Mohamed Benbouziane

About the Author

Mohamed Benbouziane is a distinguished researcher and academic specializing in computational finance and artificial intelligence applications. With a robust background in engineering and data science, he has dedicated his career to developing innovative hybrid models that bridge machine learning and optimization techniques for real-world predictive challenges. His seminal work, 'A Neural Network-Genetic Algorithm Hybrid Model for Forecasting: USD/KWD Foreign Exchange Rate,' exemplifies his expertise in leveraging neural networks and genetic algorithms to enhance accuracy in foreign exchange rate predictions, particularly for the Kuwaiti Dinar against the US Dollar. Benbouziane's contributions extend to academic publications and consultations, influencing advancements in financial modeling and algorithmic trading. He continues to explore interdisciplinary approaches, mentoring the next generation of AI-driven economists and fostering collaborations between technology and global markets.