Gabriel De Oliveira Ramos is an assistant professor and researcher with 11 years of experience bridging academic rigor and practical AI applications, currently based in Rio Grande do Sul, Brazil. He holds a PhD with highest honours in Computer Science and completed a postdoctoral fellowship at VUB’s AI-Lab, where he worked on stable multi-agent learning for networks. His research focuses on applying multiagent reinforcement learning to real-world traffic problems, combining theoretical depth with systems-driven evaluation. Having taught large undergraduate cohorts and developed production software earlier in his career, he brings both classroom pedagogy and hands-on engineering experience to his work. Colleagues value his knack for turning complex multiagent theories into implementable solutions that address urban mobility challenges.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at Universidade Luterana do Brasil
Doctor of Philosophy (Ph.D.), Computer Science, with honours, Doctor of Philosophy (Ph.D.), Computer Science, with honours at Universidade Federal do Rio Grande do Sul
Contributions:15 releases, 30 pushes, 1 branch in 1 year 11 months
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Gabriel De Oliveira Ramos - Assistant Professor at Vrije Universiteit Brussel