Aurangzeb Magsi
AI-Multimedia Gaming
Aurangzeb Magsi is an accomplished academic and researcher in the field of Computer Science. He began his academic journey at Shah Abdul Latif University, where he earned his Bachelor of Science degree in Computer Science in 2016, specializing in Web Development. Driven by a passion for cutting-edge technology, he continued his education at the same institution, completing his Master of Science in Computer Science in 2019 with a focus on Machine Learning and Digital Image Processing.
Currently, Aurangzeb is pursuing a Ph.D., where he is deeply engaged in research specializing in Machine Learning, Deep Learning, and Digital Image Processing. His academic and research endeavors are aimed at pushing the boundaries of knowledge in these rapidly evolving fields.
Aurangzeb’s research interests are diverse and interdisciplinary, encompassing Artificial Intelligence, Machine Learning, Deep Learning, Biotechnology, and Digital Image Processing. His work has made significant contributions to the academic community, with numerous research papers published in prestigious HEC-recognized international and national journals.
Publications
- [1] A. Magsi, J.A. Mahar, A. Maitlo, M.Ahmed, 2023, “A new Hybrid Algorithm for Intelligent Detection of SDS of Date Palm Disease”, Scientific Reports.
- [2] A. Magsi, R.A. Shaikh, A.H. Soomro, 2021, “A Novel Framework for Disease Severity Level Identification of Cotton Plant using Machine Learning techniques”, INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, Vol.10, No.05.
- [3] A. Magsi, J.A. Mahar, M.A. Razzaq, S.H. Gill, 2020, “Date Palm Disease Identification using Features Extraction and Deep Learning Approach”, IEEE INMIC, Bahawalpur, Pakistan, November: 5-7, 2020.
- [4] A. Magsi, J.A. Mahar, S.H. Danwar, 2019, “Date Fruit Recognition using Features Extraction Techniques and Deep CNN”, Indian Journal of Science and Technology, Vol.12, No.32
- [5] R. Mirjat, S.A. Mahar, M.I. Mushtaque, A. Magsi, 2024, “A framework for Guava Wilt Disease Segmentation using K-means Clustering and Neural Network Techniques”, VAWKUM Transactions on Computer Sciences, Vol.12, No.01, Pp: 76-93.
- [6] A.H. Soomro, S. Rajper, A. Magsi, S.A. Mangi, 2022, “Collusion Detection using Predictive Functions Based on Android Applications”, Sukkur IBA Journal of Computing and Mathematical Sciences, Vol.06, No.02.
- [7] A.S. Kharal, S.A Mahar, M.I.m Mushtaque, A.Magsi, J.A. Mahar, 2024, “A Model for Wheat Yield Prediction to Reduce the Effect of Climate Change Using Support Vector Regression”, VFAST Transactions on Software Engineering, Vol.21, No.02, Pp: 192-212.