Optimization estimation data science

• Advanced nonlinear model predictive control: Theory, numerical aspects, and applications
  
• Augmented neural networks
  
• Combined grey-black-box (GBB) model identification.
  
• Data-driven control design for nonlinear systems
  
• Data-driven control of autonomous vehicle and fleets
  
• Data-driven control of biomedical systems
  
• Design of advanced control algorithms for aerospace applications
  
• Design of experiments
  
• Development and assessment of model-based and sensor-based algorithms for combustion and emission control in diesel engines
  
• Direct virtual sensors
  
• Modeling and Control of Mobility-on-Demand Systems
  
• Modeling, optimization, and control of complex and networked systems
  
• Nonlinear model predictive control for automotive applications
  
• Polynomial optimization in control
  
• Quantum optimization for complex system design and control
  
• System identification via machine learning
  
• Text data analytics