Biography

Alae Ammour is a faculty researcher at the School of Digital Engineering and Artificial Intelligence (EIDIA) of the Euromed University of Fes (UEMF). A mechatronics engineer and PhD in artificial intelligence, his research focuses on the development of intelligent and innovative systems for the analysis and interpretation of complex data.

In particular, he is interested in designing diagnostic support systems based on handwriting to contribute to the early detection of neurodegenerative diseases such as Parkinson’s and Alzheimer’s. His research also explores optical character recognition (OCR), AI applied to robotics, notably for autonomous navigation, as well as advanced cybersecurity solutions.

Its approach combines machine learning, deep neural networks and statistical analysis to design reliable and adaptive tools. It aims to translate theoretical advances into concrete applications with high medical, industrial and technological impact.

At EIDIA, Alae Ammour is actively involved in training students in artificial intelligence, cognitive robotics and autonomous systems, while leading multidisciplinary research projects integrating AI, computer vision and cybersecurity.

Selected publications

• "Online Arabic and French handwriting of Parkinson’s disease: The impact of segmentation techniques on the classification results" (2021)

• "A New Semi-Supervised Approach for Characterizing the Arabic on-line Handwriting of Parkinson's Disease Patients" (2019)

• "Enhancing Arabic handwritten word recognition: a CNN-BiLSTM-CTC architecture with attention mechanism and adaptive augmentation" (2025)

• "Characteristics of Arabic handwriting on graphic tablet in neurodegenerative disease: preliminary results between patients with Alzheimer’s disease and healthy controls" (2022)

• "Prediction Potential Analysis of Arabic Diacritics and Punctuation Marks in Online Handwriting: A New Marker for Parkinson’s Disease" (2021)