README.md

Researcher profile

• Personal website, short résumé, and long CV

Academic appointments

Position	Institution and country	Advisor(s)	Duration
Postdoc	Kyushu University, Japan	Atsushi Shimada	(current)
Research stay	Ateneo de Manila University, Philippines	Maria Mercedes T. Rodrigo	1 month
Research stay	Sorbonne University, France	François Bouchet	1 month
Postdoc	University of Pennsylvania, USA	Ryan S. Baker	12 months
Research stay	Northern Kentucky University, USA	Ankur Chattopadhyay	1 month
Ph.D.	Masaryk University, Czech Republic	Pavel Čeleda and Jan Vykopal	5 years
Master's exchange	University of Copenhagen, Denmark	–	6 months

Scientific database profiles and metrics

Database	Citations	h-index	Profile ID and link
Google Scholar	783	15	CSMVlf0AAAAJ
Semantic Scholar	445	11	32216410
Scopus	390	10	57215670820
Web of Science	252	8	GPG-1431-2022

• Other academic profiles: ORCID, ArXiv, DBLP, Zenodo, MUNI
• Professional social networks: ResearchGate, Academia, LinkedIn, Twitter

Published peer-reviewed papers

• 7 journal papers in international WoS-indexed journals
• 24 conference papers in proceedings of international ICORE-ranked conferences
• 8 conference poster papers in proceedings of international ICORE-ranked conferences
• 39 publications total — 21x leading author, published with 58 distinct co-authors

Each paper title links to the official publisher's version. Please use references.bib to cite.

• 🏆 = Best Paper Award
• ⭐ = Featured
• 🚀 = Highly cited
•   = Open access

2025

• [39] (in press) Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance
  S. Leelaluk, C. Tang, V. Švábenský, A. Shimada | ACM SAC
    [bib] [preprint] [code]

• [38] (in press) Evaluating the Impact of Data Augmentation on Predictive Model Performance
  V. Švábenský, C. Borchers, E. Cloude, A. Shimada | LAK
    [bib] [preprint] [code]

• [37] (in press) Cybersecurity Study Programs: What's in a Name?
  J. Vykopal, V. Švábenský, M. Lopez, P. Čeleda | ACM SIGCSE
    [bib] [preprint] [data and code]

2024

• [36] (in press) Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments
  V. Švábenský, K. Tkáčik, A. Birdwell, R. Weiss, R. Baker, P. Čeleda, J. Vykopal, J. Mache, A. Chattopadhyay | IEEE FIE
    [bib] [preprint] [slides] [data] [code 1] [code 2] [training] [platform 1] [platform 2]

• [35] Comparison of Large Language Models for Generating Contextually Relevant Questions
  I. Molina, V. Švábenský, T. Minematsu, L. Chen, F. Okubo, A. Shimada | Springer ECTEL
    [bib] [preprint] [poster] [code]

• [34] Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
  V. Švábenský, M. Verger, M. Rodrigo, C. Monterozo, R. Baker, M. Saavedra, S. Lallé, A. Shimada | EDM
    [bib] [preprint] [poster] [code]

• [33] E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems
  Y. Miyazaki, V. Švábenský, Y. Taniguchi, F. Okubo, T. Minematsu, A. Shimada | EDM
    [bib] [preprint] [code]

• [32] ⭐ From Paper to Platform: Evolution of a Novel Learning Environment for Tabletop Exercises
  V. Švábenský, J. Vykopal, M. Horák, M. Hofbauer, P. Čeleda | ACM ITiCSE
    [bib] [preprint] [slides] [data and code] [platform]

• [31] Research and Practice of Delivering Tabletop Exercises
  J. Vykopal, P. Čeleda, V. Švábenský, M. Hofbauer, M. Horák | ACM ITiCSE
    [bib] [preprint] [slides] [data and materials]

• [30] Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades
  V. Švábenský, M. Pankiewicz, J. Zhang, E. Cloude, R. Baker, E. Fouh | ACM ITiCSE
    [bib] [preprint] [data and code]

• [29] Data Set Size Analysis for Predicting the Urgency of Discussion Forum Posts
  V. Švábenský, F. Bouchet, F. Tarrazona, M. Lopez, R. Baker | LAK
    [bib] [preprint] [poster]

2023

• [28] 🏆 Towards Generalizable Detection of Urgency of Discussion Forum Posts
  V. Švábenský, R. Baker, A. Zambrano, Y. Zou, S. Slater | EDM
    [bib] [preprint] [slides] [data and code]

• [27] ⭐ Automated Feedback for Participants of Hands-on Cybersecurity Training
  V. Švábenský, J. Vykopal, P. Čeleda, J. Dovjak | Springer EaIT
    [bib] [preprint] [data and code] [training] [platform]

• [26] Want to Raise Cybersecurity Awareness? Start with Future IT Professionals.
  L. Kraus, V. Švábenský, M. Horák, V. Matyáš, J. Vykopal, P. Čeleda | ACM ITiCSE
    [bib] [preprint] [slides] [questionnaire] [course]

2022

• [25] Smart Environment for Adaptive Learning of Cybersecurity Skills
  J. Vykopal, P. Seda, V. Švábenský, P. Čeleda | IEEE TLT
    [bib] [preprint] [training] [platform]

• [24] Applications of Educational Data Mining and Learning Analytics on Data From Cybersecurity Training
  V. Švábenský, J. Vykopal, P. Čeleda, L. Kraus | Springer EaIT
    [bib] [preprint] [data]

• [23] ⭐ Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering
  V. Švábenský, J. Vykopal, P. Čeleda, K. Tkáčik, D. Popovič | Springer EaIT
    [bib] [preprint] [data] [code] [training] [platform]

• [22] Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises
  V. Švábenský, R. Weiss, J. Cook, J. Vykopal, P. Čeleda, J. Mache, R. Chudovský, A. Chattopadhyay | ACM SIGCSE
    [bib] [preprint] [slides] [video] [data and code] [training] [platform 1] [platform 2]

• [21] 🏆 Preventing Cheating in Hands-on Lab Assignments
  J. Vykopal, V. Švábenský, P. Seda, P. Čeleda | ACM SIGCSE
    [bib] [preprint] [slides] [code] [platform]

2021

• [20] ⭐ Dataset of Shell Commands Used by Participants of Hands-on Cybersecurity Training
  V. Švábenský, J. Vykopal, P. Seda, P. Čeleda | Elsevier DiB
    [bib] [preprint] [data] [data backup]

• [19] Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training
  V. Švábenský, J. Vykopal, D. Tovarňák, P. Čeleda | IEEE FIE
    [bib] [preprint] [slides] [video] [data and code] [platform 1] [platform 2]

• [18] 🚀 Scalable Learning Environments for Teaching Cybersecurity Hands-on
  J. Vykopal, P. Čeleda, P. Seda, V. Švábenský, D. Tovarňák | IEEE FIE
    [bib] [preprint] [slides] [video] [platform 1] [platform 2] [documentation]

• [17] Reinforcing Cybersecurity Hands-on Training With Adaptive Learning
  P. Seda, J. Vykopal, V. Švábenský, P. Čeleda | IEEE FIE
    [bib] [preprint] [slides] [video] [data and code] [platform]

• [16] Toward Guidelines for Designing Cybersecurity Serious Games
  M. Gáliková, V. Švábenský, J. Vykopal | ACM SIGCSE
    [bib] [preprint] [poster] [materials]

• [15] The Stack: Unplugged Activities for Teaching Computer Science
  V. Švábenský, M. Ukrop | ACM SIGCSE
    [bib] [preprint] [poster] [materials]

2020

• [14] ⭐ 🚀 Cybersecurity Knowledge and Skills Taught in Capture the Flag Challenges
  V. Švábenský, P. Čeleda, J. Vykopal, S. Brišáková | Elsevier CoSe
    [bib] [preprint] [data and code]

• [13] How Does a Student-Centered Course on Communication and Professional Skills Impact Students in the Long Run?
  R. Motschnig, M. Silber, V. Švábenský | IEEE FIE
    [bib] [preprint]

• [12] Teaching Lab: Training Novice Computer Science Teachers
  M. Ukrop, V. Švábenský, I. Nagy | ACM ITiCSE
    [bib] [preprint] [poster] [course]

• [11] 🏆 🚀 What Are Cybersecurity Education Papers About? A Systematic Literature Review of SIGCSE and ITiCSE Conferences
  V. Švábenský, J. Vykopal, P. Čeleda | ACM SIGCSE
    [bib] [preprint] [slides] [video] [data]

• [10] 🚀 Benefits and Pitfalls of Using Capture The Flag Games in University Courses
  J. Vykopal, V. Švábenský, E. Chang | ACM SIGCSE
    [bib] [preprint] [slides] [code 1] [code 2]

• [9] KYPO4INDUSTRY: A Testbed for Teaching Cybersecurity of Industrial Control Systems
  P. Čeleda, J. Vykopal, V. Švábenský, K. Slavíček | ACM SIGCSE
    [bib] [preprint] [slides]

• [8] Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training
  R. Ošlejšek, V. Rusňák, K. Burská, V. Švábenský, J. Vykopal, J. Čegan | IEEE TVCG
    [bib] [preprint] [materials] [platform]

2019

• [7] Visual Feedback for Players of Multi-Level Capture the Flag Games: Field Usability Study
  R. Ošlejšek, V. Rusňák, K. Burská, V. Švábenský, J. Vykopal | IEEE VizSec
    [bib] [preprint] [slides] [demo]

• [6] 🚀 Reflective Diary for Professional Development of Novice Teachers
  M. Ukrop, V. Švábenský, J. Nehyba | ACM SIGCSE
    [bib] [preprint] [slides] [diary]

• [5] Towards Learning Analytics in Cybersecurity Capture the Flag Games
  V. Švábenský, J. Vykopal, P. Čeleda | ACM SIGCSE
    [bib] [poster]

• [4] Analyzing User Interactions with Cybersecurity Games
  V. Švábenský | ACM SIGCSE
    [bib]

2018

• [3] Gathering Insights from Teenagers' Hacking Experience with Authentic Cybersecurity Tools
  V. Švábenský, J. Vykopal | IEEE FIE
    [bib] [preprint] [slides]

• [2] 🚀 Enhancing Cybersecurity Skills by Creating Serious Games
  V. Švábenský, J. Vykopal, M. Čermák, M. Laštovička | ACM ITiCSE
    [bib] [preprint] [slides] [materials]

• [1] Challenges Arising from Prerequisite Testing in Cybersecurity Games
  V. Švábenský, J. Vykopal | ACM SIGCSE
    [bib] [preprint] [slides] [data and code]