| 2026 | GECCO | Machine Learning for Credit Approval: Enhancing Decision Accuracy and Explainability. | Mohamed Ahamed, Abubakar Siddique, Trung Nguyen, Muhammad Iqbal, Will N. Browne |
| 2026 | GECCO | Learning High-Order Feature Interactions in Supervised Learning Classifier Systems Using Code Fragments. | Le Ma, Abubakar Siddique, Trung Nguyen, Muhammad Iqbal, Will Browne |
| 2026 | GECCO | RASF-LCS: Ranked Attribute Selection and Distance-Based Rule Filtering for Interpretable Credit Scoring. | Ahamed Zahvie, Abubakar Siddique, Trung Nguyen, Muhammad Iqbal, Will Browne |
| 2026 | IWCMC | RIS-Enhanced Gaussian Mixture Deep Unfolding for Beamspace Channel Estimation in mmWave Massive MIMO. | Muhammad Iqbal, Tabinda Ashraf, Muhammad Sami Akram, Ayaz Ahmad, Adel Aldalbahi, Jen-Yi Pan |
| 2025 | GECCO | Evolving Modular Abstractions through Lateralized Learning in Classifier Systems. | Abubakar Siddique, Muhammad Iqbal, Will N. Browne, Gina M. Grimshaw |
| 2025 | ICASSP | Transformer-based Distributed Machine Learning for Downlink Channel Estimation in RIS-Aided Networks. | Muhammad Ahmed Mohsin, Syed Muhammad Jameel, Hassan Rizwan, Muhammad Iqbal, Tabinda Ashraf, Jen-Yi Pan |
| 2025 | WCNC | Deep Reinforcement Learning Optimized Intelligent Resource Allocation in Active RIS-Integrated TN-NTN Networks. | Muhammad Ahmed Mohsin, Hassan Rizwan, Muhammad Jazib, Muhammad Iqbal, Muhammad Bilal, Tabinda Ashraf, Muhammad Farhan Khan, Jen-Yi Pan |
| 2024 | GECCO | A Survey on Learning Classifier Systems from 2022 to 2024. | Abubakar Siddique, Michael Heider, Muhammad Iqbal, Hiroki Shiraishi |
| 2024 | IVCNZ | Enhancing Visual Focus: Incorporating Attention into Rule-Based Machine Learning. | Abubakar Siddique, Muhammad Iqbal, Will N. Browne |
| 2024 | SOFTCOM | Fusing Reconfigurable Intelligent Surfaces with 6G Non-Terrestrial Networks. | Muhammad Shoaib Ayub, Pablo Adasme, Thokozani Shongwe, Demstenes Zegarra Rodrguez, Renata Lopes Rosa, Muhammad Iqbal, Jen-Yi Pan |
| 2023 | GECCO | Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification. | Abubakar Siddique, Muhammad Iqbal, Shahab Ud Din, Will N. Browne |
| 2021 | APCC | Distributed beamforming using trial and error learning Algorithm. | Muhammad Iqbal, Tabinda Ashraf, Ayaz Ahmad, Sarmad Sohaib, Jen-Yi Pan, Steven S. W. Lee |
| 2020 | EuroSPI | Employability Assessment of Agile Methods for Software Quality: An Empirical Case Study. | Kamran Wadood, Muhammad Kashif Shahzad, Muhammad Iqbal |
| 2019 | ICRA | Circular and Concentric Formation of Kinematic Unicycles. | Muhammad Iqbal, Shun-ichi Azuma, John Leth, Trung Dung Ngo |
| 2018 | GLOBECOM | Devices to Devices (Ds2Ds) Communication: Towards Energy Efficient IoT. | Mudassar Ali, Mushtaq Ahmad, Muhammad Naeem, Ashfaq Ahmed, Muhammad Iqbal, Waleed Ejaz, Alagan Anpalagan |
| 2017 | ICONIP | Text Classification Using Lifelong Machine Learning. | Muhammad Hassan Arif, Xin Jin, Jianxin Li, Muhammad Iqbal |
| 2017 | ICTAI | Solving Social Media Text Classification Problems Using Code Fragment-Based XCSR. | Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal |
| 2017 | ISKE | Recital of supervised learning on review spam detection: An empirical analysis. | Faisal Khurshid, Yan Zhu, Chubato Wondaferaw Yohannese, Muhammad Iqbal |
| 2016 | CEC | Improving classification on images by extracting and transferring knowledge in genetic programming. | Muhammad Iqbal, Mengjie Zhang, Bing Xue |
| 2016 | CEC | Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features. | Francine Burling-Claridge, Muhammad Iqbal, Mengjie Zhang |
| 2016 | CEC | Integration of code-fragment based learning classifier systems for multiple domain perception and learning. | Yi Liu, Muhammad Iqbal, Isidro M. Alvarez, Will N. Browne |
| 2016 | CEC | A comprehensive strategy for mammogram image classification using learning classifier systems. | Abubakar Siddique, Muhammad Iqbal, Will N. Browne |
| 2016 | MSWIM | An Energy-Detection-Based Cooperative Spectrum Sensing Scheme for Minimizing the Effects of NPEE and RSPF. | Oladiran G. Olaleye, Muhammad Iqbal, Ahmed Aly, Dmitri D. Perkins, Magdy A. Bayoumi |
| 2016 | PAKDD | Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems. | Muhammad Iqbal, Bing Xue, Mengjie Zhang |
| 2016 | VTC | Utility Based Resource Management in D2D Networks Using Mesh Adaptive Direct Search Method. | Mushtaq Ahmad, Muhammad Naeem, Ashfaq Ahmed, Muhammad Iqbal, Alagan Anpalagan, Waleed Ejaz |
| 2014 | GECCO | Salient object detection using learning classifiersystems that compute action mappings. | Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang |
| 2014 | IAS | On the Formation Control of Multiagent Systems Under Nearly Cyclic Pursuit. | Muhammad Iqbal, Trung Dung Ngo |
| 2013 | CEC | Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2013 | GECCO | Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2013 | GECCO | Comparison of two methods for computing action values in XCS with code-fragment actions. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2012 | GECCO | Extracting and using building blocks of knowledge in learning classifier systems. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2011 | GECCO | Automatically defined functions for learning classifier systems. | Muhammad Iqbal, Mengjie Zhang, Will N. Browne |