Nazila Ahmadi Daryakenari
Affiliations
  • University of Bonn
  • University Hospital of Bonn
Research topics
  • Biomedical Signal Processing
  • AI in medicine and health
  • Seizure Detection
Nazila Ahmadi Daryakenari is a PhD Researcher in Computer Science at the University of Bonn and a research associate at University Hospital Bonn, specializing in AI for healthcare. Her research focuses on secure and trustworthy AI for real-time seizure detection using multimodal physiological signals. Her broader research interests include clinical AI, explainable AI, multimodal learning, and neurological disorders. She is a member of IEEE, the IEEE Engineering in Medicine and Biology Society (EMBS), IEEE Young Professionals, and World Women in Neuroscience (WWN). She served as a Scientific Program Committee Member for several international conferences, including the IEEE International Conference on Signal and Image Processing Applications (ICSIPA 2026), ML4H Symposium (Machine Learning for Health) and Machine Learning in Computational Biology (MLCB 2026).
Selected publications

Journal Articles:
• Explainable Epileptic Seizure Detection from Electroencephalography Signals via CNN–Bi-LSTM Attention Hybrid ModelBarzegar, M., Ahmadi Daryakenari, N., et al. Journal of Research and Health, 2025 | Published | Second Author
• A Review of Underwater Image Enhancement Methods, Ahmadi Daryakenari, N.Peak Journal, Iran Scientific Student EE Organization, Vol. 10, p. 30, 2021
Conference Papers:
• Toward Clinically Deployable Seizure Detection: A Lightweight Multi-Scale Framework with Zero-Shot Cross-Patient Generalizability Under Chronological Evaluation, Ahmadi Daryakenari, N., Surges, R., Krüger, B.16th European Epilepsy Congress (EEC 2026) | Accepted | Poster Presentation
• State-Space Meets Adaptive Nonlinearity: Efficient and Interpretable EEG-Based Seizure Detection, Ahmadi Daryakenari, N., Krüger, B.48th Annual International Conference of the IEEE Engineering in Medicine and Biology (EMBC 2026) | Accepted | Poster Presentation
• Requirements for Safe AI Models for Seizure Detection Using Wearables in Epileptology, Greß, H., Ahmadi Daryakenari, N., et al.64th Annual Meeting of the German Society for Epileptology, 2026 | Accepted | Oral Presentation
• EEG-based Schizophrenia Detection Using Spectral, Entropy, and Graph Connectivity Features with Machine Learning, Ahmadi Daryakenari, N., Setarehdan, S. K.The 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME 2025) | Accepted | Oral Presentation
• Classification of Healthy People and Schizophrenics Using Time-Frequency Domain Features Extracted from Electroencephalogram Signals, Ahmadi Daryakenari, N., Setarehdan, S. K.The 29th National and 7th International Iranian Conference on Biomedical Engineering (ICBME 2022) | Accepted | Oral Presentation

Nazila Ahmadi Daryakenari
Nazila Ahmadi Daryakenari

Building 74, Room 2G-01

Venusberg-Campus 1

553127 Bonn

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