Postdoctoral Fellow, Computer Science
hh8yvn@jmu.edu
Contact Info
Education
- Ph.D. Computing, Fluminense Federal University (Universidade Federal Fluminense)
- M.S. Biosystems Engineering, Fluminense Federal University (Universidade Federal Fluminense)
- B.S. Environmental Engineering, Fluminense Federal University (Universidade Federal Fluminense)
Experience
- 2023 - 2025 Postdoctoral Research Associate, Discovery Partners Institute, University of Illinois System
- 2021 Researcher of Research and Development Project, AMBMET CONSULTORIA LTDA for Casa dos Ventos Comercializadora de Energia S.A
- 2018 Researcher of Research and Development Project, AMBMET CONSULTORIA LTDA for Statkraft and Valora Energia
- 2015-2016 Environmental Engineer, State Institute for the Environment (Instituto Estadual do Ambiente), Government of the State of Rio de Janeiro (Governo do Estado do Rio de Janeiro), Brazil
- 2013 Member of an extension project as an M.S. student, Fluminense Federal University (Universidade Federal Fluminense)
- 2012 - 2013 Member of a research project as an undergraduate student, Fluminense Federal University (Universidade Federal Fluminense)
- 2009 - 2011 Engineer Intern, Eletrobras Furnas
Research Interests
- Data Visualization
- Data and Visual Analytics
- Data Visualization Pedagogy
- Environmental Data
- Climate Modeling
- Urban Resilience
Research Opportunities
Application of AI to support data visualization teaching and learning
Faculty Mentors: Dr. Veiga and Dr. Byrd
Project Description
AI (Artificial Intelligence) is everywhere! It’s seen in every aspect of daily life, from health and fitness to education; all fueled by data. Lots of data! Data visualization is the process of transforming data into meaning. This project will give students an opportunity to explore the intersection of AI, data visualization and the multidisciplinary nature of the two fields. This project aims to investigate how AI has been applied in data visualization education, which approaches, techniques, and architectures have been adopted, and how they have contributed to teaching, learning, engagement, and curiosity in undergraduate courses. The findings will help identify successful practices, highlight gaps, and reveal opportunities for developing new approaches to enhance both teaching and learning experiences.
Professional Networks
