Seeing the world. On board.
Detection, motion cues, and efficient inference for UAV perception.
Explore the workCOMPUTER VISION · APPLIED AI
Teaching
machines
to see.
I'm Ali, an AI researcher, engineer, and educator connecting visual perception with systems that work in the real world.
01 / SELECTED WORK
Ideas, built into systems.
A selection of research and engineering work across aerial perception, production ML, and geometry.
Models that make it into production.
From multilingual NLP to evaluation, optimization, and deployment.
Explore the work
From a pixel to a place.
Aerial target geolocation through camera pose and terrain geometry.
Explore the work03 / RESEARCH
Questions worth
looking into.
My PhD explored UAV navigation through computer vision and deep learning. My interests include obstacle perception, depth and motion, aerial geolocation, and efficient deployment.
Research & publications ↗Evolutionary algorithm for optimized CNN architecture search applied to real-time boat detection in aerial images
Journal of Real-Time Image Processing · Co-author
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
04 / BEYOND THE MODEL
Research informs the engineering.
Practice informs the teaching.
I teach AI and software engineering at ENIAD Berkane, drawing on hands-on work with embedded vision, production ML, and software systems.
A little more about me ↗05 / START A CONVERSATION
Have a problem
worth exploring?
For research collaborations, applied AI projects, or a conversation about teaching computer vision.
elhabchiali@gmail.com ↗