Summary
Amr Gomaa is a Senior AI Security Engineer and researcher with eight years of experience at the intersection of LLMs, multimodal interaction, and human-centered AI, currently splitting his time between MATVIS, DFKI, and a visiting research role at the University of Cambridge. He has led interdisciplinary teams and secured BMBF funding while driving applied research on LLM robustness, multimodal gesture recognition, and contextual agents for HCI, partnering with industry names like BMW, IAV, and Carl Zeiss. His background spans academia and telecom engineering, giving him rare operational experience from RF optimization at Vodafone to building safe, controllable interfaces for designers. Comfortable bridging research and product, he focuses on feasible ML solutions that make complex models more interpretable and controllable in real-world domains such as automotive, robotics, rehabilitation, and well-being.
8 years of coding experience
4 years of employment as a software developer
Deep Reinforcement Learning Nanodegree, Artificial Intelligence, Deep Reinforcement Learning Nanodegree, Artificial Intelligence at Udacity
BS, Electrical, Electronics and Communications Engineering, BS, Electrical, Electronics and Communications Engineering at Ain Shams University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universität des Saarlandes
Visiting PhD Candidate, Artificial Intelligence, Visiting PhD Candidate, Artificial Intelligence at University of Cambridge
High School, High School/Secondary Diplomas and Certificates, High School, High School/Secondary Diplomas and Certificates at ZLS