PhD
Dr. Kaouther Selmi is an Assistant Professor of Electronics and Computational Neuroscience at the University of Monastir, Tunisia. She earned her Ph.D. in Computer Science from the University of Monastir in 2024. Her research lies at the intersection of electronics, nonlinear dynamics, and neural modeling, with a particular focus on simulating brain behavior through mathematical and electronic circuit approaches. Dr. Selmi has authored and co-authored several scientific papers in international journals and conferences on topics such as chaotic neural systems, neuron–astrocyte–synapse interactions, and the application of Bessel functions in modeling multi-dendritic neuron behavior. Her recent work explores neuromorphic and bio-inspired architectures, aiming to bridge artificial intelligence and biological signal analysis for the understanding and classification of complex brain dynamics. In addition to her research, Dr. Selmi mentors graduate students in machine learning, biomedical signal processing, and the development of intelligent embedded systems. She has presented her work at numerous international conferences, including those in France, Korea, Saudi Arabia, and Egypt, and has received recognition for her research contributions, including a Best Paper Award in 2024.
Conference Participation & Presentations:
Speaker at the Neurology Conference, Paris, France (2024).
Presented at ICAECE 2023 (Algeria, May 2023).
Presented at IARF Conferences in Saudi Arabia (August 2023) and South Korea (October 2023).
Presented at CW 2023 (Tunisia, Sousse, October 2023).
Presented at UKSIM 2024 (London, March 2024).
Presented at IECBS 2024 and ECCM 2024 (MDPI Conferences).
Presented at ICCA 2024 (Cairo, Egypt, December 2024).
Awards & Recognition:
Second Place – PHD3M-SSD 2024 Award.
Best Paper Award – UMYGrace 2024 Conference, Biotechnology Track (Indexed in Scopus) for the paper “Simulating Epileptic Seizure Dynamics: A Perturbed Lorenz Attractor Approach with Bessel Filtering.”
Research Contributions:
Authored and co-authored multiple papers published in international peer-reviewed journals, including Cognitive Neurodynamics (Springer), International Journal of Electrical and Computer Engineering (IJECE), AIP Advances, and MDPI Proceedings Series.
Developed computational models of multi-dendritic neurons, EEG signal simulators, and chaotic attractors for understanding neural dynamics.
Active reviewer and contributor to interdisciplinary research bridging neuroscience, electronics, and artificial intelligence.
Academic Engagement:
Lecturer and Research Supervisor at the University of Monastir, mentoring graduate students in computational neuroscience, biomedical signal processing, and intelligent systems.
Member of Graduation Projects and Examination Committees at the University of Monastir.
Organized training sessions on programming, deep learning, AI, and scientific writing.
