About the Scientist
Welcome to my webpage! My name is Matin Fallahi, and I am a passionate PhD student specializing in the fascinating field of behavioral biometric authentication. My research focuses on developing cutting-edge methods utilizing various behavioral biometric modalities, such as brainwaves and eye tracking. I invite you to reach out via email for engaging discussions and future collaborations in the exciting realm of research.
Curriculum Vitæ
- since 2021: PhD student at the Institute of Information Security and Dependability (KASTEL), Karlsruhe Institute of Technology, Karlsruhe, Germany
- 2018 – 2020: Master of Science in Secure Computing, Tarbiat Modares University (TMU), Tehran, Iran
- 2012 – 2018: Bachelor of Science in Information Technology, Kermanshah University of Technology, Kermanshah, Iran
During his time at TMU, Matin was able to gain experience as a teaching assistant in Applied Cryptography.
Awards
- 2019: First rank in grade points in the M.S. class at TMU
- 2018: Rank 270/19024 of the national university entrance exam for Computer Engineering
- 2018: Rank 27/10775 of the national university entrance exam for Information Technology
Publications
NeuroIDBench: An open-source benchmark framework for the standardization of methodology in brainwave-based authentication research
Chaurasia, A. K.; Fallahi, M.; Strufe, T.; Terhörst, P.; Cabarcos, P. A.
2024. Journal of Information Security and Applications, 85, Article no: 103832. doi:10.1016/j.jisa.2024.103832
Chaurasia, A. K.; Fallahi, M.; Strufe, T.; Terhörst, P.; Cabarcos, P. A.
2024. Journal of Information Security and Applications, 85, Article no: 103832. doi:10.1016/j.jisa.2024.103832
Poster: Towards Practical Brainwave-based User Authentication
Fallahi, M.; Arias-Cabarcos, P.; Strufe, T.
2023. CCS’ 23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, Kopenhagen, 26th-30th November 2023, 3627–3629, Association for Computing Machinery (ACM). doi:10.1145/3576915.3624399
Fallahi, M.; Arias-Cabarcos, P.; Strufe, T.
2023. CCS’ 23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, Kopenhagen, 26th-30th November 2023, 3627–3629, Association for Computing Machinery (ACM). doi:10.1145/3576915.3624399
BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks
Fallahi, M.; Strufe, T.; Arias-Cabarcos, P.
2023. 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom), 53–60, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PERCOM56429.2023.10099367
Fallahi, M.; Strufe, T.; Arias-Cabarcos, P.
2023. 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom), 53–60, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PERCOM56429.2023.10099367
Performance and Usability Evaluation of Brainwave Authentication Techniques with Consumer Devices
Arias-Cabarcos, P.; Fallahi, M.; Habrich, T.; Schulze, K.; Becker, C.; Strufe, T.
2023. ACM Transactions on Privacy and Security, 26 (3), Art.-Nr.: 26. doi:10.1145/3579356
Arias-Cabarcos, P.; Fallahi, M.; Habrich, T.; Schulze, K.; Becker, C.; Strufe, T.
2023. ACM Transactions on Privacy and Security, 26 (3), Art.-Nr.: 26. doi:10.1145/3579356