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Anastasios Zafeiropoulos
Zografou Campus, National Technical University of Athens, 15780 Athens, Greece

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Short Biography

Dr. Anastasios Zafeiropoulos received the Dipl.-Ing. and Ph.D. degrees from the School of Electrical and Computer Engineering of the National Technical University of Athens, where he is currently engaged as a postdoc researcher. He also holds a M.Sc. degree in public policy and management from the Athens University of Economics and Business. He has participated in multiple EU and nationally funded research projects, focusing on the development of innovative technical solutions on the fields of 5G, SDN/NFV, IoT, and Machine Learning technologies. He has co-authored over 50 publications in high-level international journals and conferences

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Journal article
Published: 12 May 2021 in Sensors
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A smart city represents an improvement of today’s cities, both functionally and structurally, that strategically utilizes several smart factors, capitalizing on Information and Communications Technology (ICT) to increase the city’s sustainable growth and strengthen the city’s functions, while ensuring the citizens’ enhanced quality of life and health. Cities can be viewed as a microcosm of interconnected “objects” with which citizens interact daily, which represents an extremely interesting example of a cyber physical system (CPS), where the continuous monitoring of a city’s status occurs through sensors and processors applied within the real-world infrastructure. Each object in a city can be both the collector and distributor of information regarding mobility, energy consumption, air pollution as well as potentially offering cultural and tourist information. As a consequence, the cyber and real worlds are strongly linked and interdependent in a smart city. New services can be deployed when needed, and evaluation mechanisms can be set up to assess the health and success of a smart city. In particular, the objectives of creating ICT-enabled smart city environments target (but are not limited to) improved city services; optimized decision-making; the creation of smart urban infrastructures; the orchestration of cyber and physical resources; addressing challenging urban issues, such as environmental pollution, transportation management, energy usage and public health; the optimization of the use and benefits of next generation (5G and beyond) communication; the capitalization of social networks and their analysis; support for tactile internet applications; and the inspiration of urban citizens to improve their quality of life. However, the large scale deployment of cyber-physical-social systems faces a series of challenges and issues (e.g., energy efficiency requirements, architecture, protocol stack design, implementation, and security), which requires more smart sensing and computing methods as well as advanced networking and communications technologies to provide more pervasive cyber-physical-social services. In this paper, we discuss the challenges, the state-of-the-art, and the solutions to a set of currently unresolved key questions related to CPSs and smart cities.

ACS Style

Antonio Puliafito; Giuseppe Tricomi; Anastasios Zafeiropoulos; Symeon Papavassiliou. Smart Cities of the Future as Cyber Physical Systems: Challenges and Enabling Technologies. Sensors 2021, 21, 3349 .

AMA Style

Antonio Puliafito, Giuseppe Tricomi, Anastasios Zafeiropoulos, Symeon Papavassiliou. Smart Cities of the Future as Cyber Physical Systems: Challenges and Enabling Technologies. Sensors. 2021; 21 (10):3349.

Chicago/Turabian Style

Antonio Puliafito; Giuseppe Tricomi; Anastasios Zafeiropoulos; Symeon Papavassiliou. 2021. "Smart Cities of the Future as Cyber Physical Systems: Challenges and Enabling Technologies." Sensors 21, no. 10: 3349.

Journal article
Published: 14 January 2021 in Current Research in Behavioral Sciences
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Significant efforts have been allocated over the last thirty years towards the definition and measurement of the Emotional Intelligence (EI) construct. Several EI theories and models have been produced to support psychological assessment processes. However, barriers are identified for their wide adoption and exploitation by social scientists. The absence of a common structured format to represent concepts in EI models has resulted in lack of clarity and consistency, while hindering comparison, validation and extensive evaluation processes. Provision of open access to such models and measurement instruments has not been promoted so far, however, considered crucial for their wide adoption. Furthermore, the inclusion of indexes from the sociometry domain can facilitate participatory modeling by multidisciplinary scientists during the development of social and emotional training programs. To address these challenges, we propose EmoSocio, an open access Emotional Intelligence Model, built upon a detailed comparison and synthesis of the main constructs represented in widely accepted EI models and enriched with sociometric indexes at an individual and group level. Upon detailing the methodological approach followed for the development of the EmoSocio model, we present the EI and social constructs of the model, followed by an assessment of the EI part in terms of reliability and validity. EmoSocio is also represented in a semantically-enriched format in the form of an ontology. Our ambition is to provide an open access EI model that can be used by multidisciplinary scientists to evaluate psychological assessment processes and develop interventions, aiming to strengthen interpersonal and intrapersonal competencies.

ACS Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Symeon Papavassiliou. EmoSocio: An open access sociometry-enriched Emotional Intelligence model. Current Research in Behavioral Sciences 2021, 2, 100015 .

AMA Style

Eleni Fotopoulou, Anastasios Zafeiropoulos, Symeon Papavassiliou. EmoSocio: An open access sociometry-enriched Emotional Intelligence model. Current Research in Behavioral Sciences. 2021; 2 ():100015.

Chicago/Turabian Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Symeon Papavassiliou. 2021. "EmoSocio: An open access sociometry-enriched Emotional Intelligence model." Current Research in Behavioral Sciences 2, no. : 100015.

Conference paper
Published: 03 June 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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The development of Social and Emotional competences of students can significantly improve their learning and social outcomes. This prompts for tools to assist tutors in accomplishing social and emotional learning activities and evaluating the impact achieved. To do so, the blending of Recommender Systems with Machine Learning technologies can be proven beneficial for the design of intelligent and self-learning tools with the capacity to recommend activities, aligned with the social and emotional needs of educational groups. In the current manuscript, we detail a modeling approach for an interactive Recommender System that aims to suggest educational activities to tutors for improving the social and emotional competences of students, taking advantage of Reinforcement Learning techniques. A Reinforcement Learning model has been designed that considers the evolution of students’ social and emotional characteristics and the provided feedback through a set of interactions. Short evaluation of the detailed approach is provided, focusing on validating its appropriateness to serve educational needs.

ACS Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Michalis Feidakis; Dimitrios Metafas; Symeon Papavassiliou. An Interactive Recommender System Based on Reinforcement Learning for Improving Emotional Competences in Educational Groups. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 248 -258.

AMA Style

Eleni Fotopoulou, Anastasios Zafeiropoulos, Michalis Feidakis, Dimitrios Metafas, Symeon Papavassiliou. An Interactive Recommender System Based on Reinforcement Learning for Improving Emotional Competences in Educational Groups. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():248-258.

Chicago/Turabian Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Michalis Feidakis; Dimitrios Metafas; Symeon Papavassiliou. 2020. "An Interactive Recommender System Based on Reinforcement Learning for Improving Emotional Competences in Educational Groups." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 248-258.

Journal article
Published: 04 January 2020 in Journal of Sensor and Actuator Networks
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5G is considered to be the technology that will accommodate the development and management of innovative services with stringent and diverse requirements from end users, calling for new business models from the industry. In this context, the development and efficient management of Network Services (NS) serving specific vertical industries and spanning across multiple administrative domains and heterogeneous infrastructures is challenging. The main challenges regard the efficient provision of NSs considering the Quality of Service (QoS) requirements per vertical industry along with the optimal usage of the allocated resources. Towards addressing these challenges, this paper details an innovative approach that we have developed for managing and orchestrating such NSs, called SONATA, and compare it with OSM and Cloudify, which are two of the most known open-source Management and Orchestration (MANO) frameworks. In addition to examining the supported orchestration mechanisms per MANO framework, an evaluation of main operational and functional KPIs is provided based on experimentation using a real testbed. The final aim is the identification of their strong and weak points, and the assessment of their suitability for serving diverse vertical industry needs, including of course the Internet of Things (IoT) service ecosystem.

ACS Style

Panagiotis Trakadas; Panagiotis Karkazis; Helen C. Leligou; Theodore Zahariadis; Felipe Vicens; Arturo Zurita; Pol Alemany; Thomas Soenen; Carlos Parada; Jose Bonnet; Eleni Fotopoulou; Anastasios Zafeiropoulos; Evgenia Kapassa; Marios Touloupou; Dimosthenis Kyriazis. Comparison of Management and Orchestration Solutions for the 5G Era. Journal of Sensor and Actuator Networks 2020, 9, 4 .

AMA Style

Panagiotis Trakadas, Panagiotis Karkazis, Helen C. Leligou, Theodore Zahariadis, Felipe Vicens, Arturo Zurita, Pol Alemany, Thomas Soenen, Carlos Parada, Jose Bonnet, Eleni Fotopoulou, Anastasios Zafeiropoulos, Evgenia Kapassa, Marios Touloupou, Dimosthenis Kyriazis. Comparison of Management and Orchestration Solutions for the 5G Era. Journal of Sensor and Actuator Networks. 2020; 9 (1):4.

Chicago/Turabian Style

Panagiotis Trakadas; Panagiotis Karkazis; Helen C. Leligou; Theodore Zahariadis; Felipe Vicens; Arturo Zurita; Pol Alemany; Thomas Soenen; Carlos Parada; Jose Bonnet; Eleni Fotopoulou; Anastasios Zafeiropoulos; Evgenia Kapassa; Marios Touloupou; Dimosthenis Kyriazis. 2020. "Comparison of Management and Orchestration Solutions for the 5G Era." Journal of Sensor and Actuator Networks 9, no. 1: 4.

Journal article
Published: 11 March 2019 in IEEE Internet of Things Journal
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The Internet of Things brings a multi-disciplinary revolution in several application areas. However, security and privacy concerns are undermining a reliable and resilient broad-scale deployment of IoT-enabled Critical Infrastructures (IoT-CIs). To fill this gap, this paper proposes a comprehensive architectural design that captures the main security and privacy challenges related to Cyber-physical Systems and IoT-CIs. The architecture is devised to empower IoT systems and networks to make autonomous security decisions through the usage of novel technologies such as Software Defined Networking (SDN) and Network Function Virtualization (NFV), as well as endowing them with intelligent and dynamic security reaction capabilities by relying on monitoring methodologies and cyber-situational tools. The architecture has been successfully implemented and evaluated in the scope of ANASTACIA H2020 EU research project.

ACS Style

Alejandro Molina Zarca; Jorge Bernal Bernabe; Ruben Trapero; Diego Rivera; Jesus Villalobos; Antonio Skarmeta; Stefano Bianchi; Anastasios Zafeiropoulos; Panagiotis Gouvas. Security Management Architecture for NFV/SDN-Aware IoT Systems. IEEE Internet of Things Journal 2019, 6, 8005 -8020.

AMA Style

Alejandro Molina Zarca, Jorge Bernal Bernabe, Ruben Trapero, Diego Rivera, Jesus Villalobos, Antonio Skarmeta, Stefano Bianchi, Anastasios Zafeiropoulos, Panagiotis Gouvas. Security Management Architecture for NFV/SDN-Aware IoT Systems. IEEE Internet of Things Journal. 2019; 6 (5):8005-8020.

Chicago/Turabian Style

Alejandro Molina Zarca; Jorge Bernal Bernabe; Ruben Trapero; Diego Rivera; Jesus Villalobos; Antonio Skarmeta; Stefano Bianchi; Anastasios Zafeiropoulos; Panagiotis Gouvas. 2019. "Security Management Architecture for NFV/SDN-Aware IoT Systems." IEEE Internet of Things Journal 6, no. 5: 8005-8020.

Journal article
Published: 26 January 2019 in Education Sciences
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Sociometric-oriented approaches have been applied the last years in numerous cases and domains, targeting at the improvement of social groups’ characteristics for achieving personal and team-based objectives. Considering the existing approaches and the published results, in the current study, a set of emotional intervention activities based on a sociometric-oriented approach were designed and implemented with the clear objective to augment social cohesion within members of a social group in primary school students. Petrides’ trait emotional model was used to identify the emotional profile of the experimental and control group members, while the set of implemented activities was based on Bisquerra’s emotional competencies model. Sociometrics were used to evaluate the initial, intermediate and final level of social cohesion of both groups. Based on the realized statistical analysis and the produced evaluation results, useful insights with regards to the social group indicators that mainly affect the social cohesion levels are extracted and presented. It should be noted that the detailed study was based on the exclusive usage of open-source Information and Communication Technologies (ICT) tools for supporting educational needs.

ACS Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Albert Alegre. Improving Social Cohesion in Educational Environments Based on A Sociometric-Oriented Emotional Intervention Approach. Education Sciences 2019, 9, 24 .

AMA Style

Eleni Fotopoulou, Anastasios Zafeiropoulos, Albert Alegre. Improving Social Cohesion in Educational Environments Based on A Sociometric-Oriented Emotional Intervention Approach. Education Sciences. 2019; 9 (1):24.

Chicago/Turabian Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Albert Alegre. 2019. "Improving Social Cohesion in Educational Environments Based on A Sociometric-Oriented Emotional Intervention Approach." Education Sciences 9, no. 1: 24.

Proceedings article
Published: 01 June 2018 in 2018 Global Internet of Things Summit (GIoTS)
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Numerous tools and approaches are evolving towards the support of data mining and analysis processes, focusing on part or the overall lifecycle of such processes. In parallel, penetration of data analytics tools in the market is continuously increasing, along with their adoption by various stakeholders, including data scientists, decision and policy makers and business analysts. However, given the wide diversity in the needs for realizing an analysis and the level of expertise of the various stakeholders, there is a need for design and implementation of analysis toolkits that can support part or the overall lifecycle of an analysis process, without imposing dependencies on the type of tool or technology to be used. In the current manuscript, an approach for detaching the design, development and execution of big data analysis processes is detailed, focusing on the realization of energy and behavioral analytics, targeted to supporting the increase of energy efficiency in smart buildings through behavioral change of the citizens. The overall architectural approach as well as the set of energy and behavioral analysis processes integrated are detailed.

ACS Style

Anastasios Zafeiropoulos; Eleni Fotopoulou; Aurora Gonzalez-Vidal; Antonio Skarmeta. Detaching the design, development and execution of big data analysis processes: A case study based on energy and behavioral analytics. 2018 Global Internet of Things Summit (GIoTS) 2018, 1 -6.

AMA Style

Anastasios Zafeiropoulos, Eleni Fotopoulou, Aurora Gonzalez-Vidal, Antonio Skarmeta. Detaching the design, development and execution of big data analysis processes: A case study based on energy and behavioral analytics. 2018 Global Internet of Things Summit (GIoTS). 2018; ():1-6.

Chicago/Turabian Style

Anastasios Zafeiropoulos; Eleni Fotopoulou; Aurora Gonzalez-Vidal; Antonio Skarmeta. 2018. "Detaching the design, development and execution of big data analysis processes: A case study based on energy and behavioral analytics." 2018 Global Internet of Things Summit (GIoTS) , no. : 1-6.

Proceedings
Published: 01 January 2018 in Proceedings
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Un-managed surface and groundwater exploitation in coastal areas usually leads to deterioration of such sensitive ecosystems by means of water resources degradation and/or increased salinity. The coastal partof Marathon is a typical Mediterranean hydro-environment that hosts a naturally occurring coastal wetland linked to a typical coastal and today degraded hydrogeological system of a semi-arid region. A smart engineered Subsurface-Water-Solution (SWS)system composed ofan optimised Pump & Treat componentintegrated with an Aquifer Storage and Recovery (ASR) scheme in this area is envisagedcontribute to the remediationof the groundwater system and the wetland.

ACS Style

Martha Perdikaki; Andreas Kallioras; Klio Monokrousou; Christoforos Christoforidis; Dimitris Iossifidis; Eri Bizani; Anastasios Zafeiropoulos; Klisthenis Dimitriadis; Klaasjan Raat; Gerard Van Den Berg; Christos Makropoulos. Integrated Subsurface Water Solutions for Coastal Wetland Restoration through Integrated Pump&Treat and Aquifer Storage and Recovery (ASR). Proceedings 2018, 2, 665 .

AMA Style

Martha Perdikaki, Andreas Kallioras, Klio Monokrousou, Christoforos Christoforidis, Dimitris Iossifidis, Eri Bizani, Anastasios Zafeiropoulos, Klisthenis Dimitriadis, Klaasjan Raat, Gerard Van Den Berg, Christos Makropoulos. Integrated Subsurface Water Solutions for Coastal Wetland Restoration through Integrated Pump&Treat and Aquifer Storage and Recovery (ASR). Proceedings. 2018; 2 (11):665.

Chicago/Turabian Style

Martha Perdikaki; Andreas Kallioras; Klio Monokrousou; Christoforos Christoforidis; Dimitris Iossifidis; Eri Bizani; Anastasios Zafeiropoulos; Klisthenis Dimitriadis; Klaasjan Raat; Gerard Van Den Berg; Christos Makropoulos. 2018. "Integrated Subsurface Water Solutions for Coastal Wetland Restoration through Integrated Pump&Treat and Aquifer Storage and Recovery (ASR)." Proceedings 2, no. 11: 665.

Journal article
Published: 07 September 2017 in Sensors
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Considering that the largest part of end-use energy consumption worldwide is associated with the buildings sector, there is an inherent need for the conceptualization, specification, implementation, and instantiation of novel solutions in smart buildings, able to achieve significant reductions in energy consumption through the adoption of energy efficient techniques and the active engagement of the occupants. Towards the design of such solutions, the identification of the main energy consuming factors, trends, and patterns, along with the appropriate modeling and understanding of the occupants’ behavior and the potential for the adoption of environmentally-friendly lifestyle changes have to be realized. In the current article, an innovative energy-aware information technology (IT) ecosystem is presented, aiming to support the design and development of novel personalized energy management and awareness services that can lead to occupants’ behavioral change towards actions that can have a positive impact on energy efficiency. Novel information and communication technologies (ICT) are exploited towards this direction, related mainly to the evolution of the Internet of Things (IoT), data modeling, management and fusion, big data analytics, and personalized recommendation mechanisms. The combination of such technologies has resulted in an open and extensible architectural approach able to exploit in a homogeneous, efficient and scalable way the vast amount of energy, environmental, and behavioral data collected in energy efficiency campaigns and lead to the design of energy management and awareness services targeted to the occupants’ lifestyles. The overall layered architectural approach is detailed, including design and instantiation aspects based on the selection of set of available technologies and tools. Initial results from the usage of the proposed energy aware IT ecosystem in a pilot site at the University of Murcia are presented along with a set of identified open issues for future research.

ACS Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Fernando Terroso-Sáenz; Umutcan Şimşek; Aurora González-Vidal; George Tsiolis; Panagiotis Gouvas; Paris Liapis; Anna Fensel; Antonio Skarmeta. Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings. Sensors 2017, 17, 2054 .

AMA Style

Eleni Fotopoulou, Anastasios Zafeiropoulos, Fernando Terroso-Sáenz, Umutcan Şimşek, Aurora González-Vidal, George Tsiolis, Panagiotis Gouvas, Paris Liapis, Anna Fensel, Antonio Skarmeta. Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings. Sensors. 2017; 17 (9):2054.

Chicago/Turabian Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Fernando Terroso-Sáenz; Umutcan Şimşek; Aurora González-Vidal; George Tsiolis; Panagiotis Gouvas; Paris Liapis; Anna Fensel; Antonio Skarmeta. 2017. "Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings." Sensors 17, no. 9: 2054.

Proceedings article
Published: 01 September 2017 in 2017 29th International Teletraffic Congress (ITC 29)
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ACS Style

Panagiotis Gouvas; Anastasios Zafeiropoulos; Constantinos Vassilakis; Eleni Fotopoulou; George Tsiolis; Roberto Bruschi; Raffaele Bolla; Franco Davoli. Design, Development and Orchestration of 5G-Ready Applications over Sliced Programmable Infrastructure. 2017 29th International Teletraffic Congress (ITC 29) 2017, 13 -18.

AMA Style

Panagiotis Gouvas, Anastasios Zafeiropoulos, Constantinos Vassilakis, Eleni Fotopoulou, George Tsiolis, Roberto Bruschi, Raffaele Bolla, Franco Davoli. Design, Development and Orchestration of 5G-Ready Applications over Sliced Programmable Infrastructure. 2017 29th International Teletraffic Congress (ITC 29). 2017; ():13-18.

Chicago/Turabian Style

Panagiotis Gouvas; Anastasios Zafeiropoulos; Constantinos Vassilakis; Eleni Fotopoulou; George Tsiolis; Roberto Bruschi; Raffaele Bolla; Franco Davoli. 2017. "Design, Development and Orchestration of 5G-Ready Applications over Sliced Programmable Infrastructure." 2017 29th International Teletraffic Congress (ITC 29) , no. : 13-18.

Preprint
Published: 20 July 2017
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In this paper, ENTROPY platform, an IT ecosystem for supporting energy efficiency in buildings through behavioural change of the occupants is provided. The ENTROPY platform targets at providing a set of mechanisms for accelerating the adoption of energy efficient practices through the increase of the energy awareness and energy saving potential of the occupants. The platform takes advantage of novel sensor networking technologies for supporting efficient sensor data aggregation mechanisms, semantic web technologies for unified data representation, machine learning mechanisms for getting insights from the available data and recommendation mechanisms for providing personalised content to end users. These technologies are combined and provided through an integrated platform, targeting at leading to occupants' behavioural change with regards to their energy consumption profiles.

ACS Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Fernando Terroso; Aurora Gonzalez; Antonio Skarmeta; Umutcan Şimşek; Anna Fensel. Data Aggregation, Fusion and Recommendations for Strengthening Citizens Energy-aware Behavioural Profiles. 2017, 1 .

AMA Style

Eleni Fotopoulou, Anastasios Zafeiropoulos, Fernando Terroso, Aurora Gonzalez, Antonio Skarmeta, Umutcan Şimşek, Anna Fensel. Data Aggregation, Fusion and Recommendations for Strengthening Citizens Energy-aware Behavioural Profiles. . 2017; ():1.

Chicago/Turabian Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Fernando Terroso; Aurora Gonzalez; Antonio Skarmeta; Umutcan Şimşek; Anna Fensel. 2017. "Data Aggregation, Fusion and Recommendations for Strengthening Citizens Energy-aware Behavioural Profiles." , no. : 1.

Proceedings article
Published: 01 June 2017 in 2017 Global Internet of Things Summit (GIoTS)
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In this paper, ENTROPY platform, an IT ecosystem for supporting energy efficiency in buildings through behavioural change of the occupants is provided. The ENTROPY platform targets at providing a set of mechanisms for accelerating the adoption of energy efficient practices through the increase of the energy awareness and energy saving potential of the occupants. The platform takes advantage of novel sensor networking technologies for supporting efficient sensor data aggregation mechanisms, semantic web technologies for unified data representation, machine learning mechanisms for getting insights from the available data and recommendation mechanisms for providing personalised content to end users. These technologies are combined and provided through an integrated platform, targeting at leading to occupants' behavioural change with regards to their energy consumption profiles.

ACS Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Fernando Terroso; Aurora Gonzalez; Antonio Skarmeta; Umutcan Şimşek; Anna Fensel. Data aggregation, fusion and recommendations for strengthening citizens energy-aware behavioural profiles. 2017 Global Internet of Things Summit (GIoTS) 2017, 1 -6.

AMA Style

Eleni Fotopoulou, Anastasios Zafeiropoulos, Fernando Terroso, Aurora Gonzalez, Antonio Skarmeta, Umutcan Şimşek, Anna Fensel. Data aggregation, fusion and recommendations for strengthening citizens energy-aware behavioural profiles. 2017 Global Internet of Things Summit (GIoTS). 2017; ():1-6.

Chicago/Turabian Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Fernando Terroso; Aurora Gonzalez; Antonio Skarmeta; Umutcan Şimşek; Anna Fensel. 2017. "Data aggregation, fusion and recommendations for strengthening citizens energy-aware behavioural profiles." 2017 Global Internet of Things Summit (GIoTS) , no. : 1-6.

Journal article
Published: 17 October 2016 in Procedia Computer Science
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ICT (Information and Communication Technology) and, in particular, software is more and more pervasive and it cannot be considered anymore as a minor element of a complex systems. In domains like cloud, big data, IoT (Internet of Things), CPS (Cyber-Physical Systems) it is the core element. We need to consolidate the software engineering discipline, which, despite the impressive achievements in the area of software technology, is probably one of the youngest scientific and technological disciplines with about 60 years of history. This paper summarizes the challenges that the Software Engineering for Services and Applications (SE4SA) cluster is considering as relevant.

ACS Style

Giuliano Casale; Cristina Chesta; Peter Deussen; Elisabetta Di Nitto; Panagiotis Gouvas; Sotiris Koussouris; Vlado Stankovski; Andreas Symeonidis; Vlassis Vlassiou; Anastasios Zafeiropoulos; Zhiming Zhao. Current and Future Challenges of Software Engineering for Services and Applications. Procedia Computer Science 2016, 97, 34 -42.

AMA Style

Giuliano Casale, Cristina Chesta, Peter Deussen, Elisabetta Di Nitto, Panagiotis Gouvas, Sotiris Koussouris, Vlado Stankovski, Andreas Symeonidis, Vlassis Vlassiou, Anastasios Zafeiropoulos, Zhiming Zhao. Current and Future Challenges of Software Engineering for Services and Applications. Procedia Computer Science. 2016; 97 ():34-42.

Chicago/Turabian Style

Giuliano Casale; Cristina Chesta; Peter Deussen; Elisabetta Di Nitto; Panagiotis Gouvas; Sotiris Koussouris; Vlado Stankovski; Andreas Symeonidis; Vlassis Vlassiou; Anastasios Zafeiropoulos; Zhiming Zhao. 2016. "Current and Future Challenges of Software Engineering for Services and Applications." Procedia Computer Science 97, no. : 34-42.

Conference paper
Published: 12 September 2016 in Proceedings of the 12th International Conference on Semantic Systems
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Residential and office buildings have the largest share in energy consumption, followed by transport and industry. At the same time, many buildings do not leverage all feasible opportunities to increase their energy efficiency. Particularly, the solutions influencing the behaviour of the end-users are lacking. In this paper, we present a novel semantics-empowered approach for motivating end-users towards the adoption of energy efficient lifestyles, based on recommendations provided through personalised applications and serious games. As a foundation of our approach, we have designed two semantic models to represent energy consumption and behavioural characteristics of consumers. The Energy Efficiency Semantic Model represents energy consumption data collected from a heterogeneous sensor network, while the Behavioural Semantic Model focuses on energy consumption profile of end-users. These models are being validated in the reference architecture and use cases of EU H2020 project ENTROPY.

ACS Style

Umutcan Şimşek; Anna Fensel; Anastasios Zafeiropoulos; Eleni Fotopoulou; Paris Liapis; Thanassis Bouras; Fernando Terroso Saenz; Antonio F. Skarmeta Gómez. A semantic approach towards implementing energy efficient lifestyles through behavioural change. Proceedings of the 12th International Conference on Semantic Systems 2016, 173 -176.

AMA Style

Umutcan Şimşek, Anna Fensel, Anastasios Zafeiropoulos, Eleni Fotopoulou, Paris Liapis, Thanassis Bouras, Fernando Terroso Saenz, Antonio F. Skarmeta Gómez. A semantic approach towards implementing energy efficient lifestyles through behavioural change. Proceedings of the 12th International Conference on Semantic Systems. 2016; ():173-176.

Chicago/Turabian Style

Umutcan Şimşek; Anna Fensel; Anastasios Zafeiropoulos; Eleni Fotopoulou; Paris Liapis; Thanassis Bouras; Fernando Terroso Saenz; Antonio F. Skarmeta Gómez. 2016. "A semantic approach towards implementing energy efficient lifestyles through behavioural change." Proceedings of the 12th International Conference on Semantic Systems , no. : 173-176.

Proceedings article
Published: 01 September 2016 in 2016 28th International Teletraffic Congress (ITC 28)
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Given the inability of Highly-Distributed-Application-Developers to foresee the changes as well as the heterogeneity on the underlying infrastructure, it is considerable crucial the design and development of novel software paradigms that facilitate application developers to take advantage of the emerging programmability of the underlying infrastructure and therefore develop Reconfigurable-by-Design applications. In parallel, it is crucial to design solutions that are scalable, support high performance, are resilient-to-failure and take into account the conditions of their runtime environment being able to adapt. Towards this direction, the ARCADIA project aims to design and validate a Novel Reconfigurable-By-Design Highly Distributed Applications (HDAs) Development Paradigm over Programmable Infrastructure. The proposed framework relies on the development of an extensible Context Model which will be used by developers to produce annotated source-code and generate HDAs as service chains of application tiers and network functions containing meaningful semantics. A Smart Controller responsible for on-boarding the HDAs will undertake the tasks of translating annotations to optimal infrastructural configuration. Such a controller will enforce an optimal configuration to the registered programmable resources and will proactively adjust the configuration plan based on the Infrastructural State and the Application State to meet objectives and apply policies. Driving a HDA through its entire lifetime proves highly beneficial for all stakeholders since the synergy of the introduced applications' reconfigurability and the underlying infrastructure's programmability, facilitates the development of new fine-grained strategies able to fulfil new and complex requirements.

ACS Style

Panagiotis Gouvas; Constantinos Vassilakis; Eleni Fotopoulou; Anastasios Zafeiropoulos. A Novel Reconfigurable-by-Design Highly Distributed Applications Development Paradigm over Programmable Infrastructure. 2016 28th International Teletraffic Congress (ITC 28) 2016, 2, 7 -12.

AMA Style

Panagiotis Gouvas, Constantinos Vassilakis, Eleni Fotopoulou, Anastasios Zafeiropoulos. A Novel Reconfigurable-by-Design Highly Distributed Applications Development Paradigm over Programmable Infrastructure. 2016 28th International Teletraffic Congress (ITC 28). 2016; 2 ():7-12.

Chicago/Turabian Style

Panagiotis Gouvas; Constantinos Vassilakis; Eleni Fotopoulou; Anastasios Zafeiropoulos. 2016. "A Novel Reconfigurable-by-Design Highly Distributed Applications Development Paradigm over Programmable Infrastructure." 2016 28th International Teletraffic Congress (ITC 28) 2, no. : 7-12.

Journal article
Published: 06 August 2016 in Information Systems Frontiers
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Linked Data has become the current W3C recommended approach for publishing data on the World Wide Web as it is sharable, extensible, and easily re-usable. An ecosystem of linked data hubs in the Public Sector has the potential to offer significant benefits to its consumers (other public offices and ministries, as well as researchers, citizens and SMEs), such as increased accessibility and re-use value of their data through the use of web-scale identifiers and easy interlinking with datasets of other public data providers. The power and flexibility of the schema-defying Linked Data, however, is counterbalanced by inborn factors that diminish the potential for cost-effective and efficient adoption by the Public Sector. The paper analyzes these challenges in view of the current state-of-the-art in linked data technologies and proposes a technical framework that aims to hide the underlying complexity of linked data while maintaining and promoting the interlinking capabilities enabled by the Linked Data Paradigm. The paper presents the innovations behind our proposed solutions as well as their advantages, especially for the non-expert users.

ACS Style

Spiros Mouzakitis; Dimitris Papaspyros; Michael Petychakis; Sotiris Koussouris; Anastasios Zafeiropoulos; Eleni Fotopoulou; Lena Farid; Fabrizio Orlandi; Judie Attard; John E. Psarras. Challenges and opportunities in renovating public sector information by enabling linked data and analytics. Information Systems Frontiers 2016, 19, 321 -336.

AMA Style

Spiros Mouzakitis, Dimitris Papaspyros, Michael Petychakis, Sotiris Koussouris, Anastasios Zafeiropoulos, Eleni Fotopoulou, Lena Farid, Fabrizio Orlandi, Judie Attard, John E. Psarras. Challenges and opportunities in renovating public sector information by enabling linked data and analytics. Information Systems Frontiers. 2016; 19 (2):321-336.

Chicago/Turabian Style

Spiros Mouzakitis; Dimitris Papaspyros; Michael Petychakis; Sotiris Koussouris; Anastasios Zafeiropoulos; Eleni Fotopoulou; Lena Farid; Fabrizio Orlandi; Judie Attard; John E. Psarras. 2016. "Challenges and opportunities in renovating public sector information by enabling linked data and analytics." Information Systems Frontiers 19, no. 2: 321-336.

Book chapter
Published: 31 January 2016 in Advances in Intelligent Systems and Computing
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The initial stage of the conceptual product design requires creativity and is characterized by an intensive knowledge exploration process. To this purpose annotated resources have to be available, a need which introduces requirements on knowledge extraction tools. In this paper, we assess the current state of this technology vis-à-vis the demands identified to support the work of designers.

ACS Style

Julia Kantorovitch; Ilkka Niskanen; Anastasios Zafeiropoulos; Aggelos Liapis; Jose Miguel Garrido Gonzalez; Alexandros Didaskalou; Enrico Motta. Knowledge Extraction and Annotation Tools to Support Creativity at the Initial Stage of Product Design: Requirements and Assessment. Advances in Intelligent Systems and Computing 2016, 145 -159.

AMA Style

Julia Kantorovitch, Ilkka Niskanen, Anastasios Zafeiropoulos, Aggelos Liapis, Jose Miguel Garrido Gonzalez, Alexandros Didaskalou, Enrico Motta. Knowledge Extraction and Annotation Tools to Support Creativity at the Initial Stage of Product Design: Requirements and Assessment. Advances in Intelligent Systems and Computing. 2016; ():145-159.

Chicago/Turabian Style

Julia Kantorovitch; Ilkka Niskanen; Anastasios Zafeiropoulos; Aggelos Liapis; Jose Miguel Garrido Gonzalez; Alexandros Didaskalou; Enrico Motta. 2016. "Knowledge Extraction and Annotation Tools to Support Creativity at the Initial Stage of Product Design: Requirements and Assessment." Advances in Intelligent Systems and Computing , no. : 145-159.

Journal article
Published: 01 January 2016 in Procedia Computer Science
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ACS Style

Panagiotis Gouvas; Eleni Fotopoulou; Anastasios Zafeiropoulos; Constantinos Vassilakis. A Context Model and Policies Management Framework for Reconfigurable-by-design Distributed Applications. Procedia Computer Science 2016, 97, 122 -125.

AMA Style

Panagiotis Gouvas, Eleni Fotopoulou, Anastasios Zafeiropoulos, Constantinos Vassilakis. A Context Model and Policies Management Framework for Reconfigurable-by-design Distributed Applications. Procedia Computer Science. 2016; 97 ():122-125.

Chicago/Turabian Style

Panagiotis Gouvas; Eleni Fotopoulou; Anastasios Zafeiropoulos; Constantinos Vassilakis. 2016. "A Context Model and Policies Management Framework for Reconfigurable-by-design Distributed Applications." Procedia Computer Science 97, no. : 122-125.

Journal article
Published: 30 December 2015 in IEEE Access
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The design of solutions that are able to exploit the available data collected in smart cities environments can lead to insights that can guide the implementation of approaches that have the potential to significantly improve the quality of life within a city. Such solutions include tools for the production of advanced analytics considering data fusion challenges. The preparation of qualitative input data sets, collected in many cases through heterogeneous sources and represented in various formats, constitute a very important step toward a meaningful analysis. Such input data sets, combined with approaches that reduce the data processing burden and support the easy and flexible-in terms of configuration-replication of an analysis, can lead to the next generation analytics tools. In this paper, a novel approach toward the production and consumption of linked data analytics in urban environments is presented. The approach is based on the exploitation of linked data principles, enhancing the ability of managing and processing of data, in ways not available before. In addition to the description of the overall technical approach, the application of the proposed solution into a real-life scenario for examining the health impact of outdoor air pollution in urban areas within an international, national, and regional perspective is detailed. A set of interesting results are produced along with their interpretation toward the provision of suggestions for policy making purposes.

ACS Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Dimitris Papaspyros; Panagiotis Hasapis; George Tsiolis; Thanassis Bouras; Spyros Mouzakitis; Norma Zanetti. Linked Data Analytics in Interdisciplinary Studies: The Health Impact of Air Pollution in Urban Areas. IEEE Access 2015, 4, 149 -164.

AMA Style

Eleni Fotopoulou, Anastasios Zafeiropoulos, Dimitris Papaspyros, Panagiotis Hasapis, George Tsiolis, Thanassis Bouras, Spyros Mouzakitis, Norma Zanetti. Linked Data Analytics in Interdisciplinary Studies: The Health Impact of Air Pollution in Urban Areas. IEEE Access. 2015; 4 ():149-164.

Chicago/Turabian Style

Eleni Fotopoulou; Anastasios Zafeiropoulos; Dimitris Papaspyros; Panagiotis Hasapis; George Tsiolis; Thanassis Bouras; Spyros Mouzakitis; Norma Zanetti. 2015. "Linked Data Analytics in Interdisciplinary Studies: The Health Impact of Air Pollution in Urban Areas." IEEE Access 4, no. : 149-164.

Conference paper
Published: 28 October 2015 in Transactions on Petri Nets and Other Models of Concurrency XV
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The introduction of the linked data concepts to SMEs, coupled with sophisticated analytics and visualizations deriving through an integrated environment, called the LinDA Workbench, reduces the effort of specific workflows within a company, by almost 50% in terms of time, while its major benefit is the introduction of new, innovative, business models and values in the SMEs’ service provisioning. In this manuscript, the initial findings of the Business Intelligence Analytics (BIA) pilot operation of the LinDA project is discussed, which concerns the examination of the effects of Over-The-Counter (OTC) medicines liberalisation in Europe. The analysis aims at identifying correlations between pharmaceutical, healthcare, socio-economic and political parameters and introduces several research questions, which the present paper aims to answer, such as: Are the linked data useful for SMEs? Which are the benefits of integrating them in its operational environment? Are the analysis results of such a scenario meaningful for the SME service provisioning?

ACS Style

Barbara Kapourani; Eleni Fotopoulou; Dimitris Papaspyros; Anastasios Zafeiropoulos; Spyros Mouzakitis; Sotirios Koussouris. Propelling SMEs Business Intelligence Through Linked Data Production and Consumption. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 107 -116.

AMA Style

Barbara Kapourani, Eleni Fotopoulou, Dimitris Papaspyros, Anastasios Zafeiropoulos, Spyros Mouzakitis, Sotirios Koussouris. Propelling SMEs Business Intelligence Through Linked Data Production and Consumption. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():107-116.

Chicago/Turabian Style

Barbara Kapourani; Eleni Fotopoulou; Dimitris Papaspyros; Anastasios Zafeiropoulos; Spyros Mouzakitis; Sotirios Koussouris. 2015. "Propelling SMEs Business Intelligence Through Linked Data Production and Consumption." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 107-116.