and upcycled proteins will be assessed, taking bio-accessibility and potential allergenicity into account. Initially, incorporation of upcycled FLW proteins into meat alternative and cheese alternative formulations will be at lab-scale, followed by prototype development at pilot-scale by the industrial partners. Functional and sensory acceptability of the prototypes will be compared to the existing products, additionally targeting improved nutritional (low salt, sugar, fat) and cleaner label (less chemical additives) offerings currently lacking in the plant-based meat and cheese alternatives. Exploration of consumer behaviors, preferences and the enabling regulatory and policy environment will reveal drivers and barriers of the sustainable upcycled plant-based protein shift.

Solutions for GHGs emissions mitigation for the mixed farming systems across different European climates Call name: P 3 - SP 3.2 - Proiecte ERA.NET
ERANET-ICT-AGRI-FOOD-Solution4Farming 2022 - 2024

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); UNIVERSITATEA DE STIINTE AGRONOMICE SI MEDICINA VETERINARA (RO); Wroclaw University of Science and Technology (PL); Universidad Politécnica de Cartagena (ES); Kajaani University of Applied Sciences (FI)

Affiliation:

Project website: http://www.beiaro.eu/solution4farming/

Abstract:

Solution4Farming project aim to provide solutions for GHGs emissions mitigation for the mixed farming systems across different European climate while increasing circularity.

To reach this aim, the Project will address the following objectives (i) to systemic identify synergies and complementarity with other sectors for mixed crop livestock production; (ii) to identify the most suitable solutions for each climate area to increase circularity in mixed farm; (iii) to develop ICT tools to mitigate GHG emissions, (iv) to test and validate the project solutions, (v) to assess the effectiveness of the project solutions based on an Life Cycle Assessment (LCA) approach and (vi) to provide the dissemination, communication, and channel to results exploitation.

The project solutions at international consortium level will be demonstrated in three pilots. The Pilot implemented in Romania will explore the management options to mitigate GHG emissions and increase circularity in a mixed crop-livestock production.

The Solution4Farming project expected results are (i) a Decision Support System for management of the mixed crop livestock farms activities to mitigate GHG emissions; (ii) management options to enhance agro-systems circularity based on the synergies between livestock and crop production.

Data Analysis and Profiling Framework for CALL CENTERS Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2019-0234 2021 - 2024

Role in this project:

Coordinating institution: SMM INVEST CO SRL

Project partners: SMM INVEST CO SRL (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO); TURKGEN YAZILIM DANIŞMANLIK SANAYİ VE Tİ (TR)

Affiliation:

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

Abstract:

Every call center experiences high load moments when the agents need to solve the problems efficiently in order to reduce the average handle time, to minimize the number of waiting calls/ messages and to limit the rate of customer abandonment. In these moments the pressure is very big especially when the clients are angry, mood amplified by a long waiting time.

Most of the time, call centers are storing lots of data as emails, call logs, different types of messages from self-care centers, even audio recordings. It is very hard to analyse this type of data using traditional statistical methods. It is even harder and time consuming to analyse audio recordings because they should be transcribed one by one. Latest advancements in natural language processing (NLP) allow us to learn from unstructured data using text mining techniques and Speech to Text transcription algorithms.

Our target in this project is to insert a Deep Learning NLP layer between the customer and the call center agent. This layer will help the agent with suggestions for strategic decisions and call prioritisation based on the analysis of different data types: messages and emails from the customers, all sorts of call statistics (waiting time, call duration), live transcriptions of the call itself.

The framework that we want to develop will consist of several NLP modules:

- Speech to Text Module - auto transcription of audio recordings

- Topic Extraction Module - text message topic extraction

- Sentiment Analysis Module - identification of customer’s emotional status

- Suggestion Model - it will help the call center agent with strategic suggestions

- Customer and agent profiling - grants the most appropriate agent to handle a call based on both agent and customer profiling

- Chatbot Module that will solve some of the customer's simple requests instead of an agent

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: BEIA 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.

Detect Fraudulent Activities in dark web and clear web to protect online business Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2019-0255 2021 - 2024

Role in this project:

Coordinating institution: MICRO ART CONSULT SRL

Project partners: MICRO ART CONSULT SRL (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO); ALMENDE BV (NL)

Affiliation:

Project website: https://beiaro.eu/defraudify/

Abstract:

The main objective of this project is to create interoperable tools to help private businesses identify online fraud by analyzing and alerting when there is a strange behavior. The target group includes businesses that experience negative impacts from internet organized fraudulent behavior.

Intelligent PREdictive Maintenance for Aquaculture Systems Call name: P 3 - SP 3.2 - Proiecte ERA.NET
ERANET-MARTERA-iPREMAS-1 2022 - 2024

Role in this project:

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

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

Affiliation:

Project website: https://www.beiaro.eu/ipsus/

Abstract:

IPREMAS - "Intelligent PREdictive Maintenance for Aquaculture Systems" is a research project aiming to improve the performance of aquaculture farms by introducing a novel platform and service for Intelligent predictive maintenance. The platform is based on innovative monitoring systems and smart infrastructure, relying on machine learning (ML) and artificial (AI) intelligence techniques. The platform measures key parameters in real time introducing innovative multi-sensor gauges which feed a chain of ML models for Time Series Forecasting (TSF), Anomaly Detection (AD), Fault Classification (FC) and Remaining Useful Life (RUL) estimation. The measurements give the current health status of the farm site while the forecasts provide a glimpse of future status; analysis of the predictions allow to identify the potential need of preventive/corrective maintenance. A cloud-based integration of the different components of the platform allows to improve connectivity and safety while optimizing the business process which lets the farmers benefit from a tailor made Software as a Service solution.

IoT-based system for monitoring museum environment Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2019-0211 2021 - 2024

Role in this project:

Coordinating institution: BEIA CERCETARE S.R.L.

Project partners: BEIA CERCETARE S.R.L. (RO); INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU TEXTILE SI PIELARIE-I.N.C.D.T.P. BUCURESTI SUCURSALA BUCURESTI INSTITUTUL DE CERCETARE PIELARIE - INCALTAMINTE I.C.P.I. (RO); Sampas Bilisim Ve Iletisim Sistemleri Sanayi Ve Ticaret A.S. (TR); Seacon Europe Ltd. (HU)

Affiliation:

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

Abstract:

For an inclusive and secure society, a holistic approach of preservation and valorization of Cultural Heritage (CH) is necessary to deal with the growing challenge of conservation, especially when the environmental changes threaten most of the global Heritage.

MUSEION will be a new project that will develop integrated tools for CH sustainable management of environmental control and adaptation to climate change (CC). Also, The MUSEION project will provide resource optimizations such as costs, energy, and carbon footprint reduction. In order to evaluate, monitor, and mitigate the potential impact of CC on CH collections, this project aims to develop a replicable IoT-based system, which will solve the problems of real objects in real conditions (sustainable environmental control and adaptation to climate change). The three components of the museum system that influence its optimal climate are the museum itself, the artworks, and the visitors.

The MUSEION IoT-based system offers more sustainable management of the collection’s environment control and adaptation to CC while ensuring costs, energy optimization and carbon footprint reduction. This IoT-based system is continuously monitoring and visualization of environmental and air quality markers, providing the software for the real-time calculation of the Overall Indoor Air Quality (IAQ) Index and Electronic Conservation Labels allowing for planning the condition assessment of heritage materials/artefacts (monitoring protocol) and a consecutive series of (low-cost) actions measures.

The advantages provided by this system are monitoring and evaluation of the environment and artefacts, complex data that is customizable and easy-to-use, reducing the cost of restoration and maintenance, reducing the carbon footprint and energy consumption.

CooperAtion unDerwater foR effIcient operATions vehICles Call name: P 3 - SP 3.2 - Proiecte ERA.NET
ERANET-MARTERA-ADRIATIC 2021 - 2024

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); Elkon Elektrik San. Tic. A.S Marine and Electric Technologies R&D Center (TR); OBSS Teknoloji A.S. Management (TR); Norwegian University of Science and Technology Computer Science (NO); uSEA Corporate (NO)

Affiliation:

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

Abstract:

The current capabilities of Unmanned Underwater and Unmanned Surface Vehicles (UUVs and USVs, respectively) have leveraged the implementation of increasingly complex missions at sea. Thus, nowadays there is a huge interest in the development of advanced techniques for cooperative and coordinated operation by multiple autonomous vehicles, since such approach promises a performance, robustness, flexibility, and adaptability that is unachievable with a single vehicle. Despite the growing interest in the field, most of the ongoing research work is purely theoretical or, if experimental, focused on partial aspects of the whole mission loop and tightly coupled to the available vehicles and architectures in these developments. ADRIATIC aims at taking this situation to the next level by developing a vendor-neutral software framework for mission planning and simulation of cooperative autonomous marine vehicles. This solution will integrate the whole mission loop (Autonomous Navigation; Environment Recognition and Sensing; Water/Underwater Communications) while expanding the functionalities of existing open-source libraries and APIs focused on specific aspects of UUV/USV operation, such as vessel dynamics, guidance, navigation (UUV Simulator, UWSim) or underwater image processing (UNDROIP). A simulation environment will be used to develop and verify the task planning navigation and the control of the system. Simulation will provide a flexible environment test and demonstrate different scenarios and vehicles. This approach will remove the restrictions of having limited access to hardware and will increase software reusability, lowering the existing entrance barrier to UUV/USV operation.

A Massive MIMO Enabled IoT Platform with Networking Slicing for Beyond 5G IoV/V2X and Maritime Services Call name: EEA Grants - Proiecte Colaborative de Cercetare
RO-NO-2019-0499 2021 - 2024

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO); BEAM INNOVATION SRL (RO); University of Agder (NO); Telenor Maritime (NO); Universitat Politècnica de València (ES); Faculty of Engineering and Applied Science, Memorial University of Newfoundland (CA)

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

Project website: https://solid-b5g.upb.ro

Abstract:

The main goal of the SOLID-B5G project is to perform cutting-edge research and develop breakthrough beyond state-of-the-art solutions in orchestration, management and control (OMC) of resources, in the context of network slicing and edge computing based on massive internet of things (IoT) enabled radio access network (RAN) and core network (CN) for beyond fifth generation (B5G) Internet of vehicles (IoV) and maritime applications.

More specifically, the project has the following sub-objectives:

• To develop ultra-low latency massive multiple-input and multiple-output (MIMO) based concurrent transmission mechanisms for data collection in massive IoT;

• To develop advanced 5G slicing solutions with a focus on OMC of resources and dedicated services for IoV and maritime services;

• To develop decentralized decision-making mechanisms by introducing data processing capacity and intelligence to the edge (based on edge computing and machine learning (ML)-to-the-edge);

• To develop 5G network slicing methods, algorithms and protocols and implement a proof-of-concept standalone B5G testbed which showcases the orchestration of RAN and CN based on 5G network slicing and multi-access edge computing (MEC) procedures.

Two use cases, i.e., IoV/vehicle-to-everything (V2X) and satellite based maritime low-latency services will be the target. Extensive experiments will be performed based on the prototype.

The Thematic Area addressed by the project is Area E: ICT. The most relevant key topics to this project are: ICT: Technologies and applications of Big Data and/or the Internet of things (IoT) for public administration, education, agriculture, health, banking etc; and ICT: Technologies, instruments and methods for software development – artificial intelligence (AI) & cloud computing.

The technologies addressed in this project have potential applications mainly to public transportation, maritime services, environment, but also possible to other domains like asset monitoring, energy (smart grid), smart city, smart agriculture, healthcare services and environment. For example, 1) protection of critical infrastructures and services (Area E: ICT); 2) Energy distribution using network slicing for smart grid and Vehicle-to-Grid networks (V2G) (Area A: Energy); and 3) climate change using IoT based data collection and ecosystems monitoring served by dedicated 5G slices (Area B: Environment).

The proposed partnership constitutes five leading research and industrial organizations in Romania and Norway and is enriched by two third-county partners in Spain and Canada, respectively. We will develop innovative research and development (R&D) solutions to foster the uptake of the newest 5G technologies and services in two envisaged use cases and enable upscaling and exploitation of beyond state-of-the-art 5G technologies from theory to reality.

The project scope is in full conformity with the EEA Norway Grants CRP Call, aiming at enhancing research-based knowledge development in Romania through long-term collaborations with two Norwegian partners as well as two other eminent third-country partners.

Reliable and High Productive (>80% yield) Hydrogen sensor Module based on 3D Nano-Structure Technology for High concentrated Environment Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2019-0207 2021 - 2023

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU INGINERIE ELECTRICA ICPE - CA BUCURESTI (RO)

Affiliation:

Project website: http://www.beiaro.eu/hydro3d

Abstract:

This project aims to develop a hydrogen gas sensor module, which will be fabricated using MEMS technology for hydrogen-based society. Owing to the integrated MEMS fabrication, many functions and structures including three-dimensional sensing materials, a micro-heater, a thermal isolation and a temperature sensor will be realized in reliable and cost-effective way for high-yield rate (over 80%) and low power consumption (below 80mW). The sensor module can detect a low concentrate environment (below 0.1%) and high concentrated environment (over 30%) simultaneously. For long-term reliable and highly selective measurement, the sensor will be developed with a resistive-type based on palladium-nickel alloy. The micro-heater and the temperature sensor will be integrated for precise temperature control for reliable and accurate sensing. For simultaneous sensing low and high concentrated hydrogen gas, the 3D nanostructured (low concentration) and thin 2D Pd-Ni sensing layer (high concentration) will be formed through the conventional MEMS fabrication facility.

Not only device development but also various applications at the market such as the electric vehicle and the transformer will be investigated. Therefore, this project will present an insight into the last recent innovations and will highlight, through an analysis performed on the market, the current state of this technology.

Hydrogen plays a significant role in chemical production, fuel cell technology, fuel for cars, rocket engines, nuclear reactors etc. However, hydrogen is colorless, odorless, tasteless, flammable and explosive at concentration above 4%. The introduction of hydrogen as a consumer fuel has caused heightened concern over its safety with a corresponding increased interest in hydrogen sensors and leak detection.

Testing and Evaluating Sophisticated information and communication Technologies for enaBling scalablE smart griD Deployment Call name:
H2020 872172 2019 - 2023

Role in this project: Partner team leader

Coordinating institution: UNIVERSITY OF DURHAM

Project partners: UNIVERSITY OF DURHAM (); BEIA CONSULT INTERNATIONAL S.R.L. ()

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

Project website: http://www.beiaro.eu/testbed2

Abstract:

Smart grids represent an electricity network that can intelligently integrate generators, consumers and energy storage in order to efficiently deliver electricity. There is a clear consensus that smart grids can provide many innovative services – to date the EC has devoted €360,413 million to support 527 projects on developing smart grid services. Decision-making plays a vital role in these services. But the computational complexity of decision-makings could grow explosively with the size of smart grid infrastructure, the number of devices/users, or the amount of data; If this scalability issue was underestimated, smart grid services can end up with poor performance or limited function, making these services impractical to meet the needs of real-life or industrial-scale deployment. Hence, there is an urgent need to solve the research problem: to what extent the performance and function of smart grids can be maintained without having significant increase of the computational complexity when its scale is changed in terms of smart grid infrastructure size or the number of devices/ users? TESTBED2 is a major interdisciplinary project that combines wisdoms in three academic disciplines – Electronic & Electrical Engineering, Computing Sciences and Macroeconomics, to address the aforesaid problem. The main focus is on developing new techniques to improve the scalability of smart grid services, particularly considering the joint evolution of decarbonised power, heat and transport systems. Moreover, new experimental testbeds will be created to evaluate scalable smart grid solutions. Overall, the main objective of this project is to coordinate the action of 12 Universities (6 in EU, 3 in US, and 3 in China) and 5 enterprises (3 SMEs and 2 large enterprises) with complementary expertise to develop and test various promising strategies for ensuring the scalability of smart grid services, thereby facilitating successful deployment and full roll-out of smart grid technologies.

Automated Decision Support for Facility Location Problems Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2021-2142 2022 - 2023

Role in this project:

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

Project partners: INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation:

Project website: https://www.ici.ro/ro/proiecte-in-derulare/program-na%C8%9Bional-de-cercetare-pncdi-III/sisteme-suport-decizii-pentru-problemele-de-amplasare-a-unor-instala%C8%9Bii/

Abstract:

The Romanian government has proposed itself an ambitious program about infrastructures: ranging from the development of the highway network throughout the country to the building of new crucial facilities such as schools and hospitals. Successful completion of this program requires solving the difficult problem of rightfully choosing the location for these new facilities. We propose ourselves to design (and test) a fully functional prototype for solving facility location problems based on our past algorithmic expertise in this area. The prototype would account for the specificities of Romanian national infrastructure topologies in order to gain in efficiency. Nevertheless, the properties needed for our algorithms to be valid are sufficiently general so that they could applied to a great deal of different topologies with only slight code changes and no loss in efficiency. This latest feature, we believe, could be of importance for future, more advanced, industrial applications.

A Distributed, Scalable and Cost-effective Mass Movement Early Warning System Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
EUROSTARS-2019-E!114129-MEWS 2020 - 2023

Role in this project:

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

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

Affiliation:

Project website: https://www.beiaro.eu/mews/

Abstract:

Early warning systems are becoming one of the main pillars of disaster prevention in natural hazards, therefore, the call for multi-hazard early warning systems and improvement of monitoring of natural hazards is steadily growing. Currently existing monitoring systems for early warning are available in terms of monolithic systems. This is a very cost-intensive way considering installation as well as operational and personal expenses. A very complex emergency plan is usually executed in case of warning. This requires a disciplined adherence to an information chain. Failure of single elements will significantly disturb the flow of information. The new approach provides the possibility for an involved institution to get user adapted information in a very early state independent from a hierarchic information structure. Within our project we will develop a scalable Mass movement Early Warning System (MEWS) for early detection of landslides, rockfalls and avalanches. The project investigates the complete information and warning chains, starting from large amounts of data gathering from an array of field-deployed wireless low cost and self-powered IoT devices, hosting many sensor types via information processing and analysis to information retrieval for landslides and mass movements. The sensor data will feed a cloud based software architecture providing real time processing and interpretation of data using advanced statistics and machine learning, thus providing a system that is adaptable, scalable, intelligent, low cost, robust, fast processing and decision making. A prototype of such a system will be developed together with project partners (Amplia from Spain, Norwegian Geotechnical Institute and Spordata (also from Norway) to demonstrate its potential in the case of avalanche detection. Data streams will be transmitted via a local LoRa gateway to the cloud-based dedicated IoT platform (OpenGate) which will provide facilities for alarms (e.g. SMS, emails) to pre-defined recipients, for example responsible authorities or persons on duty to inspect the monitored data.

Advanced Digital Solutions for Professional Food and Nutrition Catering Service Call name: P 3 - SP 3.2 - Proiecte ERA.NET - COFUND
COFUND-ICT-AGRI-FOOD -ADCATER 2021 - 2023

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); FoodproFix ltd (IL); The Hebrew University (IL); Fraunhofer-Gesellschaft FIT (DE); SAPIENZA UNIVERSITY of ROMA Department of Computer, Control, and Management Engineering Antonio Ruberti (IT)

Affiliation:

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

Abstract:

Food waste is an eminent problem in the current economy, equaling 20% of all food produced in the EU. Catering and Food Services in Healthcare institutions face even greater challenges: plate waste in healthcare facilities range between 6% - 65%; hospitalized patients continue to suffer from risk of malnutrition resulting from inappropriate food distribution and consumption.

ADCATER will develop advanced ICT technologies and integrate them into a Smart Food Catering Supply Chain platform that provides: economic efficiencies to growers and suppliers; personalized nutrition accuracy to diners/patrons, wholesalers and caterer; and verification of personal, organizational and global nutritional policies. This will be achieved by harnessing computer vision & deep learning technologies to identify and decode images of prepared food “served to plate before meal” and “left in plate after meal”, applying advanced analytics to derive valuable information such as: served meal ingredients, the degree of adjustment and dietary gaps to the diner profile, batch traceability data, effective and up-to-date nutritional supervision, food waste, and correlation between consumer consumption and health.

PREdictive maintenance for Valuable ENergy efficiency acTIONs Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2019-0247 2021 - 2023

Role in this project:

Coordinating institution: SOCIETATEA DE INGINERIE SISTEME * SIS S.A.

Project partners: SOCIETATEA DE INGINERIE SISTEME * SIS S.A. (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

Affiliation:

Project website: https://www.sis.ro/prevention/

Abstract:

PREVENT project has as main goal to develop a platform which will integrate Digital Twin technology and predictive maintenance to increase energy efficiency and to provide on-line and contextual information for production line design, operation and reconfiguration.

This goal will be achieved through an innovative combination of the cutting-edge modelling, artificial intelligence techniques and advanced control algorithms to support energy aware manufacturing through 2 main approaches:

- Holistic approach for optimization of energy consumption of the entire production flow based on intelligent predictions. We will develop methods and tools to achieve energy efficiency starting with a production flow from the design phase (compared to typical approaches focused on product), followed by an optimized process control and production planning and be involved in a development of an advanced Asset Management System.

- Resource health monitoring for real-time anomaly detection and energy impact assessment. Whenever an anomaly or a significant change in the energy consumed by a component is detected, the part is isolated, and its inspection or maintenance program is launched.

Based on the needs addressed by PREVENT platform such as continuous monitoring of asset health, early detection of problems which may affect equipment or process operation, checking the suitability of intervention solutions with digital twin technologies, or applying corrective measures proactively, production owners will have sufficient arguments on the benefits resulted from exploiting its services.

The decision support component will provide smart services for energy-efficient production planning: asset instrumentation, device health monitoring, communication interfaces, process characterization and decision making.

The platform will analyze plant data compared to models developed in the Digital Twin collated with business logic to allow increasing efficiency of production.

Development of a multimaterial and multidefect detection and anomaly prediction system based on machine vision, artificial intelligence and IoT Call name: P 3 - SP 3.2 - Proiecte ERA.NET
ERANET-MANUNET-MULTIIA-1 2021 - 2023

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); IZERTIS S.A. (ES); MachineSight S.A. (BE); Sirris Collective Center for Technological Industry (BE)

Affiliation:

Project website: http://www.beiaro.eu/multi-ai/

Abstract:

MULTIAI will address one of the more ambitious challenges in the industry 4.0: the zero defect manufacturing,by applying cutting-edge information and communication technologies in the development of a multilateral and multidetector

detection and anomaly prediction system. Main innovation regarding current State-of-the-Art is that the system to be developed within this project will allow the realtime, simultaneous analysis of multiple types of defects in different materials, without the need to have different inspection stations for each type of defect. This system will be scalable and customisable for the quality control of any part manufactured in a production line.

Development of an Intelligent decision support System for Smart Viticulture Call name: P 3 - SP 3.5 - Proiecte Eurostars 2019
EUROSTARS-2019-E!113655-DISAVIT 2020 - 2023

Role in this project:

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

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

Affiliation:

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

Abstract:

DISAVIT proposes a novel product for better environmental sustainability addressing a new market featured by emerging technologies. DISAVIT will deliver a LOW COST, EASY TO USE, FAST REACTIVE innovative IoT end-to-end solution for Smart Viticulture covering all phenological stages and most relevant strategical and operational applications for vineyards: plant health, pesticide detection, resources efficiency, grape quality, and maturation and global production.

SMART AI BASED STORAGE SYSTEM Call name: P 3 - SP 3.2 - Proiecte ERA.NET
ERANET-REGSYS-AISTOR 2020 - 2023

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); BATRON ENERJİ A.Ş. (TR)

Affiliation:

Project website: https://www.beiaro.eu/aistor/

Abstract:

Energy storage technologies provide a flexible response to imbalances caused by an increased share of renewable energy sources in the electricity grid, such as solar and wind energy. Battery storage of electricity from renewable sources and the integration of storage systems in the electricity grid significantly increases the resilience and stability of the grid. However, batteries experience aging problems, resulting in a shorter lifespan and degraded performance over time, thus affecting the reliability and performance of the network.

In light of this, the AISTOR project is dedicated to solving a major challenge, namely the design of a hybrid, reliable and flexible storage system, designed to solve technical problems related to the interconnection of the electricity grid with the renewable energy storage system using advanced machine learning algorithms for battery charging, status monitoring and data-based diagnostics for optimal performance of the entire system. Monitoring the system, respectively the state of power circuits (converters), battery charging level, collecting and interpreting data from IoT sensors (voltages, currents, temperatures, etc.) and the state of the network as a whole, will be achieved by designing and implementing a Battery Management System (BMS). The development of power conversion solutions and appropriate control strategies to optimize the operation of batteries to compensate for the intermittency of renewable energy resources, while extending the life of batteries and electronic power circuits, will use artificial intelligence techniques (AI ). Electronic power converters integrated in the battery storage system will be designed and used to increase the stability and reliability of the system, as well as to provide additional functions

T4ME2 - Toilet for Me too Call name: P 3 - SP 3.5 - Programul "Active and Assisted Living" AAL, 2018
AAL-CP-AAL-2019-6-116-CP-T4ME2 2020 - 2023

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); Vienna University of Technology (AT); CareCenter Software GmbH (AT); Stichting Gouden Dagen (NL); Zorggroep Heilig Hart (BE); On Site Foundation (PL); Sanmedi B.V. (NL); Cogvis software und consulting GmbH (AT); Sanitronics International B.V. (NL); Santis Kft (HU)

Affiliation:

Project website: https://www.beiaro.eu/toilet4me2/

Abstract:

T4ME2 provides supportive, autonomy promoting, smart toilet solutions for living-well. It addresses ageing people and persons of all ages with impairments/disabilities (as well as their (in)formal caregivers) and their needs when using a toilet outside home in public or semi-public environments (e.g. in community centres, town halls, shopping malls, museums, theatres, hotels, leisure and sports areas etc.).

Current assistive sanitary components for the private home area do not meet the usability requirements of public high frequency multi-user environments, are not seamlessly integrated and lack required robustness and design.

Availability of suitable toilets outside home will empower and support more persons to go outdoors and to actively participate in the society without need for personal support on the toilet. Additionally it will bring up new market areas with important customers, e.g. for hotels offering state-of-the-art accessible and adaptable hotel rooms as USP in accessible tourism. T4ME2 is also contributing to Smart City initiatives and age-friendly environments implementation

Alternative Proteins for Healthy Ageing Call name: P 3 - SP 3.5 - Programul "Active and Assisted Living" AAL - Small Colaborative Projects (AAL-SCP), 2018
AAL-SCP-2021-8-202-ALPHA 2021 - 2022

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); Wageningen University (NL); Københavns Universitet (DK); Wageningen Research - Food Informatics (NL); CleverMove (end-user) (NL)

Affiliation:

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

Abstract:

Alternative Proteins for Healthy Ageing (ALPHA) project aims to provide an interactive application to help older adults safely transit to alternative (plant-based) protein sources while preventing nutritional insufficiencies.

To reach this aim the ALPHA Project will address objectives to: (i) combine and centralise existing databases of validated protein sources; (ii) develop a database that combines all relevant data and implement a back-end environment; (iii) develop a front-end environment; (iv) End-user testing in the Netherlands and Denmark; (v) to provide the dissemination, communication, and channel to results exploitation.

The project solutions at international consortium level will be demonstrated in end-user testing for at least three weeks in Netherlands and Denmark. Romania will lead the development of the front-end environment.

A network for dynamic WEarable Applications with pRivacy constraints Call name:
H2020 813278 2019 - 2022

Role in this project: Partner team leader

Coordinating institution: TAMPEREEN KORKEAKOULUSAATIO SR

Project partners: TAMPEREEN KORKEAKOULUSAATIO SR (); BEIA CONSULT INTERNATIONAL S.R.L. ()

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

Project website: http://www.beiaro.eu/a-wear/

Abstract:

The emerging market of wearables is expected to grow exponentially in the near future, driven by the sales increase of smart clothes, watches, and eyeglasses. The future wearables are likely to be heterogeneous, operating on batteries, sun power or human motion, and endowed with smart functions. They will co-operate in a decentralized manner with each other and will be able to reach various interconnected software and applications. The main stream wearable-based architecture has been applied so far in wellbeing industries, such as eHealth or ambient assisted living, which might also reduce the costs for care and guarantee a healthy independent live in the forthcoming older society. As the digitalisation and data-based economy are growing, the exploitation potential of the wearables can easily be expected to increase. Key wearables stakeholder groups in the future are also smart cities, comprising intelligent building industry and infrastructure, energy-efficient smart grid sector, public e-Services, and smart transport. Motivated by the opportunities that next-generation wearable intelligence is expected to provide, the mission of A-WEAR action is to cross-disciplinarily create new architectures, open-source software and frameworks for dynamic wearable ecosystems, with distributed localization and privacy constraints. We aim at building new joint/double European doctoral programmes to train a new generation of young researchers in order to be aware of, to cope with, and to disseminate to a large audience the vulnerabilities and the corresponding solutions of the communication and positioning through wearables. The impact of A-WEAR will be to enhance the future social well-being, to contribute to an easy living, effective and enjoyable work, and to offer new solutions to the challenges of violation of privacy by communication and positioning through wearables and to the need of applying the right of the ownership to one’s data.

Arrowhead Tools for Engineering of Digitalisation Solutions Call name:
H2020 826452 2019 - 2022

Role in this project: Partner team leader

Coordinating institution: LULEA TEKNISKA UNIVERSITET

Project partners: LULEA TEKNISKA UNIVERSITET (); BEIA CONSULT INTERNATIONAL S.R.L. ()

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

Project website: http://www.beiaro.eu/arrowhead-tools/

Abstract:

For the purpose of creating digitalisation and automation solutions Arrowhead Tools adresses engineering methodologies and suitable integrated tool chains. With the global aim of substantial reduction of the engineering costs for digitalisation/automation solutions. Thus the Arrowhead Tools vision is: - Engineering processes and tool chains for cost efficient developments of digitalization, connectivity and automation systems solutions in various fields of application For the further and wider commercialisation of automation and digitalisation services and products based on SOA, Arrowhead Framework and similar technologies there is a clear need for engineerings tools that integrates existing automation and digitalisation engineering procedures and tool with SOA based automation/digitalisation technology. For this purpose the Arrowhead Tool’s grand challenges are defined as: - Engineering costs reduction by 40-60% for a wide range of automation/digitalisation solutions. - Tools chains for digitalisation and automation engineering and management, adapted to: 1. existing automation and digitalisation engineering methodologies and tools 2. new IoT and SoS automation and digitalisation engineering and management tools 3. security management tools - Training material and kits for professional engineers The results will create impact on: - Automation and digitalisation solution market - Automation and engineering efficiency and the SSBS market - Automation and digitalisation security - Competence development on engineering of automation and digitalisation solution

Robot Efficient Cdw Intelligent CLassifier for Automatic Recycling Management Call name: P 3 - SP 3.5 - Proiecte Eurostars 2019
EUROSTARS-2019-E!113891-RECICLARM 2020 - 2022

Role in this project:

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

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

Affiliation:

Project website: https://www.beiaro.eu/reciclarm/

Abstract:

The project will provide construction industry with a novel method of sorting Construction and Demolition Waste (CDW) into high-purity and small size separated fractions for high-grade applications in building industry.

Smart WAter Management system for better environmental sustainability Call name: P 3 - SP 3.5 - Proiecte Eurostars 2019
EUROSTARS-2019-E!12889-SWAM 2019 - 2022

Role in this project:

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: https://www.beiaro.eu/swam/

Abstract:

This project aims at providing an intelligent, trustworthy, integrated water management solution for Smart Cities (drinking water) and Smart Agriculture (irrigation) based on the combination of Internet of Things, Cloud Computing, Geoinformatics (e.g. map-based analytical layer) and traceability by design for water quality. SWAM solution is also well suited to smart environmental management requiring decision support, historical analysis and profiling, security considerations, monitoring, cost-efficiency management, environmental pollution detection. Moreover, the system will be modular, scalable and flexible making its adaptation easier to the target client’s installation.

Next Generation Internet Platform based on 5G and UAVs for precision agriculture Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2019-1945 2020 - 2022

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

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

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

Project website: http://nextagri.radio.pub.ro

Abstract:

The main purpose of the project is to develop and implement a monitoring and prevention platform for precision agriculture, platform designed using the current 5G specifications and UAVs (Unmanned Aerial Vehicle) for Smart City and Smart Neighbourhood use-cases. The role of the platform resides in the soil, air and crop monitoring for communities that want to implement urban farming and/or precision agriculture in or close to residential areas, for both safer food production and air quality improvement. When designing the Next Generation Internet (NGI) platform, the use of dedicated wireless sensor networks is considered, as well as point-to-point 6LoWPAN routing for interconnecting and switching between NGI and the wireless sensor network. Crops such as vines and tomatoes will be real-time monitored to detect changes in soil and plant parameters in a timely manner, to act on soil irrigation mechanisms, to identify the stages of diseases that may occur due to air and water pollution, the application of incorrect amount of pesticides, etc. Data gathered from the sensors and those recorded using UAVs will be stored in Cloud and real-time accessed by the beneficiaries via one of the applications available on the terminal electronic equipment (mobile device, laptop, etc.). Subsequently, through data fusion from sensors, decisions will be considered to prevent and combat plant diseases. Withal, alerts and recommendations will be sent to the beneficiaries on their mobile devices. The features of the NGI platform based on 5G and UAVs consider reconfigurability and scalability, low energy consumption, mnimized human interaction and maximum accuracy.

Smart health system based on artificial intelligence as a predictor for chronic kidney disease development Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2019-5446 2020 - 2022

Role in this project:

Coordinating institution: UNIVERSITATEA DE MEDICINA SI FARMACIE "GRIGORE T. POPA" DIN IAŞI

Project partners: UNIVERSITATEA DE MEDICINA SI FARMACIE "GRIGORE T. POPA" DIN IAŞI (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

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

Project website: https://artipred.grant.umfiasi.ro/home/

Abstract:

The scope of ArtIPred project is to design and validate a smart health system based on artificial intelligence (AI) as a predictor for chronic kidney disease development using ECG signals from animal models. The main advantage of this model is the fact that it will provide a safe non-invasive way for patients to determine the state of their kidneys.

The proposed architecture implementing the ArtiPred system. With the use of a wireless sensor we can capture ECG signals that will be further processed amongst with other clinical data acquired with medical equipment. The goal is to establish a clinical framework which will be the basis of the CKD models development. In order to capture the clinical data we will deploy a web interface which will allow to register and store the clinical observation of the medical personnel, based on imagistics and biochemistry trials. After establishing the clinical framework and achieve the CKD data models, we will study and experiment specific AI solutions in order to identify the correlations between the ECG data sets and the disease evolution. The main goal is to develop and validate, at laboratory level, an artificial intelligence tool which will allow early diagnosis of the CKD.

Enabling Smart Livestock Farming Technologies for Environmental Sustainability using Blockchain Call name: P 3 - SP 3.2 - Proiecte ERA.NET
ERANET-ERAGAS-ICT-AGRI3-FarmSusteinaBl-2 2019 - 2022

Role in this project:

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

Project partners: BEIA CONSULT INTERNATIONAL S.R.L. (RO); AGRICULTURAL AND ENVIRONMENTAL SOLUTIONS (GR); UNIVERSITY OF SOUTHERN DENMARK (DK); AGRICULTURAL UNIVERSITY OF ATHENS (GR)

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

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

Abstract:

Farming livestock – cattle, sheep, goats, pigs and chickens – contributes around 6 billion tonnes of greenhouse gases (carbon dioxide, methane and nitrous oxide) to the atmosphere each year, which could represent up to 18% of global emissions. With the advent of Precision Farming which uses new technologies to handle and manage farm information, economic returns can be improved and environmental impact can be reduced. As such, precision feeding is about getting the right nutrient to the right animal at the right time, which can increase feed efficiency and productivity and consequently improve farm profitability and lower emission intensity. The project proposes the integrated use of wireless sensor networks, data analytics and modeling that enable an efficient decision support system together with a state-of-the-art cloud solution supporting blockchain for livestock agriculture. By minutely tracing the livestock feed and GHG emission, the FarmSustainaBl project will contribute to raising consumer awareness on the importance of low-GHG emission livestock produce as well as be able to optimize and lower the GHG emission in animal production systems.

Scalable, trustEd, and interoperAble pLatform for sEcureD smart GRID Call name:
H2020 777996 2018 - 2021

Role in this project: Partner team leader

Coordinating institution: UNIVERSITY OF PIRAEUS RESEARCH CENTER

Project partners: UNIVERSITY OF PIRAEUS RESEARCH CENTER (); BEIA CONSULT INTERNATIONAL S.R.L. ()

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

Project website: https://www.beiaro.eu/sealedgrid/

Abstract:

The rapid evolution of ICT has revealed the potential for centrally monitoring, controlling, and optimising the power grid. In this context, a more intelligent, responsive, and efficient, system has been devised, known as the Smart Grid (SG). As explained in the EU Third Energy Package the SG will support a dynamic two-way information exchange between utility companies and their customers, contributing towards a smart and sustainable energy management in Europe and the establishment of a wiser energy consumption mentality. However, besides the benefits of such an endeavour, the power grid will be exposed to security threats inherited from the ICT sector, while privacy issues and new vulnerabilities, related to the specific characteristics of the SG infrastructure, will emerge. The problem is assessed as crucial, if we consider that a potential attack to the SG may lead to cascading failures, ranging from destruction of other interconnected critical infrastructures to loss of human lives. Thus, the development of a security platform tailored to the SG is required, that i) can efficiently manage the plethora of SG nodes, ii) deal with potential malicious hardware or software modifications due to the physical access of the customers to the SG nodes, and iii) operate over heterogeneous systems. Considering all the above, SealedGRID aims at bringing together experts from industry and academia from cross-sectorial research areas having complementary background with the long-term goal to design, analyse, and implement a scalable, highly trusted and interoperable SG security platform. The platform will combine, for the very first time, technologies like Blockchain, Distributed Hash Tables, Trusted Execution Environments, and OpenID Connect, while for its realization the SealedGRID consortium is committed to a fully-integrated and multi-disciplinary secondment programme combined with a set of networking, dissemination, and exploitation activities.

SAFEguard of Critical heAlth infrastructure Call name:
H2020 787002 2018 - 2021

Role in this project: Partner team leader

Coordinating institution: CENTRE HOSPITALIER REGIONAL DE MARSEILLE ASSISTANCE PUBLIQUE-HOPITAUX MARSEILLE

Project partners: CENTRE HOSPITALIER REGIONAL DE MARSEILLE ASSISTANCE PUBLIQUE-HOPITAUX MARSEILLE (); BEIA CONSULT INTERNATIONAL S.R.L. ()

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

Project website: https://www.beiaro.eu/safecare/

Abstract:

Over the last decade the European Union has faced numerous threats that quickly increased in their magnitude, changing the lives, the habits and the fears of hundreds of millions of citizens. The sources of these threats have been heterogeneous, as well as weapons to impact the population. As Europeans, we know now that we must increase our awareness against these attacks that can strike the places we rely upon the most and destabilize our institutions remotely. Today, the lines between physical and cyber worlds are increasingly blurred. Nearly everything is connected to the Internet and if not, physical intrusion might rub out the barriers. Threats cannot be analysed solely as physical or cyber, and therefore it is critical to develop an integrated approach in order to fight against such combination of threats. Health services are at the same time among the most critical infrastructures and the most vulnerable ones. They are widely relying on information systems to optimize organization and costs, whereas ethics and privacy constraints severely restrict security controls and thus increase vulnerability. The aim of this proposal is to provide solutions that will improve physical and cyber security in a seamless and cost-effective way. It will promote new technologies and novel approaches to enhance threat prevention, threat detection, incident response and mitigation of impacts. The project will also participate in increasing the compliance between security tools and European regulations about ethics and privacy for health services. Finally, project pilots will take place in the hospitals of Marseille, Turin and Amsterdam, involving security and health practitioners, in order to simulate attack scenarios in near-real conditions. These pilot sites will serve as reference examples to disseminate the results and find customers across Europe.

SOcial LOcal MObile iNdoor shopping experience Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2017-02-0075 2018 - 2020

Role in this project:

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/solomon/

Abstract:

E-commerce has drastically transformed the retail industry. In SOLOMON the main target is to improve the customer experience in bricks-and-mortar stores. SOLOMON’s innovation is to define a “shop operations & experience” platform connecting different technologies and information sources into seamless services for interaction with the retailers, shop personnel and consumers. Platform requirements are set by retail stores and technology providers who define the use cases that are demonstrated and evaluated during the course of the project in bricks-and-mortar stores.

Personal dAta pRotection FrAmework for IoT Call name: P 3 - SP 3.5 - Proiecte EUREKA Tradiţional (Network), EUREKA-Cluster, Eurostars
PN-III-P3-3.5-EUK-2017-02-0063 2018 - 2020

Role in this project:

Coordinating institution: SOCIETATEA DE INGINERIE SISTEME * SIS S.A.

Project partners: SOCIETATEA DE INGINERIE SISTEME * SIS S.A. (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

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

Project website: https://www.sis.ro/produse/20/parfait/

Abstract:

PARFAIT project’s main goal is to develop a platform for protecting personal data in Internet of Things applications which will be tested with 2 use-cases. Another goal of the project is to decrease complexity of integrating and deploying services in today’s Internet of Things technology by providing interoperable software libraries,tools and SDK elements.

Interoperability,along with security and privacy of personal data, are the two most important limitations for the growth of Internet of Things market.Interoperability increases the complexity of service production processes and the cost of production. On the other hand, lack of security and trust for the protection of privacy puts a barrier between service providers and consumers, which can be defined as businesses and end user consumers.This barrier directly affects wide adoption of Internet of Things applications in the consumer lifestyle and business applications.

By finding solutions to these problems, the project aims at generating huge business potential. Business impact of the project will be realized through an integrated,scalable and extendable privacy and security framework which will be demonstrated through 2 use cases leaded by industrial partners of the project consortium. These use cases are selected as Personal Information Management and Smart Home Services.

Instead of restricting the business potential to selected vertical domains, the consortium aims at presenting a global privacy and security framework, where various vertical thematic frameworks can be built on. This approach will increase business potential and adoption of project outcomes in a wider market.

It is a strong ambition of the project to define interoperability and security/privacy methodologies, rules and guidelines to make recommendations for the policy makers. Defined methodologies and policies will be used as the keystones to develop libraries, tools and SDKs which will construct the foundation layer for domain specific IoT.

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:

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:

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: Partner team leader

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.

Integrated software platform for mobile terminals malware analysis Call name: P 2 - SP 2.1 - SOLUTII - 5 - Platformă software integrată pentru analiza malware a terminalelor mobile
PN-III-P2-2.1-SOL-2016-05-0070 2017 - 2020

Role in this project: Partner team leader

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO); UNIVERSITATEA NAŢIONALĂ DE APĂRARE "CAROL I" (UM 02545) (RO); SAFETECH INNOVATIONS SRL (RO)

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

Project website: https://tor-sim.pub.ro/

Abstract:

In the modern IT security field it can be identified a general approach based on ways of identifying and handling dangerous threats. This approach can be summarized by the following steps: identifying assets, identifying vulnerabilities, identifying potential threats, the determination of attack scenarios, establishing security policies, recommendations.

Android is perhaps the most exposed to malware, given its open ecosystem. iOS mobile platform, developed by Apple and used on iPhones, presents some specific features that will determine certain advantages in key points such as the distribution of applications and the access of developers (thorough APIs) at key points of the operating system. Although Google, through „Play Store”, follows a similar process, however, Android platform, being open, allows the installation of applications outside the official store by simply activating „Unknown sources” option, which, in the past allowed the infiltration of malware with greater ease on many such devices. Some general approaches of malware detection on mobile devices are: the classical approaches (Anti-Virus, a signature extraction, analysis and disassembly of malware and of used protocols) or modern approaches (Data-Mining and Machine-Learning applications).

Therefore, it is intended to achieve a software platform that integrates malware analysis procedures for most existing devices on the market in order to strengthen the security of networks and terminals.

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: Partner team leader

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:

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.

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:

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.

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:

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:

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:

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:

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.

Study on personalised toilets supporting active living in (semi-)public environment Call name: P 3 - SP 3.5 - Programul "Active and Assisted Living"
AAL-2018-5-101-SCP-Toilet4me 2019 - 2019

Role in this project:

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/toilet4me/

Abstract:

The Toilet4me project provides a smart toilet solution for aging-well. It addresses aging people and persons of all ages with impairments/disabilities and their needs when using a toilet outside a home in public or semi-public environments (e.g. in community centers, town halls, shopping malls, museums, theatres, hotels etc.). The vision of Toilet4me is to develop and provide ICT-enhanced toilet systems which can adapt themselves to the individual needs and preferences of the person currently using the toilet. The basic idea is a motorized toilet able to support sitting, stand-to-sit and sit-to-stand transition with the possibility to use preferred settings as used at home.

Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications Call name:
H2020 643963 2015 - 2018

Role in this project: Partner team leader

Coordinating institution: UNIVERSITEIT VAN AMSTERDAM

Project partners: UNIVERSITEIT VAN AMSTERDAM (); BEIA CONSULT INTERNATIONAL S.R.L. ()

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

Project website: https://www.beiaro.eu/switch

Abstract:

The SWITCH project (Software Workbench for Interactive, Time Critical and Highly self-adaptive Cloud applications) addresses the urgent industrial need for developing and executing time critical applications in Clouds. Time critical applications such as disaster early warning, collaborative communication and live event broadcasting can only realise their expected business value when they meet critical requirements for performance and user experience. The very high requirements on network and computing services, particularly for well-tuned software architecture with sophisticated data communication optimisation, mean that development of such time critical applications is often customised to dedicated infrastructure, and system performance is difficult to maintain when infrastructure changes. This fatal weakness in the existing architecture and software tools yields very high development cost, and makes it difficult fully to utilize the virtualised, programmable services provided by networked Clouds to improve system productivity. SWITCH aims at improving the existing development and execution model of time critical applications by introducing a novel conceptual model (application-infrastructure co-programming and control model), in which application QoS/QoE, together with the programmability and controllability of the Cloud environments, can all be included in the complete lifecycle of applications. Based on this conceptual model, SWITCH provides an interactive environment for developing applications and controlling their execution, a real-time infrastructure planner for deploying applications in Clouds, and an autonomous system adaptation platform for monitoring and adapting system behaviour. The SWITCH consortium has well-balanced partners with complementary expertise from both academic and industrial backgrounds. By demonstrating the software using diverse use cases, the consortium specifically aims at exploitation of the business potential of the SWITCH results.

Intelligent communications system based on integrated infrastructure, with dynamic display and alerting Call name: P 2 - SP 2.1 - Transfer de cunoaștere la agentul economic „Bridge Grant”
PN-III-P2-2.1-BG-2016-0475 2016 - 2018

Role in this project:

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://www.telecom.pub.ro/SICIAD/

Abstract:

The project aims at implementing an intelligent system based on a performant integrated wired and wireless communication architecture. The secure access will be implemented for clear categories of users, with multiple access levels, as well as for guest-type users, with prior identification and session logging. The system will use locally-defined policies and a centralized redundant database, allowing remote authentication through eduroam technology, performed by the user's distant institution of affiliation.

The system will enable content-based traffic prioritization, in order to ensure quality of service.

The implemented management console will enable the dynamic display of information, either on ePaper devices connected to the infrastructure and without wired power supplies, or on the users' cell phones, using beacons based on the iBeacon technology. An internet calendar interface with email entry will be created, allowing the display of event schedule, as well as an electronic notice board for announcements, commercials, etc...

An application for the operation and monitoring of the system's state parameters will be implemented, offering the ability to send generated alerts through technologies like e-mail, GSM SMS, ePaper displays in areas of interest, or iBeacon messages.

Information and alerts will be generated using data from IoT devices working as sensors (temperature, CO2, smoke, gas), in order to facilitate the avoidance of problem areas and the guidance towards safe exits (including aid for the hearing impaired).

The infrastructure will be designed and implemented using the economic operator's LANCOM ePaper and iBeacon, cloud and IoT, existing technologies, as well as generic open-source technologies available to the university.

The economic operator will be able to implement the system in domains like: universities, schools, conference halls, hospitals, etc..

Cloud Platform for intelligent energy use by SMES Call name: P 3 - SP 3.5 - Proiecte EUSTAR
E!9864 2015 - 2018

Role in this project:

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/power2sme/

Abstract:

The consortium’s will is to enhance Europe’s energy consumption, by managing the use of SMEs’ energy, lowering its costs, saving money that could be used as investment, and changing their behavior towards a use of cleaner sources of energy. The consortium also aims to create a more responsible way to spend energy, taking the environment in consideration, making it possible to SMEs to become ecofriendly and to be certificated for that, for the platform will use ISO’s recommendation.

Smart, natural language semantic analyser platform to process oriented back-ends Call name: P 3 - SP 3.5 - Proiecte EUSTAR
E!9870 2015 - 2017

Role in this project:

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/speech2process/

Abstract:

In our experience, these front-ends today are often not effective, because the client must know the service type classification of the given service provider. But if it is not the case, the client can be moving forward in the wrong direction. This can be eliminated by a smart, natural language analyzer system.

In that case the client can tell his/her wishes with his/her own words: "I would like to extend my driving license". Or: "I would like to wire 10.000 HUF to my gas supplier".

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:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

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

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

Redox flow battery with fast charging capacity as main source of energy in electric vehicles Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-2066 2014 - 2017

Role in this project:

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU INGINERIE ELECTRICA ICPE - CA BUCURESTI

Project partners: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU INGINERIE ELECTRICA ICPE - CA BUCURESTI (RO); INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU FIZICA LASERILOR, PLASMEI SI RADIATIEI - INFLPR RA (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO); EUROSERVICE NET PMA SRL (RO)

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

Project website: http://www.icpe-ca.ro/proiecte/proiecte-nationale/pn-2014/ev-bat.pdf

Abstract:

The project assesses the redox flow batteries potential as a power source for hybrid electric vehicles. 6kWh-EV-BAT product purposed by the present project is a NEW and performant product for the Romanian and European market, which will be produced in Romania for the first time. The EV-BAT system is designed as a hybrid concept between Vanadium Redox Flow Battery and Hydrogen Fuel Cell, for energy management in an electric vehicle, with zero emission. The 6 kWh-EV-BAT system is designed to be installed on a light minibus, in order to be implemented on the Romanian and international market as battery with fast charging capacity as main source of energy in light electric minibus

The project is totally innovative and is built on few original approaches which are novel at both national and international level. The novelty and originality of the project is related to:

• Electrode concept and improved electrode design of the RFC, compared with VRB system (fuel cell derived electrodes, highly conductive, very thin and high surface area) (NEW approach at intervational level).

• Activated electrodes with oxygen functional groups (e.g. C-O; C=O and C-O-H) in order to enhance the electrochemical performance of RFCs, by increasing the catalitic activity of the electrode toward vanadium oxydation / reduction. Materials used and the method for activation are NEW approach at intervational level.

• Active EV-BAT unit with charge/discharge efficiency greater than 85%, improved physical characteristics (eg. size, weight) and reliable in exploitation, thereby providing a commercially viable electric power system for electric vehicles (NEW approaches at intervational level).

Technical and scientific barriers that will be lifted by carrying out the project

• Lifting technical limitations of classical storage systems based on lead-acid battery.

The primary advantage of the lead-acid batteries is their low capital cost and easy availability. The battery demonstrated the value of stored energy in the grid, but its limited cycling capability, along with high maintenance, made its life-cycle cost unacceptable. ► The present project offers an international competitive EV-BAT product for energy storage, reliable and no limitation in exploitation comparing with classical battery systems. The main characteristics of the EV-BAT system, as opposed to other electrochemical storage batteries are: (1) simplicity of the electrode reactions, (2) no cycle life limitations, (3) electrochemically reversible reactions, (4) high overall energy efficiency (>85%), (5) no problems in deep discharge of the system and (6) no inversion of polarity if one cell of the system fails.

• Lifting technical limitations in batteries performances for electric vehicles. One of the main demands of electric vehicles is to meet the proper battery which allows fast charging (less than 5 minutes) and high number of charge / discharge cycles. Li-ion may support up to 1000 charge / discharge cycles, while the time of charging last up to 8-12 hours. The project offer a solution which allow dual charging, by replacing the electrolyte (3-5 minute) or by grid connection (8-12 hours). Supplementary, the EV-BAT model has not limitation in charge / discharge number of cycles, supporting up to 15000 – 20000 cycles, The battery is environmental friendly, 98% recyclable.

IMMUNOBIOSENSORS FOR RAPID DETECTION OF SOME CARBAMATE PESTICIDE RESIDUES (CARBARYL, CARBENDAZIM) IN HORTICULTURAL PRODUCTS Call name: Joint Applied Research Projects - PCCA 2013 - call
PN-II-PT-PCCA-2013-4-0128 2014 - 2017

Role in this project:

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU INGINERIE ELECTRICA ICPE - CA BUCURESTI

Project partners: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU INGINERIE ELECTRICA ICPE - CA BUCURESTI (RO); INSTITUTUL NATIONAL DE CERCETARE CANTACUZINO (RO); INSTITUTUL DE CERCETARE-DEZVOLTARE PT. INDUSTRIALIZAREA SI MARKETINGUL PRODUSELOR HORTICOLE"HORTING" (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO)

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

Project website: http://www.icpe-ca.ro/proiecte/proiecte-nationale/pn-2014/carbadetect.pdf

Abstract:

Pesticides play a major role in improving agricultural production through control of pest populations such as insects, weeds, and plant diseases. The toxicological properties of pesticides that allow them the ability to control pests also provide potential risks to humans, to the environment, and to non-target organisms that might be inadvertently exposed to pesticides. Despite their merits, pesticides are considered to be some of the most dangerous environmental contaminants because of their ability to accumulate and their long-term effects on living organisms.

The concern about the presence of pesticide residues in water, soil, and food has prompted the search for alternative methods able to detect low levels of these compounds in a simple way. Biosensors offer great advantages over conventional analytical techniques, including high specificity for real-time analysis in complex mixtures, high sensitivity, simple operation without the need for extensive sample pre-treatment, and low cost ( Liu 2013).

Immunobiosensors which can provide concentration-dependent signals, appear to be appropriate for identification of a single pesticide or, in some cases, small groups of similar pesticides in environmental monitoring, as they are rapid, specific, sensitive and cost-effective analytical devices (Mallat and Barcel´ o, 2001a

The major challenge for immunobiosensors is the development of appropriate antibodies with desired specificity and high binding ability, as these critical biological reagents are usually requiring bio-medical labs with experience in immunoassays research and development. In most cases, antibody affinity and specificity are the limiting factors of these assays.

In this context, biosensing based on nanomaterials is one of the hottest topics in nanotechnology and nanoscience. Thus, in agreement with the 5.1.10 priority theme call, through this project is intended to develop and validate high affinity antibodies against carbaryl and carbendazim / related molecules (carbaryl and carbendazim are among the most frequently detected pesticide residues in food analyses worldwide), synthesize nanoparticles/nanomaterials for biosensing application, and then to combine these compounds in order to set up at least one highly sensitive and reliable immunobiosensor for rapid detection of such compounds in horticultural products (e.g. fresh and dried fruits and vegetables, horticultural processed products, wine and other beverages).

This project will exploit the unique properties of nanomaterials (carbon based and magnetic) which could offer excellent platforms as electronic and optical signal transduction to design a new generation of biosensing devices. The research result of this project will allow to industrial partner to tackle other markets, inside and outside Romania. The end-product of this project will come under international/national economical and food safety regulation providing compact analytical devices designed for biomolecular recognition. The introduction of sensitive, easy-to-use, and fast immunodetection tools and reagents for potential harmful pesticides detection in horticultural products will really enrich the available tools for monitoring food pollutants, improve the efficiency of the early warning systems related to the quality of food and feed, and leading to an evident positive impact on the quality of life and health, on a medium and long term basis

Scalable Radio Transceiver for Instrumental Wireless Sensor Networks Call name: Joint Applied Research Projects - PCCA-2011 call, Type 2
PN-II-PT-PCCA-2011-3.2-1030 2012 - 2016

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); BEIA CONSULT INTERNATIONAL S.R.L. (RO); INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE PENTRU FIZICA SI INGINERIE NUCLEARA " HORIA HULUBEI " - IFIN - HH (RO)

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

Project website: http://www.sarat-iwsn.pub.ro/

Abstract:

The SaRaT-IWSN project proposes a new generation of a radio transceiver to be used into the IWSN communications node, based on an open source hardware and software platform, but particularized in order to ensure the requirements presented above. The hardware platform is an USRP-type one and the entire radio transceiver is designed starting on GNU-Radio software platform, according to the Software Defined Radio methods. This method of development the communications nodes will ensure easier their scalability as well the reconfigurability of the entire network, which together with the control of some critical communication parameters (transmission delay, variation of this delay, the data rate, etc) in a given narrow range characterize an Instrumental Wireless Sensor Networks (IWSN).

A special attention must be given to the implemented communications protocols, so the SaRaT-IWSN transceiver, which will be mainly a CDMA-type one, will develop a new generation of GOSSIP-type communications protocols able to control the communication delay using a time indication. The entire IWSN is considered as a reconfigurable mesh network, with significant traffic variations, so the entire network must ensure a reliable communication with clear time constraints. Due this structure of the network, the protocols developed during the project will be optimized based on cross-layer methods.

The project intends not only to develop a new generation of radio transceiver for an IWSN, but also to evaluate it at experimental model level and to propose applications for such networks: to interconnect the detectors of cosmic rays into a large array observatory, but also alternative ones.

A Platform for the Acceleration of go-to market in the ICT Industry Call name: EUREKA 2012
12014 ACCELERATE ITEA 2 2014 - 2016

Role in this project:

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/52

Abstract:

The project aims to create a platform that will bring together several services and instruments that the companies usually rely on in their go-to-market process. The companies use services offered by other organizations (Acceleration Service Providers). The platform will gather services such as awareness creation services, trainings, seminars, online courses, coaching and mentoring services, software tools that support specific parts of the acceleration process, services that provide access to data needed to speed up go-to-market, services to look for partners, project management tools (Agile, Scrum) etc.

As far as the Romanian pilot goes, it will address the needs of local the local market. Thus it will bring to its stakeholders a solution that is tailored to their needs and to specific of the local business. The experience harnessed from the European project will be used as well as the experience and expertise gained through the implementation of the Romanian pilot will be used in the European project.

FILE DESCRIPTION	DOCUMENT
List of research grants as project coordinator
List of research grants as partner team leader
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