Institute of
IT Security Research

Team

Dipl.-Ing. Oliver Eigner BSc

  • Coordinator AI and Digital Transformation
    Service and Competence Center for Higher Education Development and Quality Management
  • Researcher IT Security (BA)
  • Department of Computer Science and Security
Location: B - Campus-Platz 1
P: +43/2742/313 228 691

Study programmes

  • Information Security (MA)
  • Smart Engineering (BA)
  • Data Intelligence (MA)
  • IT Security (BA)

Departments

  • Media and Digital Technologies
  • Computer Science and Security

Short profile

  • 09/2014 – 09/2016 St. Pölten University of Applied Sciences, Master Information Security
  • 09/2011 - 09/2014 St. Pölten University of Applied Sciences, Bachelor IT Security
  • 07/2013 - 09/2013 Compulsory Internship ITSV GmbH, Network Security Management
  • Higher Technical School for Information and Network Technologies Ybbs a. d. Donau, graduation in June 2011

Download CV

Projects

Selected Publications

Publications

Download Bibtex for all results
Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., Petyx, M., Agnello, P., & Mercaldo, F. (2026, May 4). Privacy-Preserving and Explainable Epileptic Seizure Detection through Wavelet Transforms. The 2026 International Conference on Breakthroughs in Artificial Intelligence. The 2026 International Conference on Breakthroughs in Artificial Intelligence.
Mercaldo, F., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., & Tavolato, P. (2026, May 4). Towards the Introduction of Quantum Machine Learning in Possible Epileptic Seizure Detection. The 2026 International Conference on Breakthroughs in Artificial Intelligence. The 2026 International Conference on Breakthroughs in Artificial Intelligence.
Slijepčević, D., Klausner, L. D., Eigner, O., Ladner, S., Kietreiber, T., Belinskaya, Y., Kovac, F., Priebe, T., Judmaier, P., Litschka, M., & Zeppelzauer, M. (2026). TrustAI: Designing and Implementing a Trustworthy and User-Centered AI Platform. Proceedings of the 36th International Conference on Database and Expert Systems Applications – DEXA 2025 Workshops, CCIS, volume 2615, 15–29. https://doi.org/10.1007/978-3-032-02003-1_2
Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., & Mercaldo, F. (2025). A Method for Explainable Epileptic Seizure Detection Through Wavelet Transforms Obtained by Electroencephalogram-Based Audio Recordings. Sensors, 26(1), 237. https://doi.org/10.3390/s26010237
Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., & Mercaldo, F. (2025, November 19). On the detection of Possible Epileptic Seizure by means of Explainable and Robust Deep Learning. 6th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025). 6th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025). https://eprints.cs.univie.ac.at/8462/
Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., Agnello, P., Petyx, M., & Mercaldo, F. (2025, November 1). A Privacy-Preserving and Explainable Approach for Possible Epilepsy Seizure Detection. 6th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025). http://eprints.cs.univie.ac.at/8463
Haindl, P., Kieseberg, P., & Eigner, O. (2025). Designing an LLM-Augmented Course for Secure Coding Using a Structured Learning Design Model and Prompt Patterns. https://doi.org/https://doi.org/10.21203/rs.3.rs-7813236/v1
Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., & Mercaldo, F. (2025). Explainable Brain Activity Classification from Audio Recordings and Convolutional Neural Networks. 2025 Sixth International Conference on Intelligent Data Science Technologies and Applications (IDSTA), 65–72. https://doi.org/10.1109/IDSTA66210.2025.11202815
Tavolato, P., Schölnast, H., Santone, A., Cesarelli, M., Martinelli, F., Mercaldo, F., & Eigner, O. (2025, June 25). Exploring the Possibility to Predict Epileptic Seizures through Explainable Machine Learning. 13th International Conference on Innovation in Medicine and Healthcare (InMed), 2025. 13th International Conference on Innovation in Medicine and Healthcare (InMed), 2025. https://eprints.cs.univie.ac.at/8429/
Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., & Mercaldo, F. (2025, June 25). Possible Epileptic Seizure Detection by Means of Long Short-Term Memory Networks. 13th International Conference on Innovation in Medicine and Healthcare (InMed), 2025. 13th International Conference on Innovation in Medicine and Healthcare (InMed), 2025. http://eprints.cs.univie.ac.at/8428
Eigner, O., Schölnast, H., & Tavolato, P. (2024). How to Find out What’s Going on in Encrypted Smart Meter Networks–without Decrypting Anything. Proceedings of the 19th International Conference on Availability, Reliability and Security, ARES "24, 1–6. https://doi.org/10.1145/3664476.3670925
Kovac, F., & Eigner, O. (2024, April 22). Unlocking the Power of Active Learning: A Hands-on Exploration. Workshop at Machine Learning Prague (MLPRAGUE) 2024. https://www.mlprague.com/prague2024/
Adrowitzer, A., Temper, M., Buchelt, A., Kieseberg, P., & Eigner, O. (2024). Safeguarding the Future of Artificial Intelligence: An AI Blueprint. In Artificial Intelligence for Security (pp. 3–22). Springer Cham. https://doi.org/10.1007/978-3-031-57452-8_1
Priebe, T., Kieseberg, P., Adrowitzer, A., Eigner, O., & Kovac, F. (2023). Sustainability Effects of Robust and Resilient Artificial Intelligence. In A. Holzinger, P. Kieseberg, F. Cabitza, A. Campagner, A. M. Tjoa, & E. Weippl (Eds.), Machine Learning and Knowledge Extraction (Vol. 14065, pp. 188–199). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40837-3_12
Kovac, F., Eigner, O., Adrowitzer, A., Schölnast, H., & Buchelt, A. (2022). Classification of rain events using directional radio data of commercial microwave links. 2022 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), 1–6. https://doi.org/10.1109/COINS54846.2022.9855003
Kovac, F., Eigner, O., Adrowitzer, A., Scholnast, H., & Buchelt, A. (2022). Classification of rain events using directional radio data of commercial microwave links. 2022 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), 1–6. https://doi.org/10.1109/COINS54846.2022.9855003
Anderluh, A., Dam, T., Eigner, O., Herburger, M., Hochstrasser, C., Kieseberg, P., & Wagner, A. (2022, July). Cyber security in resilient multimodal logistics. EUROMA 2022 Papers. EUROMA 2022. https://www.dropbox.com/sh/ugxee11d2k3vxy0/AAB6PSRUyN8gG3cMHaF62K8Ja/Papers/189%20Cyber%20security%20in%20resilient%20multimodal%20logistics.pdf?dl=0
Eigner, O., Eresheim, S., Kieseberg, P., Klausner, L. D., Pirker, M., Priebe, T., Tjoa, S., Marulli, F., Mercaldo, F., & Priebe, T. (2021). Towards Resilient Artificial Intelligence: Survey and Research Issues. Proceedings of the 2021 IEEE International Conference on Cyber Security and Resilience, 536–542. https://doi.org/10.1109/CSR51186.2021.9527986
Di Giacomo, U., Casolare, R., Eigner, O., Martinelli, F., Mercaldo, F., Priebe, T., & Santone, A. (2021). Exploiting Supervised Machine Learning for Driver Detection in a Real-World Environment. Procedia Computer Science, Elsevier(25th International Conference on Knowledge-Based and Intelligent Information&Engineering Systems, in Procedia Computer Science no. 192), 2440–2449. https://doi.org/https://doi.org/10.1016/j.procs.2021.09.013
Eigner, O. (2019, May 20). Grundlagen Projektmanagement (Rolle als Sicherheitsexperte) Thema der Fallstudie: Unterirdische Packstation an der FH Kiel. International Staff Week.
Eigner, O. (2019, May 21). Künstliche Intelligenz: Diskussion über Schnittflächen zwischen KI / Big Data / IT-Sicherheit und Ethik. International Staff Week.
Eigner, O. (2019, May 22). Übungseinheit: Einführung in IT-Sicherheit für 2 verschiedene Gruppen. International Staff Week.
Luh, R., & Eigner, O. (2019, January 29). Google Hacking. Security Day.
Eigner, O., Kreimel, P., & Tavolato, P. (2018, April 13). CPS-Security.
Eigner, O., Kreimel, P., & Tavolato, P. (2018). Attacks on Industrial Control Systems – Modeling and Anomaly Detection. International Workshop on FORmal Methods for Security Engineering - ForSE 2018. International Workshop on FORmal methods for Security Engineering - ForSE 2018. https://doi.org/10/gnt2t3
Eigner, O., Kreimel, P., & Tavolato, P. (2018). Identifying S7comm Protocol Data Injection Attacks in Cyber-Physical Systems. 5th International Symposium for ICS & SCADA Cyber Security Research 2018. ICS CSR. https://doi.org/10/gnt2t2
Tavolato, P., Eigner, O., & Kreimel, P. (2018). CPS Security - Verhaltensbasierte Anomalie-Erkennung in Cyber-Physischen Systemen. Austro-European Security Research Innovation.
Eigner, O. (2017, October 11). Verhaltensbasierte Anomalie-Erkennung und Angriffsklassifizierung in Cyber-Physischen Systemen. IT-SECX.
Kreimel, P., Eigner, O., & Tavolato, P. (2017). Anomaly-Based Detection and Classification of Attacks in Cyber-Physical Systems. International Conference on Availability, Reliability and Security. https://doi.org/10/gh373x
Eigner, O., & Kreimel, P. (2017, September 15). Sicherheit in Cyper-physischen Systemen. Forschungsfest Niederösterreich.
Eigner, O., Kreimel, P., & Tavolato, P. (2016). Detection of Man-in-the-Middle Attacks on Industrial Control Networks. 2016 International Conference on Software Security and Assurance (ICSSA). https://doi.org/10/gh373z