World's Best Scientists 2026 revealed!
Chrysostomos D. Stylios

Chrysostomos D. Stylios

D-Index & Metrics

Computer Science

D-Index
39
Citations
7199
World Ranking
9684
National Ranking
74

Overview

Chrysostomos D. Stylios is affiliated with the University of Ioannina in Greece. Their research spans multiple domains within computer science and engineering, focusing primarily on areas such as artificial intelligence, computer networks, and industrial engineering.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these broad fields, they have contributed to several specialized subfields, including:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Industrial and Manufacturing Engineering
  • Information Systems
  • Electrical and Electronic Engineering

The topics that frequently appear in their research cover a range of interdisciplinary themes such as:

  • Digital Transformation in Industry
  • Cognitive Science and Mapping
  • IoT and Edge/Fog Computing
  • Educational Games and Gamification
  • Multi-Criteria Decision Making
  • E-Learning and Knowledge Management
  • Cognitive Computing and Networks

Among their recent papers are the following:

  • "Deep machine learning for structural health monitoring on ship hulls using acoustic emission method," published in 2020 in Ships and Offshore Structures
  • "Role of Academics in Transferring Knowledge and Skills on Artificial Intelligence, Internet of Things and Edge Computing," published in 2022 in Sensors
  • "Design, Development, and Evaluation of a Virtual Reality Serious Game for School Fire Preparedness Training," published in 2022 in Education Sciences
  • "Challenges and Opportunities in Industry 4.0 for Mechatronics, Artificial Intelligence and Cybernetics," published in 2021 in Electronics
  • "Industrial Needs in the Fields of Artificial Intelligence, Internet of Things and Edge Computing," published in 2022 in Sensors

Their frequent co-authors include:

  • Evangelos D. Spyrou (12 joint publications)
  • Petros Karvelis (11 joint publications)
  • Ioannis G. Tsoulos (11 joint publications)
  • Marios Tyrovolas (9 joint publications)
  • Athanasios Christopoulos (9 joint publications)

Chrysostomos D. Stylios has contributed extensively to several academic journals and conferences. The venues where their work appears most often are:

  • Sustainability (5 publications)
  • IFAC-PapersOnLine (5 publications)
  • Information (4 publications)
  • Sensors (3 publications)
  • Applied Sciences (3 publications)

Best Publications

  • Modeling complex systems using fuzzy cognitive maps

    C.D. Stylios;P.P. Groumpos

  • Active Hebbian learning algorithm to train fuzzy cognitive maps

    Elpiniki Papageorgiou;Chrysostomos D. Stylios;Peter P. Groumpos

  • Fuzzy Cognitive Map Learning Based on Nonlinear Hebbian Rule

    Elpiniki Papageorgiou;Chrysostomos D. Stylios;Peter P. Groumpos

  • Fuzzy Cognitive Maps in modeling supervisory control systems

    Chrysostomos D. Stylios;Peter P. Groumpos

  • A fuzzy cognitive map approach to differential diagnosis of specific language impairment

    Voula C Georgopoulos;Georgia A Malandraki;Chrysostomos D Stylios

  • Fuzzy cognitive map architectures for medical decision support systems

    Chrysostomos D. Stylios;Voula C. Georgopoulos;Georgia A. Malandraki;Spyridoula Chouliara

  • Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links

    Elpiniki I. Papageorgiou;Chrysostomos Stylios;Peter P. Groumpos

  • Brain tumor characterization using the soft computing technique of fuzzy cognitive maps

    E. I. Papageorgiou;P. P. Spyridonos;D. Th. Glotsos;C. D. Stylios

  • An integrated two-level hierarchical system for decision making in radiation therapy based on fuzzy cognitive maps

    E.I. Papageorgiou;C.D. Stylios;P.P. Groumpos

  • Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization

    Elpiniki I. Papageorgiou;Konstantinos E. Parsopoulos;Chrysostomos S. Stylios;Petros P. Groumpos

  • Modelling supervisory control systems using fuzzy cognitive maps

    Peter P. Groumpos;Chrysostomos D. Stylios

  • Bearing fault detection based on hybrid ensemble detector and empirical mode decomposition

    George Georgoulas;Theodore Loutas;Chrysostomos D. Stylios;Vassilis Kostopoulos

  • The challenge of modelling supervisory systems using fuzzy cognitive maps

    Chrysostomos D. Stylios;Peter P. Groumpos

  • Using nonlinear features for fetal heart rate classification

    J. Spilka;V. Chudáček;M. Koucký;L. Lhotská

  • Fuzzy cognitive maps: a model for intelligent supervisory control systems

    Chrysostomos D. Stylios;Peter P. Groumpos

  • Advanced soft computing diagnosis method for tumour grading

    E. I. Papageorgiou;P. P. Spyridonos;C. D. Stylios;P. Ravazoula

  • A Soft Computing Approach for Modelling the Supervisor of Manufacturing Systems

    C. D. Stylios;P. P. Groumpos

  • Mathematical Formulation of Fuzzy Cognitive Maps

    Chrysostomos D. Stylios;Peter P. Groumpos

  • Realizing Virtual Reality Learning Environment for Industry 4.0

    Vasiliki Liagkou;Dimitrios Salmas;Chrysostomos Stylios

  • Fuzzy cognitive maps: a soft computing technique for intelligent control

    C. Stylios;P.P. Groumpos

  • Fuzzy Cognitive Maps

    E. I. Papageorgiou;C. D. Stylios

  • Introducing the theory of fuzzy cognitive maps in distributed systems

    C.D. Stylios;V.C. Georgopoulos;P.P. Groumpos

Frequent Co-Authors

Peter P. Groumpos
Peter P. Groumpos University of Patras
Elpiniki I. Papageorgiou
Elpiniki I. Papageorgiou University Of Thessaly
Jose A. Antonino-Daviu
Jose A. Antonino-Daviu Universitat Politècnica de València
George Nikolakopoulos
George Nikolakopoulos Luleå University of Technology
Vladik Kreinovich
Vladik Kreinovich The University of Texas at El Paso
Maria Pia Fanti
Maria Pia Fanti Polytechnic University of Bari
David B. Rye
David B. Rye Emory University
Walter Ukovich
Walter Ukovich University of Trieste
Maurizio Bevilacqua
Maurizio Bevilacqua Marche Polytechnic University
Antero Arkkio
Antero Arkkio Aalto University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Expanding your knowledge in computer science opens doors to a range of related disciplines. Many students consider pursuing additional online degrees in fields like engineering, physics, and data science to broaden their career pathways and skill sets.

If you’re interested in engineering, exploring an online mechanical engineering degree can complement your technical expertise and prepare you for roles in diverse industries. Similarly, adding analytical and scientific depth through an online physics degree can enhance your understanding of computational methods and problem-solving.

With the rising demand for data analysis in technology fields, many computer science graduates look for the cheapest data science masters in usa to further specialize and stay competitive. For those interested in electronics, comparing electrical engineering online tuition costs helps you choose the most affordable pathway to a high-demand industry.

Exploring these related online degrees can provide specialized skills and diverse career opportunities, helping you tailor your educational journey to fit your goals.

Best Scientists Citing Chrysostomos D. Stylios

Trending Scientists