| 2024 | CEC | Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. | Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen |
| 2020 | GECCO | Optimisation of large wave farms using a multi-strategy evolutionary framework. | Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner |
| 2019 | GECCO | A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters. | Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner |
| 2019 | ICONIP | Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. | Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner |
| 2018 | GECCO | A detailed comparison of meta-heuristic methods for optimising wave energy converter placements. | Mehdi Neshat, Bradley Alexander, Markus Wagner, Yuanzhong Xia |
| 2012 | ICCCI | Improving Nearest Neighbor Classification Using Particle Swarm Optimization with Novel Fitness Function. | Ali Adeli, Ahmad Ghorbani-Rad, M. Javad Zomorodian, Mehdi Neshat, Saeed Mozaffari |