CV Lattes
Ministério da Defesa (Brasil). Instituto Tecnológico de Aeronáutica (ITA) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Machine Learning (ML) researcher with more than 18 years of experience. Result-driven professional holding a Doctorate and a Master's degree in Electrical and Computer Engineering, both in machine learning. Experience in publishing scientific papers in relevant journals and conferences, with more than 18 years of working as a university professor (Artificial Intelligence (AI), Generative AI (GenAI), and Machine Learning). Experience advising more than 30 students from the Computer Science program (undergraduate and Master's degree).Co-authored and filed intellectual properties to the USPTO (involving traditional ML, GenAI, Explainable Artificial Intelligence (XAI), and Zero Trust (ZT) fields of study). Highly skilled in ML, GenAI, and AI, bridging theoretical knowledge with practical applications. (Source: Lattes Curriculum)
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The goal of this project is to implement and analyze techniques for speeding up reinforcement learning in multiple goal systems. Multiple goal problems can be described in many different ways. The focus here is on cases in which a single agent must learn simultaneously and online many independent sub-tasks resultant from an a priori decomposition of the problem at stake. There is therefor…
| 1 / 1 | Completed scholarships in Brazil |
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