Diogo Baptista Costa
Investigador @Faculdade de Engenharia da Universidade do Porto
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WORK HISTORY
Investigador @Faculdade de Engenharia da Universidade do Porto
Porto, PT
Developing STL-based hybrid prediction models for univariate time series.Researching meta-knowledge extraction and algorithmic triggers to automate the selection of hybrid vs. traditional forecasting models based on dataset characteristics.Validating model performance and explainability within the scope of Responsible AI.
EDUCATION
Universidade de Coimbra
Specialization
Departamento de Engenharia Informática - Universidade de Coimbra
Bachelor's degree, Computer Science
Escola Secundária Infanta Dona Maria
Ensino Secundário, Ciências e Tecnologias
Faculdade de Engenharia da Universidade do Porto
Mestrado em Inteligência Artificial
ABOUT DIOGO BAPTISTA COSTA
As a dedicated student in the Department of Informatics Engineering at the University of Coimbra, I am passionate about leveraging technology to solve complex problems and drive innovation. My academic journey has equipped me with a solid foundation in software development, data analysis, and systems design. Currently, I am gaining practical experience at NTT DATA Europe & Latam, where I work as a Student Ambassador. I thrive in collaborative environments and enjoy working alongside diverse teams to achieve common goals. My commitment to advancing the field of informatics extends beyond the classroom. I recently presented a paper titled \"A Physics-Based Fault Tolerance Mechanism for UAVs’ Flight Controller\" at the European Dependable Computing Conference 2024 in Leuven, Belgium. There, I explored the critical challenge of enhancing UAV reliability by developing an innovative fault tolerance mechanism for flight controllers. This experience not only allowed me to develop a variety of soft skills but also reinforced my passion for the aeronautical industry.In my free time, I love doing outside sports, reading, exploring new technologies, and participating in hackathons. I am always eager to connect with like-minded professionals and explore opportunities for collaboration and further research.
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