Expertise
Contact person, expertise
Publications
- Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
- Sparse neural networks with skip-connections for nonlinear system identification
- Sparse deep neural networks for modeling aluminum electrolysis dynamics
- A receding-horizon estimation and control framework for the content sequencing problem
- Wienerization Based Control of Nonlinear Systems
- A novel corrective-source term approach to modeling unknown physics in aluminum extraction process
- Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service
- Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade
- Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems
- Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality