Biography

Dr. Meryam El Mouhtadi is an assistant professor in artificial intelligence and computer science at Euromed University of Fes (UEMF), Morocco. She obtained a Master's degree in computer science and telecommunications in 2012, then a PhD in engineering sciences in 2018 from the Faculty of Sciences of Rabat, under the supervision of Pr. Aboutajddine Driss, specializing in biometric image processing and intelligent multimedia systems. She joined UEMF in 2019 as an assistant professor at the School of Digital Engineering and Artificial Intelligence (EIDIA).

Her research lies at the intersection of medical imaging, biometrics, and smart/precision agriculture. Methodologically, she focuses on deep learning and Explainable AI (XAI), developing models based on Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) for real-world visual recognition.

In health, she works on medical image classification by integrating XAI techniques to improve interpretability and clinical trust. In agriculture, her research focuses on plant disease detection and monitoring crop phytosanitary status using UAV/drone imagery and data-efficient learning (including self-supervised and semi-supervised methods) to enable robust deployment in heterogeneous field environments. She has published in international journals and conferences, with citations in the fields of AI for health, biometrics, intelligent systems and precision agriculture.

Pr. El Mouhtadi leads the Virtual Reality (VR) laboratory and coordinated the "Big Data" and "Web and Mobile Application Engineering" programs from 2020 to 2024. Since 2025, she has been coordinator of the "Full-Stack Engineering & Multimedia" program. She supervises student projects in applied computer vision and data engineering, and also directs doctoral theses. She is also responsible for the "Digitalization and Artificial Intelligence" module within the University's Doctoral Studies Center (CEDoc).

• keywords : Artificial intelligence, sustainable development, Medical imaging; smart farming; Biometrics; Explainable AI; Vision Transformers; CNNs; XAI; Trustworthy AI.

• Teaching: Image Processing; Database Modeling; Programming (specify languages); Digitalization and Artificial Intelligence.