Evolutionary algorithm for optimized CNN architecture search applied to real-time boat detection in aerial images
Journal of Real-Time Image Processing · Co-author
RESEARCH / COMPUTER VISION
Perception with
a sense of place.
Understanding the scene is only the beginning. How can a camera help an autonomous system navigate, locate a target, and operate within real constraints?
DOCTORAL RESEARCH · 2025
UAV navigation through computer vision & deep learning.
PhD in Computer Science and Artificial Intelligence, ENSA Oujda, Mohammed Premier University. My work connects obstacle perception, visual motion and depth cues, and aerial target geolocation.
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SELECTED PUBLICATIONS
Papers & collaborations.
Links below point to the publication records. Co-authored results belong to the full research team.
Social distance monitoring using YoloV4 on aerial drone images
E3S Web of Conferences · First author
CNN Adaptations for Boat Detection in Aerial Images Tested on Yolo v2
ISAECT · Co-author
ONGOING INTERESTS
Where I’m looking next.
Visual navigation
Obstacle perception, motion-based depth, and reliable visual cues for drones and mobile robots.
Efficient perception
Models and inference pipelines designed with hardware, latency, and evaluation constraints in mind.
Learning from stronger models
Exploring how foundation models and multimodal representations can inform practical robotic perception.