About Me

A small reminder that technology and nature should coexist.

Welcome! I am an Associate Professor in the Department of Electrical and Computer Engineering at the University of Patras, Greece, and Director of the Interactive Technologies Laboratory. I serve as an Expert Member of the International Federation for Information Processing (IFIP), contributing to Technical Committee TC13 on Human–Computer Interaction.

I lead multidisciplinary research at the intersection of Human-Centred AI, Cognitive Modelling, Usable Security, and Brain–Computer Interfaces. My research vision is to personalize information systems and digital experiences by incorporating individual and cultural differences in human cognition into secure, adaptive information systems — evolving from modelling user behaviour in cyber security tasks, to cognitive personalization and brain–computer interfaces.

I am also Founder and Director of the University of Patras Neuroengineering and Brain–Computer Interfaces Research Infrastructure. Ultimately, my research led to the establishment of a High-Performance Computing infrastructure providing the computational foundation for my long-term vision of next-generation Human-Centred AI.

My research has attracted more than 7M€ in competitive funding, earning international recognition through its scholarly impact (h-index: 30; i10-index: 78), competitive research awards, international collaborations, and media coverage highlighting its societal impact. Outside the lab, I've developed a soft spot for sea turtles 🐢 — mostly because, unlike deadlines and grant reviews, they never seem to be in a hurry.

Find me on: Google Scholar | ACM Digital Library | DBLP | Scopus | ORCID | LinkedIn Profile | Email
Languages: German (fluent), English (fluent), Greek (native)
Interactive Technologies Laboratory - ECE Department - University of Patras Neuroengineering & Brain Computer Interface Research Infrustructure at UPatras University of Patras


Research Infrastructures

I am the founder and scientific coordinator of two multidisciplinary research infrastructures at the University of Patras, established to support cutting-edge research at the intersection of neurotechnology, artificial intelligence, human–computer interaction, and brain-aware interactive systems. Together, these infrastructures provide advanced neurophysiological sensing and experimental technologies—including EEG, fNIRS, eye-tracking, and XR—alongside high-performance GPU computing resources for large-scale AI and neurocognitive modelling. They provide a shared research environment for interdisciplinary collaboration across engineering, computer science, neuroscience, and medicine.

Neuroengineering & Brain–Computer Interfaces The Neuroengineering & Brain–Computer Interface (BCI) Research Infrastructure at the University of Patras is a multidisciplinary research facility established to support cutting-edge research in neurotechnology, brain–computer interfaces, cognitive neuroscience, and human-centred interactive systems. The infrastructure integrates advanced technologies for the multimodal study of human cognition and neurophysiological activity, including electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), eye tracking, and Extended Reality (XR). These technologies enable researchers to investigate cognitive and neural processes through synchronized multimodal measurements and to develop novel brain-aware and adaptive interactive systems. The infrastructure supports a broad spectrum of research, ranging from neurocognitive modelling and Brain–Computer Interfaces to cognitive biometrics, personalized user authentication, NeuroXR, and Human–AI interaction, while providing an experimental foundation for both fundamental and applied research. Its long-term vision is to establish a multidisciplinary neurotechnology research ecosystem at the University of Patras, enabling collaborative research, advanced experimentation, and the development of the next generation of intelligent, adaptive, and brain-aware technologies. Click here for more info.

High-Performance Computing The HPC system, named ā€œTyphon,ā€ provides a state-of-the-art high-performance computing infrastructure, specifically designed to support computationally intensive Artificial Intelligence, Machine Learning, and Large Language Model (LLM) workloads. It is powered by 8 latest-generation NVIDIA Ada Lovelace GPUs, providing a combined GPU memory capacity of approximately 400 GB, enabling the execution of large-scale models and demanding AI experiments. A distinctive feature of Typhon is its single-phase immersion cooling technology, which enables highly efficient thermal management even under sustained computational loads. This innovative cooling approach enhances system stability, energy efficiency, and hardware reliability, while significantly reducing the environmental and energy footprint associated with conventional data-center cooling infrastructures.
Typhon is fully operational,energy-efficient AI computing infrastructure, and deployed in a production environment, providing researchers with a powerful platform for LLM inference, experimentation, and the development of advanced AI-driven applications. The infrastructure currently supports the deployment of Mistral-Large-Instruct-2407, supporting both current research activities and future experimentation with increasingly complex foundation models and computationally demanding AI applications.

Project Coordinator & Principal Investigator

My research has attracted more than €7M in competitive funding as Principal Investigator and Project Coordinator.

EU Funded :: #neuroengineering #brain-computer interfaces #infrastructure #artifical intelligence
ELEVATE brings together the Neuroengineering and Brain-Computer Interfaces Research Infrastructure at the University of Patras (Coordinator), the Brain Data Group (University of Nottingham), and CYENS Centre of Excellence (Cyprus) to advance excellence in AI and neurotechnology, combining leading BCI expertise, advanced research infrastructure, and responsible AI innovation. The project will strengthen research capacity, support institutional reforms, boost digital and AI skills, and contribute to a Southern European hub of excellence aligned with the ERA Policy Agenda. (€ 4,406,875, 2026-2030, Project Coordinator & Principal Investigator). Funding Agency: European Excellence Initiative (EEI), WIDERA (Horizon Europe)


National and EU Funded :: #brain-computer interfaces #infrastructure #artifical intelligence
The Neuroengineering and Brain-Computer Interfaces Research Infrastructure at the University of Patras aims to provide academic researchers, students, and external partners with access to a wide range of systems for non-invasive brain and eye-activity measurement. With a focus on portable and versatile equipment, the infrastructure enables studies in naturalistic environments and supports interdisciplinary research across fields such as health sciences, engineering, education, business, and the humanities. (€265,000, 2025, Project Coordinator & Principal Investigator). Funding Agency: Greece 2.0 National Recovery and Resilience Plan & NextGenerationEU More info: Research Infrastructure Website


National and EU Funded :: #vishing #cybersecurity #artifical intelligence
Sub 1.1. Excellence CRES Call, Greece - Topic: Digital Technologies - CyberSecurity: Design, Development, and Evaluation of an Integrated Information System and Real-Time Services for the Detection of Telephone Fraud (Vishing) (€1,620,000, 2025-2027, Project Coordinator & Principal Investigator). Funding Agency: Hellenic Ministry of Education & NextGenerationEU. More info: Project Website


National Project AILA :: #phishing #cybersecurity #artifical intelligence #legal advice #information systems
Artificial Intelligence-driven Framework and Legal Advice Tools for Phishing Prevention and Mitigation in Information Systems (€160,000, 2023-2025, Project Coordinator & Principal Investigator ). Funding Agency: Hellenic Foundation for Research and Innovation (H.F.R.I.). More info: AILA Project Website


EU Project CREAMS :: #mixedreality #augmentedreality #virtualreality #artstudents #exhibitions
Scaffolding Creativity of Arts Students: Framework, Toolchain, and Educational Material on how to Create their Own Virtual Exhibitions (€382,644, 2022-2025, Project Coordinator & Principal Investigator ). Funding Agency: European Commission. More info: CREAMS Project Website


National Project CogniX :: #electroencephalography #eyetracking #cognition
Electroencephalography and Eye Gaze-driven Framework for Intelligent and Real-Time Human Cognitive Modelling (€194,295, 2022-2024, Project Coordinator & Principal Investigator ). Funding Agency: Hellenic Foundation for Research and Innovation (H.F.R.I.). More info: COGNIX Project Website


EU Project TRUSTID :: #cybersecurity #userauthentication #biometrics
Intelligent and Continuous Online Student Identity Management for Improving Security and Trust in European Higher Education Institutions (€291,310, 2021-2023, Project Coordinator & Principal Investigator ). Funding Agency: European Commission. More info: TRUSTID Project Website


National Project DeAR Museum :: #mixedreality #virtualreality #culturalheritage
Development and production of augmented and virtual reality applications supporting narrative tours at the Tomato Industrial Museum in order to convey a personalized experience to the visitors of an old factory (€300,000, 2021-2023, Principal Investigator). Funding Agency: Research-Create-Innovate. More info: DeAR Museum Project Website


Highlights

[CyberASPIS receives national media coverage for AI-driven voice-phishing detection - June 2026]
The CyberASPIS project has attracted considerable media attention. The coverage highlights the use of Artificial Intelligence technologies for the real-time detection of telephone fraud (vishing), harassment and malicious communications, aiming to protect citizens from emerging social engineering threats. šŸ›”ļø Raising public awareness about cyber-vishing attacks is just as important as developing AI-driven technologies for real-time protection. We are glad to see our research continuing to reach and inform a wider audience.

Media Coverage * Kathimerini (15 June 2026) | * Patris.gr (16 June 2026) | * Pelop.gr (24 August 2026) | * ALPHA TV (17 June 2026) | * STAR TV (18 June 2026) | * IONIAN TV (26 August 2026)

  • Research Background:
  • Kosmopoulos D., Thomopoulos G., Fidas C., ā€œReal-Time Voice Phishing Detection Using Large Language Models: An Explainable, Psychology-Grounded Framework for Automated Vishing Analysisā€, Technical Report, University of Patras, 2026.

  • CyberASPIS Final Event: Presentation and Evaluation Workshop
  • On May 22nd, the final presentation and evaluation workshop of the CyberASPIS project was successfully held, bringing together researchers, industry representatives, legal experts, public stakeholders, and members of the academic community. The full workshop recording is available here.

    [High Performance Computing (HPC) infrastructure - April 2026] We are excited to announce the launch of a High-Performance Computing (HPC) system, significantly enhancing our research and applied capabilities in Artificial Intelligence (AI) and Machine Learning (ML).
    šŸ”¹The system delivers cutting-edge computational power powered by next-generation GPUs (Ada Lovelace architecture with a total of 192 GB GPU memory), with scalability up to approximately 2 TB of GPU memory, supporting demanding AI and HPC workloads. It is complemented by multi-core Intel Xeon Scalable processors, high-capacity memory (≄512 GB DDR5), ultra-fast NVMe storage, and high-performance networking (≄25 GbE), forming a robust and scalable computing environment.
    šŸ”¹Importantly, the system achieves a very low energy footprint (PUE < 1.2), enabled by advanced single-phase immersion cooling technology (open bath), ensuring high energy efficiency and operational reliability.
    šŸ”¹This infrastructure unlocks new opportunities for developing and training advanced machine learning and deep learning models, supporting computationally intensive applications, enabling real-time big data analytics, and fostering interdisciplinary collaborations and research initiatives.
    Click here for more informarion


    [International Workshop - March 2026] I’m pleased to announce that from March 29th to April 3rd we are hosting the EESTEC LC Patras international workshop entitled "BrAIn's Anatomy: From Brain Signals to Insight". This event will bring together 11 participants from Universities across Europe and 9 local students to explore the intersection of brain signals and engineering. Designed especially for early-level Engineering students, this one-week workshop introduces participants to neurotechnology and the full data processing pipeline behind brain measurements.

    Throughout the week, participants will dive into:
    šŸ”¹ Neural data fundamentals and EEG signals — understanding their origin
    šŸ”¹ Signal processing and visualization techniques for interpreting brain activity
    šŸ”¹ AI applications in neural data — using machine learning to detect patterns
    šŸ”¹ Ethical and societal aspects of neurotechnology

    [New EU Horizon Project- March 2026] I’m pleased to announce that our project ELEVATE has entered the Grant Agreement Preparation phase, achieving a perfect 15/15 score and being selected among the top 17 proposals out of 267 submissions. ELEVATE brings together the Neuroengineering and Brain-Computer Interfaces Research Infrastructure at the University of Patras, the Brain Data Group (University of Nottingham), and CYENS Centre of Excellence (Cyprus) to advance excellence in AI and neurotechnology, combining leading BCI expertise, advanced research infrastructure, and responsible AI innovation. The project will strengthen research capacity, support institutional reforms, boost digital and AI skills, and contribute to a Southern European hub of excellence aligned with the ERA Policy Agenda.


    [Neuroengineering & BCI Infrastructure - October 2025] I’m pleased to share that I coordinate the Neuroengineering and Brain–Computer Interfaces Research Infrastructure at the University of Patras. The infrastructure is supported by the Deanships of the participating Schools— Engineering, Humanities and Social Sciences, Health Sciences, Health Rehabilitation Sciences, Business and Economics. Our aim is to provide academic researchers, students, and external partners with access to a broad suite of systems for non-invasive measurement of brain and eye activity. Emphasizing portable equipment, the infrastructure enables studies in naturalistic settings and supports ecological valid research activities.
    [Publication - June 2025] We’re excited to share that our paper "Strengthening Graphical Password Security Through EEG-Driven Classifiers Based on Image Content Familiarity" has been published at the International Journal of Human-Computer Interaction, 2026. - Impact Factor: 4.920
    Authors: Katoikos I., Fidas C. and Koukopoulos D. (2025)

    Abstract: The development of reliable authentication schemes faces significant challenges due to security vulnerabilities, like shoulder-surfing and impersonation attacks. In this article, we present a six-month in-lab study (N = 30), on a novel two-factor authentication prototype combining Microsoft’s Picture Gesture Authentication (PGA) with Electroencephalography (EEG). The premise of this study was to explore the users’ unique neural responses that are triggered during the authentication process to train individual AI models that would mitigate impersonation attacks. We also investigated whether users’ familiarity with the PGA’s background image affects the authentication accuracy. Participants completed 20 trials using familiar and unfamiliar background images. Results indicate that familiar stimuli and users’ muscle activity improve cognitive efficiency and authentication accuracy. Additionally, combining time-frequency domain features with Support Vector Machines, yielded optimal results. These findings highlight the potential of utilizing EEG-based technology in graphical authentication systems, offering secure and user-friendly alternatives to traditional methods.
    DOI: https://doi.org/10.1080/10447318.2025.2504195


    [Publication - ERCIM News - April 2025] CulturAI: Advancing Mixed Reality Art Experiences with Large Language Models
    We’re excited to share that our latest work has been published in ERCIM News- ā€œAI for Cultural Heritageā€. This publication highlights our efforts in combining AI and Mixed Reality to enrich cultural experiences. We explore how Large Language Models can enhance engagement with cultural heritage through intelligent interaction. By bridging Mixed Reality displays, real-time LLM-driven dialogue, and cultural storytelling, CulturAI demonstrates how technological innovation can expand access to the arts and transform learning experiences in museum and heritage contexts.
    Clieck here to read the article


    [Publication - EuroSec'25: Proceedings of the 18th European Workshop on Systems Security - March 2025] Enhancing Graphical Authentication with EEG: A Study on Neural Responses and AI-Driven Security
    Can brain activity enhance authentication? This study combines Microsoft’s Picture Gesture Authentication (PGA) with EEG, using neural responses to train AI models against impersonation attacks. Findings show that familiar images improve accuracy, muscle activity aids password input, and EEG features enhance security, paving the way for a more secure authentication.
    DOI: https://doi.org/10.1145/3722041.3723103



    [Publication - Oct 2024] ā€œThe Regulation of Large Language Models (LLMs) in Regulation (EU) 2024/1689 on Artificial Intelligence and the GDPRā€
    This study introduces the legal issues arising from the regulation of Large Language Models (LLMs) in Regulation (EU) 2024/1689 on Artificial Intelligence and the General Data Protection Regulation. It highlights that with technological advancements, the capabilities of dialogue models are continuously improving, allowing them to generate more accurate and complex responses. However, ethical and transparency issues remain regarding how they are used and the impacts they may have on society, especially concerning privacy protection and ensuring objectivity in the processing of personal data.ā€
    Download the article (in Greek)


    [Research Prototype - August 2024] ā€œCogniX: Electroencephalography and Eye Gaze-driven Framework for Intelligent and Real-Time Human Cognitive Modellingā€- Funding Agency: Hellenic Foundation for Research and Innovation (H.F.R.I.).

    We have finalized the research prototype at a TRL-4 of CogniX. This work investigates human cognitive styles and factors, which are essential for creating systems that adapt dynamically to individual users. By leveraging EEG and eye-gaze analysis, this approach enables a deeper understanding of user cognition, offering insights into how individuals process information and make decisions. Modeling these factors allows for the development of personalized user interfaces, facilitating more effective information processing and tailored decision support. These cognitive models further inform the design of user experiences that cater to diverse cognitive styles, a valuable strategy across educational and cultural domains, where adaptable interaction with information systems enhances engagement and personalization.

    For more technical information about COGNIX: https://www.youtube.com/watch?v=9ehlT7HXVOo
    For a demonstration of COGNIX: https://www.youtube.com/watch?v=IdNHDSn0gxA
    To access the COGNIX open-source code: https://github.com/CogniX-UP


    [Best Demo Paper Award - July 2024] We received the ACM UMAP Best Demo Award of 2024 for our paper entitled "CulturAI: Exploring Mixed Reality Art Exhibitions with Large Language Models for Personalized Immersive Experiences": ACM - Digital Library.
    Abstract: Mixed Reality (MR) technologies have transformed the way in which we interact and engage with digital content, offering immersive experiences that blend the physical and virtual worlds. Over the past years, there has been increasing interest in employing Artificial Intelligence (AI) technologies to improve user experience and trustworthiness in cultural contexts. However, the integration of Large Language Models (LLMs) into MR applications within the Cultural Heritage (CH) domain is relatively underexplored. In this work, we present an investigation into the integration of LLMs within MR environments, focusing on the context of virtual art exhibitions. We implemented a HoloLens MR application, which enables users to explore artworks while interacting with an LLM through voice. To evaluate the user experience and perceived trustworthiness of individuals engaging with an LLM-based virtual art guide, we adopted a between-subject study design, in which participants were randomly assigned to either the LLM-based version or a control group using conventional interaction methods. The LLM-based version allows users to pose inquiries about the artwork displayed, ranging from details about the creator to information about the artwork’s origin and historical significance. This paper presents the technical aspects of integrating LLMs within MR applications and evaluates the user experience and perceived trustworthiness of this approach in enhancing the exploration of virtual art exhibitions. Results of an initial evaluation provide evidence about the positive aspect of integrating LLMs in MR applications. Findings of this work contribute to the advancement of MR technologies for the development of future interactive personalized art experiences.
    https://doi.org/10.1145/3631700.3664874


    [Publication - March 2024] "A Systematic Review and Research Challenges on Phishing Cyberattacks from an Electroencephalography and Gaze-based perspective", co-authored by George Thomopoulos and Dr. Lyras Dimitrios, in Personal Ubiquitous Computing - Springer.

    Abstract: Phishing is one of the most important security threats in modern Information Systems causing different levels of damages to end-users and service providers such as financial and reputational losses. State-of-the-art anti-phishing research is highly fragmented and monolithic and does not address the problem from a pervasive computing perspective. In this survey, we aim to contribute to the existing literature by providing a systematic review of existing experimental phishing research that employs EEG and eye-tracking methods within multi- modal and multi-sensory interaction environments. The main research objective of this review is to examine articles that contain results of at least one EEG-based and/or eye-tracking based experimental setup within a phishing context. The database search with specific search criteria yielded 651 articles from which, after the identification and the screening process, 42 articles were examined as per the execution of experiments using EEG or eye-tracking technologies in the context of phishing. This survey is approaching the subject across the following pillars: a) the experimental design practices with an emphasis on the applied EEG and eye- tracking acquisition protocols; b) the artificial intelligence and signal preprocessing techniques that were applied in those experiments and finally c) the phishing attack types examined. We also provide a roadmap for future research in the field by suggesting ideas on how to combine state-of-the-art gaze-based mechanisms with EEG technologies for advancing phishing research. This leads to a discussion on the best practices for designing EEG and Gaze-based frameworks.


    [Publication - January 2024] " A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment", in IEEE Access journal. We are grateful for the support provided by the Hellenic Foundation for Research and Innovation (H.F.R.I.). (Grant Number: 3849 - Eye Gaze driven Framework for Intelligent and Real-Time Human Cognitive Modeling - CogniX).

    Abstract: Preprocessing electroencephalographic (EEG) signals during computer-mediated Cognitive Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly influences subsequent EEG analysis and the efficacy of Artificial Intelligence (AI) models employed in Cognitive Load Assessment. Consequently, it stands as an indispensable procedure for developing dependable systems capable of adapting to users’ cognitive capacities and constraints. We systematically analyzed fifty-seven (57) research papers on computer-mediated Cognitive Load EEG experiments published between 2018 and 2023. The preprocessing methods identified were multiple, controversial, and strongly dependent on the particularities of each experiment and the derived experimental dataset. Our investigation involved the meticulous classification of preprocessing methods based on distinct parameters, namely the degree of user intervention, the noise level, and the subject pool size. Particular attention was paid to semi-automated denoising technology since conventional methods, advanced approaches, and standardized pipelines overwhelm research, but no optimum solution is available yet. This survey is anticipated to provide a valuable contribution to the rising demand for an efficient and fully automated preprocessing approach in EEG-based computerized Cognitive Load experiments.


    [click here to view more posts]

    Patents

    • Greek Industrial Property Organisation (OVI): Methods and tools to support and monitor in real time visitors of the World Wide Web (N. Patent No. 1004805.OVI, INT. CL G06F 17/60, g06f 15/163)

    Honors and Awards

    • ACM UMAP 2024 Best Demo Award of 2024 (July 2024)
      Research paper entitled "CulturAI: Exploring Mixed Reality Art Exhibitions with Large Language Models for Personalized Immersive Experiences"
    • UMUAI James Chen Award for Best Paper of 2019 (November 2020)
      Research paper entitled "A Cognition-centered Personalization Framework for Cultural Heritage Content"
    • Seal of Excellence - Horizon 2020 Marie Sklodowska-Curie actions call H2020-MSCA-IF-2016
      For a high-quality project proposal in a highly competitive evaluation process, namely CogniPass - Cognition - based Personalised Authentication SchemeS [Seal of Excellence]
    • Best Paper Nomination Award and Honourable Mention at UMAP 2014 Conference (July 2014)
      Research paper entitled "A Personalisation Method based on Human Factors for Improving Usability of User Authentication Tasks"
    • Best Paper Award at SouthCHI 2013 Conference (July 2013)
      Research paper entitled "Towards the Personalization of CAPTCHA Mechanisms based on Individual Differences in Cognitive Processing"

    Publications

    Journals (Selected Publications). Please see a full list of publications in Google Scholar
    Taylor & Francis IJHCI
    Strengthening Graphical Password Security Through EEG-Driven Classifiers Based on Image Content Familiarity
    Katoikos I., Fidas C. and Koukopoulos D.
    International Journal of Human-Computer Interaction, Taylor & Francis, 2026 - Impact Factor: 4.920
    DOI: https://doi.org/10.1080/10447318.2025.2504195
    Journal of Cultural Heritage, Elsevier
    From Physical to Virtual Art Exhibitions and Beyond: Survey and some Issues for Consideration for the Metaverse
    S. Sylaiou, P. Dafiotis, D. Koukopoulos, C. Koukoulis, R. Vital, A. Antoniou, and C. Fidas
    Journal of Cultural Heritage, 2024 - Impact Factor: 3.5
    DOI: https://doi.org/10.1016/j.culher.2023.11.002
    Springer - Personal Ubiquitous Computing
    A Systematic Review and Research Challenges on Phishing Cyberattacks from an Electroencephalography and Gaze-based perspective
    Thomopoulos, G., Lyras, D., Fidas, C.
    Personal Ubiquitous Computing, 2024 -
    DOI: https://doi.org/10.1007/s00779-024-01794-9
    IEEE ACCESS
    A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment
    Konstantina Kyriaki,Dimitrios Koukopoulos, Christos A. Fidas
    IEEE ACCESS, 2023 - Impact Factor: 3.476
    DOI: 10.1109/ACCESS.2024.3360328
    Springer Open - Smart Learning Environments
    Continuous user identification in distance learning: a recent technology perspective.
    Portugal, D., Faria, J.N., Belk, M. et al.
    Smart Learning Environments, 2023 - Impact Factor: 4.8
    DOI: https://doi.org/10.1186/s40561-023-00255-9
    IEEE ACCESS
    A Review of EEG-Based User Authentication: Trends and Future Research Directions
    Fidas, C., Lyras, D.
    IEEE ACCESS, 2023 - Impact Factor: 3.476
    DOI: https://10.1109/ACCESS.2023.3253026
    ACM Transactions on Computing for Healthcare
    Security and Usability of a Personalized User Authentication Paradigm: Insights from a Longitudinal Study with Three Healthcare Organizations
    Taylor & Francis IJHCI
    Supporting People with Visual Impairments in Cultural Heritage: Survey and Future Research Directions
    Sylaiou, S., Fidas, C.
    International Journal of Human-Computer Interaction, 2022, Taylor & Francis, 2022 - Impact Factor: 4.920
    DOI: https://doi.org/10.1080/10447318.2022.2098930
    Elsevier IJHCS
    From hot-spots towards experience-spots: Leveraging on users' sociocultural experiences to enhance security in cued-recall graphical authentication
    Constantinides, A., Fidas, C., Belk, M., Pietron, A., Han, T., Pitsillides, A.
    International Journal of Human-Computer Studies, 149, Elsevier, 2021 - Impact Factor: 3.16
    DOI: https://doi.org/10.1016/j.ijhcs.2021.102602
    Springer UMUAI
    A cognition-centered personalization framework for cultural heritage content
    Raptis, G., Fidas, C., Katsini, C., Avouris, N.
    User Modeling and User-Adapted Interaction (UMUAI). The Journal of Personalization Research, 29(1), 9-65, Springer, 2019 - Impact Factor: 4.68, James Chen Award for best paper of 2019
    DOI: https://doi.org/10.1007/s11257-019-09226-7
    ACM JOCCH
    Do game designers' decisions related to visual activities affect knowledge acquisition in cultural heritage games? An evaluation from a human cognitive processing perspective
    Raptis, G., Fidas, C., Avouris, N.
    ACM Journal on Computing and Cultural Heritage 12, 1, Article 4, ACM Press, 2019 - Impact Factor: 1.72
    DOI: https://doi.org/10.1145/3292057
    T&F IJHCI
    A human-cognitive perspective of users' password choices in recognition-based graphical authentication
    Katsini, C., Fidas, C., Belk, M., Samaras, G., Avouris, N.
    International Journal of Human-Computer Interaction, 35(19), 1800-1812, 2019, Taylor & Francis, 2019 - Impact Factor: 1.71
    DOI: https://doi.org/10.1080/10447318.2019.1574057
    Elsevier IJHCS
    Effects of mixed-reality on players' behaviour and immersion in a cultural tourism game: A cognitive processing perspective
    Raptis, G., Fidas, C.A., Avouris, N.
    International Journal of Human-Computer Studies, 69-79, Elsevier, 2018 - Impact Factor: 3.16
    DOI: https://doi.org/10.1016/j.ijhcs.2018.02.003
    Elsevier CHB
    The interplay between humans, technology and user authentication: a cognitive processing perspective
    Belk M., Fidas C., Germanakos P., Samaras G.
    Computers in Human Behavior, 76, 184-200, Elsevier, 2017 - Impact Factor: 5
    DOI: https://doi.org/10.1016/j.chb.2017.06.042
    Elsevier IJHCS
    Do human cognitive differences in information processing affect preference and performance of captcha?
    Belk M., Fidas C., Germanakos P., Samaras G.
    International Journal of Human-Computer Studies, 84, 1-18, Elsevier, 2015 - Impact Factor: 3.16
    DOI: http://dx.doi.org/10.1016/j.ijhcs.2015.07.002
    Oxford Uni. Press
    A personalized user authentication approach based on individual differences in information processing
    Belk M., Fidas C., Germanakos P., Samaras G.
    Interacting with Computers, 27(6), Oxford University Press, 2015 - Impact Factor: 1.03
    DOI: https://doi.org/10.1093/iwc/iwu033
    Elsevier Comp. Ed.
    Heterogeneity of learning material in synchronous computer-supported collaborative modelling
    Fidas, C.A., Komis, V., Tzanavaris, S., Avouris, N.
    Computers and Education, 44(2), 135-154, Elsevier, 2005 - Impact Factor: 5.29
    DOI: http://dx.doi.org/10.1016/j.compedu.2004.02.001
    Education and Information Technologies
    Computer-supported collaborative concept mapping: Study of synchronous peer interaction
    Komis, V., Avouris, N., Fidas, C.
    Education and Information Technologies, 7(2), 169-188, Springer, 2002
    DOI: https://doi.org/10.1023/A%3A1020309927987


    Prototypes

    CulturAI: Exploring Mixed Reality Art Exhibitions with Large Language Models for Personalized Immersive Experiences

    The integration of Large Language Models (LLMs) into MR applications within the Cultural Heritage (CH) domain is relatively underexplored. In this work, we present an investigation into the integration of LLMs within MR environments, focusing on the context of virtual art exhibitions. We implemented a HoloLens MR application, which enables users to explore artworks while interacting with an LLM through voice (https://doi.org/10.1145/3631700.366487 ). This work received the ACM UMAP 2024 Best Demo Award of 2024 (July 2024).

    CogniX: Electroencephalography and Eye Gaze-driven Framework for Intelligent and Real-Time Human Cognitive Modelling

    Funding Agency: Hellenic Foundation for Research and Innovation (H.F.R.I.).

    In this work, we have designed and developed CogniX, an extensible tool for human cognitive modeling. This work investigates human cognitive styles and factors, which are essential for creating systems that adapt dynamically to individual users. By leveraging EEG and eye-gaze analysis, this approach enables a deeper understanding of user cognition, offering insights into how individuals process information and make decisions. Modeling these factors allows for the development of personalized user interfaces, facilitating more effective information processing and tailored decision support. These cognitive models further inform the design of user experiences that cater to diverse cognitive styles, a valuable strategy across educational and cultural domains, where adaptable interaction with information systems enhances engagement and personalization.

    For more technical information about COGNIX: https://www.youtube.com/watch?v=9ehlT7HXVOo
    For a demonstration of COGNIX: https://www.youtube.com/watch?v=IdNHDSn0gxA
    To access the COGNIX open-source code: https://github.com/CogniX-UP

    CogniKit: An Extensible Tool for Human Cognitive Modeling based on Eye Gaze Analysis

    In this work, we have designed and developed CogniKit, an extensible tool for human cognitive modeling. It is based on the analysis, classification and visualization of eye tracking data such as gaze points, fixation count and duration, saccades, gaze transition and stationary entropy, heat maps, areas of interests, etc. These are further processed, analyzed and classified for detecting higher level human cognitive factors such as cognitive processing styles and abilities. CogniKit comprises of two main components: i) a software application that collects and processes low- and high-level eye gaze data metrics in real-time; and ii) an extensible interactive workbench for storing, analyzing, classifying and visualizing the collected eye gaze data.

    Relevant paper: ACM WI 2019, ACM IUI 2020


    HoloPass: Picture Passwords in Mixed Reality

    Mixed reality technologies embrace hand gesture-based interaction modalities, which can be leveraged by picture passwords, as they require users to draw secret gestures on a background image. In this work, we have designed and developed HoloPass, a novel mixed reality application that utilizes the Microsoft HoloLens device that allows users to directly interact with picture-based holograms in order to perform user authentication tasks. The current prototype was developed in Unity 3D, using C# and Microsoft's Mixed Reality Toolkit for HoloLens, and follows implementation guidelines of Microsoft Windows 10 Picture Gesture Authentication in which users draw three secret gestures on a background image that acts as a cue.

    Relevant papers: ACM CHI 2019, INTERACT 2019



    Academic Serive

    Teaching

    I teach undergraduate and postgraduate courses spanning Operating Systems | Procedural Programming / C | Object Oriented Technologies | Cognitive Ergonomics (MSc) | Brain Computer Interfaces (MSc). The courses combine theory with project-based learning, enabling students to build strong theoretical foundations while developing practical engineering skills.

    Associate Professor (2023-) at the Department of Electrical and Computer Engineering, University of Patras

    • Brain Computer Interaction (M.Sc.)
    • Cognitive Ergonomics (M.Sc.)
    • Operating Systems (B.Sc.)
    • Structural Programming (B.Sc.)
    • Internet Technologies (B.Sc.)
    • Object-Oriented Programming (B.Sc.)

    Assistant Professor (2021-2023) at the Department of Electrical and Computer Engineering, University of Patras

    • Ubiquitous Computing (M.Sc.)
    • Cognitive Ergonomics (M.Sc.)
    • Operating Systems (B.Sc.)
    • Structural Programming (B.Sc.)
    • Internet Technologies (B.Sc.)
    • Object-Oriented Programming (B.Sc.)

    Assistant Professor (2016-2020), Tenure-track Lecturer (2013-2016) at the <Department of Cultural Heritage and New Technologies, University of Patras

    • New Interactive Media (M.Sc.)
    • Human-Computer Interaction (B.Sc.)
    • Structural Programming (B.Sc.)
    • Visual Programming (B.Sc.)
    • Pervasive Computing and Cultural Heritage (B.Sc.)

    Visiting Assistant Professor at the Department of Computer Science, University of Cyprus (2011-2013)

    • Human-Computer Interaction (B.Sc.)
    • Programming Priniciples for Engineers (B.Sc.)
    • Operating Systems (B.Sc.)
    • Introduction to Computer Science (B.Sc.)

    Adjunct Lecturer at the University of Patras, University of Ioannina, Technical Institute of Patras(2004-2011)

    • Information Systems (B.Sc.)
    • Databases (B.Sc.)
    • Object Oriented Programming(B.Sc.)
    • Introduction to Programming (B.Sc.)
    • Introduction to Computer Science (B.Sc.)

    Advising

    Prospective Students

    I am always happy to discuss with prospective students new research endeavors in the areas of Information Systems and Interactive Technologies. If you are interested to discuss your research idea please don't hesitate to contact me at fidas AT upatras.gr

    Ph.D. Students
    • George Thomopoulos:An Intelligent Multi-Factor Framework and Method for Phishing Prevention in Information Systems
    • Ioannis Katoikos:An Intelligent Framework for Secure Multi-Factor User Authentication through Brain Signal Modelling
    Ph.D. Students (co-supervised)
    • Konstantinos Koukoulis: Digital Museum Environments: Design, Development, Evaluation, and Educational Applications
    • Argyris Constantinides: Personalized Cued-recall Graphical User Authentication based on Image Content Familiarity
    • Christina Katsini: Methods and Techniques for Usable and Secure User Authentication in Natural User Interaction
    • George Raptis: A Personalized Cultural Heritage Framework based on Human Cognitive Processing
    • Zois Koukopoulos: Design and Evaluation Methodologies for Intelligent Digital Environments in Culture and Society
    • Marios Belk: Adaptive Usable Security: Personalising User Authentication and CAPTCHA based on Individual Differences in Cognitive Processing
    M.Sc. Students (supervised)
    • Despoina Strataki: The Virtual Museum and its Didactic Use in Primary Education
    • Artemis Diamanti: Smart Cities and Culture: Current and Future Trends Prospects

    Scientific Community Service

    Review Service in International Journals and Conferences

    • ACM Computing Surveys
    • ACM Transactions on the Web
    • IEEE Transactions on Games
    • IEEE Transactions on Fuzzy Systems
    • IEEE Internet Computing Magazine
    • Behaviour & Information Technology, Elsevier
    • Journal of Network and Computer Applications, Elsevier
    • Computers & Security , Elsevier
    • Energy Research & Social Science, Elsevier
    • International Journal of Human - Computer Studies, Elsevier
    • Information Technology & People, Emerald
    • Computers and Education, Elsevier
    • Interacting with Computers, Oxford
    • IBM Journal of Research and Development
    • IFIP - INTERACT
    • ACM CHI - SIGCHI Conference on Human Factors in Computing Systems

    In the Media

    Bringing research closer to society through media coverage, public engagement, and science communication.
    Selected media coverage (in Greek) showcasing research outcomes aimed at protecting citizens from vishing attacks and strengthening digital resilience in society.
  • Kathimerini (15 June 2026)
  • Patris.gr (16 June 2026)
  • Pelop.gr (24 August 2026)
  • ALPHA TV (17 June 2026)
  • STAR TV (18 June 2026)