Gregoris Mentzas | National Technical University of Athens (original) (raw)

Gregoris Mentzas is full Professor of Management Information Systems, School of Electrical and Computer Engineering, National Technical University of Athens (NTUA) and Founder and Director of the Information Management Unit (IMU) at the Institute of Communication and Computer Systems (ICCS).

His main research focus is on AI-enabled decision making: augmenting human intelligence with data-driven approaches and using Artificial Intelligence to elevate human decision-making competence. Specifically his current research concerns the development of prescriptive data analytics for digital assistants in industry 4.0, the integration of human feedback in reinforcement learning for financial applications and the use of big data analytics in applications like personalised health, smart mobility, technology acceptance and water management.

Prof. Mentzas has published 4 books and more than 350 papers in international peer-reviewed journals and conferences, has 5 best papers awards. He sits on the editorial board of five international journals and has served as (co-)Chair or Program Committee Member in more than 55 international conferences. He has led or contributed in more than 50 European research and development projects conducted in collaboration with leading technology firms like SAP, IBM, HP, Siemens, Software AG and ATOS.

Prof. Mentzas is in the top 2% of highly cited scientists globally in a publicly available list of more than 7 million scientists in all areas of research and technology (22 scientific fields and 176 sub-fields). The list, which was published in 2021 in the journal PLOS Biology, retrieved data from the SCOPUS database and used a range of parameters for each scientist’s research contribution and influence, analyzed data of 7 million scientists with at least five published articles on the SCOPUS database. As a result, a list of the top 2% scientists from all scientific subjects was compiled. The classification takes into account standardized information on citations like the h-index, co-authorship adjusted hm-index,

Research carried out by his group has led to the establishment of three internet technology companies. His experience includes twelve years of management consulting in corporate strategy and information systems strategy. He holds a Diploma Degree in Engineering (1984) and a Ph.D. in Operations Research and Information Systems (1988) both from NTUA.

During 2006-2009 he served as member of the Board of Directors of the Institute of Communication and Computer Systems, while in the 2010-2019 period he was Director of the division of “Industrial Electric Devices and Decision Systems” at the School of Electrical and Computer Engineering, NTUA.

Parallel to this academic work he is an enthusiast black and white photographer, see his work at http://www.gregorismentzas.com.

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Papers by Gregoris Mentzas

IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume, 2019

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Advanced Information and Knowledge Processing, 2003

The management of organizational knowledge has drawn the attention of academics, consultants and ... more The management of organizational knowledge has drawn the attention of academics, consultants and practitioners as a key lever for improving performance, boosting productivity and creativity, and facilitating innovation in organizational settings. The methods, tools and the actual knowledge management (KM) implementations in various companies have mainly followed one of two perspectives, which in this book are called the process-centric and the product-centric approaches. The former is primarily people-based and treats KM ...

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Scalable Computing Practice and Experience, Jan 3, 2001

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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

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The most recent advancements in cloud computing, highlight the need for supporting deployments on... more 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 infrastructure used for automatically performing application components deployment over multi-clouds. Specifically, we discuss the requirements and introduce a novel attribute-based access control mechanism, able to cope with potential cybersecurity threats that may compromise the deployment of multi-cloud applications. We attempt to tackle the authorization issues from two different perspectives; namely, coping with the “access control” to various platform components and the “pre-authorization” of application deployment and data placement actions using multiple cloud providers.

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2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), 2018

Existing digital tools used by journalists such as content management systems and search engines ... more Existing digital tools used by journalists such as content management systems and search engines focus on helping journalists find relevant information and organize their creative work; they do not provide support for discovering creative angles to investigate. To meet this need in journalism, we have researched new creative search algorithms that manipulate the journalist's primary medium - written information - and developed an innovative creativity and productivity support tool deliberately for use by journalists. In this paper, we analyse the creative tasks journalists perform when developing new stories, we provide an overview of requirements, which have been addressed by the INJECT digital creativity support tool for journalists. Further, we explain the intended use of the system using a walkthrough scenario and present our early experiences from deploying the tool in journalist's working environments.

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Electronics, 2021

The emergence of fog and edge computing has complemented cloud computing in the design of pervasi... more 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 change the structure of applications and challenge the monopoly of traditional Virtual Machine (VM)-based applications. However, the efforts directed to the modeling of cloud applications have not yet evolved to exploit these breakthroughs and handle the whole application lifecycle efficiently. In this work, we present a set of Topology and Orchestration Specification for Cloud Applications (TOSCA) extensions to model applications relying on any combination of the aforementioned technologies. Our approach features a design-time “type-level” flavor and a run time “instance-level” flavor. The introduction of semantic enhancements and the use of t...

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In this paper we provide a preliminary analysis of the effects of priming on user preferences and... more In this paper we provide a preliminary analysis of the effects of priming on user preferences and we describe two experiments that show such effects in test environments. Our first results demonstrate that small stimuli which primes the process of item rating leads to varying average ratings.

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2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA), 2017

Cloud computing has been growing at an increasing rate over the last few years. Commercial and sc... more Cloud computing has been growing at an increasing rate over the last few years. Commercial and scientific applications have come to rely on it as a development tool due to its exceptional characteristics in processing power and storage. The trend has been augmented with the emergence of the Internet of Things and smart processing devices at the edge. Contrary to the line of thought commonly adopted, we present in this work an alternative platform that considers edge devices as possible processing nodes, and provide a two-level task scheduling deployment that can handle not only binary module s, but also code-level fragmentations. We also go through a simple implementation of the platform, using production-ready solutions, while validating it on public and private clouds, and physically-separated edge devices.

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Responsible AI and Analytics for an Ethical and Inclusive Digitized Society, 2021

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Maintenance is a key operation function within manufacturing enterprises related to all of their ... more Maintenance is a key operation function within manufacturing enterprises related to all of their processes and focuses not only on avoiding the equipment breakdown but also on improving business performance. In the last years, due to the evolution of technology, products and machines have become more and more complex. Consequently, the costs of time-based (planned) maintenance have increased and predictive maintenance has evolved as a novel lever for maintenance management. To this end, the emergence of the Internet of Things (IoT) can enhance the condition monitoring capabilities by paving the way for extensive use of physical and virtual sensors generating a multitude of data. In this way, predictive maintenance can significantly evolve in the frame of Industry 4.0. Industry 4.0 indicates the flexibility that exists in value-creating networks which enables machines and plants to adapt their behaviour to changing orders and operating conditions through self-optimization and reconfi...

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As personal transportation is one of the greatest contributors of CO2 emissions, means able to as... more As personal transportation is one of the greatest contributors of CO2 emissions, means able to assist travelers in reducing their ecological impact are urgently needed. In this work we focus on travel recommenders that encourage green transportation habits among travelers who have a preexisting interest in taking action to lessen their impact on the environment. We aim to provide urban travelers with a personalized travel recommender that will nudge them to plan routes while considering the environmentally friendliest travel modes. We present a novel, ecologically-aware approach for travel recommender systems and propose a system architecture that incorporates dimensions of recommendation information elements and prole matching methods.

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The last few years, the generation of vast amounts of heterogeneous data with different velocity ... more The last few years, the generation of vast amounts of heterogeneous data with different velocity and veracity and the requirement to process them, has significantly challenged the computational capacity and efficiency of the modern infrastructural resources. The propagation of Big Data among different processing and storage architectures, has amplified the need for adequate and cost-efficient infrastructures to host them. An overabundance of cloud service offerings is currently available and is being rapidly adopted by small and medium enterprises based on its many benefits to traditional computing models. However, at the same time the Big Data computing requirements pose new research challenges that question the adoption of single cloud provider resources. Nowadays, we discuss the emerging data-intensive applications that necessitate the wide adoption of multicloud deployment models, in order to use all the advantages of cloud computing. A key tool for managing such multicloud appl...

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Sustainability, 2018

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Industrial Management & Data Systems, 2015

Purpose – The purpose of this paper is to perform an extensive literature review in the area of d... more Purpose – The purpose of this paper is to perform an extensive literature review in the area of decision making for condition-based maintenance (CBM) and identify possibilities for proactive online recommendations by considering real-time sensor data. Based on these, the paper aims at proposing a framework for proactive decision making in the context of CBM. Design/methodology/approach – Starting with the manufacturing challenges and the main principles of maintenance, the paper reviews the main frameworks and concepts regarding CBM that have been proposed in the literature. Moreover, the terms of e-maintenance, proactivity and decision making are analysed and their potential relevance to CBM is identified. Then, an extensive literature review of methods and techniques for the various steps of CBM is provided, especially for prognosis and decision support. Based on these, limitations and gaps are identified and a framework for proactive decision making in the context of CBM is propo...

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Bookmarks Related papers MentionsView impact

Establishing the Foundation of Collaborative Networks, 2007

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ArXiv, 2017

This workshop invites researchers and practitioners to participate in exploring behavioral change... more This workshop invites researchers and practitioners to participate in exploring behavioral change support intelligent transportation applications. We welcome submissions that explore intelligent transportation systems (ITS), which interact with travelers in order to persuade them or nudge them towards sustainable transportation behaviors and decisions. Emerging opportunities including the use of data and information generated by ITS and users' mobile devices in order to render personalized, contextualized and timely transport behavioral change interventions are in our focus. We invite submissions and ideas from domains of ITS including, but not limited to, multi-modal journey planners, advanced traveler information systems and in-vehicle systems. The expected outcome will be a deeper understanding of the challenges and future research directions with respect to behavioral change support through ITS.

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Sustainability

Transportation and mobility in smart cities are undergoing a grave transformation as new ways of ... more 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 offered to end-users through a single digital platform. The present paper introduces a recommender system for MaaS Plans selection that supports travelers to select bundles of mobility services that fit their everyday transportation needs. The recommender filters out unsuitable plans and then ranks the remaining ones on the basis of their similarity to the users’ characteristics, habits and preferences. The recommendation approach is based on Constraint Satisfaction Problem (CSP) formalisms combined with cosine similarity techniques. The proposed method was evaluated in experimental settings and was further embedded in real-life pilot MaaS app...

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Information

The rapid growth of new computing models that exploit the cloud continuum has a big impact on the... more 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 computing applications, it is essential to use a comprehensive set of various intricate technologies together. This complex blend of technologies currently raises data interoperability problems in such modern computing frameworks. Therefore, a semantic model is required to unambiguously specify notions of various concepts employed in cloud applications. The goal of the present paper is therefore twofold: (i) offering a new model, which allows an easier understanding of microservices within adaptive fog computing frameworks, and (ii) presenting the latest open standards and tools which are now widely used to implement each class defined in...

Bookmarks Related papers MentionsView impact

IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume, 2019

Bookmarks Related papers MentionsView impact

Advanced Information and Knowledge Processing, 2003

The management of organizational knowledge has drawn the attention of academics, consultants and ... more The management of organizational knowledge has drawn the attention of academics, consultants and practitioners as a key lever for improving performance, boosting productivity and creativity, and facilitating innovation in organizational settings. The methods, tools and the actual knowledge management (KM) implementations in various companies have mainly followed one of two perspectives, which in this book are called the process-centric and the product-centric approaches. The former is primarily people-based and treats KM ...

Bookmarks Related papers MentionsView impact

Scalable Computing Practice and Experience, Jan 3, 2001

Bookmarks Related papers MentionsView impact

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

Bookmarks Related papers MentionsView impact

The most recent advancements in cloud computing, highlight the need for supporting deployments on... more 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 infrastructure used for automatically performing application components deployment over multi-clouds. Specifically, we discuss the requirements and introduce a novel attribute-based access control mechanism, able to cope with potential cybersecurity threats that may compromise the deployment of multi-cloud applications. We attempt to tackle the authorization issues from two different perspectives; namely, coping with the “access control” to various platform components and the “pre-authorization” of application deployment and data placement actions using multiple cloud providers.

Bookmarks Related papers MentionsView impact

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), 2018

Existing digital tools used by journalists such as content management systems and search engines ... more Existing digital tools used by journalists such as content management systems and search engines focus on helping journalists find relevant information and organize their creative work; they do not provide support for discovering creative angles to investigate. To meet this need in journalism, we have researched new creative search algorithms that manipulate the journalist's primary medium - written information - and developed an innovative creativity and productivity support tool deliberately for use by journalists. In this paper, we analyse the creative tasks journalists perform when developing new stories, we provide an overview of requirements, which have been addressed by the INJECT digital creativity support tool for journalists. Further, we explain the intended use of the system using a walkthrough scenario and present our early experiences from deploying the tool in journalist's working environments.

Bookmarks Related papers MentionsView impact

Electronics, 2021

The emergence of fog and edge computing has complemented cloud computing in the design of pervasi... more 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 change the structure of applications and challenge the monopoly of traditional Virtual Machine (VM)-based applications. However, the efforts directed to the modeling of cloud applications have not yet evolved to exploit these breakthroughs and handle the whole application lifecycle efficiently. In this work, we present a set of Topology and Orchestration Specification for Cloud Applications (TOSCA) extensions to model applications relying on any combination of the aforementioned technologies. Our approach features a design-time “type-level” flavor and a run time “instance-level” flavor. The introduction of semantic enhancements and the use of t...

Bookmarks Related papers MentionsView impact

In this paper we provide a preliminary analysis of the effects of priming on user preferences and... more In this paper we provide a preliminary analysis of the effects of priming on user preferences and we describe two experiments that show such effects in test environments. Our first results demonstrate that small stimuli which primes the process of item rating leads to varying average ratings.

Bookmarks Related papers MentionsView impact

2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA), 2017

Cloud computing has been growing at an increasing rate over the last few years. Commercial and sc... more Cloud computing has been growing at an increasing rate over the last few years. Commercial and scientific applications have come to rely on it as a development tool due to its exceptional characteristics in processing power and storage. The trend has been augmented with the emergence of the Internet of Things and smart processing devices at the edge. Contrary to the line of thought commonly adopted, we present in this work an alternative platform that considers edge devices as possible processing nodes, and provide a two-level task scheduling deployment that can handle not only binary module s, but also code-level fragmentations. We also go through a simple implementation of the platform, using production-ready solutions, while validating it on public and private clouds, and physically-separated edge devices.

Bookmarks Related papers MentionsView impact

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society, 2021

Bookmarks Related papers MentionsView impact

Maintenance is a key operation function within manufacturing enterprises related to all of their ... more Maintenance is a key operation function within manufacturing enterprises related to all of their processes and focuses not only on avoiding the equipment breakdown but also on improving business performance. In the last years, due to the evolution of technology, products and machines have become more and more complex. Consequently, the costs of time-based (planned) maintenance have increased and predictive maintenance has evolved as a novel lever for maintenance management. To this end, the emergence of the Internet of Things (IoT) can enhance the condition monitoring capabilities by paving the way for extensive use of physical and virtual sensors generating a multitude of data. In this way, predictive maintenance can significantly evolve in the frame of Industry 4.0. Industry 4.0 indicates the flexibility that exists in value-creating networks which enables machines and plants to adapt their behaviour to changing orders and operating conditions through self-optimization and reconfi...

Bookmarks Related papers MentionsView impact

As personal transportation is one of the greatest contributors of CO2 emissions, means able to as... more As personal transportation is one of the greatest contributors of CO2 emissions, means able to assist travelers in reducing their ecological impact are urgently needed. In this work we focus on travel recommenders that encourage green transportation habits among travelers who have a preexisting interest in taking action to lessen their impact on the environment. We aim to provide urban travelers with a personalized travel recommender that will nudge them to plan routes while considering the environmentally friendliest travel modes. We present a novel, ecologically-aware approach for travel recommender systems and propose a system architecture that incorporates dimensions of recommendation information elements and prole matching methods.

Bookmarks Related papers MentionsView impact

The last few years, the generation of vast amounts of heterogeneous data with different velocity ... more The last few years, the generation of vast amounts of heterogeneous data with different velocity and veracity and the requirement to process them, has significantly challenged the computational capacity and efficiency of the modern infrastructural resources. The propagation of Big Data among different processing and storage architectures, has amplified the need for adequate and cost-efficient infrastructures to host them. An overabundance of cloud service offerings is currently available and is being rapidly adopted by small and medium enterprises based on its many benefits to traditional computing models. However, at the same time the Big Data computing requirements pose new research challenges that question the adoption of single cloud provider resources. Nowadays, we discuss the emerging data-intensive applications that necessitate the wide adoption of multicloud deployment models, in order to use all the advantages of cloud computing. A key tool for managing such multicloud appl...

Bookmarks Related papers MentionsView impact

Sustainability, 2018

Bookmarks Related papers MentionsView impact

Industrial Management & Data Systems, 2015

Purpose – The purpose of this paper is to perform an extensive literature review in the area of d... more Purpose – The purpose of this paper is to perform an extensive literature review in the area of decision making for condition-based maintenance (CBM) and identify possibilities for proactive online recommendations by considering real-time sensor data. Based on these, the paper aims at proposing a framework for proactive decision making in the context of CBM. Design/methodology/approach – Starting with the manufacturing challenges and the main principles of maintenance, the paper reviews the main frameworks and concepts regarding CBM that have been proposed in the literature. Moreover, the terms of e-maintenance, proactivity and decision making are analysed and their potential relevance to CBM is identified. Then, an extensive literature review of methods and techniques for the various steps of CBM is provided, especially for prognosis and decision support. Based on these, limitations and gaps are identified and a framework for proactive decision making in the context of CBM is propo...

Bookmarks Related papers MentionsView impact

Bookmarks Related papers MentionsView impact

Establishing the Foundation of Collaborative Networks, 2007

Bookmarks Related papers MentionsView impact

ArXiv, 2017

This workshop invites researchers and practitioners to participate in exploring behavioral change... more This workshop invites researchers and practitioners to participate in exploring behavioral change support intelligent transportation applications. We welcome submissions that explore intelligent transportation systems (ITS), which interact with travelers in order to persuade them or nudge them towards sustainable transportation behaviors and decisions. Emerging opportunities including the use of data and information generated by ITS and users' mobile devices in order to render personalized, contextualized and timely transport behavioral change interventions are in our focus. We invite submissions and ideas from domains of ITS including, but not limited to, multi-modal journey planners, advanced traveler information systems and in-vehicle systems. The expected outcome will be a deeper understanding of the challenges and future research directions with respect to behavioral change support through ITS.

Bookmarks Related papers MentionsView impact

Sustainability

Transportation and mobility in smart cities are undergoing a grave transformation as new ways of ... more 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 offered to end-users through a single digital platform. The present paper introduces a recommender system for MaaS Plans selection that supports travelers to select bundles of mobility services that fit their everyday transportation needs. The recommender filters out unsuitable plans and then ranks the remaining ones on the basis of their similarity to the users’ characteristics, habits and preferences. The recommendation approach is based on Constraint Satisfaction Problem (CSP) formalisms combined with cosine similarity techniques. The proposed method was evaluated in experimental settings and was further embedded in real-life pilot MaaS app...

Bookmarks Related papers MentionsView impact

Information

The rapid growth of new computing models that exploit the cloud continuum has a big impact on the... more 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 computing applications, it is essential to use a comprehensive set of various intricate technologies together. This complex blend of technologies currently raises data interoperability problems in such modern computing frameworks. Therefore, a semantic model is required to unambiguously specify notions of various concepts employed in cloud applications. The goal of the present paper is therefore twofold: (i) offering a new model, which allows an easier understanding of microservices within adaptive fog computing frameworks, and (ii) presenting the latest open standards and tools which are now widely used to implement each class defined in...

Bookmarks Related papers MentionsView impact