
Gregoris MentzasNational Technical University of Athens | NTUA · Institute of Communications and Computer Systems
Gregoris Mentzas
Professor
Professor of Management Information Systems at the National Technical University of Athens, Greece
About
368
Publications
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Introduction
Gregoris Mentzas is full Professor of Management Information Systems, School of Electrical and Computer Engineering, National Technical University of Athens and Director of the Information Management Unit (IMU). His area of expertise is information technology management and his research concerns knowledge management, semantic web and social computing. His recent research concerns big data management in multi-cloud environments and prescriptive analytics in Industry 4.0 cases especially for predi
Publications
Publications (368)
Background
As digital healthcare services handle increasingly more sensitive health data, robust access control methods are required. Especially in emergency conditions, where the patient’s health situation is in peril, different healthcare providers associated with critical cases may need to be granted permission to acquire access to Electronic He...
Voice assistants, alternatively mentioned as conversational agents or Digital Intelligent Assistants (DIA), represent a new form of interaction between humans and machines, providing fast, intuitive, and potentially hands-free access to systems through voice-based interaction in order to increase the efficiency of certain activities. While the lite...
Cloud computing has been an ordinary and widely used method for processing data that is produced at the edge in a centralized manner. Nowadays, there is consent on the value of altering this traditional approach and trying to offload processing tasks as close to the edge as possible. For this reason, the distributed machine learning method, the so-...
The focus of this research is on advancements in HCAI systems for Industry 5.0. Such systems view AI as a critical component for augmenting human work, extending human capabilities within an industrial environment. Thus, they are key enablers for the “Operator 5.0” concept (Romero and Stahre, 2021; Gladysz et al.,
2023). The aim of the Research Top...
Artificial Intelligence (AI) has pervaded everyday life, reshaping the landscape of business, economy, and society through the alteration of interactions and connections among stakeholders and citizens. Nevertheless, the widespread adoption of AI presents significant risks and hurdles, sparking apprehension regarding the trustworthiness of AI syste...
In the realm of modern urban mobility, automatic incident detection is a critical element of intelligent transportation systems (ITS), since the ability to promptly identify unexpected events allows for quick implementation of preventive measures and efficient response to the situations as they arise. With the growing availability of traffic data,...
Efficient automatic detection of incidents is a well-known problem in the field of transportation. Non-recurring incidents, such as traffic accidents, car breakdowns, and unusual congestion, can have a significant impact on journey times, safety, and the environment, leading to socio-economic consequences. To detect these traffic incidents, we prop...
Cloud computing and relevant emerging technologies have presented ordinary methods for processing edge-produced data in a centralized manner. Presently, there is a tendency to offload processing tasks as close to the edge as possible to reduce the costs and network bandwidth used. In this direction, we find efforts that materialize this paradigm by...
The volume of user generated content (UGC) regarding the quality of provided services has increased exponentially. Meanwhile, research on how to leverage this data using data-driven methods to systematically measure service quality is rather limited. Several works have employed Data Analytics (DA) techniques on UGC and shown that using such data to...
Greater cognitive task load and the growing shortage of highly skilled labor provide ground for assistance systems based on Artificial Intelligence (AI). Conventional graphical interfaces to such systems are often hard to understand, obtrusive, and unintuitive. Natural language interactions provide one approach to address this shortcoming. Recently...
As one of the key components of electric vehicles, the Li-ion Battery Management System (BMS) is crucial to the industrialization and marketization of electric vehicles. Developing advanced and intelligent BMSs has been gathering the research interest. However, the internal states of the battery are affected by several factors, thus making the appl...
Background
As digital healthcare services handle increasingly more sensitive health data, robust access control methods are required. Especially in emergency conditions, where the patient’s health situation is in peril, different healthcare providers associated with critical cases may need to be granted permission to acquire access to Electronic He...
The quality level in manufacturing processes increasingly concerns manufacturing firms, as they respond to pressures such as increasing complexity and variety of products, more complex value chains and shortened time-to-market. Quality management is becoming increasingly challenging as model variety, and highly complex products harbour the danger o...
Effective access control techniques are in demand, as electronically assisted healthcare services require the patient’s sensitive health records. In emergency situations, where the patient’s well-being is jeopardized, different healthcare actors associated with emergency cases should be granted permission to access Electronic Health Records (EHRs)...
Developments in Machine Learning (ML) in the last years resulted in taking as granted their usage and their necessity clear in areas such as manufacturing and quality control. Such areas include case specific requirements and restrictions that require the human expert’s knowledge and effort to apply the ML algorithms efficiently. This paper propose...
Industry 5.0 complements the Industry 4.0 paradigm by highlighting research and innovation as drivers for a transition to a sustainable, human-centric and resilient industry. In this context, new types of interactions between operators and machines are facilitated, that can be realized through artificial intelligence (AI) based and voice-enabled Di...
The shortage of skilled workers is a barrier to applying data analytics. Augmented analytics is an approach to lower it by using machine learning to automate related activities and natural language applications to assist less-skilled employees. Public information about augmented analytics case studies in manufacturing is hardly available. Therefore...
Li-Ion batteries have been widely applied as energy storage systems, such as EVs. Data-driven methods for battery health estimation and prediction are gaining increasing interest in both academia and industry. These methods have been driven by recent advances in ML that exploit the large amounts of available data to improve BMS performance. This di...
Industrial maintenance strategies increasingly rely on artificial intelligence to predict asset conditions and prescribe maintenance actions. The related maintenance software and human maintenance actors can form a hybrid-augmented intelligence system where each side benefits from and enhances the other side's intelligence. This system requires opt...
Fog computing extends multi-cloud computing by enabling services or application functions to be hosted close to their data sources. To take advantage of the capabilities of fog computing, serverless and the function-as-a-service (FaaS) software engineering paradigms allow for the flexible deployment of applications on multi-cloud, fog, and edge res...
In emergency situations, different actors involved in first aid services should be authorized to retrieve information from the patient’s Electronic Health Records (EHRs). The research objectives of this work involve the development and implementation of methods to characterise emergency situations requiring extraordinary access to healthcare data....
Digital Twins are an important concept in the comprehensive digital representation of manufacturing assets, products, and other resources, comprising their design and configuration, state, and behaviour. Digital Twins provide information about and services based on their physical counterpart’s current condition, history and predicted future. They a...
Logistics 4.0 aims at enabling the sustainable satisfaction of customer demands with optimised costs of services with the use of emerging technologies, such as Internet of Things, streaming analytics, and optimised decision making. The availability of massive sensor data streams over time opens new perspectives for extracting meaningful and timely...
Following publication of the original article [1], the authors identified an error. This error has been corrected to express more accurately the work of Arkian et al. [2]. This change should also make the last lines of the fourth paragraph of the Section on Rule-based and controltheoretic adaptation approaches more understandable.1 The erroneous an...
Augmented analytics is an emerging topic which deals with the enhancement of analytics with conversational interfaces as well as the exploitation of the human knowledge representation through intelligent digital assistants allowing users to easily interact with data and insights. The communication with the user by voice poses new challenges to the...
Business analytics use advanced techniques that can analyze and process large and diverse data sets in order to generate valuable insights and lead to better business decisions. Of the three types of business analytics – descriptive, predictive, and prescriptive – only the latter focus on decision making. This paper aims to address two limitations...
While a multitude of cloud vendors exist today offering flexible application hosting services, the application adaptation capabilities provided in terms of autoscaling are rather limited. In most cases, a static adaptation action is used having a fixed scaling response. In the cases that a dynamic adaptation action is provided, this is based on a s...
In this paper we propose a research agenda on the use of information markets as tools to collect, aggregate and analyze citizens’ opinions, expectations and preferences from social media in order to support public policy design and implementation. We argue that markets are institutional settings able to efficiently allocate scarce resources, aggreg...
Transportation and mobility in smart cities are undergoing a grave transformation as new ways of mobility are introduced to facilitate seamless traveling, addressing travelers’ needs in a personalized manner. A novel concept that has been recently introduced is Mobility-as-a-Service (MaaS), where mobility services are bundled in MaaS Plans and offe...
The rise of Artificial Intelligence (AI) enables enterprises to manage large amounts of data in order to derive predictions about future performance and to gain meaningful insights. In this context, descriptive and predictive analytics has gained a significant research attention; however, prescriptive analytics has just started to emerge as the nex...
Due to the emergence of sensing technology, a large number of sensors is used to monitor the health state of manufacturing equipment, thus enhancing the capabilities of predicting abnormal behaviours in (near) real-time. However, existing algorithms in predictive maintenance suffer from several limitations related to their scalability, efficiency,...
Traditional manufacturing businesses lack the standards, skills, processes, and technologies to meet today's challenges of Industry 4.0 driven by an interconnected world. Enterprise Integration and Interoperability can ensure efficient communication among various services driven by big data. However, the data management challenges affect not only t...
Decision-making for manufacturing and maintenance operations is benefiting from the advanced sensor infrastructure of Industry 4.0, enabling the use of algorithms that analyze data, predict emerging situations, and recommend mitigating actions. The current paper reviews the literature on data-driven decision-making in maintenance and outlines direc...
The emergence of fog and edge computing has complemented cloud computing in the design of pervasive, computing-intensive applications. The proximity of fog resources to data sources has contributed to minimizing network operating expenditure and has permitted latency-aware processing. Furthermore, novel approaches such as serverless computing chang...
While a multitude of cloud vendors exist today offering flexible application hosting services, the application adaptation capabilities provided in terms of autoscaling are rather limited. In most cases, a static adaptation action is used having a fixed scaling response. In the cases that a dynamic adaptation action is provided, this is based on a s...
Over the last few years, MaaS has been extensively studied and evolved into offering a multitude of mobility services that continuously increase, from alternative car or bike-sharing modes to autonomous vehicles, that aspire to become a part of this novel ecosystem. MaaS provides end-users with multimodal, integrated, and digital mobility solutions...
The rapid growth of new computing models that exploit the cloud continuum has a big impact on the adoption of microservices, especially in dynamic environments where the amount of workload varies over time or when Internet of Things (IoT) devices dynamically change their geographic location. In order to exploit the true potential of cloud continuum...
Fog computing extends multi-cloud computing by enabling services or application functions to be hosted close to their data sources. To take advantage of the capabilities of fog computing, serverless and the function-as-a-service (FaaS) software engineering paradigms allow for the flexible deployment of applications on multi-cloud, fog, and edge res...
Predictive maintenance systems are socio-technical systems where the interaction between maintenance personnel and the technical system is critical to achieving maintenance goals. Employees who use a predictive maintenance system should explore, modify, and verify their analysis and decision-making methods and rules. Conventional modes of interacti...
The continuing growth of urbanisation poses a real threat to the operation of transportation services in large metropolitan areas around the world. As a response, several initiatives that promote public transport and active travelling have emerged in the last few years. Mobility as a Service (MaaS) is one such initiative with the main goal being th...
Modern organizations need real-time awareness about the current business conditions and the various events that occur from multiple and heterogeneous environments and influence their business operations. Moreover, based on real-time awareness they need a mechanism that allows them to respond quickly to the changing business conditions, in order to...
Adaptivity and personalization technologies appear not to be very much used in eparticipation projects to date. These technologies are commonly used to overcome the overflow of information and service providers adopt them in order to acquire a better knowledge of their end-users and optimize their service offerings. In this paper we investigate the...
The recent advancements in Internet of Things (IoT) technology and the increasing amount of sensing devices that collect and/or generate massive sensor data streams enhances the use of streaming analytics for providing timely and meaningful insights. The current paper proposes a framework for supporting streaming analytics in edge-cloud computation...
The emergence of Artificial Intelligence (AI) reveals new opportunities in Industry 4.0 environments. However, the lack of appropriate data and the requirements for trustworthiness pose significant challenges in the applicability and the effectiveness of AI systems in manufacturing environments. On the other hand, Industry 4.0 enables new types of...
Perceiving information and extracting insights from data is one of the major challenges in smart manufacturing. Real-time data analytics face several challenges in real-life scenarios, while there is a huge treasure of legacy, enterprise and operational data remaining untouched. The current paper exploits the recent advancements of (deep) machine l...
Big data analytics is rapidly emerging as a key Internet of Things (IoT) initiative aiming at providing meaningful insights and supporting optimal decision making under time constraints. In this direction, prescriptive analytics has just started to emerge. Prescriptive analytics moves beyond descriptive and predictive analytics aiming at providing...
Cloud's indisputable value for SMEs and enterprises has led to its wide adoption for benefiting from its cost-effective and on-demand service provisioning. The recent abundance of cloud providers has further increased the advantages out of the cloud adoption, as novel systems emerge for aiding the cross-cloud application deployments that can furthe...
Cloud's indisputable value for SMEs and enterprises has led to its wide adoption for benefiting from its cost-effective and on-demand service provisioning. Furthermore, novel systems emerge for aiding the cross-cloud application deployments that can further reduce costs and increase agility in the everyday business operations. In such dynamic envir...
Security is one of the most crucial elements of cloud solutions and at the same time one of the most important obstacles towards cloud adoption. This paper recommends a set of security-related guidelines for adoption by any advanced information system that aspires to offer DevOps capabilities for deploying and reconfiguring cross-cloud applications...
The need of a trusted environment in which only authorized users are permitted to access a system was of imperative importance since the early days of cloud computing. Even nowadays, a lot of users seem to be reluctant to store their personal data in the cloud and specifically the data related to bank accounts and the health care domain. Our goal i...
The emergence of Industry 4.0 enhances the capabilities of predictive maintenance and paves the way for efficient and optimized maintenance operations. Until now, the technical implications of adopting predictive maintenance solutions in Industry 4.0 environments have been reported in various studies. However, the business perspective is usually no...
Rendering transport behaviours more sustainable is a pressing issue of our times. In this paper, we rely on the deep penetration of mobile phones in order to influence citizens’ behavior through data-driven mobility and persuasive profiles. Our proposed approach aims to nudge users on a personalized level in order to change their mobility behavior...
Business analytics aims to enable organizations to make quicker, better, and more intelligent decisions with the aim to create business value. To date, the major focus in the academic and industrial realms is on descriptive and predictive analytics. Nevertheless, prescriptive analytics, which seeks to find the best course of action for the future,...
Over the last few years, MaaS has been extensively studied and evolved into offering a multitude of mobility services that continuously increase, from alternative car or bike sharing modes to autonomous vehicles, that aspire to become a part of this novel ecosystem. MaaS provides end-users with multimodal, integrated and digital mobility solutions,...
Developments in measurement science have enhanced the quality of measurement procedures, improving their efficiency and increasing their accuracy [1]. The implementation of intelligent and adaptive distributed systems using the Internet of Things (IoT) has recently seen a rapid increase. The synergy of these developments requires an extensive use o...
Mobility as a Service (MaaS) is a new approach for multimodal transportation in smart cities which refers to the seamless integration of various forms of transport services accessible through one single digital platform. In a MaaS environment there can be a multitude of multi modal options to reach a destination which are derived from combinations...
The mobility landscape has changed over the last years with the advent of innovative transportation solutions which are being constantly deployed whereas more are set to emerge in the near future such as autonomous vehicles and flying taxis. In this landscape a new mobility paradigm has come to the forefront during the last years through Mobility a...
It is generally conceded that, due to security and privacy concerns, enterprises and users are reluctant to embrace the cloud computing paradigm and hence benefit from the cost reductions and the increased flexibility or business agility that this paradigm brings about. These concerns stem mainly from the significantly-expanded attack surfaces that...
In this paper, we study the effectiveness of personalized persuasive interventions to change urban travelers’ mobility behavior and nudge them towards more sustainable transport choices. More specifically, we embed a set of persuasive design elements in a route planning application and investigate how they affect users’ travel choices. The design e...
Since industrial maintenance is a key operation, modern manufacturing firms need to minimize maintenance losses and to improve their overall performance. In addition, emerging information technologies such as the Internet of things (IoT), cyber-physical systems, proactive computing and big data analysis in the context of Industry 4.0 are able to en...
The most recent advancements in cloud computing, highlight the need for supporting deployments on virtualised resources bounded to the data-intensive application requirements and not limited by the strict boundaries of each available cloud provider. Towards this direction, one important challenge is the appropriate protection of the software infras...
Situation Awareness in edge computing devices is necessary for detecting issues that may hinder their computation capacity and reliability. The Situation Detection Mechanism presented in this paper uses Complex Event Processing in order to detect situations where the edge infrastructure requires an adaptation. We designed the Situation Detection Me...
Data analytics has gathered a lot of attention during the last years. Although descriptive and predictive analytics have become well-established areas, prescriptive analytics has just started to emerge in an increasing rate. In this paper, we present a literature review on prescriptive analytics, we frame the prescriptive analytics lifecycle and we...
Mobility as a Service (MaaS) is the integration of various forms of transport services into a single “mobility
plan”, that can be considered as a bundled set of distinct services/products, bought and used as a single product.
The concept of MaaS is gaining an increasingly high interest however, there are still many challenges that
have to be dealt...