Richard Oliveira is Doctoral Candidate, DC04, for MSCA SMARTTEST at the Institute of Electronics, Information Engineering and Telecommunications (IEIIT) from the Consiglio Nazionale delle Ricerche and the Departent of Electronics, Information and Bionengineering (DEIB) at Politecnico di Milano. He will carry out research on Bayesian Federated & models and algorithms for localization and mapping. The objective is to develop robust and efficient data-driven learning methods for localization, mapping, and tomographic inference in networked systems, with particular emphasis on stability and reliability in distributed settings. The Doctoral Candidate is expected to produce theoretical insights and practical algorithms that improve how information is learned and integrated across multiple sensing agents, contributing to more accurate, scalable, and dependable localization and mapping technologies.
He obtained his bachelor’s degree in Electrical Engineering at the University of California, San Diego in 2022. He also holds master’s degree in Electrical Engineering, Signal & Image Processing from the University of California, San Diego in 2024. He also completed an internship at General Atomics in San Diego as an Algorithms and Signal Processing Engineer within the Aeronautical Systems division.