- Develop ML/DL models for engineering and automotive applications.
- Identify engineering problems suitable for AI/ML and predictive analytics.
- Build predictive/surrogate models to reduce simulation and computational effort.
- Develop physics-guided ML models for engineering applications.
- Apply suitable deep learning architectures based on business/engineering problems.
- Develop AI-driven optimization and DoE solutions.