Summary
Lucas Pacheco is a computer scientist and Specialist Researcher at CPQD with a decade of experience at the intersection of AI, edge computing, and cybersecurity. He holds a joint PhD from the University of Bern and the Federal University of Pará and focuses on robust, efficient federated learning for mobile and vehicular networks. His research output includes over 20 international publications, six Q1 IEEE articles, and an IEEE PerCom 2024 Best Paper Award, reflecting both depth and practical relevance. Comfortable with low-level systems like Linux and C++, he bridges theoretical advances and deployment constraints in resource-constrained environments. Known to be a coffee aficionado, he combines meticulous experimental rigor with a taste for reproducible, production-aware research.
10 years of coding experience
5 years of employment as a software developer
Master's Degree, Electrical Engineering, Master's Degree, Electrical Engineering at Universidade Federal do Pará
Doutorado, Computer Science, Doutorado, Computer Science at Universität Bern
Portuguese, English, German