PUBLICATIONS/CONFERENCES
1. Matloob, Irum, et al. "Data driven healthcare insurance system using machine learning and blockchain technologies." PeerJ Computer Science 11 (2025): e2980.
2. R. Rehman et al., "AI Driven Framework for Need-Based Insurance Plans Generation and Anomaly Detection Using Deep Learning Techniques," in IEEE Access, vol. 13, pp. 114069-114097, 2025, doi: 10.1109/ACCESS.2025.3583562.
3. Matloob, I., Khan, S., Rukaiya, R. et al. Healthcare fraud detection using adaptive learning and deep learning techniques. Evolving Systems 16, 72 (2025). https://doi.org/10.1007/s12530-025-09698-6
4. Rukaiya, R., Khan, S.A., Farooq, M.U. and Matloob, I., 2024. Communication architecture and operations for SDR-enabled UAVs network in disaster-stressed areas. Ad Hoc Networks, 160, p.103506.
5. Matloob, S. A. Khan, R. Rukaiya, M. A. K. Khattak and A. Munir, "A Sequence Mining-Based Novel Architecture for Detecting Fraudulent Transactions in Healthcare Systems," in IEEE Access, vol. 10, pp. 48447-48463, 2022, doi: 10.1109/ACCESS.2022.3170888.
6. Matloob I, Khan S, ur Rahman H, Hussain F. Medical Health Benefit Management System for Real-Time Notification of Fraud Using Historical Medical Records. Applied Sciences. 2020; 10(15):5144. https://doi.org/10.3390/app10155144
7. Matloob, S. A. Khan and H. U. Rahman, "Sequence Mining and Prediction-Based Healthcare Fraud Detection Methodology," in IEEE Access, vol. 8, pp. 143256-143273, 2020, doi: 10.1109/ACCESS.2020.3013962.
8. Matloob I, Khan SA, Hussain F, Butt WH, Rukaiya R, Khalique F. Need-Based and Optimized Health Insurance Package Using Clustering Algorithm. Applied Sciences. 2021; 11(18):8478. https://doi.org/10.3390/app11188478
9. Khalique, F.; Khan, S.A.; Butt, W.H.; Matloob, I. An Integrated Approach for Spatio-Temporal Cholera Disease Hotspot Relation Mining for Public Health Management in Punjab, Pakistan. Int. J. Environ. Res. Public Health 2020, 17, 3763. https://doi.org/10.3390/ijerph17113763
10. Rukaiya, S. A. Khan, M. U. Farooq, M. A. K. Khattak, I. Matloob and I. Nosheen, "A Stochastic Distribution Based Methodology to Estimate Control Phase Time for Software-Defined Radios in Tactical MANETs," in IEEE Access, vol. 9, pp. 71687-71698, 2021, doi: 10.1109/ACCESS.2021.3079173.
11. Matloob and S. Khan, "A Framework for Fraud Detection in Government Supported National Healthcare Programs," 2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2019, pp. 1-7, doi: 10.1109/ECAI46879.2019.9042126.
12. Syeda hina batool, irum matloob "Comparative Study and Improved Security Threats in Cloud Computing" IJCCE International Journal of Artificial intelligencae and knowledge discovery,VOL.4 No.4,2014 .
13. B. B. Chaoudhry, I. Matloob, N. Firdous, S. Yaqoob and R. Khalid, "Performing Walk-through Energy Audits in Smart Homes," 2023 International Conference on Communication, Computing and Digital Systems (C-CODE), Islamabad, Pakistan, 2023, pp. 1-6, doi: 10.1109/C-CODE58145.2023.10139882.
14. Ismaeel, A., Qayyum, A., Mehmood, M., Matloob, I., & Masood, S. Implementation of Renthub System: An Intelligent Online Rental Marketplace with ML-Powered Personalized Product Discovery and Recommendations.
15. A Semi Supervised GAN-Based Hybrid Framework for Anomaly Detection in Labeled and Unlabeled Industrial Sensor Data for Predictive maintenance Submitted to Evolving Systems.
16. Ayesha Tayyaba, Faiza Syed, Mehreen Sirshar, Irum Matloob, Hessa Alfrahi, “MCI detection from handwritten drawing test using Residual Vision Transformer” Scientific reports. (Submitted).
17. A deep learning framework for burn patient analytics: Predictive modeling, anomaly detection, and image classification, Under review in PEERJ.
18. Safdar, S., Sirshar, M., Matloob, I., Ameer, E., Talib, M., & Zahid, Z. (2024). A doctor's appointment scheduling system using ML to solve long patient queues in Pakistani government hospitals. International Journal of Information Systems and Computer Technologies (IJISCT), 4(2). https://doi.org/10.58325/ijisct.004.02.0130.
19. Safdar, S., Sirshar, M., Matloob, I., Ameer, E., Talib, M., & Zahid, Z. (2025). A Doctor’s Appointment Scheduling System Using ML To Solve Long Patient Queues In Pakistani Govt Hospitals . International Journal of Information Systems and Computer Technologies, 4(2), 14–26. https://doi.org/10.58325/ijisct.004.02.00130
