Wafa Benaatou

Founded and developed an AI-driven platform focused on scientific discovery, intelligent systems, and applied artificial intelligence. Designed and implemented a research-oriented website integrating modern AI workflows and scientific communication.

Architected a multimodal adaptive AI system integrating NLP, computer vision, and reinforcement learning to personalize cognitive learning trajectories for early childhood development. Developing prototype LLM-enhanced reasoning modules for adaptive educational decision support.

Developed a hybrid machine learning framework to model surface performance properties of 3D-printed PEEK polymers for biomedical applications. Built a generative predictive AI pipeline using conditional GAN-based inverse design and forward regression models, and established a data-driven catalyst discovery pipeline (HER/ORR).

Designed AI-powered digital twin architectures integrating real-time sensor streams with industrial IoT platforms. Improved anomaly detection accuracy using a hybrid framework (autoencoders, QML, VAEs, K-Means) and built scalable data pipelines for predictive maintenance and energy efficiency optimization.

Conducted research on optimization algorithms, network modeling, and decision systems, and taught C++, MATLAB, and Operating Systems.

Investigated ICT solutions, network architecture, and cloud computing techniques for telecommunication systems.

Researched wireless communication technologies and optimization methods.

Ph.D. in Computer Science & Telecommunication, completed in 2019 and co-supervised with the Polytechnic University of Valencia. Dissertation focused on optimization of decision algorithms for vertical handovers in wireless networks.

Earned a Master’s in Software Quality in 2012 at Sidi Mohamed Ben Abdellah University.