Research

Fields & Areas

Fields of Expertise and Research Areas

Transport Phenomena
- Heat Transfer
- Fluid Mechanics
- Computational Fluid Dynamics (CFD)
Scientific Computing
- Computer Programming
- Symbolic Computation
- Mathematical Modeling
Numerical Methods
- Finite Volume Methods (FVM)
- Finite Element Methods (FEM)
Intelligent Systems
- Machine Learning
- Deep Learning
- Optimization Techniques

Portfolio

Application of Scientific Machine Learning Techniques for Fluid Dynamics Analysis

The dynamic resistance curve serves as a highly sensitive indicator for real-time assessment of weld spot quality.

Modal Analysis of Fluid Dynamics

Numerical Methods for Simulating Transport Phenomena

Machine Learning Application for Weld Quality Characterization

The dynamic resistance curve serves as a highly sensitive indicator for real-time assessment of weld spot quality.

Application of Optimization Techniques in Industrial Environments

Operations Research enables optimal production scheduling by efficiently allocating resources and sequencing tasks to maximize productivity and minimize delays.

Numerical Modeling and Characterization of Oil Reservoirs

Computational representation of the physical and geological characteristics of the reservoir to predict hydrocarbon production and optimize its exploration.

Flight Dynamics Analysis and Control Surface Design

Study and optimization of an aircraft’s motion and stability through the design of aerodynamic control surfaces.

3D Modeling and Technical Drawings of Mechanical Systems

Creation of three-dimensional representations and detailed technical drawings of mechanical systems, aiming to design, analyze, and manufacture components with precision.

Fields & Areas#

Portfolio#

Fields & Areas

Portfolio