Interdisciplinary Framework
Although our leading members predominantly have doctoral grades in Mechanical Engineering, we are a STEM team with an interdisciplinary background and a mindset on strategic horizons. Globally, our skills fit into two major classical areas. Below, we list them, along with traditional knowledge domains addressed therein.
Major area 1: Engineering
Subjects include, but are not limited to:
- Numerical Methods
- Scientific Computing
- Computational Mechanics
- Modeling and Simulation
Major area 2: Computer Science
Subjects include, but are not limited to:
- Artificial Intelligence
- Machine Learning
- Analytics and Data Science
- Image Processing
For further information, see the page People.