| 2024 | ICRA | Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. | Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra |
| 2019 | PRICAI | Multi-step-ahead Cyclone Intensity Prediction with Bayesian Neural Networks. | Ratneel Deo, Rohitash Chandra |
| 2018 | IJCNN | Multi-Task Modular Backpropagation For Dynamic Time Series Prediction. | Rohitash Chandra |
| 2018 | IJCNN | Bayesian Multi-task Learning for Dynamic Time Series Prediction. | Rohitash Chandra, Sally Cripps |
| 2018 | IJCNN | Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction. | Gary Wong, Anuraganand Sharma, Rohitash Chandra |
| 2018 | IJCNN | Cyclone Track Prediction with Matrix Neural Networks. | Yanfei Zhang, Rohitash Chandra, Junbin Gao |
| 2017 | ICONIP | Dynamic Cyclone Wind-Intensity Prediction Using Co-Evolutionary Multi-task Learning. | Rohitash Chandra |
| 2017 | ICONIP | Towards an Affective Computational Model for Machine Consciousness. | Rohitash Chandra |
| 2017 | ICONIP | Multi-task Modular Backpropagation for Feature-Based Pattern Classification. | Rohitash Chandra |
| 2017 | ICONIP | Co-evolutionary Multi-task Learning for Modular Pattern Classification. | Rohitash Chandra |
| 2017 | ICONIP | Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction. | Rohitash Chandra, Lamiae Azizi, Sally Cripps |
| 2016 | CEC | Contribution based multi-island competitive cooperative coevolution. | Kavitesh Bali, Rohitash Chandra, Mohammad Nabi Omidvar |
| 2016 | CEC | On the relationship of degree of separability with depth of evolution in decomposition for cooperative coevolution. | Rohitash Chandra, Ratneel Deo, Kavitesh Bali, Anurag Sharma |
| 2016 | CEC | Multi-step-ahead chaotic time series prediction using coevolutionary recurrent neural networks. | Shamina Hussein, Rohitash Chandra, Anuraganand Sharma |
| 2016 | CEC | Cooperative neuro-evolutionary recurrent neural networks for solar power prediction. | Mashud Rana, Rohitash Chandra, Vassilios G. Agelidis |
| 2016 | ICONIP | Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. | Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh |
| 2016 | ICONIP | Unconstrained Face Detection from a Mobile Source Using Convolutional Neural Networks. | Shonal Chaudhry, Rohitash Chandra |
| 2016 | ICONIP | Chaotic Feature Selection and Reconstruction in Time Series Prediction. | Shamina Hussein, Rohitash Chandra |
| 2016 | ICONIP | Memetic Cooperative Neuro-Evolution for Chaotic Time Series Prediction. | Gary Wong, Rohitash Chandra, Anuraganand Sharma |
| 2016 | IJCNN | An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks. | Rohitash Chandra, Ratneel Deo, Christian W. Omlin |
| 2016 | IJCNN | Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction. | Ratneel Deo, Rohitash Chandra |
| 2015 | CEC | Multi-objective cooperative neuro-evolution of recurrent neural networks for time series prediction. | Rohitash Chandra |
| 2015 | CEC | Competitive two-island cooperative coevolution for real parameter global optimisation. | Rohitash Chandra, Kavitesh Bali |
| 2015 | CEC | Cooperative neuro-evolution of Elman recurrent networks for tropical cyclone wind-intensity prediction in the South Pacific region. | Rohitash Chandra, Kavina Dayal |
| 2015 | ICONIP | Multi-Island Competitive Cooperative Coevolution for Real Parameter Global Optimization. | Kavitesh K. Bali, Rohitash Chandra |
| 2015 | ICONIP | Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Separable Continuous Functions. | Kavitesh K. Bali, Rohitash Chandra, Mohammad Nabi Omidvar |
| 2015 | ICONIP | Coevolutionary Recurrent Neural Networks for Prediction of Rapid Intensification in Wind Intensity of Tropical Cyclones in the South Pacific Region. | Rohitash Chandra, Kavina S. Dayal |
| 2015 | ICONIP | Neuron-Synapse Level Problem Decomposition Method for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction. | Ravneil Nand, Rohitash Chandra |
| 2015 | ICONIP | Enhancing Competitive Island Cooperative Neuro-Evolution Through Backpropagation for Pattern Classification. | Gary Wong, Rohitash Chandra |
| 2015 | IJCNN | Application of cooperative neuro-evolution of Elman recurrent networks for a two-dimensional cyclone track prediction for the south pacific region. | Rohitash Chandra, Kavina Dayal, Nicholas Rollings |
| 2015 | IJCNN | Competitive two-island cooperative co-evolution for training feedforward neural networks for pattern classification problems. | Rohitash Chandra, Gary Wong |
| 2014 | IJCNN | Multi-objective cooperative coevolution of neural networks for time series prediction. | Shelvin Chand, Rohitash Chandra |
| 2014 | IJCNN | Cooperative coevolution of feed forward neural networks for financial time series problem. | Shelvin Chand, Rohitash Chandra |
| 2014 | IJCNN | Competitive two-island cooperative coevolution for training Elman recurrent networks for time series prediction. | Rohitash Chandra |
| 2013 | IJCNN | Adaptive problem decomposition in cooperative coevolution of recurrent networks for time series prediction. | Rohitash Chandra |
| 2011 | IJCNN | A memetic framework for cooperative coevolution of recurrent neural networks. | Rohitash Chandra, Marcus R. Frean, Mengjie Zhang |
| 2011 | IJCNN | Modularity adaptation in cooperative coevolution of feedforward neural networks. | Rohitash Chandra, Marcus R. Frean, Mengjie Zhang |