- Introduction to stochastic control
- Approximation and Weak Convergence Methods for Random Processes with Applications to Stochastic Systems Theory (Signal Processing, Optimization, and Control)
- Stochastic Approximation Algorithms and Applications (Applications of Mathematics)
- Heavy Traffic Analysis of Controlled Queueing and Communications Networks
- Numerical Methods for Stochastic Control Problems in Continuous Time (Stochastic Modelling and Applied Probability)