Here are some of the projects that I have participating and my contributions to these projetcs:
Teaching computer programming (MATLAB) to first-year engineering students, mentoring undergraduate thesis projects in disaster resilience, and supervising internal projects in disaster management, including data science, data collection, natural language processing, and data visualization following FAIR data principles.
Development of a ML framework to estimate flood economic losses by integrating resilience indicators and XAI techniques. The approach identifies drivers of impact, evaluates the effectiveness of measures, and supports informed decision-making.
Research for possible solutions to enhance semantic interoperability and data provenance in scientific repositories, taking the genomic area as a use case. This investigation bases on FAIR data principles, nanopublication and FAIR Knowlet schema.
Conducted research on estimating economic losses from floods in Spain. The work extended a machine learning model to integrate government interventions and resilience variables, enabling cost-benefit analyses for disaster mitigation. By using open datasets from Spanish authorities, the study assessed how interventions influence losses, providing interpretable outputs for urban planners and policymakers to prioritize resources and enhance flood resilience.
Worked as a researcher on the Incremental project, focusing on the adaptation of the Smart Mature Resilience framework into a self-assessment tool. Contributed to integrating the methodology into a dashboard, enabling cities and organizations to evaluate resilience performance, track progress, and inform strategic disaster management decisions.
Participate in developing and providing an infrastructure to enable healthcare facilities to collect and implement patient data management that carries SARS-CoV2, the new Coronavirus, ensuring the confidentiality and privacy of patient data, following the FAIR data principles.
Developed and taught courses on data visualization, data retrieval, Version Control Systems (VCS), research database management, COVID-19 sensitive data handling, SDG-focused computational topics, Linked Data, Semantic Web, SPARQL, FAIR Principles, and bioinformatics. Mentored student groups on final projects in databases, computer and society, and bioinformatics, and supervised undergraduate theses on bioinformatics, nanopublications, and SDG-related topics.
Worked at the RNP Research Data Network Working Group, intending to investigate open research data solutions focused on the Dataverse for the National Institute of Studies and Research (INEP) in Brazil. The process of feeding and managing the metadata of the Brazilian higher education census, and testing the scalability and interoperability between Dataverse and CKAN are some of the performed activities.
Work in the development of GiriasIO, which is a slang translation tool in order to improve the dialogue between two individuals from different linguistic niches.The proposed approach identifies slangs in messages of an instant messaging service, which can be altered by their synonyms, and may facilitate the understanding of excluded groups.
Developed FISHTRACKER in collaboration with the Computational Biology and Systems Laboratory at the Oswaldo Cruz Institute. FISHTRACKER is a video behavioral analysis system composed of desktop and web modules, coded in C++ using the OpenCV library. The application can monitor multiple subjects simultaneously, and users can configure their experiments through a web interface. These features streamline the management of data and metadata, facilitating wider adoption by researchers, as the system is open-source and cross-platform.