Some papers which contain interesting results but due to time  (and other resourse) constraints (especially during COVID lock downs) could not be revised and published.

•  Approximate policy iteration using neural networks for storage problems (pdf)

• Column generation algorithms for the wafer-to-wafer integration problem. (pdf) (with Yves Crama, Frits Spieksma, and Guillerme Duvillie.) 

• Anomalous behaviour of dual-based heuristics. with Adam N Letchford and Mansoor Hasan.

• Understanding controlled EV charging impacts using scenario-based forecasting models (with Rahul Roy) (pdf)

• Non-parametric markdown pricing in highly constrained settings: a computational comparison.  (pdf)

• Public EV charging infrastructure - why charging behaviours matter for placement, ownership and operations? (with Sonali Sen Gupta)

• Data-driven heuristics for optimal transmission switching (with Juncheng Li and Guglielmo Lulli). (pdf)

• Using Surrogate Relaxation as a Matheuristic (with Adam Letchford and Mansoor Hasan)