Wael Korani

Wael Korani is an Assistant Professor at the University of North Texas, specializing in interdisciplinary research at the intersection of artificial intelligence, neuroscience, and healthcare technology. His work focuses on applying machine learning and optimization algorithms to solve critical challenges in mental health diagnostics, neurology, and medical imaging. He is affiliated with Discovery Park and holds a Ph.D. from the University of Regina, Canada, alongside advanced degrees from Tuskegee University, Cairo University, and Ain Shams University.

Research interests include EEG signal analysis for depression and brain disorder prediction, optimization of medical therapy outcomes, and enhancing healthcare IoT security. Notable contributions include developing the TOP-EEG software for therapy prediction and proposing novel algorithms like Lionized Remora Optimization for medical imaging analysis. Korani's recent work emphasizes AI-driven solutions for Alzheimer’s disease pathogenesis, brain tumor detection, and automated seizure activity recognition.

His publication trends reflect a strong focus on translational research bridging computational methods with clinical applications. While no formal awards or grants are listed, his active research program involves collaborations across disciplines, with a particular emphasis on optimizing neural networks using nature-inspired algorithms and addressing cybersecurity challenges in healthcare systems.

Korani’s work often integrates entropy-based feature extraction, deep learning architectures, and hybrid optimization strategies to tackle complex medical diagnostics problems, demonstrating a commitment to advancing both theoretical and applied aspects of artificial intelligence in healthcare.