Ioanna Roussaki

• Assistant Professor
• Professor (Associate) at National Technical University of Athens

This paper focuses on the detection of fake accounts on Instagram and proposes a novel solution that aims to address this problem. More specifically, a machine learning-based solution is introduced that can be employed by Instagram-based applications to combat this phenomenon. To accomplish this, publicly available data from Instagram users are col...

The evolution of the Internet of Things paradigm in recent years demonstrate a significant impact on the transportation sector, leading to the emergence of a new research field, known as the Internet of Vehicles (IoV). In the IoV, vehicles can exchange information with each other and with the roadside units making use of Vehicular Ad Hoc Networks (...

This paper investigates the usage of machine learning (ML) algorithms on agricultural images with the aim of extracting information regarding the health of plants. More specifically, a custom convolutional neural network is trained on Google Colab using photos of healthy and unhealthy plants. The trained models are evaluated using various single-bo...

The Internet of Things (IoT) is a technological paradigm that has gained significant momentum the last decade and, among other features, enables the development of intelligent and interoperable device networks. In this respect, it has triggered the creation and evolution of vehicular ad-hoc networks (VANETs), which are initially implemented in orde...

The Internet of Things (IoT) is a technological paradigm that has gained significant momentum that last decade and, among others, enables the development of intelligent and interoperable device networks. In this respect, it has triggered the creation and evolution of VANETs (Vehicular Ad Hoc Networks), which are initially implemented in order to gu...

Precision agriculture or smart farming brings the promise of significantly more efficient systems which lay a substantial foundation for the EU Green Deal in terms of carbon footprint reduction, sustainability, and increased productivity coupled with energy efficiency. However, deployment of technological solutions that enable this new era of agric...

Sleep is a key aspect affecting health, cognitive functionality, and human psychology on all occasions. Therefore, on the one hand, sleep greatly impacts the quality of life, while on the other hand poor health and/or psychology often deteriorate the quality of sleep. Moving beyond the golden standard for sleep studies, i.e. polysomnography, and bu...

One of the key challenges towards the realization of smart farming solutions is related to the lack of interoperability between different systems and platforms in the agri-food sector, especially the ones offered by different technology providers. In this respect, seamless exchange and integration of the data produced or collected by those systems...

Parkinson’s disease is a chronic neurodegenerative disease that affects a large portion of the population, especially the elderly. It manifests with motor, cognitive and other types of symptoms, decreasing significantly the patients’ quality of life. The recent advances in the Internet of Things and Artificial Intelligence fields, including the sub...

The digital transformation in agriculture introduces new challenges in terms of data, knowledge and technology adoption due to critical interoperability issues, and also challenges regarding the identification of the most suitable data sources to be exploited and the information models that must be used. DEMETER (Building an Interoperable, Data-Dri...

Undoubtedly, social media, such as Facebook and Twitter, constitute a major part of our everyday life due to the incredible possibilities they offer to their users. However, Twitter and generally online social networks (OSNs), are increasingly used by automated accounts, widely known as bots, due to their immense popularity across a wide range of u...

With the advent of 5G verticals and the Internet of Things paradigm, Edge Computing has emerged as the most dominant service delivery architecture, placing augmented computing resources in the proximity of end users. The resource orchestration of edge clouds relies on the concept of network slicing, which provides logically isolated computing and n...

The Internet of Things (IoT) paradigm, with a grand variety of devices in large numbers, commonly combined with resource and power limitations dictates new challenges and constraints. The emerging Edge Computing paradigm arises promises to address these issues by placing cloud-type resources, closer to IoT devices. In this context, network slicing...

One of the most significant challenges in Internet of Things (IoT) environments is the protection of privacy. Failing to guarantee the privacy of sensitive data collected and shared over IoT infrastructures is a critical barrier that delays the wide penetration of IoT technologies in several user-centric application domains. Location information is...

Recent market research has revealed a globally growing interest on documentaries that have now become one of the biggest content-wise genre in the movie titles catalog, surpassing traditionally popular genres such as comedy or adventure films. At the same time, modern audiences appear willing to immerse into more interactive and personalized viewin...

The evolution of smart farming and precision agriculture during the last decades has led to an increase of the available solutions that can be used by farmers. However, these two paradigms have not yet achieved high acceptance by end user farmers due to various reasons. In this respect, this paper elaborates on an innovative Multi-Actor Approach ar...

A Cyber-Physical Social System (CPSS) tightly integrates computer systems with the physical world and human activities. In this article, a three-level CPSS for early fire detection is presented to assist public authorities to promptly identify and act on emergency situations. At the bottom level, the system’s architecture involves IoT nodes enabled...

One of the main obstacles towards the promotion of IoT adoption and innovation is data interoperability. Facilitating cross-domain interoperability is expected to be the core element for the realisation of the next generation of the IoT computing paradigm that is already taking shape under the name of Internet of Everything (IoE). In this article,...

The more information users disclose to pervasive systems or social media, the better quality and enhanced experience they enjoy for a wider variety of personalised services. However, the privacy concerns of individuals that use such systems have dramatically risen the last years, especially after several events of massive security breaches in vario...

In recent years, there have been various research efforts aiming to investigate how social media are used to express or influence TV audiences and if possible to estimate TV ratings through the analysis of user interactions via social media. Given that, these efforts are still in their infancy, there is a lack of an established methodology for desi...

The importance of addressing interoperability challenges in Internet of Things (IoT) ecosystems is widely acknowledged. Inspired by the "experimentally-driven research" paradigm, this paper proposes a lightweight data interoperability mechanism the performance and efficiency of which are evaluated via experiments carried out on top of FIRE testbeds...

Unmanned Aerial Vehicles (UAV) facilitate the development of Internet of Things (IoT) ecosystems for smart city and smart environment applications. This paper proposes the adoption of Edge and Fog computing principles to the UAV based forest fire detection application domain through a hierarchical architecture. This three-layer ecosystem combines t...

The proliferation of social media enables the development of innovative services for extracting insights about audience behaviour dynamics. Social media analytics allow the identification of demographics and interests of audiences that are valuable data considered by content producers, in principle driving the overall multimedia production process....

Recent market research has revealed a globally growing interest on documentaries that have now become one of the most populated content-wise genre in the movie titles catalog, surpassing traditionally popular genres such as comedy or adventure films. At the same time, modern audiences appear willing to immerse into more interactive and personalized...

The more information users disclose to pervasive systems or social media, the better quality and enhanced experience they enjoy for a wider variety of personalised services. However, the privacy concerns of individuals that use such systems have dramatically risen the last years, especially after several events of massive security breaches in vario...

CA-MSNs are more intelligent and user-friendly than conventional online or mobile social networks. We first classify CA-MSNs into four categories, and divide their life cycle into four phases: discovery, connection, interaction, and organization. We then introduce personal and community context, and discuss the corresponding taxonomy. Subsequently,...

Testbeds and experimental network facilities accelerate the expansion of disruptive Internet services and support their evolution. The integration of IoT technologies in the context of Unmanned Vehicles (UxVs) and their deployment in federated, real–world testbeds introduce various challenging research issues. This paper presents the Semantic Aggre...

Testbeds and experimental network facilities accelerate the expansion of disruptive Internet services and support their evolution. The integration of IoT technologies in the context of Unmanned Vehicles (UxVs) and their deployment in federated, real–world testbeds introduce various challenging research issues. This paper presents the Semantic Aggre...

The technologies associated with the Internet of Things have great potential for application in the domain of food and agriculture, especially in view of the societal and environmental challenges faced by this sector. From farm to fork, IoT technologies could transform the sector, contributing to food safety, and the reduction of agricultural input...

The more information users disclose to pervasive systems or social media, the better quality and enhanced experience they enjoy for a wider variety of personalised services. However, the privacy concerns of individuals that use such systems have dramatically risen the last years, especially after several events of massive security breaches in vario...

The convergence between mobile telecommunications and the Future Internet opened the way for the development of innovative pervasive computing services. The self-improving Personal Smart Spaces (PSSs) are coupling next generation mobile communications facilities with the features provided by the static smart spaces to support a more ubiquitous, mob...

Social networking is a dominant computing paradigm of the last decade that enables users to virtually interact and socialise, to collaborate and to share any kind of content. A drawback in current social networking systems is that they integrate poorly with the wealth of hardware and software resources that the users have access to locally or remot...

Proactive behaviour of pervasive computing systems cannot be realised without the establishment of suitable and reliable user intent prediction facilities. Most of the existing approaches focus on an individual end-user’s history of interactions and context in order to estimate future user behaviour. Recent trends in pervasive systems allow users t...

Mobile social computing has exploded into people’s lives during the past 10 years, but to become truly pervasive it needs to be much more context-aware and personalizable. The next generation of social media needs to be able to react and adapt to the physical environments in which people live and act. The SOCIETIES project is integrating research u...

Pervasive computing and social computing are two major computing paradigms of this decade, which have evolved more or less in isolation from each other. Integrating pervasive systems with social media can enhance the users' experience and enable them to form pervasive communities with others that share similar interests, habits, profile, behaviour,...

During the last decade, social media have enjoyed meteoric success in bringing people together online. On the other hand, pervasive computing assists users in their everyday tasks, in a seamless unobtrusive manner exploiting the resources available in the user’s environments focusing on the needs of individuals. The time is ripe for the two paradig...

Context-awareness is one of the main aspects of pervasive computing environments. Recently, some social networking systems have also started to exploit context information. These two paradigms serve different purposes. Pervasive computing systems have been designed mainly to address the needs of individual users, thus neglecting the social nature o...

Recently, social networks have become the most prevalent IT paradigm in a way that the vast majority of Internet users maintain one or multiple social networking accounts. These accounts, irrespectively of the underlying service, contain rich information and data for the owner’s preferences, social skills, everyday activities, beliefs and interests...

The provision of pervasive computing services is a challenging research area. This paper elaborates on the notion of Personal Smart Spaces (PSSs) that allows the delivery of pervasive services to mobile users. PSSs aim to couple the facilities offered by next generation mobile communications with the features provided by the static smart spaces to...

Recommending communities in social networks is the problem of detecting, for each member, its membership to one of more communities of other members, where members in each community share some relevant features which guaranteeing that the community as a whole satisfies some desired properties of similarity. As a result, forming these communities re...

Automated negotiations are gradually gaining momentum as a major research subject in several domains of interest. This paper is mainly concerned with the design and evaluation of efficient and easy to deploy strategies in order to enhance the results of the participating parties in automated negotiation procedures. The proposed strategies are based...

The inherent context-awareness properties of pervasive computing and the need for efficient user profiling and location information management quickly made it obvious that context management would become a top priority requirement in telecommunications service platforms. What we now call social networking was ¿born¿ around the early-mid `00s, a tim...

Traditionally, pervasive systems are designed with a focus on the individual, offering services that take advantage of their physical environment and provide a context-aware, personalised user experience. On the other hand, social computing is centred around the notion of a community, leveraging the information about the users and their social rela...

Current research on pervasive computing is opening the way for convergence between mobile telecommunications and the Future Internet. This chapter introduces a novel approach to this convergence in the form of the self-improving Personal Smart Spaces (PSSs). PSSs aim to couple the facilities offered by next generation mobile communications with the...

One of the key objectives of a pervasive computing system is to provide appropriate support to enable the user to manage the increasingly complex environment surrounding her. This includes managing the ever-increasing number of devices which can be accessed wirelessly as well as the vast range of services at her disposal. The aim of the Persist pro...

Automated negotiations introduce a challenging research field that aims to enhance the performance and optimise several aspects of the electronic marketplace. This paper is concerned with the design and evaluation of negotia-tion strategies suitable for intelligent agents acting in Business-to-Consumer e-commerce environments. In order to minimize...

Building agents that negotiate on behalf of their owners aiming to maximise their utility is a quite challenging research field in the artificial intelligence domain. In this paper, such agents are enhanced with techniques based on neural networks (NNs) to predict their opponents' negotiation behaviour, thus achieving more profitable results and be...

Daidalos offers a platform for service and identity management that supports secure context-aware and personalizable delivery of service discovery, composition, and adaptation. It also provides a runtime environment for deployment and execution.

Although PERSIST and C-CAST have different specific objectives they do share a common goal of making use of context and advancing knowledge in building pervasive smart spaces. This paper compares the approaches, analyses the results and considers the outcomes for mobile context-aware services and pervasive computing.

Context management systems are expected to administrate large volumes of spatial and non-spatial information in geographical disperse domains. In particular, when these systems cover wide areas such as cities, countries or even the entire planet, the design of scalable storage, retrieval and propagation mechanisms is paramount. This paper elaborate...

Current research in pervasive computing, as well as in the fields of mobile telecommunications and device manufacture are opening the way for convergence between mobile telecommunications and the traditional Internet towards the Future Internet. The ubiquitous computing paradigm integrates information processing into the objects that surround us in...

This paper provides a summary of the research undertaken in the area of pervasive computing in the European FP6 IST project Daidalos II. Pervasiveness is one of the five key concepts underlying the Daidalos project. We provide an overview and motivation for our research, we justify and describe the overall architecture, and we discuss some of the c...

Neural networks (NNs) provide an efficient tool that can be trained to estimate the value of output parameters given certain metrics. In this paper, NNs are used to enhance intelligent agents that negotiate on behalf of their owners aiming to maximize their utility. More specifically, NNs are exploited in order to predict the hybrid negotiation beh...

This work gives an overview over the challenges for context management systems in Ubiquitous Computing frameworks or Personal Smart Spaces. Focused on the integration of context inference in today’s context management systems (CMSs) we address important design decisions for future frameworks. The inference system we have in mind is probabilistic an...

In a pervasive system it is essential to understa nd the intent of the user in order to predict his/her futu re behaviour. This in turn will help to minimise the user's admin istrative overheads and assist the user to achieve his/her go als. The aim of this paper is to present some aspects of how user i ntent may be handled. It focuses on the archi...

Pervasive computing [1] or as otherwise called Ambient Intelligence [2] aims to assist users in their everyday tasks in a seamless unobtrusive manner. In this framework, there have been various research initiatives aiming towards the design and realization of smart spaces [3] in homes, offices, universities, schools, hospitals, hotels, museums, and...

Pervasive computing envisions a world where people are surrounded by numerous communication and computing interconnected devices that are invisible and assist users in their everyday tasks in a seamless unobtrusive manner. Most pervasive computing research initiatives aim towards the realization of smart spaces, i.e. fixed spaces that provide perva...

There are various critical privacy issues that need to be addressed in the majority of smart space environments. This paper elaborates on the design of a privacy protection framework for personal self-improving smart spaces (PSSs), a concept introduced by the persist project consortium. Compared to other smart spaces, such as smart homes and vehicl...

A major research challenge in the IT domain nowadays is to enable new experiences by building intelligent spaces around users, enhanced by pervasive computing services. The European FP7 Project PERSIST (personal self-improving smart spaces) is investigating a novel approach to meet this challenge. PERSIST aims to define an ecosystem on top of which...

Ubiquitous computing (or ambient intelligence) has been the subject of research in the mobile telecommunications field for many years. Developments such as the Internet of Services and Grid computing have complemented and strengthened this work. The ubiquitous computing paradigm integrates information processing into the objects that surround us in...

In ubiquitous computing environments, context management systems are expected to administrate large volumes of spatial and non-spatial information in geographical disperse domains. In particular, when these systems cover wide areas such as cities, countries or even the entire planet, the design of scalable storage, retrieval and propagation mechani...

Automated negotiation is a very challenging research field that is gaining momentum in the ebusiness domain. There are three main categories of automated negotiations, classified according to the participating agent cardinality and the nature of their interaction (Jennings, Faratin, Lomuscio, Parsons, Sierra, & Wooldridge, 2001): the bilateral, whe...

Making the provision of services QoS-aware is to the advantage of both clients and providers in the e-business domain. This paper studies the problem of providers that receive multiple concurrent requests for services demonstrating different QoS properties. It introduces the “Selective Multiple Choice Knapsack Problem” that aims to identify the ser...

In artificial intelligence systems, building agents that negotiate on behalf of their owners aiming to maximise their utility is a quite challenging research field. In this paper, such agents are enhanced with techniques based on neural networks (NNs) to predict their opponents’ hybrid negotiation behaviour, thus achieving more profitable results....

Pervasive computing systems need to be strongly proactive. Context-awareness contributes to this, thus minimizing human-machine interaction. Context-aware systems are greatly enhanced by the utilization of recorded history of the users' situations and interactions. In this paper, an approach is proposed for modelling, storing and exploiting history...

In the artificial intelligence domain, an emerging research field that rapidly gains momentum is Automated Negotiations (Fatima, Wooldridge, & Jennings, 2007) (Buttner, 2006). In this framework, building intelligent agents (Silva, Romão, Deugo, & da Silva, 2001) adequate for participating in negotiations and acting autonomously on behalf of their o...

Automated negotiation is a very challenging research field that is gaining momentum in the e-business domain. There are three main categories of automated negotiations, classified according to the participating agent cardinality and the nature of their interaction (Jennings, Faratin, Lomuscio, Parsons, Sierra, & Wooldridge, 2001): the bilateral, wh...

E-commerce will strongly penetrate the market if coupled with appropriate technologies and mechanisms. Mobile agents may enhance the intelligence and improve the efficiency of systems in the e-marketplace. We propose a dynamic multilateral negotiation model and construct an efficient negotiation strategy based on a ranking mechanism that does not r...

The design and evaluation of agents handling automated negotiations on behalf of their human or corporate owners is a quite challenging research field. This paper proposes to enhance such agents with learning techniques, in order to achieve more profitable results for the parties they represent. The proposed learning techniques are based on MLP or...

The ontology-based semantic approaches are gradually gaining momentum in ambient intelligent environments such as smart homes, smart cars, intelligent offices, etc. In spite of the significant research work carried out in the ontology design and application field, several issues remain unresolved. The ontologies mainly focus on specific context inf...

Automated negotiation is a very challenging research field that is gaining momentum in the ebusiness domain. There are three main categories of automated negotiations, classified according to the participating agent cardinality and the nature of their interaction (Jennings, Faratin, Lomuscio, Parsons, Sierra, & Wooldridge, 2001): the bilateral, whe...

Research results from industry-academic collaborative projects in service-oriented computing describe practical, achievable solutions. Service-Oriented Applications and Architectures (SOAs) have captured the interest of industry as a way to support business-to-business interaction, and the SOA market grew by $4.9 billion in 2005. SOAs and in partic...

The research work presented in this paper focuses on the ontologies necessary to describe ambient intelligent home environments.

The emerging pervasive computing services will eventually lead to the establishment of a context marketplace, where context consumers will be able to obtain the information they require by a plethora of context providers. In this marketplace, several aspects need to be addressed, such as: support for flexible federation among context stakeholders e...

Context management systems collect large volumes of spatial and non-spatial information. In particular, when these systems cover large areas like cities, countries or even the entire planet, the design of scalable storage, retrieval and delivery mechanisms is paramount. The Daidalos context management system has been design to meet the requirements...

The challenge of saturating all phases of pervasive service provision with context-aware functionality lies in coping with the complexity of maintaining, retrieving and distributing context information. To efficiently represent and query context information a sophisticated modelling scheme should exist. To distribute and synchronise context knowled...

Web Services (WSs) are a new breed of web application that is gaining momentum. One of the research challenges it brings along is the establishment of an interoperable semantic framework suitable to represent not only the functional, but also the non-functional features of WSs, i.e. their Quality-of-Service (QoS), which in most cases are not includ...

Ubiquitous computing systems that strive to be minimally intrusive and exhibit inherent pro-activeness and dynamic adaptability to the user preferences and environment need to be context-aware. Context Awareness (CA) has the potential to greatly alleviate the human attention and interaction bottlenecks, increase the service flexibility and support...

Context awareness is one of the key aspects of pervasive computing systems. In such systems, a plethora of dynamic context information needs to be constantly retrieved, soundly interpreted, rapidly processed, maintained in various repositories, and securely disseminated. Thus, a flexible, scalable and interoperable context representation scheme nee...

The problem of personalised context aware service selection and composition is an important research area that is addressed within the pervasive service platform being developed by the Daidalos project. This paper briefly outlines the scenarios used and the overall platform architecture that underpin this development. It then describes the approach...

Mobile intelligent agents may assist the rapid and wide market penetration of services and products offered via e-commerce channels, as they improve the performance and sophistication of systems in the e-business domain. In this framework, the design and evaluation of agents handling automated negotiations on behalf of their human or corporate owne...

Artificial intelligence is one of the various disciplines that need to be employed towards the vision of ambient intelligence. Mobile intelligent agents introduce a powerful technology that may assist the market penetration of services and products offered online in intelligent environments. Such agents have the potential to improve the efficiency,...

Context awareness is an essential cornerstone in future pervasive computing systems. It has the potential to greatly reduce the user attention and interaction bottlenecks, to give humans the impression that services fade into the background, and to support intelligent personalization features. Nevertheless, in order to create such an environment, a...

E-commerce is expected to achieve high market penetration if coupled with the appropriate technologies. Mobile Agent Technology (MAT) may enhance the intelligence and improve the efficiency of systems in the e-marketplace. In this highly dynamic and competitive market, the users (Buyers) should be assisted in finding the service provider (Seller) b...

Recently, Web services (WSs) have evolved to a quite popular research field. Nevertheless, there are obstacles that prevent the introduction of WS provision in the wide market. Among these is the inability to represent the non-functional features of WSs, i.e. their quality-of-service. Integrating QoS features in WS profiles is to the advantage of b...