university of monastir, Tunisia
Kaouther Selmi is a dedicated academic and researcher specializing in electronics, neural dynamics, and artificial intelligence. With extensive teaching experience and a solid background in teleinformatics and radiocommunications, she has made significant contributions to chaos theory and its applications in neuroscience. Her research aims to explore the intersection of electronic modeling and brain dynamics, particularly through the use of chaotic systems, neuron simulations, and signal processing. As a committed educator and an award-winning researcher, Kaouther has continually sought to advance scientific knowledge and inspire the next generation of engineers and scientists.
Profile
Scopus
Education 🎓
She earned her Doctorate in Electronics from the Faculty of Sciences Monastir in 2024, following a robust academic journey. She began with a Maîtrise in Computer Science from ISSAT Sousse in 2007, then pursued a Master’s in Radiocommunication at ISSAT Sousse in 2010. In 2011, she obtained her Engineering Degree in Teleinformatics from ISITCOM in Hamam Sousse. These foundational degrees laid the groundwork for her specialization in systems theory, telecommunications, and neural networks. Her multidisciplinary education allowed her to build expertise in various computing and electronic domains, preparing her for the innovative work she undertook during her doctoral research.
Experience 👩
Professionally, Kaouther has accumulated over a decade of experience in teaching and departmental leadership. From 2022 to 2024, she served as a contract teaching assistant at ISIMahdia during her doctoral studies. Before that, she spent nearly a decade (2011–2020) as a lecturer at Taibah University in Saudi Arabia, where she also led the Computer Science Department from 2012 to 2020. Her early career began in Tunisia as a part-time lecturer at the University of Sousse between 2007 and 2011, followed by her role as an instructor at a vocational training center in Sousse from 2006 to 2007. Throughout her academic journey, she has taught a wide range of subjects including computer networks, mobile and wireless communications, intelligent systems, database management, software engineering, cybersecurity, cloud computing, and various programming languages such as Java, C++, and Python.
Research Interests 🔬
Kaouther’s research interests revolve around neural network modeling, chaotic systems, artificial intelligence, and their application in medical engineering. She has focused her efforts on understanding the chaotic behavior of neural systems using electrical circuit modeling and neuron structures with multiple dendrites. Her work combines mathematical modeling, simulation, and machine learning to simulate and analyze brain dynamics, including epileptic seizures and EEG signal processing. She has also explored the use of fractals and attractors for understanding complex systems, and her research has been featured in several international conferences and peer-reviewed journals.
Awards 🏆
Among her most notable recognitions, Kaouther was awarded the 2024 IEEE PHD3M Competition Laureate Certificate, reflecting her excellence in doctoral research. She also received the Best Paper Award at the UMYGrace2024 Conference in the Biotechnology section, for her innovative study titled “Simulating Epileptic Seizure Dynamics: A Perturbed Lorenz Attractor Approach with Bessel Filtering,” which is indexed in Scopus. Her contributions have garnered attention for their relevance in applying theoretical models to real-world medical diagnostics.
Top Noted Publications 📚
Kaouther Selmi has authored several impactful publications. In 2024, she co-authored a paper in the high-impact journal Cognitive Neurodynamics titled “A new class of chaotic attractors using different activation functions in neuron with multi dendrites,” cited by multiple articles for its innovative modeling techniques. In the same year, she published in IJEECS (Scopus-indexed): “Electrical circuit approaches to modeling brain chaos: insights into neural dynamics” (DOI: 10.11591/ijeecs.v36.i3.pp1-9x). Another 2024 publication, “Chaotic Attractor Generated by Combining Chua Attractor with Another Circuit,” appeared in IJSSST (DOI: 10.5013/IJSSST.a.25.01.05). In 2023, she contributed to Journal of Chemical Health Risks with “Potential application of neuron with multi dendrites in medicines.” Additionally, she published “Generation of Fractal Flower by Two Chaotic Attractors” in IJERCSE (September 2023). Her conference contributions include two IEEE-indexed articles: “Simulator of EEG Using Neural Networks with Neuron Contains Multi Dendrites” presented at CW2023, and “Converging Chaos into Stability through the Integration of the Chua Circuit with Another Circuit” presented at EECSI 2024.
Conclusion
In conclusion, Kaouther Selmi exemplifies the modern academic—equipped with interdisciplinary expertise, international experience, and a passion for innovation. Her work bridges the gap between abstract mathematical theory and practical biomedical applications, positioning her as a promising figure in neural modeling and chaotic systems. Through her teaching, research, and conference participation, she has continually expanded the frontier of knowledge, making her an ideal candidate for award recognition in the field of electronic and computational neuroscience.