| 2026 | PERCOM | Dynamic Client Selector: A Double Deep Q-Learning Framework for Efficient Federated Learning. | Sangeen Khan, Md. Monjurul Karim, Muhammad Muzammal, Qiang Qu |
| 2026 | PERCOM | Dynamic Client Selector: A Double Deep Q-Learning Framework for Efficient Federated Learning. | Sangeen Khan, Md. Monjurul Karim, Muhammad Muzammal, Qiang Qu |
| 2019 | VTC | A Decentralised Disaster Detection Approach Using Image Data. | Romana Talat, Muhammad Muzammal, Moneeb Gohar, Arif Ur Rahman, Sandeep Pirbhulal |
| 2018 | ICDM | A Decentralized Approach for Negative Link Prediction in Large Graphs. | Faima Abbasi, Muhammad Muzammal, Qiang Qu |
| 2018 | MDM | ChainMOB: Mobility Analytics on Blockchain. | Bulat Nasrulin, Muhammad Muzammal, Qiang Qu |
| 2018 | VTC | Extension of Localized Routing to PMIP-SAE Based Mobile Networks. | Moneeb Gohar, Muhammad Muzammal, Arif Ur Rahman, Jin-Ghoo Choi, Seok Joo Koh |
| 2018 | WISE | A Robust Spatio-Temporal Verification Protocol for Blockchain. | Bulat Nasrulin, Muhammad Muzammal, Qiang Qu |
| 2018 | WISE | Renovating Watts and Strogatz Random Graph Generation by a Sequential Approach. | Sadegh Nobari, Qiang Qu, Muhammad Muzammal, Qingshan Jiang |
| 2018 | WISE | Enabling Blockchain for Efficient Spatio-Temporal Query Processing. | Ildar Nurgaliev, Muhammad Muzammal, Qiang Qu |
| 2016 | FIT | Test-Suite Prioritisation by Application Navigation Tree Mining. | Muhammad Muzammal |
| 2016 | FIT | Scene Completion Using Top-1 Similar Image. | Romana Talat, Muhammad Muzammal, Imran Siddiqi |
| 2015 | FIT | On Effectiveness of Fault-Seeding Using Interaction Patterns. | Tamim Ahmed Khan, Muhammad Muzammal, Anas Ijaz |
| 2011 | PAKDD | Mining Sequential Patterns from Probabilistic Databases. | Muhammad Muzammal, Rajeev Raman |
| 2010 | ADMA | On Probabilistic Models for Uncertain Sequential Pattern Mining. | Muhammad Muzammal, Rajeev Raman |