| 2025 | PAKDD | Deep Surrogate Model to Predict the Effectiveness of Substrates for Absorbing CO | Nina Ghanbari Ghooshchi, Weihong Wang, Ashfaqur Rahman |
| 2025 | PAKDD | Inferring Sensor Metadata Based on Machine Learning for Portable Building Applications. | Ashfaqur Rahman, Mashud Rana, Mahathir Almashor, John McCulloch |
| 2024 | ICONIP | Optimizing CNNs with Gram Schmidt Non-iterative Learning for Image Recognition. | Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang |
| 2023 | IJCNN | Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. | Joel Janek Dabrowski, Ashfaqur Rahman |
| 2023 | IJCNN | Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. | Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang |
| 2023 | IVCNZ | Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph. | Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang, Abdul Sattar |
| 2023 | SENSYS | What's The Point: AutoEncoding Building Point Names. | Mahathir Almashor, Mashud Rana, John McCulloch, Ashfaqur Rahman, Subbu Sethuvenkatraman |
| 2022 | IVCNZ | A Novel Explainable Deep Learning Model with Class Specific Features. | Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang |
| 2022 | PAKDD | Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. | Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold |
| 2022 | VEHITS | Evaluating the Quality of Lane Change Event Detection: Effect of Situational Variables. | Merlijne Geurts, Jeroen H. Hogema, Emilia Silvas, Jan L. Souman, Ashfaqur Rahman, Johannes Hiller |
| 2020 | ICONIP | ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting. | Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman |
| 2020 | IJCNN | A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production. | Mashud Rana, Ashfaqur Rahman, Jiong Jin |
| 2020 | WiMob | Mobile Malware Detection with Imbalanced Data using a Novel Synthetic Oversampling Strategy and Deep Learning. | Mahbub E. Khoda, Joarder Kamruzzaman, Iqbal Gondal, Tasadduq Imam, Ashfaqur Rahman |
| 2019 | ICANN | Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. | Irena Koprinska, Mashud Rana, Ashfaqur Rahman |
| 2019 | ICONIP | Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. | Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers |
| 2019 | TrustCom | Selective Adversarial Learning for Mobile Malware. | Mahbub E. Khoda, Tasadduq Imam, Joarder Kamruzzaman, Iqbal Gondal, Ashfaqur Rahman |
| 2018 | ICSOC | Energy-Delay Co-optimization of Resource Allocation for Robotic Services in Cloudlet Infrastructure. | Mahbuba Afrin, Jiong Jin, Ashfaqur Rahman |
| 2018 | KDD | State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming. | Joel Janek Dabrowski, Ashfaqur Rahman, Andrew George, Stuart Arnold, John McCulloch |
| 2018 | PAKDD | Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction. | Mashud Rana, Ashfaqur Rahman, Liwan H. Liyanage, Mohammed Nazim Uddin |
| 2017 | GLOBECOM | Motion and Connectivity Aware Offloading in Cloud Robotics via Genetic Algorithm. | Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Manoj Panda |
| 2017 | ICML | Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. | Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey |
| 2017 | PAKDD | Behavior Classification of Dairy Cows Fitted with GPS Collars. | Robert Dunne, David Henry, Richard Rawnsley, Ashfaqur Rahman |
| 2017 | PAKDD | Thermal Stratification Prediction at Lake Trevallyn. | Ashfaqur Rahman, Philip Smethurst, Michael Attard, Rob Dunne |
| 2016 | ADC | An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations. | Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu, Ashfaqur Rahman |
| 2016 | GLOBECOM | A Cloud Robotics Framework of Optimal Task Offloading for Smart City Applications. | Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Dong Yuan |
| 2016 | IJCNN | A comparison of autoencoder and statistical features for cattle behaviour classification. | Ashfaqur Rahman, Daniel V. Smith, James Hills, Greg Bishop-Hurley, David Henry, Richard Rawnsley |
| 2014 | IJCNN | A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data. | Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, Greg Smith, John McCulloch |
| 2014 | IJCNN | A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools. | Andrew D. Hellicar, Daniel V. Smith, Ashfaqur Rahman, Ulrich Engelke, John M. Henshall |
| 2014 | PRICAI | Distributed Feature Selection with Big Sensor Data. | Claire D'Este, Chris Sharman, Ashfaqur Rahman |
| 2014 | PRICAI | Air Pollution Exposure Estimation and Finding Association with Human Activity using Wearable Sensor Network. | Ke Hu, Timothy Davison, Ashfaqur Rahman, Vijay Sivaraman |
| 2013 | ICNC | Spatial-temporal prediction of algal bloom. | Md. Sumon Shahriar, Ashfaqur Rahman |
| 2013 | ICNC | Applying context in appliance load identification. | Md. Sumon Shahriar, Ashfaqur Rahman, Daniel V. Smith |
| 2013 | IJCNN | Exploring mineral domains with genetic algorithm. | Ashfaqur Rahman, Ritaban Dutta, Daniel V. Smith |
| 2013 | IJCNN | Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm. | Ashfaqur Rahman, Brijesh K. Verma |
| 2013 | IJCNN | Impute vs. Ignore: Missing values for prediction. | Qianyu Zhang, Ashfaqur Rahman, Claire D'Este |
| 2012 | IJCNN | Influence of unstable patterns in layered cluster oriented ensemble classifier. | Ashfaqur Rahman, Brijesh K. Verma |
| 2012 | IJCNN | An hierarchical approach towards road image segmentation. | Ashfaqur Rahman, Brijesh K. Verma, David R. Stockwell |
| 2011 | IJCNN | Ensemble classifier composition: Impact on feature based offline cursive character recognition. | Ashfaqur Rahman, Brijesh K. Verma |
| 2010 | ICONIP | Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality. | Ashfaqur Rahman, Brijesh K. Verma, Xin Yao |
| 2010 | IJCNN | A novel ensemble classifier approach using weak classifier learning on overlapping clusters. | Ashfaqur Rahman, Brijesh K. Verma |
| 2004 | ICIP | Real-time temporal texture characterisation using block based motion co-occurrence statistics. | Ashfaqur Rahman, M. Manzur Murshed |