Hélio Lopes likes to develop and to apply advanced mathematical and computational techniques to solve real world problems of engineering, scientific or industrial relevance. His research is mainly related to the fields of Computer Graphics and Computational Modeling.
In the present, he is particularly interested in Data Science, Machine Learning and Process Mining and their applications to industrial problems.
His research initiatives include:
- Data science, machine learning and process mining
- Data structures and algorithms
- Computer Graphics and Visualization
- Computational geometry and topology
- Mesh generation and simulation
- Quantitative methods for insurance and finance
- Computational methods for the oil industry
