Dr. Areej Fatemah Meghji

Dr. Areej Fatemah Meghji received her M.E degree in Information Technology, finding intricate patterns by analyzing the use of social networking platforms. Her Ph.D. research focused on utilizing machine learning for predictive analysis of data emerging from the sector of higher education. Her research interests include artificial intelligence, machine learning, data mining, Big Data analytics, and knowledge engineering. She has published over 25 articles in International and National Journals and Conferences. She is also involved in various research projects with Masters and Ph.D. students in the Department of Software Engineering.

Contact Information

+92 22 2772250 Ext: 6906



Ph.D.
IICT, Mehran university of engineering and technology, Jamshoro		 2021
M.E
IICT, Mehran university of engineering and technology, Jamshoro		 2011
B.E
SWE, Mehran university of engineering and technology, Jamshoro		 2008
Assistant Professor
SWE, Mehran University of Engineering and Technology, Jamshoro		 2013-Present
Lecturer
SWE, Mehran University of Engineering and Technology, Jamshoro		 2008-2013
Agent based Intelligent Systems Active
Bachelors in Software Engineering 		Undergraduate Course
Data Science and Analytics Active
Bachelors in Software Engineering 		Undergraduate Course
Multimedia Communication
Bachelors in Software Engineering 		Undergraduate Course
Web Engineering
Bachelors in Software Engineering 		Undergraduate Course
Operating Systems
Bachelors in Software Engineering 		Undergraduate Course
Research Methodology Active
Masters in Software Engineering 		Masters Course
Big Data Analytics
Doctorate in Software Engineering 		PhD Course
Industrial Advisory Board Member
SWE, Mehran University of Engineering and Technology, Jamshoro
Final Project Review Committee Convener
SWE, Mehran University of Engineering and Technology, Jamshoro
Publications
Year Type Title
2020 Journal Areej Fatemah Meghji, Naeem Ahmed Mahoto, Mukhtiar Ali Unar, Muhmmad Akram Shaikh. (April 2020). "The Role of Knowledge Management and Data Mining in Improving Educational Practices and the Learning Infrastructure". Vol. 39(2), pp. 310-323, p-ISSN: 0254-7821, e-ISSN: 2413-7219, DOI: 10.22581/muet1982.2002.08
2021 Journal Uroosha memon, Areej Fatimah, Moshin memon (2021). Carbon footprint analysis and prediction: A case study of Mehran university of engineering & technology, pakistan. Engineering science and technology International research journal.
2023 Journal Bhatti, S., Memon, M., & Meghji, A. F. (2023). Scrutinizing Outcome Assessment of Outcome-based Education using Q-OBE in Engineering Education. International Journal of Innovation in Teaching and Learning (IJITL), 9(1), 55-74.
2023 Journal UMAR, A., BHATTI, S., MEGHJI, A. F., MAHOTO, N. A., & KUMARI, S. ANALYSIS OF FREQUENT NUCLEOTIDE PATTERNS IN COVID-19 GENOME SEQUENCES USING SPM ALGORITHMS.
2023 Journal Meghji, A. F., Mahoto, N. A., Asiri, Y., Alshahrani, H., Sulaiman, A., & Shaikh, A. (2023). Early detection of student degree-level academic performance using educational data mining. PeerJ Computer Science, 9, e1294.
2021 Journal Memon, U., Meghji, A. F., & Memon, M. A. (2021). Carbon Footprint Analysis and Prediction: A Case Study of Mehran University of Engineering and Technology, Pakistan. Engineering Science and Technology International Research Journal (ESTIRJ), 5(4), 6-10, 2021.
2022 Conference Memon, U., Meghji, A. F., Memon, M. A., & Raza, O. (2022). Ecological Footprint Analysis in Academia: A case study of Mehran University of Engineering and Technology. In Energy, Environment and Sustainable Development (EESD2022), 2022.
2022 Conference Mahlaka, A. S., Bhatti, S., & Meghji, A. F. (2022). Analyzing Temperature and Rainfall effects on Crop Yield using Data Mining. In 3rd International Conference on Computational Sciences And Technologies (INCCST'22), 2022.
2023 Journal Wadho, S. A., Meghji, A. F., Yichiet, A., Kumar, R., & Shaikh, F. B. (2023). Encryption Techniques and Algorithms to Combat Cybersecurity Attacks: A Review. VAWKUM Transactions on Computer Sciences, 11(1), 295-305.
2023 Journal Mangrio, I. K., Dewani, A., Meghji, A. F., & Bhatti, S. (2023). Agent-based Modeling of COVID-19: A case study of Hyderabad city. VFAST Transactions on Software Engineering, 11(1), 76-84.
2023 Journal Meghji, A. F., Shaikh, F. B., Wadho, S. A., Bhatti, S., & Ayyasamy, R. K. (2023). Using Educational Data Mining to Predict Student Academic Performance, VFAST Transactions on Software Engineering, 11(2), 43-49.
2023 Journal Agha, D., Sohail, R., Meghji, A. F., Qaboolio, R., & Bhatti, S. (2023). Test Driven Development and Its Impact on Program Design and Software Quality: A Systematic Literature Review. VAWKUM Transactions on Computer Sciences, 11(1), 268-280.
2023 Journal Saeed, S., Faiz, S., & Meghji, A. F. (2023). LeafNet: Using Convolutional Neural Network for Plant Leaf Detection. VFAST Transactions on Software Engineering, 11(2), 50-57.
2023 Journal Agha, D., Meghji, A. F., & Bhatti, S. (2023). Clusters of Success: Unpacking Academic Trends with K-Means Clustering in Education. VFAST Transactions on Software Engineering, 11(4), 15-31.
2024 Journal Zubair, A., Bhatti, S., & Meghji, A. F. (2024). Application of Deep Learning for Predicting the Financial Position of Pakistani Banking Sector. In New Trends in Finance (pp. 28-51). All Sciences Academy.
2024 Journal Agha. D., Kumari. V., & Meghji. A. F. (2024). Enhancing Mobile Efficiency: A Cloud-Powered Paradigm for Extended Battery Life and Enhanced Processing Capabilities. IJIST, 6(1), 58-69.
2023 Journal Qadir. R., Meghji. A. F., Oad. U., & Kumari. V. (2023). “Exploring Learning Patterns: A Review of Clustering in Data-Driven Pedagogy”, IJIST, 5(4), 831-846.
2023 Journal Kumar, R., Meghji, A. F., Wadho, S. A., Shaikh, F. B., Shaikh, U., & Ayyasamy, R. K. (2023). Implementation and Challenges in Cloud Computing. JOURNAL OF INFORMATION & COMMUNICATION TECHNOLOGY, 17(2), 81-88.
2024 Journal Raza, M. O., Meghji, A. F., Mahoto, N. A., Al Reshan, M. S., Abosaq, H. A., Sulaiman, A., & Shaikh, A. (2024). Reading Between the Lines: Machine Learning Ensemble and Deep Learning for Implied Threat Detection in Textual Data. International Journal of Computational Intelligence Systems, 17(1), 183.
2024 Journal Kumari, V., Meghji, A. F., Shaikh, F. B., Qadir, R., & Oad, U. (2024). A Review of Classification Approaches in Educational Data Mining for Predicting Student Performance. VAWKUM Transactions on Computer Sciences, 12(2), 65–80.
2019 Journal Meghji, A. F., Mahoto, N. A., Unar, M. A., & Shaikh, M. A. (2019). Predicting student academic performance using data generated in higher educational institutes. 3c Tecnología: glosas de innovación aplicadas a la pyme, 8(1), 366-383.
2017 Journal Nizamani, S., Memon, M., Sheikh, M. A., & Meghji, A. F. (2017). S2N: Safe Satellite Navigator. International Journal of Future Generation Communication and Networking, 10(10), 33-40.
2020 Conference Kouser, F., Meghji, A. F., & Mahoto. N. A. (2020). Early Detection of Failure Risks from Students' Data. In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST), pp. 1-6. IEEE.
2019 Conference Taj, S., Shaikh, B. B., & Meghji, A. F. (2019, January). Sentiment analysis of news articles: a lexicon based approach. In 2019 2nd international conference on computing, mathematics and engineering technologies (iCoMET) (pp. 1-5). IEEE.
2018 Conference Meghji, A. F., Mahoto, N. A., Unar, M. A., & Shaikh, M. A. (2018, April). Analysis of student performance using EDM methods. In 2018 5th International Multi-Topic ICT Conference (IMTIC) (pp. 1-7). IEEE.
2018 Book Shah, H., Meghji, A. F., & Mahoto, N. A. (2018). Healthcare Services in Developing Countries of the South Asian Region: Present and Future Perspectives. In Design and Development of Affordable Healthcare Technologies (pp. 1-22). IGI Global.
2016 Book Meghji, A. F., & Mahoto, N. A. (2016). Using big data to improve the educational infrastructure and learning paradigm. In Effective big data management and opportunities for implementation (pp. 158-181). IGI Global.

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Agent based Intelligent Systems
Data Science and Analytics
Research Methodology