Biography:
Dr. Kaouther Selmi is an Assistant Professor of Electronics and Computational Neuroscience at the University of Monastir, Tunisia. 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. She has authored and co-authored several scientific papers on topics such as chaotic neural systems, neuron astrocyte–synapse interactions, and the application of Bessel functions in modeling multidendritic neuron behavior. Dr. Selmi’s current work explores neuromorphic and bio-inspired architectures, aiming to bridge artificial intelligence and biological signal analysis for understanding and classifying complex brain dynamics. She also mentors graduate students in the areas of machine learning, biomedical signal processing, and the development of intelligent embedded systems.
Title : Predictive maintenance in oil and gas facilities using nonlinear signal analysis and machine learning
Title : Chaos-informed artificial intelligence for early fault detection in oil and gas production systems