Konstantinos Demertzis

BSc, MSc, PhD

Postdoctoral Research Fellow at Democritus University of Thrace, School of Engineering, Department of Civil Engineering, Faculty of Mathematics, Programming and general courses

Education and Training

  • Postdoc2017- ongoing

    Democritus University of Thrace, School of Engineering, Department of Civil Engineering
    Supervisor: Prof Lazaros Iliadis

    Postdoctoral Research Area: "Development of Intelligent Models and respective Big Data Analytics Platform for Cyberdefense of Urban Critical Infrastructure"

  • PhD2017

    Democritus University of Thrace, Department of Forestry and Management of the Environment and Natural Resources
    Supervisor: Prof Lazaros Iliadis

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

  • Master Degree in Cyber Security and Big Data2017- ongoing

    University of Thessaly, School of Science, Department of Computer Science and Biomedical Informatics
    Supervisor:

    Master Thesis:
    Cyber Security and Big Data

  • Master Degree in Communication & Computer Networking Technologies2012

    University of the Aegean, School of Engineering, Department of Information and Communication Systems Engineering
    Supervisor: Prof Charalabos Skianis

    Master Thesis: "Conceptual Framework, Interoperability, Active Standards & Network Architecture for Smart Energy Grids"

  • Bachelor Degree1996

    Non-Commissioned Officers Academy

    Non-Commissioned Officers Academy

  • 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)

Work Experience

  • Postdoctoral Research Fellow2017 - Present

    Democritus University of Thrace, School of Engineering, Department 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

  • Part-time Lecturer2017 - Present

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

    Part-time Lecturer Computer and Informatics Engineering Department, Eastern Macedonia & Thrace Institute of Technology

  • Part-time Lecturer2017 - Present

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

    Part-time Lecturer Department of Business Administration, Eastern Macedonia & Thrace Institute of Technology

  • Laboratory Research Assistant2015 - Present

    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 - Present

    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

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

Professional Societies & Affiliations

  • 1) Expert and Εvaluator of the General Secretariat for Research and Technology (GSRT) to the Ministry of Education, Research and Religious Affairs of Greece
    2) Expert and Εvaluator of the Cyprus Research Promotion Foundation's Programme for Technological Development and Innovation
    3) Expert and Evaluator of the European Commission INNovative LABS (INNOLABS) project
    4) Member of Web Services and Cyber Security Lab at the Computer and Informatics Engineering of the Eastern Macedonia & Thrace Institute of Technology
    5) Member of Computer and Information Systems Security Group of Greek Free/Open Source Software Society
    6) Member of Hellenic Artificial Intelligence Society
    7) Scientific Research Partner of the Labour Institute of the Greek General Confederation of Labour (INE/GSEE)
    8) Cyber Security Forum Initiative (CSFI) Volunteer

Reviewer in International Scientific Journals

  • 1) Evolving Systems, Springer
    2) Telecommunication Systems, Springer
    3) Frontiers of Information Technology & Electronic Engineering, Springer
    4) Information Sciences, Elsevier
    5) Applied Soft Computing, Elsevier
    6) Neurocomputing, Elsevier
    7) Environmental Management, Elsevier
    8) Knowledge-Based Systems, Elsevier
    9) Swarm and Evolutionary Computation, Elsevier
    10) Cryptography, Open Access Journal by MDPI
    11) Frontiers of Information Technology & Electronic Engineering (JZUS-C)
    12) Advances in Networks (NET), Science Publishing Group
    13) Automation, Control and Intelligent Systems (ACIS), Science Publishing Group
    14) International Journal of Intelligent Information Systems (IJIIS), Science Publishing Group

Reviewer and Program Committee

  • 1) 16th International Conference on Engineering Applications of Neural Networks (EANN 2015), Island of Rhodes, Greece, 25-28 September 2015
    2) 17th International Conference on Engineering Applications of Neural Networks (EANN 2016), September 2nd - 5th, 2016, Robert Gordon University, Aberdeen
    3) 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2016), Thessaloniki, Greece 16-18 September 2016
    4) International Neural Network Society Conference on Big Data (INNS Big Data conference 2016), Thessaloniki, Greece 23-25 October 2016
    5) 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, Alaska, USA, May 14–19, 2017
    6) 18th International Conference onEngineering Applications of Neural Networks (EANN 2017), August 25-27, 2017, Athens, Greece
    7) 13th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2017), August 19-25, 2017, Melbourne, Australia
    8) The 3rd International Conference on Fuzzy Systems and Data Mining, November 24-27, 2017, National Dong Hwa University, Hualien, Taiwan
    9) 2018 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA 2018), 3-5 of July 2018, Thessaloniki, Greece
    10) The 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018), 25 - 27 May, Rhodes, Greece
    11) The International Conference on Artificial Neural Networks (ICANN 2018), 05 - 07 Oct, Rhodes, Greece
    12) The Fourth International Conference on Big Data, Small Data, Linked Data and Open Data (ALLDATA 2018), April 22, 2018 to April 26, 2018 - Athens, Greece
    13) 2018 IEEE World Congress on Computational Intelligence (WCCI 2018) ---2018 International Joint Conference on Neural Networks (IJCNN 2018), the 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), and the 2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018)---, 08-13 July 2018, Rio de Janeiro, Brazil

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

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

Machine Learning

  • Matlab

  • Weka

  • R

  • Scikit-Learn

  • PyBrain

  • Ersatz

  • HeuristicLab

  • GMDH Software

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

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

Book Chapters

  • 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, read more

  • Air Quality Data Analytics: Fast and Low Resources Computational Intelligence Forecasting ApproachIlias Bougoudis, Konstantinos Demertzis, Lazaros Iliadis

    MACHINE LEARNING PARADIGMS – Advances in Data Analytics, Springer, INTELLIGENT SYSTEMS REFERENCE LIBRARY bookseries (in progress), read more

Journals

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

    Overcoming “Big Data” Barriers in Machine Learning Techniques for the Real-Life Applications, Hindawi, (in progress), read more

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

    Iliadis, L., Anezakis, V., Demertzis, K., & Mallinis, G. (2017). Hybrid Unsupervised Modeling of Air Pollution Impact to Cardiovascular and Respiratory Diseases. International Journal of Information Systems for Crisis Response and Management (IJISCRAM), 9(3), 13-35. doi:10.4018/IJISCRAM.2017070102, read more

  • Applying an Ensemble “Kappa” Architecture Framework for Smart Grids Protection Against Advanced Persistent ThreatsKonstantinos Demertzis, Nikolaos Tziritas, Panayiotis Kikiras

    Big Data and Cognitive Computing, MDPI, (in progress), read more

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

    Big Data and Cognitive Computing, MDPI, (in progress), read more

  • The Next Generation Cognitive Computing SOC: Network Flow Forensics Using Cybersecurity IntelligenceKonstantinos Demertzis, Panayiotis Kikiras, Nikolaos Tziritas

    Big Data and Cognitive Computing, MDPI, (in progress), read more

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

    Journal of Information and Telecommunication" (JIT), Taylor & Francis, (in progress), read more

  • Critical Infrastructure Protection from Advanced Persistent Threats: A Semi-Supervised Unary Anomaly Detection Framework Konstantinos Demertzis, Lazaros Iliadis, Ilias Bougoudis

    Neural Computing and Applications, Springer, (in progress), read more

  • Requirements, limitations and causal arguments on Ensemble models in Machine Learning: The case of Alien Species Distribution ModellingKonstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis

    Demertzis K, Iliadis L and Anezakis V (2017). Requirements, limitations and causal arguments on Ensemble models in Machine Learning: The case of Alien Species Distribution Modelling . Front. Environ. Sci. 5:85. doi: 10.3389/fenvs.2017.00085, Frontiers in Environmental Science, Frontiers Media, read more

  • Atmospheric Pollution-Climate Change Data Mining using Hybrid Soft ComputingVardis-Dimitris Anezakis, Lazaros Iliadis, Konstantinos Demertzis, Stefanos Spartalis

    Transactions on Computational Collective Intelligence, Springer (in progress), read more

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

    Journal of Computations and Modelling, Scienpress Ltd (in progress), read more

  • Comparative Analysis of Exhaust Emissions caused by Chainsaws with Soft Computing and Statistical ApproachesVasiliki Dimou, Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros Iliadis

    Dimou, V., Anezakis, VD., Demertzis, K. et al. Int. J. Environ. Sci. Technol. (2017). https://doi.org/10.1007/s13762-017-1555-0 read more

  • Hybrid Intelligent Modeling of Wild Fires RiskVardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros Iliadis and Stefanos Spartalis

    Anezakis, VD., Demertzis, K., Iliadis, L. et al. Evolving Systems (2017). https://doi.org/10.1007/s12530-017-9196-6, read more

  • FuSSFFra, a Fuzzy Semi-Supervised Forecasting Framework: The Case of the Air Pollution in AthensIlias Bougoudis, Konstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas

    Bougoudis, I., Demertzis, K., Iliadis, L. et al. Neural Comput & Applic (2017). https://doi.org/10.1007/s00521-017-3125-2, read more

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

    Modern Discrete Mathematics and Analysis With Applications in Cryptography, Springer DOI 10.1007/978-3-319-74325-7, read more

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

    special Nova book entitled Cryptography, Cyber-Security and Information Warfare, NOVA publishers (in progress), read more

  • 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, read more

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

    Demertzis, K. & Iliadis, L. Vietnam Journal of Computer Science - Springer (2017) 4: 245. https://doi.org/10.1007/s40595-017-0095-3, read more

  • Detecting Invasive Species with a Bio-Inspired Semi Supervised Neurocomputing Approach: The Case of Lagocephalus SceleratusKonstantinos Demertzis, Lazaros Iliadis

    Demertzis, K. & Iliadis, L. Neural Comput & Applic (2017) 28: 1225. https://doi.org/10.1007/s00521-016-2591-2, read more

  • Fast and Low Cost Prediction of Extreme Air Pollution Values with Hybrid Unsupervised LearningIlias Bougoudis, Konstantinos Demertzis, Lazaros Iliadis

    Integrated Computer-Aided Engineering, vol. 23, no. 2, pp. 115-127, 2016, DOI: 10.3233/ICA-150505, IOS Press, read more

  • Machine learning use in predicting interior spruce wood density utilizing progeny test informationKonstantinos Demertzis, Lazaros Iliadis, Stavros Avramidis, Yousry A. El-Kassaby

    Demertzis, K., Iliadis, L., Avramidis, S. et al. Neural Comput & Applic (2017) 28: 505. https://doi.org/10.1007/s00521-015-2075-9, read more

  • HISYCOL a Hybrid Computational Intelligence System for Combined Machine Learning: The case of Air Pollution Modeling in AthensIlias Bougoudis, Konstantinos Demertzis, Lazaros Iliadis

    Bougoudis, I., Demertzis, K. & Iliadis, L. Neural Comput & Applic (2016) 27: 1191. https://doi.org/10.1007/s00521-015-1927-7, read more

  • 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, read more

  • 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, read more

Conferences

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

    The 27th International Conference on Artificial Neural Networks (ICANN 2018), 5th – 7th October, 2018, Rhodes, Greece, (in progress), read more

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

    The 2018 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA 2018), Thessaloniki, Mediterranean Palace Hotel, 3-5 July 2018, (in progress), read more

  • Personal Data Processing Consent and Withdrawal in the IoT EcosystemKonstantinos Rantos, George Drosatos, Konstantinos Demertzis, Christos Ilioudis, Alexandros Papanikolaou

    11th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec 2018), June 18 - 20, 2018 Stockholm, Sweden, (in progress), read more

  • Hybrid Intelligent Forecasting of Cardiovascular and Respiratory Diseases Using Climate Change Scenarios: the case of ThessalonikiVardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros Iliadis, Georgios Mallinis

    2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018), May 25-27, 2018 Rhodes island Greece, (in progress), read more

  • 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, read more

  • 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, read more

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

    15th International Conference οf Numerical Analysis αnd Applied Mathematics (ICNAAM 2017), The MET Hotel, Thessaloniki, Greece, 25-30 September 2017, (in progress), read more

  • 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, read more

  • 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, read more

  • 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, read more

  • 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, read more

  • 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, read more

  • 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, read more

  • 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, read more

  • 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. Communications in Computer and Information Science, vol 517. Springer, Cham, read more

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

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