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Dr. Imran Ihsan
Associate Professor
Contact Information
  [email protected], www.imranihsan.com
  651

Education Detail
PhD (Knowledge Graphs, NLP) Capital University of Science and Technology, Islamabad, Pakistan
MS (Multimedia, E-Learning) Mohammad Ali Jinnah University, Islamabad, Pakistan
MCS (Software Engineering) Hamdard University, Islamabad, Pakistan
MSc (Physics) University of the Punjab, Lahore, Pakistan

1. Hafeez, A., Ihsan, I., Rehman, A., Kim, D., & Sher, T. (2023). Performance evaluation of collaborative filtering recommender system on movielens dataset. Information Processing and Management, Under Review.2. Hussain, K., & Ihsan, I. (2023). Sentiment analysis in movie reviews using knowledge graph embeddings and deep learning classification. Journal of Computing & Biomedical Informatics, 6, 222–229. doi:https://doi.org/10.56979/601/20233. Ihsan, I. (2023). Connected research: An ontological model for scientific discourse in scholarly knowledge graphs. Umanistica Digitale, Under Review.4. Ihsan, I., Rahman, H., Shaikh, A., Sulaiman, A., Rajab, K., & Rajab, A. (2023). Improving in-text citation reason extraction and classification using supervised machine learning techniques. Computer Speech and Language, 82, 101526. doi:https://doi.org/10.1016/j.csl.2023.1015265. Ihsan, I., & ur Rehman, H. (2023). Sequential and transformer based citation reason analysis using CCRO ontology classes. Scientometrics, Under Review.6. Khurshid, U., & Ihsan, I. (2023). Knowledge graph embedding based sentiment analysis of product reviews using LSTM and fuzzy logic. Journal of Computing & Biomedical Informatics, 5, 240–252. doi:https://doi.org/10.56979/501/20237. Salam, M., & Ihsan, I. (2023). Generative knowledge graph construction of in-text citation data. Journal of Computing & Biomedical Informatics, 5, 254–264. doi:https://doi.org/10.56979/501/20238. Shahzad, N., Janjua, N. K., Ihsan, I., & Rahman, H. (2023). A temporal scope prediction for storyline generation using events’ knowledge graphs. Journal of Computing & Biomedical Informatics, 5, 150–163. doi:https://doi.org/10.56979/501/20239. Sher, T., Ihsan, I., Rehman, A., Kim, D., & Hafeez, M. A. (2023). Deep insights into citation patterns: Graph attention network approach. IEEE Access, Under Review.10. Sher, T., Rehman, A., Kim, D., & Ihsan, I. (2023). Exploiting data science for measuring the performance of technology stocks. Computers, Materials Continua, 76, 2979–2995. doi:https://doi.org/10.32604/cmc.2023.03655311. Arshad, M. Z., Rahman, H., Tariq, J., Riaz, A., Imran, A., Yasin, A., & Ihsan, I. (2022). Digital forensics analysis of iot nodes using machine learning. Journal of Computing & Biomedical Informatics, 4, 1–12. doi:10.56979/401/2022/10712. Ihsan, I., Ullah, M., Khan, R. U., & Uddin, M. I. (2022). SEAL: Semantically enriched authoring in LaTeX A model for scientific discourse. IEEE Access, 10, 13525–13535. 􀃮 doi:10.1109/ACCESS.2022.314595413. Jubeen, M., Rahman, H., Rahman, A.-u., Wahid, S. A., Imran, A., Yasin, A., & Ihsan, I. (2022). An automatic breast cancer diagnostic system based on mammographic images using convolutional neural network classifier. Journal of Computing & Biomedical Informatics, 4, 77–86. doi:10.56979/401/2022/9314. Ihsan, I., & Qadir, M. A. (2021). An NLP-based citation reason analysis using CCRO. Scientometrics, 126, 4769–4791. doi:10.1007/S11192-021-03955-615. Amjad, Z., & Ihsan, I. (2020). Verbnet based citation sentiment class assignment using machine learning. International Journal of Advanced Computer Science and Applications, 11, 9, 621–627. doi:10.14569/IJACSA.2020.011097316. Khalid, W., Xing, X., Niu, Y., Tahir, O., & Ihsan, I. (2020). Efficiency analysis of collaborative based recommendation system. Journal of Physics: Conference Series, 1646, 012150. doi:10.1088/1742-6596/1646/1/01215017. Ihsan, I., Imran, S., Tahir, O., & Qadir, M. A. (2019). Sentiment based study of citations reporting verb corpus using natural language processing. Corporum: Journal of Corpus Linguistics, 2, 25–35. https://journals.au.edu.pk/ojscrc/index.php/crc/article/view/4218. Ihsan, I., & Qadir, M. A. (2019). CCRO: Citation’s context and reasons ontology. IEEE Access, 7, 30423–30436. doi:10.1109/ACCESS.2019.290345019. Masih, S., & Ihsan, I. (2019). Using academy awards to predict success of bollywood movies using machine learning algorithms. International Journal of Advanced Computer Science and Applications, 10, 2, 438–446. 􀃮 doi:10.14569/IJACSA.2019.010025720. Ihsan, I. (2017). Making MOOC slides semantically accessible: A semantic content generation tool for PowerPoint slides. Journal of Distance Education and Research, 2, 40–52. https://journal.vu.edu.pk/Archives/TableOfContents.aspx?vid=221. Ihsan, I., & Fayyaz, F. (2017). Intelligent classification of learning objects using information content, intra document terms and domain vocabulary. Journal of Software Engineering and Intelligent Systems, 2, 184–191. https://scholar.google.com/scholar?oi=bibs&cluster=5007418578364961787&btnI=1&hl=en22. Ihsan, I., Rehman, M., Ahmed, M. U., & Qadir, M. A. (2008). SPoint - A semantic based e-Learning content development tools. Journal of Applied Sciences, 8, 127–133. doi:10.3923/JAS.2008.127.133.23. Hamid, O. A., Qadir, M. A., Iftikhar, N., Rehman, M., Ahmed, M. U., & Ihsan, I. (2007). Generic multimedia database architecture based upon semantic libraries. Informatica, 18, 483–510. doi:10.15388/Informatica.2007.19024. Raja, B. S., Iqbal, M. A., & Ihsan, I. (2007). Moving from problem space to solution space. World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 1, 764–767.Book Chapters:1. Khan, R. U., Ullah, M., Shafi, B., & Ihsan, I. (2023). A survey on performance evaluation mechanisms for privacy-aware web search schemes. In Protecting user privacy in web search utilization (Chap. 2, pp. 26–45). 􀃮 doi:10.4018/978-1-6684-6914-9.ch002Conferences:1. Saif, S., & Ihsan, I. (2023). Qualitative analysis of text summarization classification techniques: A systematic approach. In Proceedings of the International Conference on Computing Technologies, Tools and Applications - ICTAPP (pp. 120–126). Peshawar, Pakistan. Retrieved from https://ictapp.org.pk/ICTAPP-23-47-Abstract.html2. Hassan, M., Sultan, A., Awan, A. A., Ihsan, I., & Tahir, S. (2020). An enhanced and secure multi-server based user authentication protocol. In Proceedings of the IEEE International Conference on Cyber Warfare and Security - ICCWS (pp. 1–6). doi:10.1109/ICCWS48432.2020.92923833. Ihsan, I., Latif, T., & Bhatti, S. A. (2019). Classifying biomedical natural language questions using linked data. In Proceedings of the International Conference on Theory, Methods and Practice in Corpus Linguistics, Islamabad, Pakistan.4. Ihsan, I., Fayyaz, F., Qadir, M. A., & Rehman, M. (2015). Semantic indexing for XML documents using RDBMS. In Proceedings of the 6th IEEE International Conference on Information and Communication Technologies - ICICT (pp. 1–5). doi:10.1109/ICICT.2015.74695785. Ihsan, I., & Qadir, M. A. (2015). Querying semantically related items using modified 4-Index scheme for XML documents. In Proceedings of the 13th IEEE International Conference on Frontiers of Information Technology - FIT (pp. 47–52). 􀃮 doi:10.1109/FIT.2015.206. Ejaz, K., Mateen, A., & Ihsan, I. (2010). Vector shape classification and Z indexing. In Proceedings of the IEEE International Conference on Intelligent Network and Computing - ICINC (pp. 2.1–2.5). Kuala Lampur, Malaysia. Retrieved from https://repository.dinus.ac.id/docs/jurin/15179.pdf7. Qureshi, I. A., & Ihsan, I. (2010). A survey of text and image-based presentation tools. In Proceedings of the International Conference on Intelligence and Information Technology - ICIIT (pp. 103–107). doi:10.13140/2.1.1193.44058. Hamid, O. A., Qadir, M. A., Iftikhar, N., Rehman, M., Ahmed, M. U., & Ihsan, I. (2006). Generic multimedia database architecture: Towards high-level semantic retrieval. In Proceedings of the 6th Information Business Management Association - IBIMA (pp. 371–378). Bonn, Germany.9. Ihsan, I., Ahmed, M. U., Rehman, M., & Qadir, M. A. (2006). Semantically Meaningful Unit - SMU; an openly reusable learning object for UREKA learning-object taxonomy and repository architecture - ULTRA. In Proceedings of the IEEE/ACS International Conference on Computer Systems and Applications - AICCSA (pp. 1011–1018). 􀃮 doi:10.1109/AICCSA.2006.20521110. Ihsan, I., Rehman, M., Ahmed, M. U., & Qadir, M. A. (2006). UREKA Learning object Taxonomy and Repository Architecture - ULTRA. In Proceedings of the 10th IEEE International Multi-topic Conference - INMIC (pp. 231–236). 􀃮 doi:10.1109/INMIC.2006.35816911. Ahmed, M. U., Rehman, M., Ihsan, I., & Qadir, M. A. (2005). Semantic integration of learning objects for UREKA Navigation and Integration Toolkit - UNIT. In Proceedings of the IEEE International Conference on Emerging Technologies - ICET (pp. 525–529). doi:10.1109/ICET.2005.155893612. Ihsan, I., Qadir, M. A., & Iftikhar, N. (2005). Mobile Ad-hoc Service Grid – MASGRID. In Proceedings of the World Academy of Science, Engineering and Technology - WASET (pp. 786–789). doi:10.5281/zenodo.105639013. Ihsan, I., Rehman, M., Ahmed, M. U., Qadir, M. A., & Iftikhar, N. (2005). UREKA – grid enabled educational multimedia database. In Proceedings of the 7th International Conference on Software Engineering and Knowledge Engineering - SEKE (pp. 485–490). Taipei, Taiwan. 14. Rehman, M., Ihsan, I., Ahmed, M. U., Iftikhar, N., & Qadir, M. A. (2005). Generic multimedia database architecture. In Proceedings of the World Academy of Science, Engineering and Technology – WASET (pp. 1535–1538). doi:10.5281/zenodo.1070301

Research Interest
Knowledge Engineering, Explainable AI, Semantic Computing, Ontology Engineering, Natural Language Processing, Computational Linguistics, Large Language Modelling, Gaming and Multimedia, UI/UX Design, Computer Graphics and Animation