Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces. - Russell Ainslie; Siddhartha Shakya; John A. W. McCall; Gilbert Owusu (SGAI Conf., 2015)

Predictive planning with neural networks. - Russell Ainslie; John A. W. McCall; Siddhartha Shakya; Gilbert Owusu (IJCNN, 2016)

Predicting Service Levels Using Neural Networks. - Russell Ainslie; John A. W. McCall; Sid Shakya; Gilbert Owusu (SGAI Conf., 2017)

Tactical Plan Optimisation for Large Multi-Skilled Workforces Using a Bi-Level Model. - Russell Ainslie; John A. W. McCall; Sid Shakya; Gilbert Owusu (CEC, 2018)

Predicting Fluid Work Demand in Service Organizations Using AI Techniques. - Sara AlShizawi; Siddhartha Shakya; Andrzej Stefan Sluzek; Russell Ainslie; Gilbert Owusu (SGAI Conf., 2018)

Predicting Demand in IoT Enabled Service Stations. - Himadri Sikhar Khargharia; Siddhartha Shakya; Russell Ainslie; Sara AlShizawi; Gilbert Owusu (CogSIMA, 2019)

Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper). - Himadri Sikhar Khargharia; Siddhartha Shakya; Russell Ainslie; Gilbert Owusu (SGAI Conf., 2019)

Investigating RNNs for vehicle volume forecasting in service stations. - Himadri Sikhar Khargharia; Roberto Santana 001; Siddhartha Shakya; Russell Ainslie; Gilbert Owusu (SSCI, 2020)

Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations. - Himadri Sikhar Khargharia; Siddhartha Shakya; Russell Ainslie; Gilbert Owusu (SGAI Conf., 2021)

On Predicting the Work Load for Service Contractors. - Himadri Sikhar Khargharia; Siddhartha Shakya; Sara Sharif; Russell Ainslie; Gilbert Owusu (SGAI Conf., 2022)

Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. - Martin Fyvie; John A. W. McCall; Lee A. Christie; Alexandru-Ciprian Zavoianu; Alexander E. I. Brownlee; Russell Ainslie (SGAI Conf., 2023)

Distributionally robust resource planning under binomial demand intakes. - Ben Black; Russell Ainslie; Trivikram Dokka; Christopher Kirkbride (Eur. J. Oper. Res., 2023)

Mining Potentially Explanatory Patterns via Partial Solutions. - Giancarlo Antonino Pasquale Ignazio Catalano; Alexander E. I. Brownlee; David E. Cairns; John A. W. McCall; Russell Ainslie (GECCO Companion, 2024)

Explaining a Staff Rostering Problem Using Partial Solutions. - Giancarlo Antonino Pasquale Ignazio Catalano; Alexander E. I. Brownlee; David E. Cairns; John A. W. McCall; Martin Fyvie; Russell Ainslie (SGAI Conf. (2), 2024)

Interpretable Decision Trees to Predict Solution Fitness. - Giancarlo Antonino Pasquale Ignazio Catalano; Alexander E. I. Brownlee; David E. Cairns; Russell Ainslie; John A. W. McCall (GECCO, 2025)