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Publications


Books

1. Muhammad Usman and M. Usman, "Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities." IGI Global, USA. 2018. 1-125.. DOI: 10.4018/978-1-5225-5029-7
http://www.igi-global.com/book/predictive-analysis-large-data-actionable/185884  
2.

Usman, Muhammad. "Improving Knowledge Discovery through the Integration of Data Mining Techniques." IGI Global, USA. 2015. 1-361. Web. 3 Jul. 2015. doi:10.4018/978-1-4666-8513-0 http://www.igi-global.com/book/improving-knowledge-discovery-through-integration/124196

 

Book Chapter

  1. Muhammad Usman, "Integration of Data Mining and Statistical Methods to Improve Knowledge Discovery", Improving Knowledge Discovery through the Integration of Data Mining Techniques, pp. 1- 12, IGI Global, USA. 2015. doi: 10.4018/978-1-4666-8513-0.ch001

International Journals (Total Impact Points = 75.19)

  1. Muhammad Usman, Waseem Ahmed, and Alvis Fong, “Design and Implementation of a System for Comparative Analysis of Learning Architectures for Churn Prediction” IEEE Communications Magazine,2021. doi:10.1109/MCOM.110.2100145 [Impact Factor: 9.619]

  2. Affan Ahmed Toor, and Muhammad Usman, “Adaptive telecom churn prediction for concept-sensitive imbalance data streams” Journal of Supercomputing,2021. doi:10.1007/s11227-021-04021-x 2021 [Impact Factor: 2.47]

  3. Farah Younas, Jumana Nadir, Muhammad Usman, Muhammad Attique Khan, Sajid Ali Khan, Seifedine Kadry, and Yunyoung Nam, “An Artificial Intelligence Approach for Word Semantic Similarity Measure of Hindi Language” KSII Transactions on Internet & Information Systems, vol. 15, Issue no.6, pp. 52049-2068, 2021 [Impact Factor: 0.85]

  4. Sadaf Qazi, Muhammad Usman, Azhar Mahmood, Aaqif Afzaal Abbasi, Muhammad Attique, and Yunyoung Nam, “Smart Healthcare Using Data-Driven Prediction of Immunization Defaulters in Expanded Program on Immunization (EPI)” CMC-COMPUTERS MATERIALS & CONTINUA, vol. 626, Issue no.1, pp. 589-602, 2021 [Impact Factor: 3.77]

  5. Sadaf Qazi, Muhammad Usman, and Azhar Mahmood, “A data-driven framework for introducing predictive analytics into expanded program on immunization in Pakistan” Wiener klinische Wochenschrift, vol. 133, Issue no.13, pp. 695-702, 2021 [Impact Factor: 1.17]

  6. Alvis Fong, and Muhammad Usman, “Machine learning for end consumers” IEEE Consumer Electronics Magazine, vol. 9, Issue no.5, pp. 77-78, 2021 [Impact Factor:4.01]

  7. Affan Ahmed Toor, Muhammad Usman, Farah Younas, and Alvis Fong, “A Robust Systematic Approach for Ensuring Optimal Telecom Service Delivery” IEEE Communications Magazine, vol. 58, Issue no.8, pp. 49-53, 2020 [Impact Factor: 11.05]

  8. Affan Ahmed Toor, Muhummad Usman, Farah Younas, Mohamed Habib, and A.C.M Fong, “Efficient mining of IoT based data streams for advanced computer vision systems” Multimedia Tools and Applications, vol. 1, Issue no.16, 2020 [Impact Factor: 2.75]

  9. Sidra Tariq, Muhammad Usman, and Alvis Fong, “Selecting best predictors from large software repositories for highly accurate software effort estimation” Journal of Software: Evolution and Process, vol. 32, Issue no.10, pp. e2271, 2020 [Impact Factor: 1.27]

  10. Sadaf Qazi, and Muhammad Usman, “Critical Review of Data Analytics Techniques used in the Expanded Program on Immunization (EPI)” Current Medical Imaging, vol. 17, Issue no.1, pp. 39-55, 2021 [Impact Factor: 0.85]

  11. Muhammad Asad, Azhar Mahmood, and Muhammad Usman, “A machine learning-based framework for Predicting Treatment Failure in tuberculosis: A case study of six countries” Tuberculosis, vol. 123,2020. doi:10.1016/j.tube.2020.101944[Impact Factor: 3.13]

  12. Muhammad Islam, Muhammad Usman, Azhar Mahmood, Aaqif Afzal Abbasi, and Oh-Young Song, “Predictive analytics framework for accurate estimation of child mortality rates for Internet of Things enabled smart healthcare systems” International Journal of Distributed Sensor Networks, vol. 16,Issue no.5, 2020. doi:1550147720928897[Impact Factor: 1.51]

  13. Affan Ahmed Toor, Muhammad Usman, Farah Younas, Alvis Cheuk M.Fong, Sajid Ali Khan, and Simon Fong, “Mining massive E-health data streams for IoMT enabled healthcare systems” Sensors Sensors, vol. 20,Issue no.7, pp. 2131, 2020[Impact Factor: 3.57]

  14. Aunsia Khan, and Muhammad Usman, "Alzheimer’s Disease Prediction Model Using Demographics and Categorical Data" International Journal of Online and Biomedical Engineering (iJOE), vol. 15,Issue no.15, pp. 96-109, 2019[ISI indexed]

  15. Muhammad Afzaal, Muhammad Usman and A.C.M. Fong, “Tourism Mobile App With Aspect-Based Sentiment Classification Framework for Tourist Reviews” IEEE Transactions on Consumer Electronics, vol. 62, Issue no. 2, pp. 233 - 242, 2019 [Impact Factor: 1.80]

  16. Muhammad Afzaal, Muhammad Usman, A.C.M. Fong and Simon Fong "Multiaspect-based opinion classification model for tourist reviews" Expert Systems, vol. 36, Issue no. 2, 2019 [Impact Factor: 1.43]

  17. Muhammad Afzaal, Muhammad Usman and A.C.M. Fong “Predictive aspect-based sentiment classification of online tourist reviews” Journal of Information Science, vol. 45, Issue no. 3, 2018 [Impact Factor: 1.93]

  18. Muhammad Azeem and Muhammad Usman, “A fuzzy based churn prediction and retention model for prepaid customers in telecom industry” International Journal of Computational Intelligence Systems, vol. 11, Issue no. 1, pp. 66-78, 2018. [Impact Factor: 2.00]

  19. Syed M. Usman, Muhammad Usman and Simon Fong, “Epileptic Seizures Prediction Using Machine Learning Methods” Computational and Mathematical Methods in Medicine, doi:10.1155/2017/9074759,2017 [Impact Factor: 1.54]

  20. Azeem, M., Usman, M., & Fong, A. C. M. , "A churn prediction model for prepaid customers in telecom using fuzzy classifiers”, Telecommunication Systems. 2017 doi: 10.1007/s11235-017-0310-7. [Impact Factor: 1.52]

  21. Khan, S.A., Hussain, A., & Usman, M.: Reliable facial expression recognition for multi-scale images using weber local binary image based cosine transform features. Multimedia Tools and Applications, pp. 1-33, 2017. doi:10.1007/s11042-016-4324-z. [Impact Factor: 1.54]

  22. Muhammad Afzaal, Muhammad Usman, A. C. M. Fong, Simon Fong, and Yan Zhuang, “Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews,” Advances in Fuzzy Systems, vol. 16, 14 pages, 2016. [ISI Indexed]

  23. Muhammad Usman, M.Usman and Sohail Asghar, "A fuzzy-based methodology for accurate classification and prediction in large datasets" International Journal of Intelligent and Fuzzy Systems, vol. 31, Issue no. 3, pp. 1759-1768,2016. [Impact Factor: 1.42]

  24. Aunsia Khan, Lian-sheng Liu, Muhammad Usman and Simon Fong, "Early Diagnosis of Alzheimer’s disease Using Instance Based Learning Techniques", Journal of Medical Imaging and Health Informatics, vol 6, 1-8, 2016. [Impact Factor: 0.54]

  25. M. Usman and Muhammad Usman, “Multi-Level Mining of Association Rules from Warehouse Schema” Kuwait Journal of Science, 44, no. 1, 15-28, 2017. [Impact Factor: 0.69]

  26. Khan, S. A., Hussain, A., & Usman, M. (2016). “Facial expression recognition on real world face images using intelligent techniques: A survey” Optik-International Journal for Light and Electron Optics, 127(15), 6195-6203 [Impact Factor: 1.19]

  27. Usman and Muhammad Usman, “Multi-Level Mining and Visualization of Informative Association Rules” International Journal of Information Science and Engineering”, vol 32, Issue 4, 1061-1078, 2016. [Impact Factor: 0.46]

  28. S.A Khan, M. Usman, N. Riaz "Face Recognition via Optimized Features Fusion" International Journal of Intelligent and Fuzzy Systems. vol 28, Issue 4, pp:-1819-1828, (2015). IOS Press, Netherlands. DOI: 10.3233/IFS-141468 [Impact Factor: 1.42]

  29. S.A Khan, K. Kenza, M. Nazir, M. Usman "Proficient Lungs Nodule Detection and Classification Using Machine Learning Techniques" International Journal of Intelligent and Fuzzy Systems. vol 28, Issue 2, pp:-905-917, (2015). IOS Press, Netherlands. DOI: 10.3233/IFS-141372 [Impact Factor: 1.42]

  30. S.A Khan, A. Hussain, M. Usman, M. Nazir, N. Riaz, A.M Mirza "Robust Face Recognition Using Computationally Efficient Features "International Journal of Intelligent and Fuzzy Systems. vol 27, Issue 6, pp:-3131-3143, (2015). IOS Press, Netherlands. . DOI: 10.3233/IFS-141270 [Impact Factor: 1.42]

  31. Muhammad Usman, Russel Pears, A.C.M Fong "A data mining approach to knowledge discovery from multidimensional cube structure", Knowledge-Based Systems, 40, pp:36-49 (2013). DOI:http://dx.doi.org/10.1016/j.knosys.2012.11.008 [Impact Factor: 4.39]

  32. Muhammad Usman, Russel Pears, A.C.M Fong "Discovering diverse association rules from multidimensional schema", Expert Systems with Applications, vol.40(15), pp:5975–5996 (2013). DOI:10.1016/j.eswa.2013.05.031 [Impact Factor: 3.76]

  33. Muhammad Usman and Sohail Asghar "An architecture for integrated online analytical mining" International Journal of Emerging Technologies in Web Intelligence, vol.3(2), pp:74-99 (2011). [HEC "Y" Category]

  34. Muhammad Usman and Russel Pears "Integration of data mining and data warehousing: A practical methodology" International Journal of Advancements in Computing Technology, vol.2(3),pp:31-46 (2010). [HEC "Y" Category]

  35. Muhammad Usman, Sohail Asghar, Simon Fong "Integrated performance and visualization enhancement of OLAP using growing self-organizing neural networks" International Journal of Advances in Information Technology, vol.1(1),pp:26-37 (2010). [HEC "Y" Category]

International Conferences

  1. Kainat Khero, and Muhammad Usman, “A Critical Evaluation of Machine Learning and Deep Learning Techniques for COVID-19 Prediction” In Proceedings of SAI Intelligent Systems Conference, pp. 517-535, 2021 Springer, Cham.

  2. Muhammad Usman, Syed Haris, and A. C. M. Fong, “Prediction of Depression using Machine Learning Techniques: A Review of Existing Literature” In 2020 IEEE 2nd International Workshop on System Biology and Biomedical Systems (SBBS), pp. 1-3, 2020. IEEE.

  3. A. C. M. Fong, and Muhammad Usman, “Machine Thinking for Telehealth–Toward the Next Generation of Healthcare” In 2020 IEEE 2nd International Workshop on System Biology and Biomedical Systems (SBBS), pp. 1-3, 2020. IEEE.

  4. Jalil, S., and Muhammad Usman, “A Review of Phishing URL Detection Using Machine Learning Classifiers” In Proceedings of SAI Intelligent Systems Conference, pp. 646-665, 2020 Springer, Cham.

  5. Aunisa Khan and Muhammad Usman, “Early Diagnosis of Alzheimer's Disease Using Informative Features of Clinical Data” In Proceedings of the International Conference on Machine Vision and Applications (ICMVA), pp 56-60, 2018.

  6. Nida Khateeb, Muhammad Usman, “Efficient Heart Disease Prediction System using K-Nearest Neighbor Classification Technique”, In Proceedings of the International Conference on Big Data and Internet of Things (BDIOT), pp. 21-26, 2017.

  7. Tayyab M.R., Usman M., Ahmad W. (2018) A Machine Learning Based Model for Software Cost Estimation. In: Bi Y., Kapoor S., Bhatia R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 16. Springer.

  8. Affan Ahmed Toor, Muhammad Usman and Waseem Ahmed. " A critical review of density-based data stream clustering techniques" In Eleventh International Conference on Digital Information Management (ICDIM). IEEE, pp. 51-61, (2016).

  9. Zulfikar Ali and Muhammad Usman, "A framework for game engine selection for gamification and serious games", In Future Technologies Conference (FTC). IEEE, pp. 1199-1207, (2016).

  10. Muneeb Mirza, Muhammad Usman, Robert P. Biuk-Aghai and Simon Fong, “A Modular Approach for Implementation of Honeypots in Cyber Security” accepted for publication in Third International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics (IntelliSys), IEEE, (2016).

  11. Sidra Tariq, Muhammad Usman, Raymond Wong, Yan Zhuang, Simon Fong, “On Learning Software Effort Estimation, Third International Symposium on Computational and Business Intelligence, IEEE, pp. 79-84, (2015).

  12. Mahroosh Irfan, Muhammad Usman, Yan Zhuang, Simon Fong, “A Critical Review of Security threats in Cloud Computing” Third International Symposium on Computational and Business Intelligence, IEEE, pp. 105-111, (2015).

  13. Aunsia K, Muhammad Usman, “Early Diagnosis of Alzheimer Disease Using Machine Learning Techniques” In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Vol 1, Lisbon, Portugal, November 12-14, 2015. SciTePress ,ISBN 978-989-758-158-8, IEEE (2015).

  14. Awan, M., and Muhammad Usman. "Intelligent Analysis of Data Cubes Via Statistical Methods" In Tenth International Conference on Digital Information Management (ICDIM), IEEE, pp. 20-27, (2015).

  15. Jibran, M. and Muhammad Usman. "An Effective Model for Aspect Based Opinion for Social Reviews" In Tenth International Conference on Digital Information Management (ICDIM). IEEE, pp. 49-56, (2015).

  16. Afzaal, M., and Muhammad Usman, "A Novel Framework for Aspect Based Opinion Classification for Tourist Places" In Tenth International Conference on Digital Information Management (ICDIM). IEEE, pp. 1-9, (2015).

  17. Malik Irfan Shaukat and Muhammad Usman. "A Framework for Multi-Label Learning using Label Ranking and Correlation "Sixth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), IEEE, pp. 296-303, (2015).

  18. Mubashaar Raza and Muhammad Usman. "A Conceptual Model for Software Architecture Design and Evaluation."Sixth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), IEEE, pp. 247-254, (2015).

  19. Usman, M., Muhammad Usman, and Waseem Ahmad. "A conceptual model for multi-level mining and visualization of association rules" Ninth International Conference on Digital Information Management (ICDIM). IEEE, pp. 175-181, (2014).

  20. Sajid, Mashhood, Rubab Hussain, and Muhammad Usman. "A conceptual model for automated attendance marking system using facial recognition” Ninth International Conference on Digital Information Management (ICDIM). IEEE, pp. 7-10, (2014).

  21. Azeem, Muhammad, Muhammad Usman, and Waseem Ahmad. "Intelligent data cube construction and exploration" Ninth International Conference on Digital Information Management (ICDIM). IEEE, pp. 168-174, (2014).

  22. Muhammad Usman, Russel Pears, A.C.M. Fong "Data guided approach to generate multidimensional schema for targeted knowledge discovery" In Proc. of 10th Australasian Data Mining Conference (AusDM), vol. 134, pp:229-240, (2012).

  23. Muhammad Usman and Russel Pears "Multi level mining of warehouse schema" In Proc. of 3rd International Conference on Networked Digital Technologies (NDT), vol. 136, pp:395-408 (2011).

  24. Muhammad Usman and Russel Pears "A methodology for integrating and exploiting data mining techniques in the design of data warehouses" In Proc. of 6th International Conference on Advanced Information Management and Service, pp: 361-367 (2010).

  25. Muhammad Usman, Sohail Asghar, Simon Fong "Data mining and automatic OLAP schema generation" In Proc. of 5th International Conference on Digital Information Management (ICDIM), pp:35-43 (2010).

  26. Muhammad Usman, Sohail Asghar, Simon Fong "A conceptual model for combining enhanced OLAP and Data mining systems" In Proc. of 5th International Joint Conference on INC,IMS and IDC, pp:1958-1963 (2009).

  27. Muhammad Usman and Sohail Asghar "Enhancing OLAP performance and visualization" In Proc. of 6th Annual International Conference on CISTM, pp: 59-71 (2008).