Konstantinos Demertzis

BSc, MSc, PhD

Part-time Lecturer, Computer and Informatics Engineering Department, Eastern Macedonia & Thrace Institute of Technology - Research Assistant on Democritus University of Thrace

Education and Training

  • PhD2017

    Democritus University of Thrace

    Development of Intelligent Models and respective Information Systems, inspired by Biological prototypes, aiming in the assessment of Environmental Problems and Risks
    Department of Forestry and Management of the Environment and Natural Resources (Lab of Forest-Environmental Informatics and Computational Intelligence), DUTH Orestiada (Greece)

  • Master Degree2012

    University of the Aegean

    Communication & Computer Networking Technologies
    Department of Information and Communication Systems Engineering, School of Sciences, University of the Aegean, Samos (Greece)

  • Bachelor Degree1996

    Hellenic Army School of Staff Non-Commissioned Officers

    Hellenic Army School of Staff Non-Commissioned Officers, Trikala (Greece)

  • 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

  • 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

  • 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

Professional Societies & Affiliations

  • 1) Coordinator of Computer and Information Systems Security Group of Greek Free/Open Source Software Society
    2) Independent Technical Expert of the Eurostars Programme by European Union
    3) Member of Hellenic Artificial Intelligence Society
    4) Scientific Research Partner of the Labour Institute of the Greek General Confederation of Labour (INE/GSEE)
    5) Cyber Security Forum Initiative (CSFI) Volunteer

Reviewer in International Scientific Journals

  • 1) Evolving Systems, Springer
    2) Information Sciences, Elsevier
    3) Telecommunication Systems, Springer
    4) Advances in Networks (NET), Science Publishing Group
    5) Automation, Control and Intelligent Systems (ACIS), Science Publishing Group
    6) International Journal of Intelligent Information Systems (IJIIS), Science Publishing Group

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

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

  • 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

    Handbook of Climate Change Communication, Springer (in progress), 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

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

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

  • Automated Prevention of Phishing Attacks with Machine Learning Web Application Firewall and GPOsKonstantinos Demertzis and Lazaros Iliadis

    International Journal of Computation, Cryptography and Network Security, Springer (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

    International Journal of Environmental Science and Technology (JEST), Springer (in progress), read more

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

    Evolving Systems, DOI: 10.1007/s12530-017-9196-6, Springer, 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

    Neural Computing and Applications, DOI 10.1007/s00521-017-3125-2, Springer, read more

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

    special Springer book entitled MODERN DISCRETE MATHEMATICS AND ANALYSIS: With Applications in Cryptography, Information Systems, and Modelling, Springer (in progress), 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

    Special Issue on "Artificial Intelligence Techniques for the Smart Grid" at the journal of Advances in Building Energy Research, DOI:10.1080/17512549.2017.1325401, Taylor & Francis, read more

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

    Special Issue on Springer Journal "Vietnam Journal of Computer Science (VJCS)" Springer Publishing, DOI 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

    Special issues Neural Computing and Applications journal by Springer, DOI :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

    Neural Computing and Applications, DOI: 10.1007/s00521-015-2075-9, Springer International Publishing, 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

    EANN, Neural Computing and Applications, pp 1-16, DOI 10.1007/s00521-015-1927-7, Springer International Publishing, read more

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

    Computation, Cryptography, and Network Security pp 161-193, Computation, Cryptography, and Network Security, DOI 10.1007/978-3-319-18275-9_7, Springer International Publishing, 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 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 PollutionVardis-Dimitris Anezakis, Lazaros Iliadis, Konstantinos Demertzis, Georgios Mallinis

    The Fourth International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries (ISCRAM-med 2017), Xanthi Greece (Polytechic School Campus – Democritus University of Thrace), Greece, October, 18-20, 2017, (in progress), read more

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

    18th International Conference on Engineering Applications of Neural Networks (EANN'2017), Athens, Greece, August 25-27, 2017, 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, DOI https://doi.org/10.1007/978-3-319-65172-9_1 read more

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

    International Neural Network Society Conference on Big Data (INNS Big Data 2016), Thessaloniki, Greece 23-25 October 2016. Proceedings, Advances in Big Data Volume 529 of the series Advances in Intelligent Systems and Computing pp 333-345, DOI:10.1007/978-3-319-47898-2_34, Springer, read more

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

    12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2016), Thessaloniki, Greece 16-18 September 2016, DOI: 10.1007/978-3-319-44944-9_17, In book: Artificial Intelligence Applications and Innovations, pp.191-203, Springer, read more

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

    17th International Conference on Engineering Applications of Neural Networks (EANN 2016), Robert Gordon University, Aberdeen, UK, September 2nd - 5th, 2016. Proceedings, Engineering Applications of Neural Networks Volume 629 of the series Communications in Computer and Information Science pp 51-63, DOI 10.1007/978-3-319-44188-7_4, Springer, 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

    8th International Conference on Computational Collective Intelligence (ICCCI 2016), Halkidiki, Greece, 28th-30th September 2016. Proceedings, Computational Collective Intelligence Volume 9875 of the series Lecture Notes in Computer Science pp 175-186, DOI:10.1007/978-3-319-45243-2_16, Springer, read more

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

    Engineering Applications of Neural Networks, Volume 517 of the series Communications in Computer and Information Science pp 89-99, 16th International Conference, EANN 2015, Rhodes, Greece, September 25-28 2015.Proceedings, DOI 10.1007/978-3-319-23983-5_9, Springer International Publishing, read more

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

    Computational Collective Intelligence, Volume 9330 of the series Lecture Notes in Computer Science pp 235-245, 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II, DOI 10.1007/978-3-319-24306-1_23, Springer International Publishing, read more

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

    Statistical Learning and Data Sciences Volume 9047 of the series Lecture Notes in Computer Science pp 223-233, Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings, DOI 10.1007/978-3-319-17091-6_17, Springer International Publishing, read more

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

    Proceedings of 9th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2014), Limassol, Cyprus, ISBN: 978-9963-700-84-4, DOI: 10.1007/978-3-319-27478-2_20, In book: Knowledge, Information and Creativity Support Systems, pp.289-304, read more

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

    Advanced Information Systems Engineering Workshops Volume 178 of the series Lecture Notes in Business Information Processing pp 322-334, CAiSE 2014 International Workshops, Thessaloniki, Greece, June 16-20, 2014. Proceedings, DOI 10.1007/978-3-319-07869-4_30, Springer International Publishing, read more

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

    E-Democracy, Security, Privacy and Trust in a Digital World Volume 441 of the series Communications in Computer and Information Science pp 11-23, 5th International Conference, E-Democracy 2013, Athens, Greece, December 5-6, 2013, Revised Selected Papers, DOI 10.1007/978-3-319-11710-2_2, Springer International Publishing, read more

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

    3η Επιστημονική Διημερίδα στην Περιβαλλοντική Πολιτική και Φιλοσοφία, Ορεστιάδα, 12-13/5/2015, Θέματα Δασολογίας & Διαχείρισης Περιβάλλοντος & Φυσικών Πόρων, 7ος τόμος, Κλιματική Αλλαγή: Διεπιστημονικές Προσεγγίσεις, ISSN: 1791-7824, ISBN: 978-960-9698-11-5, read more

  • 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 read more

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

    2ο Πανελλήνιο Συνέδριο Ιστορίας και Πολιτισμού της Ορεστιάδας, Ορεστιάδα, 13-15/10/2017, (in progress), read more

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