Konstantinos Demertzis

PhD

Postdoctoral Researcher in Cyber Security of Critical Infrastructures at School of Civil Engineering, Democritus University of Thrace

Education

Experience

  • Postdoctoral Research Fellow in CyberSecurity and Critical Infrastructure Protection2017 - Present

    Democritus University of Thrace, School of Civil Engineering, Faculty of Mathematics, Programming and general courses, Xanthi (Greece)

    Postdoctoral Research Fellow, Democritus University of Thrace, School of Engineering, Department of Civil Engineering

  • Chief Information Security Officer at the Research & Informatics Directorate2018 - Present

    Greek Army, Didymoteicho (Greece)

    Chief Information Security Officer at the Research & Informatics Directorate, Greek Army

  • Adjunct Lecturer2019 - 2020 (2 Semesters)

    International Hellenic University, Kavala (Greece)

    Adjunct Lecturer Physics Department, International Hellenic University

  • Adjunct Lecturer2019 (1 Semester)

    School of Civil Engineering, Democritus University of Thrace, Xanthi (Greece)

    Adjunct Lecturer School of Civil Engineering, Democritus University of Thrace

  • Adjunct Lecturer2019 (1 Semester)

    Democritus University of Thrace, Orestiada (Greece)

    Adjunct Lecturer Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace

  • Adjunct Lecturer2017 - 2018 (2 Semesters)

    Computer and Informatics Engineering Department, Eastern Macedonia & Thrace Institute of Technology, Kavala (Greece)

    Adjunct Lecturer Computer and Informatics Engineering Department, Eastern Macedonia & Thrace Institute of Technology

  • Adjunct Lecturer2017 (1 Semester)

    Department of Business Administration, Eastern Macedonia & Thrace Institute of Technology, Kavala (Greece)

    Adjunct Lecturer Department of Business Administration, Eastern Macedonia & Thrace Institute of Technology

  • Laboratory Research Assistant2015 - 2016

    Democritus University of Thrace, Orestiada (Greece)

    Laboratory Research Assistant at Lab of Forest-Environmental Informatics and Computational Intelligence at Department of Forestry and Management of the Environment and Natural Resources of Democritus University of Thrace

  • Research Associate2013 - Present

    National and Kapodistrian University of Athens, Athens (Greece)

    Research Associate on Vocational Training Center of the National and Kapodistrian University of Athens.
    Training Programms:
    1) Smart Energy Grids
    2) CMS Drupal

  • IT Manager & Network Administrator at Greek Ministry of Defence2005 - 2016

    Greek Ministry of Defence, Hellenic Army, Research & Informatics Directorate

    Information Technology/System Security Manager,
    Senior Systems Analyst/System Architect,
    Senior Network Administrator,
    Senior Programmer,
    Database Administrator.

  • Human Resources Manager1996 - 2005

    Hellenic Army, General Staff

    Human Resources Manager & Secretarial

Training

  • Google Certified Partner2017

    Google Mobile Sites Certification
    Google Digital Marketing Certification
    Google Analytics Individual Qualification
    Google Adwords Certification

    Google Digital Academy, Mountain View, CA

  • Certified Cloud Technology Professional2017

    Certified Cloud Professional for Business
    Certified Cloud Professional for Public Administrations
    Certified Cloud Professional for Education

    UniNettuno University of Rome - National University of Distance Education of Madrid - Institute for Work and Technology at the University of Applied Sciences Gelsenkirchen, EU, Erasmus+

  • Certificate in Advanced Network Security and Ethical Hacking2016

    School of Research and Informatics Officers of the Hellenic Army

    Hellenic National Defence General Staff, Athens (Greece)

  • Certified Cisco Information Technology Essential Expert2010

    ACTA AUTH & CISCO

    ACTA Aristotle University of Thessaloniki & CISCO Networking Academies, Thessaloniki (Greece)

  • Microsoft Certified Systems Engineer2009

    School of Research and Informatics Officers of the Hellenic Army

    Hellenic National Defence General Staff & Microsoft IT Academy, Athens (Greece)

  • Certificate from School of Research and Informatics Officers of the Hellenic Army2003

    School of Research and Informatics Officers of the Hellenic Army

    Hellenic National Defence General Staff & National and Kapodistrian University of Athens, Department of Informatics and Telecommunications, Athens (Greece)

Honors & Awards

  • Windows Azure for Research Award Winner2015 - 2016

    Microsoft

    Windows Azure for Research aims to help the research community advance scientific discovery with cloud computing. Microsoft will be accepting proposals for sizable grants of Windows Azure resources and handing out up to 100 awards each year. The awards will be for individual projects or for community efforts to host scientific data and services

  • Postgraduate Academic Excellence Scholarship2015 - 2016

    Democritus University of Thrace

    Postgraduate Academic Excellence Scholarship at the Department of Forestry & Management of the Environment & Natural Resources (Lab of Forest-Environmental Informatics and Computational Intelligence) at the Democritus University of Thrace

  • Postgraduate Academic Excellence Scholarship2017 - 2018

    University of Thessaly

    Postgraduate Academic Excellence Scholarship at the Department of Computer Science and Biomedical Informatics, School of Science, University of Thessaly

  • Google Scholarship 2017 - 2018

    Google

    Google Developer Challenge Scholarship to the Android Developer and the Mobile Web Specialist track

  • Cisco CCNA Cyber Ops Scholarship2017 - 2018

    Cisco

    Cisco CCNA Cyber Ops Scholarship by the Global Cybersecurity Scholarship program for 2017-2018

  • Best Research Paper Award 2017

    ISCRAM-med 2017

    Certificate for the highest average review score paper to the Fourth International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries (ISCRAM-med 2017)

  • IBM Cloud Award 2017

    IBM 2017

    Cloud Developer Award by IBM Skills Academy for 2017-2018

Research Projects

  • Information Technology Advisor 2015

    Operational Programme 'Digital Convergence'

    Programme under the Convergence objective co-funded by the European Regional Development Fund (ERDF) - Technical Chamber of Greece (TEE-TCG) & Greek Research and Technology Network (GRNET S.A.), ID:94

  • Cyber Operations Expert Analyst 2016

    Electoral Observatory Internet Research Programme "http://electionsnet.org/"

    Programme under the Centre of International & European Political Economy & Governance of the University of Peloponnese and the European Network of Political Foundations

Computer skills

  • Win Servers

  • Linux Servers

  • LAMP Servers

  • HyperV - VMware

DevOps

  • G/Amazon Cloud

  • Docker

  • Kubernetes

  • Gitflow

Programming Skills

  • Python

  • C, C++, C#,

  • HTML/5, PhP, CSS3

  • MIT App Inventor

  • jQuery, Ajax, Java

  • Visual Basic

  • Query Languages

  • CMS B/F-end Editor

  • WISE NATO Portal

MLOps

  • TensorFlow

  • PyTorch

  • Keras

  • Torch

  • Spark ML

  • Apache MXNet

  • Scikit-Learn

  • PyCaret

  • Matlab

  • Hugging Face

  • Weka

  • GMDH

Big Data

  • Azure

  • Hadoop

  • MapReduce

  • Mahout

  • Hbase

  • Pig

  • Sawzall

  • Bigtable

Job-Related Skills

  • Data Center IM

  • Net Planning

  • IT Sys Analyst

  • IT Sys Architect

  • Sys Engineering

  • IT Sys Security

  • Disaster Recovery

Special Skills

  • VPNs

  • Firewalls - IDS/IPS

  • NAT - PAT

  • TCP/IP - VoIP

  • WLAN - WiMax

  • VDSL - VSAT

  • 3G, 4G & 5G

Digital Competence

  • Info Processing

  • Communication

  • Content Creation

  • Safety

  • Security

  • Problem Solving

Languages

  • Greek

  • English

  • French

  • Turkish

PostDoc

Development of Intelligent Models and Respective Big Data Analytics Platform for Cyberdefense of Urban Critical Infrastructure

Supervisor: Prof Lazaros Iliadis

  • PostDoc Outlines

    Protecting critical infrastructure is of utmost importance for national security since any kind of future miss (e.g. terrorist attack or system failure) can create complex and dynamic interdependencies, with potentially incalculable consequences. The sectors with the most significant Critical Infrastructures are Energy production and distribution, Information Technology, Transportation, National Defense, Government’s Infrastructure, and Industry. Today, in the 21st-century era, automation and remote control are the most important methods by which critical infrastructure improves the productivity and quality of services provided. From this point of view, the efficient management of the IT systems of critical infrastructures requires sophisticated Network Control Devices that operate with precision, reliability, and security. These systems comprise interconnected active devices, embedded in real-time networks that allow remote monitoring and process control, even in cases where devices are distributed in remote locations. The amount of stored data, which optimizes the effectiveness of decisions, implies the need to manage and analyze big data volumes, which come from heterogeneous and often non-interoperable sources. The management of these big volumes is further complicated by the need for high-security policies and privacy under the recent General Data Protection Regulation (GDPR). The data analysis systems receive a continuous, unlimited inflow of observations where, in the typical case, the newer data is the most important, as the concept of aging is based on their timing. These data streams are characterized by high volatility, as their characteristics can change drastically and in an unpredictable way over time, altering their typical, normal behavior. Given the increasing complexity of threats, the changing environment, and the weakness of traditional systems, which in most cases fail to adapt to modern challenges, the need for alternative more active, and more effective security methods keeps increasing. Such approaches are the adoption of intelligent solutions to protect sensitive data and infrastructures. Intelligent systems are capable, of displaying logical, empirical, and non-human decision-making since they are trained appropriately by historical data representative of the problem they are trying to solve. In most cases, it is either not possible or it is inappropriate to centrally store all historical data. Thus, we should perform real-time knowledge mining and we should obtain a subset of a data flow containing a small but recent percentage of observations. This fact raises serious objections to the accuracy and reliability of the employed intelligent system algorithms, which have been tame over time and they become incapable of detecting serious threats. Based on the gap in the ways of handling and securing critical infrastructures, the postdoc proposes a Blockchained Αdaptive Federated Auto MetaLearning Big Data Architecture for CyberSecurity and Privacy. The architecture combines, under an optimal and efficient framework, the most modern and efficient technologies in order to protect the critical infrastructures, while ensuring privacy and secrecy, read more, pdf

PhD Thesis

Development of Intelligent Models and respective Information Systems, inspired by Biological prototypes, aiming in the assessment of Environmental Problems and Risks

Supervisor: Prof Lazaros Iliadis

  • Thesis Summary

    The disturbances in the Earth's biosphere and the natural environment originating from irrational human activities have created serious environmental problems which are equivalent to an extensive and prolonged ecological crisis. The disturbances in the Earth's biosphere and the natural environment originating from irrational human activities have created serious environmental problems, which is equivalent to an extensive and prolonged ecological crisis. Climate change is revealed clearly, by the increase in global average air and ocean temperatures, through the widespread melting of snow and ice and by the rising of the global average sea level. It is an additional pressure on ecosystems, resulting in very dangerous situations with negative effects on human health and it damages agriculture, forestry, energy, tourism and infrastructure in general. One of the most serious potential impacts of climate change lies in the complex interaction of species in relation to climatic survival factors, and particularly in the spread of invasive species, which constitute a serious and rapidly worsening threat to natural biodiversity of the native environment and generally a threat to flora, fauna, and even to the human population. The critical stage for the adoption and implementation of a specific policy to address the elimination, control or containment of the species, is the process of their recognition, given that these species are usually unknown to the new installation environment. The process of recognition and safe identification is an extremely difficult, complicated and dangerous process as neither the large differences in morphology, nor the significant similarities, reflect the affinity or not between biological organisms. The necessity of a comprehensive and absolutely valid identification of these species is more than evident in the cases of treatment programs design the identification process depends on a multitude of information required and the constant monitoring of the status quo. So, after recognizing climate change as the root cause of the very major environmental problems, the objective of this PhD thesis is the employment of intelligent analysis of phenomena that enhance climate change (such as air pollution). It is especially crucial to apply and combine methods (in a hybrid mode) that can predict or model the potential effects of climate change such as increasing the frequency of extreme weather phenomena, extensive forest fires and the spread of invasive species. Specifically, this thesis proposes the development of a Hybrid Combined Computational Intelligence Information System, which is based exclusively on innovative methods of Biologically Inspired Computational Intelligence. This information system considers the quality of the atmosphere and can predict the extent of air pollution, which is a catalyst and a major factor in maximizing the effects of climate change. It also can make timely and accurate prediction for the occurrence of extreme weather events, which are associated with anthropogenic climate change and in particular with the continuous increase in average temperatures and with the rainfall reduction due to global warming. Additionally, the system can perform an analysis of the factors that significantly affect the forest fires, including the increasing frequency and intensity favored by drought, prolonged periods of high temperatures and extreme weather events, namely the impacts of climate change. Also, this system can conduct a study of the spatiotemporal conditions of occurrence of harmful invasive species, in relation to climatic factors of survival and to the overall impact of climate change on habitat structure and ecological function. It can therefore analyze the changes observed in the populations of the species, changes in the way of their spread and to identify a series of phenological and ecological changes identified in the wider natural living and breeding environment. Finally, another very important and innovative process of automated identification of invasive species, either with phenotypic processes or with analysis of the species DNA, is effectively achieved by the proposed scheme. Specifically, the phenotypic identification is achieved through computer vision and through Machine Hearing. The recognition by DNA analysis is accomplished by the identification of the genetic barcode material (DNA barcoding) of every species and through an innovative identification system which is based on environmental DNA analysis (Metagenomics). To demonstrate the validity and reliability of the methods used, specific case studies were performed, in particularly difficult scenarios of decision making and forecasting. The whole process yielded extremely high accuracy results, which reinforces the view for adoption and widespread use of Biologically Inspired intelligent digital information systems, read more, pdf

In Progress

  • A novel framework based on semi-supervised automatic differentiation variational inference deep autoencoder for the prediction of R/C buildings' seismic damage (in progress)Konstantinos Demertzis, Konstantinos Kostinakis, Konstantinos Morfidis, Lazaros Iliadis

    K. Demertzis, K. Kostinakis, K. Morfidis and L. Iliadis, link, pdf

Journals

  • An interpretable machine learning method for the prediction of R/C buildings' seismic response (Impact Factor 7.144) Konstantinos Demertzis, Konstantinos Kostinakis, Konstantinos Morfidis, Lazaros Iliadis

    K. Demertzis, K. Kostinakis, K. Morfidis, and L. Iliadis, “An interpretable machine learning method for the prediction of R/C buildings’ seismic response,” J. Build. Eng., vol. 63, p. 105493, Jan. 2023, doi: 10.1016/j.jobe.2022.105493, link, pdf

  • An Explainable Semi-Personalized Federated Learning Model (Impact Factor 6.137)Konstantinos Demertzis, Lazaros Iliadis, Panagiotis Kikiras, Elias Pimenidis

    K. Demertzis, L. Iliadis, P. Kikiras, and E. Pimenidis, “An explainable semi-personalized federated learning model,” Integr. Comput.-Aided Eng., vol. Preprint, no. Preprint, pp. 1–16, Jan. 2022, doi: 10.3233/ICA-220683, link, pdf

  • Geo-AI to Aid Disaster Response by Memory-augmented Deep Reservoir Computing (Impact Factor 6.137)Konstantinos Demertzis, Lazaros Iliadis, Ilias Pimenidis

    Demertzis, Konstantinos, Iliadis, Lazaros, and Pimenidis, Elias. ‘Geo-AI to Aid Disaster Response by Memory-augmented Deep Reservoir Computing’. 1 Jan. 2021 : 1 – 16, Integrated Computer-Aided Engineering, IOS Press, link, pdf

  • Fast and Low Cost Prediction of Extreme Air Pollution Values with Hybrid Unsupervised Learning (Impact Factor 6.137)Ilias Bougoudis, Konstantinos Demertzis, Lazaros Iliadis

    Bougoudis, Ilias, Demertzis, Konstantinos, and Iliadis, Lazaros. 'Fast and Low Cost Prediction of Extreme Air Pollution Values with Hybrid Unsupervised Learning'. 1 Jan. 2016 : 115 – 127, link, pdf

  • Variational restricted Boltzmann machines to automated anomaly detection (Impact Factor 5.606)Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis, Panayiotis Kikiras

    Demertzis, K., Iliadis, L., Pimenidis, E. et al. Variational restricted Boltzmann machines to automated anomaly detection. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-07060-4, link, pdf

  • Anomaly Detection via Blockchained Deep Learning Smart Contracts in Industry 4.0 (Impact Factor 5.606)Konstantinos Demertzis, Lazaros Iliadis, Nikolaos Tziritas, Panayiotis Kikiras

    Demertzis, K., Iliadis, L., Tziritas, N. et al. Anomaly detection via blockchained deep learning smart contracts in industry 4.0. Neural Comput & Applic (2020). https://doi.org/10.1007/s00521-020-05189-8, link, pdf

  • Identify Data Streams Anomalies by Evolving Spiking Restricted Boltzmann Machines (Impact Factor 5.606)Lining Xing, Konstantinos Demertzis, Jinghui Yang

    Xing, L., Demertzis, K. & Yang, J. Neural Comput & Applic (2019). https://doi.org/10.1007/s00521-019-04288-5, link, pdf

  • Gryphon: A Semi-supervised Anomaly Detection System based on One-Class Evolving Spiking Neural Network (Impact Factor 5.606))Konstantinos Demertzis, Lazaros Iliadis, Ilias Bougoudis

    Demertzis, K., Iliadis, L. & Bougoudis, I., Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network, Neural Comput & Applic (2019). https://doi.org/10.1007/s00521-019-04363-x, link, pdf

  • Detecting Invasive Species with a Bio-Inspired Semi Supervised Neurocomputing Approach: The Case of Lagocephalus Sceleratus (Impact Factor 5.606)Konstantinos Demertzis, Lazaros Iliadis

    Demertzis, K., Iliadis, L. Detecting invasive species with a bio-inspired semi-supervised neurocomputing approach: the case of Lagocephalus sceleratus . Neural Comput & Applic 28, 1225–1234 (2017). https://doi.org/10.1007/s00521-016-2591-2, link, pdf

  • Machine learning use in predicting interior spruce wood density utilizing progeny test information (Impact Factor 5.606)Konstantinos Demertzis, Lazaros Iliadis, Stavros Avramidis, Yousry A. El-Kassaby

    Demertzis, K., Iliadis, L., Avramidis, S. et al. Machine learning use in predicting interior spruce wood density utilizing progeny test information. Neural Comput & Applic 28, 505–519 (2017). https://doi.org/10.1007/s00521-015-2075-9, link, pdf

  • HISYCOL a Hybrid Computational Intelligence System for Combined Machine Learning: The case of Air Pollution Modeling in Athens (Impact Factor 5.606)Ilias Bougoudis, Konstantinos Demertzis, Lazaros Iliadis

    Bougoudis, I., Demertzis, K. & Iliadis, L. HISYCOL a hybrid computational intelligence system for combined machine learning: the case of air pollution modeling in Athens. Neural Comput & Applic 27, 1191–1206 (2016). https://doi.org/10.1007/s00521-015-1927-7, link, pdf

  • FuSSFFra, a Fuzzy Semi-Supervised Forecasting Framework: The Case of the Air Pollution in Athens (Impact Factor 5.606)Ilias Bougoudis, Konstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas

    Bougoudis, I., Demertzis, K., Iliadis, L. et al. FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens. Neural Comput & Applic 29, 375–388 (2018). https://doi.org/10.1007/s00521-017-3125-2, link, pdf

  • Classification of buildings' potential for seismic damage using a machine learning model with auto hyperparameter tuning (Impact Factor 5.5) Konstantinos Kostinakis, Konstantinos Morfidis, Konstantinos Demertzis, Lazaros Iliadis

    K. Kostinakis, K. Morfidis, K. Demertzis, and L. Iliadis, “Classification of buildings’ potential for seismic damage using a machine learning model with auto hyperparameter tuning,” Eng. Struct., vol. 290, p. 116359, Sep. 2023, doi: 10.1016/j.engstruct.2023.116359., link, pdf

  • Commentary: Aedes albopictus and Aedes japonicus—two invasive mosquito species with different temperature niches in Europe (Impact Factor 5.411)Konstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis

    Demertzis K, Iliadis L and Anezakis V (2017). Commentary: Aedes albopictus and Aedes japonicus—two invasive mosquito species with different temperature niches in Europe. Front. Environ. Sci. 5:85. doi: 10.3389/fenvs.2017.00085, Frontiers in Environmental Science, Frontiers Media, link, pdf

  • Modeling and forecasting the COVID-19 temporal spread in Greece: an exploratory approach based on complex network defined splines (Impact Factor 4.614) Konstantinos Demertzis, Lykourgos Magafas, Dimitrios Tsiotas

    Demertzis, K.; Tsiotas, D.; Magafas, L. Modeling and Forecasting the COVID-19 Temporal Spread in Greece: An Exploratory Approach Based on Complex Network Defined Splines. Int. J. Environ. Res. Public Health 2020, 17, 4693. link, pdf

  • Interpretable Machine Learning for Assessing the Cumulative Damage of a Reinforced Concrete Frame Induced by Seismic Sequences (Impact Factor 3.9)Lazaridis, Petros C., Ioannis E. KavvadiasKonstantinos Demertzis, Iliadis Lazaros and Lazaros K. Vasiliadis.

    Lazaridis, P.C.; Kavvadias, I.E.; Demertzis, K.; Iliadis, L.; Vasiliadis, L.K. Interpretable Machine Learning for Assessing the Cumulative Damage of a Reinforced Concrete Frame Induced by Seismic Sequences. Sustainability 2023, 15, 12768. https://doi.org/10.3390/su151712768, link, pdf

  • A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions (Impact Factor 3.847)Konstantinos Demertzis, Georgios D. Papadopoulos, Iliadis Lazaros, and Lykourgos Magafas

    Demertzis, K.; Papadopoulos, G.D.; Iliadis, L.; Magafas, L. A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions. Sensors 2022, 22, 720. https://doi.org/10.3390/s22030720, link, pdf

  • A Hybrid Ontology Matching Mechanism For Adaptive Educational E-Learning Environments (Impact Factor 3.508) Vasiliki Demertzi, Konstantinos Demertzis

    V. Demertzi and K. Demertzis, “An Hybrid Ontology Matching Mechanism for Adaptive Educational eLearning Environments,” Int. J. Inf. Technol. Decis. Mak., pp. 1–29, Dec. 2022, doi: 10.1142/S0219622022500936. link, pdf

  • Special Issue “Advance in Machine Learning” (Editorial) (Impact Factor 3.352) Konstantinos Demertzis, Lazaros Iliadis, Nikos Tziritas, Panayotis Kikiras

    Demertzis, K.; Iliadis, L.; Tziritas, N.; Kikiras, P. Special Issue “Advance in Machine Learning”. Processes 2023, 11, 1043. https://doi.org/10.3390/pr11041043 link, pdf

  • Pandemic Analytics by Advanced Machine Learning for Improved Decision Making of COVID-19 Crisis (Impact Factor 3.352) Konstantinos Demertzis, Dimitrios Taketzis, Dimitrios Tsiotas, Lykourgos Magafas, Lazaros Iliadis, Panayotis Kikiras

    Demertzis, K.; Taketzis, D.; Tsiotas, D.; Magafas, L.; Iliadis, L.; Kikiras, P. Pandemic Analytics by Advanced Machine Learning for Improved Decision Making of COVID-19 Crisis. Processes 2021, 9, 1267. https://doi.org/10.3390/pr9081267. link, pdf

  • An Ensemble Transfer Learning Spiking Immune System for Adaptive Smart Grid Protection (Impact Factor 3.252) Konstantinos Demertzis, Dimitrios Taketzis, Vasiliki Demertzi and Charalabos Skianis

    Demertzis, K.; Taketzis, D.; Demertzi, V.; Skianis, C. An Ensemble Transfer Learning Spiking Immune System for Adaptive Smart Grid Protection. Energies 2022, 15, 4398. https://doi.org/10.3390/en15124398. link, pdf

  • A Secure and Privacy-Preserving Blockchain-Based XAI-Justice System (Impact Factor 3.1)Konstantinos Demertzis , Konstantinos Rantos, Lykourgos Magafas, Charalabos Skianis and Lazaros Iliadis

    Demertzis, K.; Rantos, K.; Magafas, L.; Skianis, C.; Iliadis, L. A Secure and Privacy-Preserving Blockchain-Based XAI-Justice System. Information 2023, 14, 477. https://doi.org/10.3390/info14090477, link, pdf

  • Analyzing Global Geopolitical Stability in Terms of World Trade Network Analysis (Impact Factor 3.1)Georgios D. Papadopoulos, Lykourgos Magafas Konstantinos Demertzis, Ioannis E. Antoniou

    Papadopoulos, G.D.; Magafas, L.; Demertzis, K.; Antoniou, I. Analyzing Global Geopolitical Stability in Terms of World Trade Network Analysis. Information 2023, 14, 442. https://doi.org/10.3390/info14080442, link, pdf

  • Advanced Technologies in Data and Information Security (Impact Factor 2.860)George Drosatos, Konstantinos Rantos and Konstantinos Demertzis

    Drosatos, G.; Rantos, K.; Demertzis, K. Advanced Technologies in Data and Information Security. Appl. Sci. 2022, 12, 5925. https://doi.org/10.3390/app12125925, link, pdf

  • A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations (Impact Factor 2.838)Konstantinos Demertzis Stavros Demertzis, Lazaros Iliadis

    Demertzis, K.; Demertzis, S.; Iliadis, L. A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations. Appl. Sci. 2023, 13, 3380. https://doi.org/10.3390/app13063380, link, pdf

  • An Overview of Cyber Threats, Attacks, and Countermeasures on the Primary Domains of Smart Cities (Impact Factor 2.838)Vasiliki Demertzi, Stavros Demertzis, Konstantinos Demertzis

    Demertzi, V.; Demertzis, S.; Demertzis, K. An Overview of Cyber Threats, Attacks and Countermeasures on the Primary Domains of Smart Cities. Appl. Sci. 2023, 13, 790. https://doi.org/10.3390/app13020790, link, pdf

  • Structural Damage Prediction of a Reinforced Concrete Frame under Single and Multiple Seismic Events Using Machine Learning Algorithms (Impact Factor 2.838)Petros C. Lazaridis, Ioannis E. Kavvadias, Konstantinos Demertzis, Lazaros Iliadis and Lazaros K. Vasiliadis

    Lazaridis, P.C.; Kavvadias, I.E.; Demertzis, K.; Iliadis, L.; Vasiliadis, L.K. Structural Damage Prediction of a Reinforced Concrete Frame under Single and Multiple Seismic Events Using Machine Learning Algorithms. Appl. Sci. 2022, 12, 3845. https://doi.org/10.3390/app12083845, link, pdf

  • Comparative Analysis of Exhaust Emissions caused by Chainsaws with Soft Computing and Statistical Approaches (Impact Factor 2.838) George Drosatos, Konstantinos Rantos, Konstantinos Demertzis,

    Dimou, V., Anezakis, VD., Demertzis, K. et al. Comparative analysis of exhaust emissions caused by chainsaws with soft computing and statistical approaches. Int. J. Environ. Sci. Technol. 15, 1597–1608 (2018). https://doi.org/10.1007/s13762-017-1555-0, link, pdf

  • A Cross-Modal Dynamic Attention Neural Architecture to Detect Anomalies in Data Streams from Smart Communication Environments (Impact Factor 2.7) Konstantinos Demertzis, Konstantinos Rantos, Lykourgos Magafas and Lazaros Iliadis

    Demertzis, K.; Rantos, K.; Magafas, L.; Iliadis, L. A Cross-Modal Dynamic Attention Neural Architecture to Detect Anomalies in Data Streams from Smart Communication Environments. Appl. Sci. 2023, 13, 9648. https://doi.org/10.3390/app13179648 link, pdf

  • A Blockchained AutoML Network Traffic Analyzer to Industrial Cyber Defense and Protection (Impact Factor 2.690) Alexandros Papanikolaou, Aggelos Alevizopoulos, Christos Ilioudis, Konstantinos Demertzis, Konstantinos Rantos

    Papanikolaou, A.; Alevizopoulos, A.; Ilioudis, C.; Demertzis, K.; Rantos, K. A Blockchained AutoML Network Traffic Analyzer to Industrial Cyber Defense and Protection. Electronics 2023, 12, 1484. https://doi.org/10.3390/electronics12061484 link, pdf

  • Federated Auto-Meta-Ensemble Learning Framework for AI Enabled Military Operations (Impact Factor 2.690) Konstantinos Demertzis, Panagiotis Kikiras, Charalabos Skianis, Konstantinos Rantos, Lazaros Iliadis, Stamoulis George

    Demertzis, K.; Kikiras, P.; Skianis, C.; Rantos, K.; Iliadis, L.; Stamoulis, G. Federated Auto-Meta-Ensemble Learning Framework for AI-Enabled Military Operations. Electronics 2023, 12, 430. https://doi.org/10.3390/electronics12020430 link, pdf

  • Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework (Impact Factor 2.690)Konstantinos Demertzis, Konstantinos Tsiknas, Dimitrios Takezis, Charalabos Skianis and Lazaros Iliadis

    Demertzis, K.; Tsiknas, K.; Takezis, D.; Skianis, C.; Iliadis, L. Darknet Traffic Big-Data Analysis and Network Management for Real-Time Automating of the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework. Electronics 2021, 10, 781. https://doi.org/10.3390/electronics10070781, link, pdf

  • An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT) (Impact Factor 2.3)Vasiliki Demertzi, Stavros Demertzis, Konstantinos Demertzis

    Demertzi, V.; Demertzis, S.; Demertzis, K. An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT). Algorithms 2023, 16, 378. https://doi.org/10.3390/a16080378, link, pdf

  • An autoML network traffic analyzer for cyber threat detection (Impact Factor 2.427)Alexandros Papanikolaou, Aggelos Alevizopoulos, Christos Ilioudis, Konstantinos Demertzis, Konstantinos Rantos

    Papanikolaou, A., Alevizopoulos, A., Ilioudis, C. et al. An autoML network traffic analyzer for cyber threat detection. Int. J. Inf. Secur. (2023). https://doi.org/10.1007/s10207-023-00703-0, link, pdf

  • Hybrid Intelligent Modeling of Wild Fires Risk (Impact Factor 1.908)Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros Iliadis and Stefanos Spartalis

    Anezakis, VD., Demertzis, K., Iliadis, L. et al. Hybrid intelligent modeling of wild fires risk. Evolving Systems 9, 267–283 (2018). https://doi.org/10.1007/s12530-017-9196-6, link, pdf

  • Harvesting wind damaged trees: a study of prediction of windthrow damage in mixed-broadleaf stands via a machine learning model (Impact Factor 1.804) Vasiliki Dimou, Konstantinos Demertzis, Apostolos Kantartzis

    [1] V. Dimou, K. Demertzis, and A. Kantartzis, “Harvesting wind damaged trees: a study of prediction of windthrow damage in mixed-broadleaf stands via a machine learning model,” Int. J. For. Eng., pp. 1–15, Jan. 2023, doi: 10.1080/14942119.2023.2171599. link, pdf

  • Machine Failure Prediction Using Survival Analysis Dimitris Papathanasiou Konstantinos Demertzis and Nikos Tziritas

    Papathanasiou, D.; Demertzis, K.; Tziritas, N. Machine Failure Prediction Using Survival Analysis. Future Internet 2023, 15, 153. https://doi.org/10.3390/fi15050153 link, pdf

  • Intelligence-Led Policing and the New Technologies Adopted by the Hellenic Police Georgios Gkougkoudis, Dimitrios Pissanidis and Konstantinos Demertzis

    Gkougkoudis, G.; Pissanidis, D.; Demertzis, K. Intelligence-Led Policing and the New Technologies Adopted by the Hellenic Police. Digital 2022, 2, 143-163. https://doi.org/10.3390/digital2020009 link, pdf

  • Communication Network Standards for Smart Grid Infrastructures Konstantinos Demertzis, Konstantinos Tsiknas, Dimitrios Takezis, Dimitrios N. Skoutas, Charalabos Skianis, Lazaros Iliadis, Kyriakos Zoiros

    Demertzis, Konstantinos, Konstantinos Tsiknas, Dimitrios Taketzis, Dimitrios N. Skoutas, Charalabos Skianis, Lazaros Iliadis, and Kyriakos E. Zoiros 2021. "Communication Network Standards for Smart Grid Infrastructures" Network 1, no. 2: 132-145. https://doi.org/10.3390/network1020009 link, pdf

  • Data Analytics for Climate and Atmospheric Science Stavros Demertzis, Vasiliki Demertzi and Konstantinos Demertzis

    Stavros Demertzis, Vasiliki Demertzi and Konstantinos Demertzis, Data Analytics for Climate and Atmospheric Science, International Journal of Big Data Mining for Global Warming Vol. 3, No. 1 (2021) 2150005 (15 pages) © World Scientific Publishing Company DOI: 10.1142/S2630534821500054. link, pdf

  • Cyber Threats to Industrial IoT: A Survey on Attacks and Countermeasures Konstantinos Tsiknas, Dimitrios Taketzis, Konstantinos Demertzis, Charalabos Skianis

    Tsiknas, K.; Taketzis, D.; Demertzis, K.; Skianis, C. Cyber Threats to Industrial IoT: A Survey on Attacks and Countermeasures. IoT 2021, 2, 163-188. https://doi.org/10.3390/iot2010009 link, pdf

  • A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processing in the IoT Ecosystem Konstantinos Demertzis, Konstantinos Rantos, George Drosatos

    Demertzis, K.; Rantos, K.; Drosatos, G. A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processing in the IoT Ecosystem. Big Data Cogn. Comput. 2020, 4, 9, link, pdf

  • GeoAI: A Model-Agnostic Meta-Ensemble Zero-shot Learning Method for Hyperspectral Image Analysis and Classification Konstantinos Demertzis, Lazaros Iliadis

    Demertzis, K.; Iliadis, L. GeoAI: A Model-Agnostic Meta-Ensemble Zero-Shot Learning Method for Hyperspectral Image Analysis and Classification. Algorithms 2020, 13, 61, link, pdf

  • Hybrid Unsupervised Modeling of Air Pollution impact to Cardiovascular and Respiratory DiseasesLazaros Iliadis, Vardis-Dimitris Anezakis, Konstantinos Demertzis, Georgios Mallinis

    Iliadis, Lazaros,et al. "Hybrid Unsupervised Modeling of Air Pollution Impact to Cardiovascular and Respiratory Diseases." IJISCRAM 9.3 (2017): 13-35. Web. 20 Mar. 2021. doi:10.4018/IJISCRAM.2017070102, link, pdf

  • The Next Generation Cognitive Computing SOC: Adaptive Analytic Lambda Architecture Framework for Efficient Defense Against Adversarial AttacksKonstantinos Demertzis, Nikolaos Tziritas, Panayiotis Kikiras, Salvador Llopis Sanchez, Lazaros Iliadis

    Demertzis, K.; Tziritas, N.; Kikiras, P.; Sanchez, S.L.; Iliadis, L. The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense against Adversarial Attacks. Big Data Cogn. Comput. 2019, 3, 6, link, pdf

  • The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity IntelligenceKonstantinos Demertzis, Panayiotis Kikiras, Nikolaos Tziritas, Salvador Llopis Sanchez, Lazaros Iliadis

    Demertzis, K.; Kikiras, P.; Tziritas, N.; Sanchez, S.L.; Iliadis, L. The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence. Big Data Cogn. Comput. 2018, 2, 35, MDPI, link, pdf

  • Extreme Deep Learning in Biosecurity: The case of machine hearing for marine species identificationKonstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis

    Demertzis, K., Iliadis, L.S., Anezakis, V.-D., 2018. Extreme deep learning in biosecurity: the case of machine hearing for marine species identification. Journal of Information and Telecommunication 0, 1–19, Taylor & Francis, DOI: 10.1080/24751839.2018.1501542, link, pdf

  • Cognitive Web Application Firewall to Critical Infrastructures Protection from Phishing AttacksKonstantinos Demertzis and Lazaros Iliadis

    Demertzis, K.; Iliadis, L.. Cognitive Web Application Firewall to Critical Infrastructures Protection from Phishing Attacks, Journal of Computations & Modelling, vol.9, no.2, 2019, 1-26, ISSN: 1792-7625 (print), 1792-8850 (online), Scienpress Ltd, 2019, link, pdf

  • An innovative soft computing system for smart energy grids cybersecurityKonstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitrios Anezakis

    Konstantinos Demertzis, Lazaros S. Iliadis & Vardis-Dimitrios Anezakis (2018) An innovative soft computing system for smart energy grids cybersecurity, Advances in Building Energy Research, 12:1, 3-24, DOI: 10.1080/17512549.2017.1325401, Taylor & Francis, link, pdf

  • Computational Intelligence Anti-Malware Framework for Android OSKonstantinos Demertzis, Lazaros Iliadis

    Demertzis, K., Iliadis, L. Computational intelligence anti-malware framework for android OS. Vietnam J Comput Sci 4, 245–259 (2017). https://doi.org/10.1007/s40595-017-0095-3, link, pdf

  • Ladon: A Cyber Threat Bio-Inspired Intelligence Management SystemKonstantinos Demertzis, Lazaros Iliadis

    Journal of Applied Mathematics & Bioinformatics, vol.6, no.3, 2016, 45-64, ISSN: 1792-6602 (print), 1792-6939 (online), Scienpress Ltd, 2016, link, pdf

Conferences

  • Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams Konstantinos Demertzis, Lazaros Iliadis & Antonios Papaleonidas

    Demertzis, K., Iliadis, L., Papaleonidas, A. (2023). Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams. In: Iliadis, L., Papaleonidas, A., Angelov, P., Jayne, C. (eds) Artificial Neural Networks and Machine Learning – ICANN 2023. ICANN 2023. Lecture Notes in Computer Science, vol 14259. Springer, Cham. https://doi.org/10.1007/978-3-031-44223-0_13 link, pdf

  • The Dynamic Problem of an Elastically Supported Beam Analysis using Neural Architecture Search with Automatic Differentiation Konstantinos Demertzis, Konstantinos Morfidis, Konstantinos Kostinakis, Lazaros Iliadis

    COMPDYN 2023, 9th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, M. Fragiadakis (eds.), Athens, Greece, 12-14 June 2023 link, pdf

  • An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems Konstantinos Demertzis, Lazaros Iliadis

    Demertzis, K., Iliadis, L. (2023). An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems. In: Iliadis, L., Maglogiannis, I., Alonso, S., Jayne, C., Pimenidis, E. (eds) Engineering Applications of Neural Networks. EANN 2023. Communications in Computer and Information Science, vol 1826. Springer, Cham. https://doi.org/10.1007/978-3-031-34204-2_38 link, pdf

  • Next Generation Automated Reservoir Computing for Cyber Defense Konstantinos Demertzis, Lazaros Iliadis

    Demertzis, K., Iliadis, L. (2023). Next Generation Automated Reservoir Computing for Cyber Defense. In: Maglogiannis, I., Iliadis, L., MacIntyre, J., Dominguez, M. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 676. Springer, Cham. https://doi.org/10.1007/978-3-031-34107-6_2 link, pdf

  • A Cyber Threat Intelligence Management Platform for Industrial Environments Alexandros Papanikolaou, Aggelos Alevizopoulos, Christos Ilioudis, Konstantinos Demertzis, Konstantinos Rantos

    A. Papanikolaou, A. Alevizopoulos, C. Ilioudis, K. Demertzis, K. Rantos, (2022) A Cyber Threat Intelligence Management Platform for Industrial Environments. In: Signal Processing and Vision, Volume 12, Number 22, December 2022, International Conference on Signal Processing and Vision (SIGV 2022), December 17 ~ 18, 2022, Dubai, UAE, Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds), ISBN : 978-1-925953-82-4 link, pdf

  • AI Threat Detection and Response on Smart Networks Konstantinos Demertzis, Lazaros Iliadis

    Dermetzis K., Iliadis L. (2021) AI Threat Detection and Response on Smart Networks. In: Nguyen N.T., Iliadis L., Maglogiannis I., Trawiński B. (eds) Computational Collective Intelligence. ICCCI 2021. Lecture Notes in Computer Science, vol 12876. Springer, Cham. https://doi.org/10.1007/978-3-030-88081-1_51 link, pdf

  • Brane-World Economic Theory (poster - Satellite on Econophysics 2021) Konstantinos Demertzis, Lykourgos Magafas

    Satellite on Econophysics 2021 (EC2021), 27-28 October 2021 in satellite link, pdf

  • Structural Damage Prediction under Seismic Sequence using Neural NetworksPetros C. Lazaridis, Ioannis E. Kavvadias, Konstantinos Demertzis, Lazaros Iliadis, Antonios Papaleonidas, Lazaros K. Vasiliadis, Anaxagoras Elenas

    Petros C. Lazaridis, Ioannis E. Kavvadias, Konstantinos Demertzis, Lazaros Iliadis, Antonios Papaleonidas, Lazaros K. Vasiliadis, Anaxagoras Elenas, “STRUCTURAL DAMAGE PREDICTION UNDER SEISMIC SEQUENCE USING NEURAL NETWORKS,” p. 17.COMPDYN 2021 8th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, M. Fragiadakis (eds.) Streamed from Athens, Greece, 27—30 June 2021, link, pdf

  • A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial AttacksKonstantinos Demertzis, Lazaros Iliadis, Panagiotis Kikiras

    Demertzis K., Iliadis L., Kikiras P. (2021) A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks. In: Maglogiannis I., Macintyre J., Iliadis L. (eds) Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops. AIAI 2021. IFIP Advances in Information and Communication Technology, vol 628. Springer, Cham. https://doi.org/10.1007/978-3-030-79157-5_18, link, pdf

  • Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy FrameworkKonstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis, Nikolaos Tziritas, Maria Koziri, Panagiotis Kikiras

    Demertzis K. et al. (2021) Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework. In: Maglogiannis I., Macintyre J., Iliadis L. (eds) Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology, vol 627. Springer, Cham. https://doi.org/10.1007/978-3-030-79150-6_60, link, pdf

  • Blockchained Αdaptive Federated Auto MetaLearning BigData and DevOps CyberSecurity Architecture in Industry 4.0Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis, Nikolaos Tziritas, Maria Koziri, Panagiotis Kikiras

    Demertzis K., Iliadis L., Pimenidis E., Tziritas N., Koziri M., Kikiras P. (2021) Blockchained Adaptive Federated Auto MetaLearning BigData and DevOps CyberSecurity Architecture in Industry 4.0. In: Iliadis L., Macintyre J., Jayne C., Pimenidis E. (eds) Proceedings of the 22nd Engineering Applications of Neural Networks Conference. EANN 2021. Proceedings of the International Neural Networks Society, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-80568-5_29, link, pdf

  • Large-Scale Geospatial Data Analysis: Geographic Object-based Scene Classification in Remote Sensing Images by GIS and Deep Residual LearningKonstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis

    Demertzis K., Iliadis L., Pimenidis E. (2020) Large-Scale Geospatial Data Analysis: Geographic Object-Based Scene Classification in Remote Sensing Images by GIS and Deep Residual Learning. In: Iliadis L., Angelov P., Jayne C., Pimenidis E. (eds) Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. EANN 2020. Proceedings of the International Neural Networks Society, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-48791-1_21, link, pdf

  • Cyber-Typhon: An Online Multi-Task Anomaly Detection FrameworkKonstantinos Demertzis, Lazaros Iliadis, Panayiotis Kikiras, Nikos Tziritas

    Demertzis K., Iliadis L., Kikiras P., Tziritas N. (2019) Cyber-Typhon: An Online Multi-task Anomaly Detection Framework. In: MacIntyre J., Maglogiannis I., Iliadis L., Pimenidis E. (eds) Artificial Intelligence Applications and Innovations. AIAI 2019. IFIP Advances in Information and Communication Technology, vol 559. Springer, Cham, link, pdf

  • A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda ArchitectureKonstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis

    Demertzis K., Iliadis L., Anezakis VD. (2019) A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture. In: Macintyre J., Iliadis L., Maglogiannis I., Jayne C. (eds) Engineering Applications of Neural Networks. EANN 2019. Communications in Computer and Information Science, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-20257-6_21, link, pdf

  • ADvoCATE: A Consent Management Platform for Personal Data Processing in the IoT using Blockchain TechnologyKonstantinos Rantos, George Drosatos, Konstantinos Demertzis, Christos Ilioudis, Alexandros Papanikolaou, Antonios Kritsas

    Rantos K., Drosatos G., Demertzis K., Ilioudis C., Papanikolaou A., Kritsas A. (2019) ADvoCATE: A Consent Management Platform for Personal Data Processing in the IoT Using Blockchain Technology. In: Lanet JL., Toma C. (eds) Innovative Security Solutions for Information Technology and Communications. SECITC 2018. Lecture Notes in Computer Science, vol 11359. Springer, Cham, link, pdf

  • A Dynamic Ensemble Learning Framework for Data Stream Analysis to Real-Time Threat DetectionKonstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis

    Demertzis K., Iliadis L., Anezakis VD. (2018) A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection. In: Kůrková V., Manolopoulos Y., Hammer B., Iliadis L., Maglogiannis I. (eds) Artificial Neural Networks and Machine Learning – ICANN 2018. ICANN 2018. Lecture Notes in Computer Science, vol 11139. Springer, Cham. https://doi.org/10.1007/978-3-030-01418-6_66, link, pdf

  • MOLESTRA: A Multi-Task Learning Approach for Real-Time and Large-Scale Data AnalyticsKonstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis

    K. Demertzis, L. Iliadis and V. Anezakis, "MOLESTRA: A Multi-Task Learning Approach for Real-Time Big Data Analytics," 2018 Innovations in Intelligent Systems and Applications (INISTA), Thessaloniki, 2018, pp. 1-8. doi: 10.1109/INISTA.2018.8466306, link, pdf

  • Blockchain-based Consents Management for Personal Data Processing in the IoT EcosystemKonstantinos Rantos, George Drosatos, Konstantinos Demertzis, Christos Ilioudis, Alexandros Papanikolaou

    Rantos K., Drosatos G., Demertzis K., Ilioudis C. and Papanikolaou A. (2018). Blockchain-based Consents Management for Personal Data Processing in the IoT Ecosystem.In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: SECRYPT, ISBN 978-989-758-319-3, pages 572-577. DOI: 10.5220/0006911005720577, link, pdf

  • Soft computing forecasting of cardiovascular and respiratory incidents based on climate change scenariosVardis-Dimitris Anezakis, Georgios Mallinis, Lazaros Iliadis, Konstantinos Demertzis

    V. D. Anezakis, G. Mallinis, L. Iliadis and K. Demertzis, "Soft computing forecasting of cardiovascular and respiratory incidents based on climate change scenarios," 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), Rhodes, 2018, pp. 1-8. doi: 10.1109/EAIS.2018.8397174, link, pdf

  • Temporal Modeling of invasive species’ migration in Greece from neighboring countries using Fuzzy Cognitive MapsKonstantinos Demertzis, Vardis-Dimitris Anezakis, Lazaros Iliadis

    Demertzis K., Anezakis VD., Iliadis L., Spartalis S. (2018) Temporal Modeling of Invasive Species’ Migration in Greece from Neighboring Countries Using Fuzzy Cognitive Maps. In: Iliadis L., Maglogiannis I., Plagianakos V. (eds) Artificial Intelligence Applications and Innovations. AIAI 2018. IFIP Advances in Information and Communication Technology, vol 519. Springer, Cham. https://doi.org/10.1007/978-3-319-92007-8_50, link, pdf

  • A Low Cost Forecasting Framework for Air Pollution (Poster)Ilias Bougoudis, Konstantinos Demertzis, Lazaros Iliadis

    Mathematical Signal Processing and Data Analysis Conference (2017), September 18-20, 2017 University of Bremen, link, pdf

  • Classifying with Fuzzy Chi-Square Test: The case of Invasive SpeciesVardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros Iliadis

    Anezakis, V.-D., Demertzis, K., Iliadis, L., 2018. Classifying with fuzzy chi-square test: The case of invasive species. AIP Conference Proceedings 1978, 290003. https://doi.org/10/gdtm5q, link, pdf

  • Hybrid Soft Computing Analytics of Cardiorespiratory Morbidity and Mortality Risk due to Air Pollution (BEST RESEARCH PAPER AWARD) Vardis-Dimitris Anezakis, Lazaros Iliadis, Konstantinos Demertzis, Georgios Mallinis

    Anezakis VD., Iliadis L., Demertzis K., Mallinis G. (2017) Hybrid Soft Computing Analytics of Cardiorespiratory Morbidity and Mortality Risk Due to Air Pollution. In: Dokas I., Bellamine-Ben Saoud N., Dugdale J., Díaz P. (eds) Information Systems for Crisis Response and Management in Mediterranean Countries. ISCRAM-med 2017. Lecture Notes in Business Information Processing, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-319-67633-3_8, link, pdf

  • A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control SystemsKonstantinos Demertzis and Lazaros Iliadis

    Demertzis K., Iliadis L., Spartalis S. (2017) A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems. In: Boracchi G., Iliadis L., Jayne C., Likas A. (eds) Engineering Applications of Neural Networks. EANN 2017. Communications in Computer and Information Science, vol 744. Springer, Cham. https://doi.org/10.1007/978-3-319-65172-9_11, link, pdf

  • A Deep Spiking Machine-Hearing System that Recognizing Invasive Fish SpeciesKonstantinos Demertzis, Lazaros Iliadis and Vardis-Dimitris Anezakis

    K. Demertzis, L. Iliadis and V. D. Anezakis, "A deep spiking machine-hearing system for the case of invasive fish species," 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Gdynia, 2017, pp. 23-28. doi: 10.1109/INISTA.2017.8001126, link, pdf

  • Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive SpeciesKonstantinos Demertzis, Lazaros Iliadis

    Demertzis K., Iliadis L. (2017) Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species. In: Angelov P., Manolopoulos Y., Iliadis L., Roy A., Vellasco M. (eds) Advances in Big Data. INNS 2016. Advances in Intelligent Systems and Computing, vol 529. Springer, Cham. https://doi.org/10.1007/978-3-319-47898-2_34, link, pdf

  • A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk IndicesVardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros Iliadis, Stefanos Spartalis

    Anezakis VD., Demertzis K., Iliadis L., Spartalis S. (2016) A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices. In: Iliadis L., Maglogiannis I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2016. IFIP Advances in Information and Communication Technology, vol 475. Springer, Cham. https://doi.org/10.1007/978-3-319-44944-9_17, link, pdf

  • Semi-Supervised Hybrid Modeling of Atmospheric Pollution in Urban CentersIlias Bougoudis, Konstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas

    Bougoudis I., Demertzis K., Iliadis L., Anezakis VD., Papaleonidas A. (2016) Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers. In: Jayne C., Iliadis L. (eds) Engineering Applications of Neural Networks. EANN 2016. Communications in Computer and Information Science, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-319-44188-7_4, link, pdf

  • Fuzzy cognitive maps for long-term prognosis of the evolution of atmospheric pollution, based on climate change scenarios: The case of AthensVardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros Iliadis

    Anezakis VD., Dermetzis K., Iliadis L., Spartalis S. (2016) Fuzzy Cognitive Maps for Long-Term Prognosis of the Evolution of Atmospheric Pollution, Based on Climate Change Scenarios: The Case of Athens. In: Nguyen NT., Iliadis L., Manolopoulos Y., Trawiński B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science, vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_16, link, pdf

  • Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The case of Invasive Fish Species Lagocephalus SceleratusKonstantinos Demertzis, Lazaros Iliadis

    Demertzis K., Iliadis L. (2015) Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The Case of Invasive Fish Species Lagocephalus Sceleratus. In: Iliadis L., Jayne C. (eds) Engineering Applications of Neural Networks. EANN 2015. Communications in Computer and Information Science, vol 517. Springer, Cham. https://doi.org/10.1007/978-3-319-23983-5_9, link, pdf

  • SAME: An Intelligent Anti-Malware Extension for Android ART Virtual MachineKonstantinos Demertzis, Lazaros Iliadis

    Demertzis K., Iliadis L. (2015) SAME: An Intelligent Anti-malware Extension for Android ART Virtual Machine. In: Núñez M., Nguyen N., Camacho D., Trawiński B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science, vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_23, link, pdf

  • Evolving Smart URL Filter in a Zone-based Policy Firewall for Detecting Algorithmically Generated Malicious DomainsKonstantinos Demertzis, Lazaros Iliadis

    Demertzis K., Iliadis L. (2015) Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains. In: Gammerman A., Vovk V., Papadopoulos H. (eds) Statistical Learning and Data Sciences. SLDS 2015. Lecture Notes in Computer Science, vol 9047. Springer, Cham. https://doi.org/10.1007/978-3-319-17091-6_17, link, pdf

  • Bio-Inspired Hybrid Intelligent Method for Detecting Android MalwareKonstantinos Demertzis, Lazaros Iliadis

    Demertzis K., Iliadis L. (2016) Bio-inspired Hybrid Intelligent Method for Detecting Android Malware. In: Kunifuji S., Papadopoulos G., Skulimowski A., Kacprzyk J. (eds) Knowledge, Information and Creativity Support Systems. Advances in Intelligent Systems and Computing, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-27478-2_20, link, pdf

  • Evolving Computational Intelligence System for Malware DetectionKonstantinos Demertzis, Lazaros Iliadis

    Demertzis K., Iliadis L. (2014) Evolving Computational Intelligence System for Malware Detection. In: Iliadis L., Papazoglou M., Pohl K. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2014. Lecture Notes in Business Information Processing, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-319-07869-4_30, link, pdf

  • A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network ClassificationKonstantinos Demertzis, Lazaros Iliadis

    Demertzis K., Iliadis L. (2014) A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification. In: Sideridis A., Kardasiadou Z., Yialouris C., Zorkadis V. (eds) E-Democracy, Security, Privacy and Trust in a Digital World. e-Democracy 2013. Communications in Computer and Information Science, vol 441. Springer, Cham. https://doi.org/10.1007/978-3-319-11710-2_2, link, pdf

Book Chapters

  • Machine Learning-Based TCP Congestion Control Strategies for Cyberterrorism Active Defense on Smart Grids Konstantinos Demertzis, Dimitrios Taketzis, Charalabos Skianis, Lazaros Iliadis

    Ferrag, M.A., Kantzavelou, I., Maglaras, L., & Janicke, H. (Eds.). (2023). Hybrid Threats, Cyberterrorism and Cyberwarfare (1st ed.). CRC Press. https://doi.org/10.1201/9781003314721, link, pdf

  • The Impact of Climate Change on Biodiversity: The Ecological Consequences of Introduced Species in GreeceKonstantinos Demertzis, Lazaros Iliadis

    Demertzis K., Iliadis L. (2018) The Impact of Climate Change on Biodiversity: The Ecological Consequences of Invasive Species in Greece. In: Leal Filho W., Manolas E., Azul A., Azeiteiro U., McGhie H. (eds) Handbook of Climate Change Communication: Vol. 1. Climate Change Management. Springer, Cham, link, pdf

  • Real-time Computational Intelligence Protection Framework Against Advanced Persistent ThreatsKonstantinos Demertzis, Lazaros Iliadis

    Book entitled "Cyber-Security and Information Warfare", Series: Cybercrime and Cybersecurity Research, NOVA science publishers, ISBN: 978-1-53614-385-0, Chapter 5, link, pdf

  • A Computational Intelligence System for Identification Cyber-Attacks on Smart Energy GridsKonstantinos Demertzis, Lazaros Iliadis

    Demertzis K., Iliadis L. (2018) A Computational Intelligence System Identifying Cyber-Attacks on Smart Energy Grids. In: Daras N., Rassias T. (eds) Modern Discrete Mathematics and Analysis. Springer Optimization and Its Applications, vol 131. Springer, Cham, DOI 10.1007/978-3-319-74325-7, link, pdf

  • A Bio-Inspired Hybrid Artificial Intelligence Framework for Cyber SecurityKonstantinos Demertzis, Lazaros Iliadis

    Demertzis K., Iliadis L. (2015) A Bio-Inspired Hybrid Artificial Intelligence Framework for Cyber Security. In: Daras N., Rassias M. (eds) Computation, Cryptography, and Network Security. Springer, Cham, link, pdf

Greek Books Chapters

  • Γενετική Ταυτοποίηση Χωροκατακτητικών Ειδών με Εξελιγμένες Μεθόδους Τεχνητής Νοημοσύνης: Η Περίπτωση του Ασιατικού Κουνουπιού Τίγρης (Aedes Αlbopictus)Κωνσταντίνος Δεμερτζής, Λάζαρος Ηλιάδης

    Θέματα Δασολογίας & Διαχείρισης Περιβάλλοντος & Φυσικών Πόρων, 7ος τόμος, Κλιματική Αλλαγή: Διεπιστημονικές Προσεγγίσεις, ISSN: 1791-7824, ISBN: 978-960-9698-11-5, Eκδοτικός Oίκος: Δημοκρίτειο Πανεπιστήμιο Θράκης, link, pdf

  • Ενίσχυση της Διοικητικής Ικανότητας των Δήμων Μέσω της Ηλεκτρονικής Διακυβέρνησης: Η Στρατηγική των «Έξυπνων Πόλεων» με Σκοπό την Αειφόρο ΑνάπτυξηΚωνσταντίνος Δεμερτζής

    Θέματα Δασολογίας και Διαχείρισης Περιβάλλοντος και Φυσικών Πόρων, 10ος Τόμος: Περιβαλλοντική Πολιτική: Καλές Πρακτικές, Προβλήματα και Προοπτικές, σελ. 84 - 100, ISSN: 1791-7824, ISBN: 978-960-9698-14-6, Νοέμβριος 2018, Eκδοτικός Oίκος: Δημοκρίτειο Πανεπιστήμιο Θράκης, Επιμέλεια: Ευάγγελος Ι. Μανωλάς & Γεώργιος Ε. Τσαντόπουλος, link, pdf

Panhellenic Conferences

  • H Αξιοποίηση των Συγχρόνων Τεχνολογιών Πληροφορικής και Επικοινωνιών στην Μουσειοπαιδαγωγική: Η Περίπτωση του Λαογραφικού Μουσείου Νέας Ορεστιάδας και Περιφέρειας Κωνσταντίνος Δεμερτζής, Λάζαρος Ηλιάδης

    Πρακτικά 2ου Πανελλήνιου Συνεδρίου Ιστορίας και Πολιτισμού της Ορεστιάδας «Πολιτιστική Κληρονομιά και Τοπική Ανάπτυξη», Έκδοση Σχολής Επιστημών Γεωπονίας και Δασολογίας Δημοκρίτειου Πανεπιστημίου Θράκης και Δήμου Ορεστιάδας, ISBN: 978-618-00-1152-4, Απρίλιος 2019, Επιμέλεια: Ευάγγελος Μανωλάς, link, pdf

  • Πρόβλεψη Χαλαζοπτώσεων Μέσω Μηχανικής ΜάθησηςΒαρδής-Δημήτριος Ανεζάκης, Κωνσταντίνος Δεμερτζής, Λάζαρος Ηλιάδης

    3o Πανελλήνιο Συνέδριο Πολιτικής Προστασίας «SafeEvros 2016: Οι νέες τεχνολογίες στην υπηρεσία της Πολιτικής Προστασίας», Proceedings, ISBN : 978-960-89345-7-3, Ιούνιος 2017, Eκδοτικός Oίκος: ∆ημοκρίτειο Πανεπιστήμιο Θράκης, link, pdf

Preprints

  • Interpretable Machine Learning for Assessing the Cumulative Damage of a Reinforced Concrete Frame Induced by Seismic Sequences (preprint) Petros C. Lazaridis, Ioannis E. Kavvadias, Konstantinos Demertzis, Lazaros Iliadis, Lazaros K. Vasiliadis

    Lazaridis, P.C.; Kavvadias, I.E.; Demertzis, K.; Iliadis, L.; Vasiliadis, L.K. Interpretable Machine Learning for Assessing the Cumulative Damage of a Reinforced Concrete Frame Induced by Seismic Sequences. Preprints.org 2023, 2023050737. https://doi.org/10.20944/preprints202305.0737.v1. link, pdf

  • An Overview of Privacy Dimensions on Industrial Internet of Things (IIoT) (preprint) Vasiliki Demertzi, Stavros Demertzis, Konstantinos Demertzis

    V. Demertzi, S. Demertzis, and K. Demertzis, “An Overview of Privacy Dimensions on Industrial Internet of Things (IIoT)” arXiv:2301.06172 [cs.CR] https://doi.org/10.48550/arXiv.2301.06172 link, pdf

  • An Overview of Cyber Threats, Attacks, and Countermeasures on the Primary Domains of Smart Cities (preprint) Vasiliki Demertzi, Stavros Demertzis, Konstantinos Demertzis

    V. Demertzi, S. Demertzis, and K. Demertzis, “An Overview of Cyber Threats, Attacks, and Countermeasures on the Primary Domains of Smart Cities.” arXiv, Jul. 10, 2022. doi: 10.48550/arXiv.2207.04424. link, pdf

  • A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System (preprint) Vasiliki Demertzi, Konstantinos Demertzis

    Demertzi, V.; Demertzis, K. A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System. Preprints 2020, 2020080388 (doi: 10.20944/preprints202008.0388.v2). link, pdf

  • Prediction of Windthrow Damage in Mixed Conifer-Broadleaf Stands via a Machine Learning Model (preprint) Vasiliki Dimou, Konstantinos Demertzis, Apostolos Kantartzis

    Dimou, V.; Demertzis, K.; Kantartzis, A. Prediction of Windthrow Damage in Mixed Conifer-Broadleaf Stands via a Machine Learning Model. Preprints 2022, 2022020201 (doi: 10.20944/preprints202202.0201.v1). link, pdf

  • An Ensemble Transfer Learning Spiking Immune System for Adaptive Smart Grid Protection (preprint) Konstantinos Demertzis, Dimitrios Taketzis, Vasiliki Demertzi, Charalabos Skianis

    Demertzis, K.; Taketzis, D.; Demertzi, V.; Skianis, C. An Ensemble Transfer Learning Spiking Immune System for Adaptive Smart Grid Protection. Energies 2022, 15, 4398. link, pdf

  • A Comprehensive Survey on Nanophotonics Neural Networks (preprint) Konstantinos Demertzis, Georgios Papadopoulos, Lazaros Iliadis, Lykourgos Magafas

    Demertzis, K.; Papadopoulos, G.D.; Iliadis, L.; Magafas, L. A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions. Sensors 2022, 22, 720. https://doi.org/10.3390/s22030720. link, pdf

  • Cyber Threats to Industrial IoT: A Survey on Attacks and Countermeasures (preprint) Konstantinos Tsiknas, Dimitrios Taketzis, Konstantinos Demertzis, Charalabos Skianis

    Tsiknas, K.; Taketzis, D.; Demertzis, K.; Skianis, C. Cyber Threats to Industrial IoT: A Survey on Attacks and Countermeasures. IoT 2021, 2, 163-188. link, pdf

  • Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework (preprint) Konstantinos Demertzis, Konstantinos Tsiknas, Dimitrios Taketzis, Charalabos Skianis, Lazaros Iliadis

    Demertzis, K.; Tsiknas, K.; Takezis, D.; Skianis, C.; Iliadis, L. Darknet Traffic Big-Data Analysis and Network Management for Real-Time Automating of the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework. Electronics 2021, 10, 781. link, pdf

  • Structural Damage Prediction of a Reinforced Concrete Frame Under Single and Multiple Seismic Events Using Machine Learning Algorithms (preprint) Konstantinos Demertzis, Konstantinos Tsiknas, Dimitrios Taketzis, Charalabos Skianis, Lazaros Iliadis

    Lazaridis, P.C.; Kavvadias, I.E.; Demertzis, K.; Iliadis, L.; Vasiliadis, L.K. Structural Damage Prediction of a Reinforced Concrete Frame under Single and Multiple Seismic Events Using Machine Learning Algorithms. Appl. Sci. 2022, 12, 3845. link, pdf

  • Communication Networks Standards for Smart Grid Infrastructures (preprint) Konstantinos Demertzis, Konstantinos Tsiknas, Dimitrios Takezis, Dimitrios N. Skoutas, Charalabos Skianis, Lazaros Iliadis, Kyriakos E. Zoiros

    Demertzis, K.; Tsiknas, K.; Taketzis, D.; Skoutas, D.N.; Skianis, C.; Iliadis, L.; Zoiros, K.E. Communication Network Standards for Smart Grid Infrastructures. Network 2021, 1, 132-146. link, pdf

  • Classification of buildings' potential for seismic damage by means of artificial intelligence techniques (preprint) Konstantinos Kostinakis, Konstantinos Morfidis, Konstantinos Demertzis, Lazaros Iliadis

    K. Kostinakis, K. Morfidis, K. Demertzis, and L. Iliadis, “Classification of Buildings’ Potential for Seismic Damage by Means of Artificial Intelligence Techniques,” arXiv, arXiv:2205.01076, Apr. 2022. doi: 10.48550/arXiv.2205.01076. link, pdf

  • A comparative evaluation of Machine Learning Algorithms for the prediction of R/C buildings' seismic damage (preprint) Konstantinos Demertzis, Konstantinos Kostinakis, Konstantinos Morfidis, Lazaros Iliadis

    K. Demertzis, K. Kostinakis, K. Morfidis, and L. Iliadis, “A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings’ Seismic Damage,” arXiv, arXiv:2203.13449, Mar. 2022. doi: 10.48550/arXiv.2203.13449 link, pdf

  • A Comprehensive Survey on Nanophotonics Neural Networks (preprint) Konstantinos Demertzis, Georgios Papadopoulos, Lazaros Iliadis, Lykourgos Magafas

    Demertzis, K., Papadopoulos, G., Iliadis, L., & Magafas, L. (2021). A Comprehensive Survey on Nanophotonics Neural Networks (arXiv:2111.01550). arXiv. https://doi.org/10.48550/arXiv.2111.01550 link, pdf

  • Blockchained Federated Learning for Threat Defense (preprint) Konstantinos Demertzis

    Demertzis, K. (2021). Blockchained Federated Learning for Threat Defense. ArXiv:2102.12746 [Cs]. http://arxiv.org/abs/2102.12746 link, pdf

  • Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework (preprint) Konstantinos Demertzis, Konstantinos Tsiknas, Dimitrios Takezis, Charalabos Skianis, Lazaros Iliadis

    Demertzis, K., Tsiknas, K., Takezis, D., Skianis, C., & Iliadis, L. (2021). Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework (arXiv:2102.08411). arXiv. https://doi.org/10.48550/arXiv.2102.08411 link, pdf

  • Flattening the COVID-19 Curve: The "Greek" case in the Global Pandemic (preprint) Konstantinos Demertzis, Lykourgos Magafas, Dimitrios Tsiotas

    Demertzis, K., Magafas, L., & Tsiotas, D. (2020). Flattening the COVID-19 Curve: The “Greek” case in the Global Pandemic (arXiv:2010.12040). arXiv. https://doi.org/10.48550/arXiv.2010.12040 link, pdf

  • A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System (preprint) Vasiliki Demertzi, Konstantinos Demertzis

    Demertzi, V., & Demertzis, K. (2020). A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System. ArXiv:2007.14771 [Cs, Math]. http://arxiv.org/abs/2007.14771 link, pdf

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