Biography

Dr. Oumaima Moutik is a Senior Lecturer in Artificial Intelligence at Euromed University of Fes. She obtained her PhD in Computer Science in October 2024 with a thesis titled: Supervised and self-supervised deep learning techniques for human action recognition based on skeletal data in visual datasets ". Her research focuses on computer vision and deep learning, aiming to teach machines to perceive and understand human actions with precision and contextual awareness.

Her scientific work explores several complementary areas, notably Human Action Recognition (HAR), Human-Object Interaction (HOI) and self-supervised learning (SSL). Through these axes, Dr. Moutik aims to improve machines' ability to understand complex human activities in real environments by integrating contextual cues such as object interactions and scene semantics.

At Euromed University, Dr. Moutik teaches several courses, including image processing", the algorithms, and programming in C and Python. She contributes to the design of engineering programs in artificial intelligence, Big Data and robotics, and actively supervises undergraduate and master's students on applied AI and computer vision projects.

Research interests : Computer vision, Human action recognition, Self-supervised learning, Deep learning, Scene understanding, AI applications in sports and health.