PhD candidate working on cooperation in multi-agent systems through Multi-Agent Reinforcement Learning (MARL). He is affiliated with the Distributed Systems and Autonomy (DSA) group, under supervision of Professor Shinkyu Park.

Biography

Lucas graduated in Electrical Engineering at the Federal University of Rio Grande do Norte (UFRN), Natal, Brazil, on December 2019. From January to July 2019, he was a visiting student at the Information Systems Lab/KAUST, when he worked on indoor localization systems using acoustic waves. In the following year, he joined KAUST as a MSc. student under the supervision of Dr. Tareq Al-Naffouri. He successfully obtained his MSc. degree in December 2021. His Master's thesis is titled A Bayesian Approach to D2D Proximity Estimation using Radio CSI Measurements, and the continuation of this work led to a journal publication at the IEEE Open Journal of the Communications Society. He is currently a Ph.D. student at the Distributed Systems and Autonomy Group/KAUST, under the supervision of Dr. Shinkyu Park.

Research Interests

Lucas' research interests are multi-agent systems, robotics, and deep learning (especially Multi-Agent Reinforcement Learning).

Qualifications

Education

Bachelor of Engineering (B.Eng.)
Electrical and Electronics Engineering, Federal University of Rio Grande do Norte, Brazil, 2019
Master of Science (M.S.)
Electrical and Computer Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2021

Languages

English
Full professional proficiency
Portuguese
Native or bilingual proficiency
French
Elementary proficiency
German
Elementary proficiency

Selected Publications

  • Bezerra, L. C. D., Kouzayha, N. ., Elsawy, H. ., Bader, A. ., & Al-Naffouri, T. . (2023). CSI-Based Proximity Estimation: Data-Driven and Model-Based Approaches. IEEE Open Journal of the Communications Society, 5. https://doi.org/10.1109/OJCOMS.2023.3339721 (Original work published 2023)