Summary
Feras Almasri is a postdoctoral researcher in geometric deep learning based in Brussels, bringing a decade of experience at the intersection of deep learning, computer vision, and applied engineering. He develops graph-embedding algorithms to compress and compare large-scale biopharmaceutical blueprints, accelerating and lowering the cost of drug development pipelines. His PhD work advanced image and multimodal super-resolution—recognized with a Best Paper at ACCV 2018 and top placements in international challenges—while emphasizing problem decoupling and classical image-processing hybrids. With dual training in computer engineering and criminology, he combines technical rigor with a systems-aware, investigative approach to complex problems. Early embedded and systems engineering roles (from airport systems to CAN bus implementations) give him a strong practical grounding for moving research into robust, deployable solutions. He also serves as a guest editor for Electronics MDPI, reflecting active engagement in the research community beyond his lab.
10 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Computer Engineer, Bachelor's degree, Computer Engineer at Philadelphia University
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Université libre de Bruxelles
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Vrije Universiteit Brussel
French, English, Arabic