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Research Publications
Journal Papers
2025
[j55]
Alkhrijah Y, Arif M, Usman SM, Khalid S, Jameel A, Khan F. ADNET: A 1D-CNN Feature Fusion-based Method for Alzheimer’s Disease Detection Using EEG Signals. Journal of Disability Research. 2025 Aug 4;4(4):20250633.
[j54]
Alkharijah, Y., Khalid, S., Usman, S., Jameel, A., & Hamid, D. (2025). Fusing Geometric and Temporal Deep Features for High-Precision Arabic Sign Language Recognition. Computer Modeling in Engineering & Sciences, 144(1), 1113.
[j53]
Alkhrijah, Y., Khalid, S., Usman, S. M., Jameel, A., Zubair, M., Aldossary, H., ... & Arif, S. (2025). Feature fusion ensemble classification approach for epileptic seizure prediction using electroencephalographic bio-signals. Frontiers in Medicine, 12, 1566870.
[j52]
Alam, S., Jameel, A., Parveen, Z., & Alnfrawy, E. (2025). SHRED: An Ensemble-Based Machine Learning Model to Sift Email Messages for Real-Time Spam Detection. IEEE Access.
[j51]
Almufareh, M. F., Tehsin, S., Humayun, M., Kausar, S., & Farooq, A. (2025). Attention-Based Approach for Arabic Sign Language Recognition, Supporting Differently Abled Persons. Journal of Disability Research, 4(4), 20250586.
[j50]
Asfand-e-Yar, M., Ahmad, M., & Hashir, Q. (2025, September 12). Text-based personality recognition based on user content. Journal of Data Science and Statistics, 6(3). https://ojs.jdss.org.pk/journal/article/view/1489
[j49]
Chishti S, Nosheen F, Fatima J, Sultan N, Khalid M. From CBC to clarity: Interpretable detection of beta-thalassemia carriers in imbalanced datasets. PLoS One. 2025 Sep 18;20(9):e0331985.
[j48]
Syeda, F., Jameel, A., Alani, N., Humayun, M., & Alwakid, G. N. (2025). Automated Detection and Severity Prediction of Wheat Rust Using Cost‐Effective Xception Architecture. Plant, Cell & Environment.
2024
[j47]
Hind Abbaoui, Salaheddine El Aoud, Syed Umaid Ali, Abdelilah Ghammaz, Hassan Belahrach, Saida Ibnyaich, Design, analysis and implementation of an optimized cost-effective octagonal patch antenna with UWB characteristics for 5G applications and beyond, AEU - International Journal of Electronics and Communications, 2024, 155655, ISSN 1434-8411.
[j46]
Tabassum, Muntaha & Mahmood, Saba & Bukhari, Amal & Alshemaimri, Bader & Daud, Ali & Khalique, Fatima. (2024). Anomaly-based threat detection in smart health using machine learning. BMC Medical Informatics and Decision Making. 24. 10.1186/s12911-024-02760-4.
[j45]
Saif, S., Tehseen, S., & Ali, S. S. (2024). Fake news or real? Detecting deepfake videos using geometric facial structure and graph neural network. Technological Forecasting and Social Change, 205, 123471.
[j44]
Rehman, S., Sultan, N., Fatima, J., Islam, M. N. U., & Khalid, M. (2024). Innovative hip-knee health evaluation: Leveraging pose estimation for single-leg stance postural stability assessment. Measurement and Control, 00202940241295875.
[j43]
Almufareh, M. F., Kausar, S., Humayun, M., & Tehsin, S. (2024). Empirical Assessment of Transfer Learning Strategies for Dementia Classification Using MRI Images. Journal of Disability Research, 3(4), 20240047.
[j42]
Almufareh, M. F., Kausar, S., Humayun, M., & Tehsin, S. (2024). A conceptual model for inclusive technology: advancing disability inclusion through artificial intelligence. Journal of Disability Research, 3(1), 20230060.
[j41]
Fahaad Almufareh, M., Tehsin, S., Humayun, M., & Kausar, S. (2024). Facial Classification for Autism Spectrum Disorder. Journal of Disability Research, 3(3), 20240025.
[j40]
Muhammad Asfand-e-yar, Qadeer Hashir, Asghar Ali Shah, Malik, Abdullah Alourani, & Khalil, W. (2024). Multimodal CNN-DDI: using multimodal CNN for drug to drug interaction associated events. Scientific Reports, 14(1).
2023
[j39]
Kausar, S., Younas, A., Kamal, M. Y., & Tehsin,. "Multi-Modal Data Fusion for Classification of Autism Spectrum Disorder Using Phenotypic and Neuroimaging Data." UMT Artificial Intelligence Review 3, no. 1 (2023).
[j38]
Almufareh, M.F.; Kausar, S.; Humayun, M.; Tehsin, S. Leveraging Motor Imagery Rehabilitation for Individuals with Disabilities: A Review. Healthcare 2023, 11, 2653.
[j37]
Asfandeyar, M., Hashir, Q., Tanvir, S. H., Khalil, W., (2023) Classifying Misinformation of User Credibility in Social Media Using Supervised Learning, CMC Tech Press, 75 (2), 2921-2938
[j36]
Ahmad, I., Shahnaz, A., Asfand-e-Yar, M., Khalil, W., Bano, Y., A Service Level Agreement Aware Online Algorithm for Virtual Machine Migration, CMC Tech Press, 74/1, 279-2
[j35]
Ali, S. U., Waqar, A., Aamir, M., Qaisar, S. M., & Iqbal, J. Model predictive control of consensus-based energy management system for DC microgrid. PloS one, 18(1), e0278110.
[j34]
Almufareh, M. F., Tehsin, S., Humayun, M., & Kausar, S. (2023). A Transfer Learning Approach for Clinical Detection Support of Monkeypox Skin Lesions. Diagnostics, 13(8), 1503
[j33]
Tehsin, S., Kausar, S., Jameel, A., Humayun, M., & Almofarreh, D. K. (2023). Satellite Image Categorization Using Scalable Deep Learning. Applied Sciences, 13(8), 5108.
[j32]
Tehsin, S., Kausar, S., & Jameel, A. (2023). Diabetic wounds and artificial intelligence: A mini-review. World Journal of Clinical Cases, 11(1), 84
2022
[j31]
Shehzad, F., Khan, M. A., Asfand E Yar, M., Two-Stream Deep Learning Architecture-Based Human Action Recognition, CMC Tech Press, 74 (3), 5931-5949.
[j30]
Raza Shah, N., Maud, A. R. M., Bhatti, F. A., Ali, M. K., Khurshid, K., Maqsood, M., & Amin, M. (2022). Hyperspectral anomaly detection: a performance comparison of existing techniques. International Journal of Digital Earth, 15(1), 2078-2125.
[j29]
Tehsin, S., Kausar, S., & Syed, A. B. (2022). Nuclei Spotting for Computational Pathology in Microscopic Images. UMT Artif. Intell. Rev, 2(1), 00-00.
[j28]
Saif, S., Tehseen, S., Ali, S. S., Kausar, S., & Jameel, A. (2022). Generalized Deepfake Video Detection Through Time-Distribution and Metric Learning. IT Professional, 24(2), 38-44.
[j27]
Majid, A., Kausar, S., Tehsin, S., & Jameel, A. (2022). A Fast Panoptic Segmentation Network for Self-Driving Scene Understanding. Comput. Syst. Sci. Eng., 43(1), 27-43.
[j26]
Semma, A., Hannad, Y., Siddiqi, I., Lazrak, S., & Kettani, M. E. Y. E. (2022). Feature learning and encoding for multi-script writer identification. International Journal on Document Analysis and Recognition (IJDAR), 1-15.
[j25]
Hussain, S. F., Khan, M., & Siddiqi, I. (2022). Co-clustering based classification of multi-view data. Applied Intelligence, 1-17.
[j24]
Aleem, A., Tehsin, S., Kausar, S., & Jameel, A. (2022). Target Classification of Marine Debris Using Deep Learning. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 32(1), 73-85.
[j23]
Yasmeen, U., Khan, M, A., Tariq, U., Khan, J, A., Asfand-E- Yar, M. (2022). Citrus Diseases Recognition Using Deep Improved Genetic Algorithm (CMC Tech Science), 3667-3684.
[j22]
Hussain, N., Khan, M, A., Tariq, U., Kadry, S., Asfandeyar, M., (2022). Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection (CMC Tech Science), 3281-3294.
[j21]
Majid, A., Khan, M, A., Alhaisoni, M., Asfandeyar, M. (2022). An Integrated Deep Learning Framework for Fruits Diseases Classification (CMC Tech Science), 1387-1402.
[j20]
Ahmed, A., Qureshi, K. N., Anwar, M., Masud, F., Imtiaz, J., & Jeon, G. (2022). Link-based penalized trust management scheme for preemptive measures to secure the edge-based internet of things networks. Wireless Networks.
[j19]
Naseem, S., Alhudhaif, A., Anwar, M., Qureshi, K. N., & Jeon, G. (2022). Artificial general intelligence-based rational behavior detection using cognitive correlates for tracking online harms. Personal and Ubiquitous Computing.
[j18]
Qureshi, K. N., Alhudhaif, A., Haider, S. W., Majeed, S., & Jeon, G. (2022). Secure Data Communication for Wireless Mobile Nodes in Intelligent Transportation Systems. Microprocessors and Microsystems, 104501.
[j17]
Nazakat, M., Khalique, F., Khan, S.A., & Ahsan, N. (2022). Towards Data Driven Spatio-Temporal Threshold Identification Based on Cost Effective Public Health Information Management Framework. IEEE Access, 10, 16634-16643.
[j16]
Ali, S. U., Aamir, M., Jafri, A. R., Subramaniam, U., Haroon, F., Waqar, A., & Yaseen, M. (2021). Model predictive control—Based distributed control algorithm for bidirectional interlinking converter in hybrid microgrids. International Transactions on Electrical Energy Systems, 31(10), e12817.
2021
[j15]
Ismail, S., Akram, U., & Siddiqi, I. (2021). Heart rate tracking in photoplethysmography signals affected by motion artifacts: a review. EURASIP Journal on Advances in Signal Processing, 2021(1), 1-27
[j14]
Abbas, F., Gattal, A., Djeddi, C., Siddiqi, I., Bensefia, A., & Saoudi, K. (2021). Texture feature column scheme for single‐and multi‐script writer identification. IET Biometrics, 10(2), 179-193.
[j13]
Diaz, M., Moetesum, M., Siddiqi, I., & Vessio, G. (2021). Sequence-based dynamic handwriting analysis for Parkinson’s disease detection with one-dimensional convolutions and BiGRUs. Expert Systems with Applications, 168, 114405.
[j12]
Zaib, M. H., Bashir, F., Qureshi, K. N., Kausar, S., Rizwan, M., & Jeon, G. (2021). Deep learning based cyber bullying early detection using distributed denial of service flow. Multimedia Systems, 1-20.
[j11]
Abbasi, J. S., Bashir, F., Qureshi, K. N., Najam ul Islam, M., & Jeon, G. (2021). Deep learning-based feature extraction and optimizing pattern matching for intrusion detection using finite state machine. Computers & electrical engineering, 92, 107094.
[j10]
Aliero, M. S., Qureshi, K. N., Pasha, M. F., Ghani, I., & Yauri, R. A. (2021). Systematic Mapping Study on Energy Optimization Solutions in Smart Building Structure: Opportunities and Challenges. Wireless Personal Communications.
[j09]
ALiero, M. S., Qureshi, K. N., Pasha, M. F., & Jeon, G. (2021). Smart Home Energy Management Systems in Internet of Things networks for green cities demands and services. Environmental Technology & Innovation
[j08]
Dhawankar, P., Kumar, A., Crespi, N., Busawon, K., Qureshi, K. N., Javed, I. T., . . . Kaiwartya, O. (2021). Next-Generation Indoor Wireless Systems: Compatibility and Migration Case Study. IEEE Access.
[j07]
Iqbal, S., Maryam, H., Qureshi, K. N., Javed, I. T., & Crespi, N. (2021). Automised flow rule formation by using machine learning in software defined networks-based edge computing. Egyptian Informatics Journal.
[j06]
Nazar, M. J., Alhudhaif, A., Qureshi, K. N., Iqbal, S., & Jeon, G. (2021). Signature and flow statistics-based anomaly detection system in software-defined networking for 6G internet of things network. International Journal of System Assurance Engineering and Management.
[j05]
Qureshi, K. N., Alhudhaif, A., Arshad, N., Kalsoom, U., & Jeon, G. (2021). Data analysis based dynamic prediction model for public security in internet of multimedia things networks. Multimedia Tools and Applications.
[j04]
Qureshi, K. N., Alhudhaif, A., Hussain, A., Iqbal, S., & Jeon, G. (2021). Trust aware energy management system for smart homes appliances. Computers & electrical engineering.
[j03]
Khalique, F., & Khan, S.A. (2021). Multiple Disease Hotspot Mining for Public Health Informatics in Resource Starved Settings: Study of Communicable Diseases in Punjab, Pakistan. IEEE Access, 9, 89989-89998.
[j02]
Sultan Nadia, Asif Mahmood Mughal, Muhammad Najam ul Islam, and Fahad Mumtaz Malik. (2021). High-gain observer-based nonlinear control scheme for biomechanical sit to stand movement in the presence of sensory feedback delays, PLOS ONE 16.8.
[j01]
Sultan Nadia, Muhammad Najam ul Islam, and Asif Mahmood Mughal. (2021). Nonlinear postural control paradigm for larger perturbations in the presence of neural delays. Biological Cybernetics, 1-18.
Conference Papers
2025
[c24]
Asfand-E-Yar, M., Roheen, F., Abdullah, M., & Burhan Ud Din. (2025, March 21–23). NLP-driven copyright legal search engine. In Proceedings of the 7th International Conference on Natural Language Processing (ICNLP 2025). IEEE. https://doi.org/10.1109/ICNLP65360.2025.11108440
[c23]
Hashir, Q., Majeed, L. R., Mahmood, S., & Asfand-E-Yar, M. (2025, July 15). TRUSTd: Framework for trustworthy data in IoMT for the judgment of drug to drug interactions. In Proceedings of the 3rd International Conference on Computing, IoT and Data Analytics (ICCIDA’24). Springer. https://link.springer.com/chapter/10.1007/978-3-031-87154-2_30
[c22]
Asfand-E-Yar, M., Roheen, F., Abdullah, M., Ud Din, B., & Tanvir, S. H. (2025, February). NLP search engine for the legal ordinance and cases. In 2024 21st International Conference on Frontiers of Information Technology (FIT) (pp. [page numbers if known]). IEEE. https://doi.org/10.1109/FIT63703.2024.10838351
2024
[c21]
Najam ul Islam, Safee ur Rehman, Nadia Sultan “Improving Postural Stability: A Quasi-Sliding Mode Control Approach for Bio-Mechanical System” 12th IEEE 12th International Conference on Control, Mechatronics and Automation (ICCMA 2024) UK, from November 11-13, 2024.
[c20]
Najam ul Islam, Safee ur Rehman, Nadia Sultan “Improving Postural Stability: A Quasi-Sliding Mode Control Approach for Bio-Mechanical System” 12th IEEE 12th International Conference on Control, Mechatronics and Automation (ICCMA 2024) UK, from November 11-13, 2024.
[c19]
Haroon, F., Waqar, A., Aamir, M., Abbas, S. H., Ali, S. U., & Qaisar, S. M. Experimental Verification of Rotating Sliding Mode Control with Composite Reaching Law Approach for Voltage Source Inverters.
[c18]
Haroon, F., Waqar, A., Aamir, M., Abbas, S. H., Ali, S. U., & Qaisar, S. M. Experimental Verification of Rotating Sliding Mode Control with Composite Reaching Law Approach for Voltage Source Inverters.
[c17]
Hashir, Q., Rukh Majeed, L., Mahmood, S., & Asfand E Yar, M. TRUSTd: Framework for Trustworthy Data in IOMT for the judgment of Drug to Drug interactions. Springer.09/icnlp60986.2024.10692520
[c16]
Nusrat, M., & Asfandeyar, M. (2024). Identify biasness in sentiment analysis. 2022 4th International Conference on Natural Language Processing (ICNLP), 147–151. https://doi.org/10.1109/icnlp60986.2024.10692520
[c15]
Maree M., Azmat f., Jameel A., (2024) ROLE OF AI IN HIGHER EDUCATION: OPPOPTUNITIES AND CHALLENGES OF USING AI TECHNOLOGIES, SEFI 2024, 2nd – 5th September 2024.
2023
[c14]
Asfand-e-Yar, S. Aftab, Q. Hashir and T. Talha, "From Tweets to Tolerance: Empowering Cyberbullying Detection with Deep Learning Models," 2023 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2023, pp. 232-237
[c13]
O. Mustafa, M. K. Ali, M. Moetesum and I. Siddiqi, "ChartEye: A Deep Learning Framework for Chart Information Extraction," 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, Australia, 2023
2022
[c12]
S. Safdar, S. Kausar, S. Tehsin, M. Mahmood and G. Naif Alwakid, "Prediction of Specific Language Impairment in Children using Cepstral Domain Coefficients," 2023 International Conference on Business Analytics for Technology and Security (ICBATS), Dubai, United Arab Emirates, 2023, pp. 1-1
[c11]
N. Mushtaq, K. Ali, M. Moetesum and I. Siddiqi, "Impact of Demographics on Automated Criminal Tendency Detection from Facial Images," 2022 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2022, pp. 88-93, doi: 10.1109/FIT57066.2022.00026.
[c10]
K. Ali, M. Moetesum, I. Siddiqi and N. Mahmood, "Marine Object Detection using Transformers," 2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 2022, pp. 951-957, doi: 10.1109/IBCAST54850.2022.9990099.
[c09]
Bibi, A., Moetesum, M., & Siddiqi, I. (2022, August). Deep Vision for Pest Detection in Corn Fields. In 2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 343-348). IEEE.
[c08]
Rustum, I., Asfandeyar, M. (2022, April). An Ontology Model Approach for Cloud Service Level Agreement (SLAs), International Conference on Business Analytics for Technology and Security, (pp. 1-5). IEEE
2021
[c07]
Zeeshan, M. O., Siddiqi, I., & Moetesum, M. (2021, September). Two-Step Fine-Tuned Convolutional Neural Networks for Multi-label Classification of Children’s Drawings. In International Conference on Document Analysis and Recognition (pp. 321-334). Springer, Cham.
[c06]
Nasir, S., Siddiqi, I., & Moetesum, M. (2021, September). Writer Characterization from Handwriting on Papyri Using Multi-step Feature Learning. In International Conference on Document Analysis and Recognition (pp. 451-465). Springer, Cham.
[c05]
Faisal, T., Kausar, S., Multani, M. K., & Parevez, M. (2021, July). Automatic Vertebra Fracture & Classification using Dual Energy X-Ray Absorptiometry. In 2021 IEEE International Conference on Health, Instrumentation & Measurement, and Natural Sciences (InHeNce) (pp. 1-4). IEEE.
[c04]
Iqbal, A., Tehsin, S., Kausar, S., & Mishal, N. (2021, April). Malicious Image Detection Using Convolutional Neural Network. In 2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) (pp. 1-6). IEEE.
[c03]
Qadir, M., Tehsin, S., & Kausar, S. (2021, April). Detection of Copy Move Forgery in Medical Images Using Deep Learning. In 2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) (pp. 1-6). IEEE.
[c02]
Tauseef, H., Asfand-e-yar, M. (2021, September). Extractive summarization of text using Supervised and Unsupervised techniques, International Conference on Natural Language Processing, (pp. 37-41), IEEE.