Ms. Rabeea Jaffari completed her B.E with double honors and M.E in Software engineering from Mehran UET, Jamshoro in 2016 and 2018 respectively. As a software engineer, she worked as an android app developer and a PHP web developer in the software industry. She is currently working as a lecturer at the Department of Software Engineering, MUET since March 2018. Her research interests include but are not limited to programming, machine learning, data mining and IoT.
Contact Information
[email protected]
+92 22 2772250 Ext: 6908
Ph.D. IICT, UTP, Malaysia |
2022 |
M.E IICT (SWE), Mehran university of engineering and technology, Jamshoro |
2018 |
B.E SWE, Mehran university of engineering and technology, Jamshoro |
2016 |
Assistant Professor SWE, Mehran University of Engineering and Technology, Jamshoro |
2023-Present |
Lecturer SWE, Mehran University of Engineering and Technology, Jamshoro |
2018-2023 |
Teaching Assistant SWE, Mehran University of Engineering and Technology, Jamshoro |
2016-2018 |
Computer Networks & Management
Bachelors in Software Engineering |
Undergraduate Course |
Web Technologies
Bachelors in Software Engineering |
Undergraduate Course |
SAR Team Member SWE, Mehran University of Engineering and Technology, Jamshoro |
2018-Present |
IEC Team Member SWE, Mehran University of Engineering and Technology, Jamshoro |
2018-Present |
Web Team Member SWE, Mehran University of Engineering and Technology, Jamshoro |
2018-2020 |
Year | Type | Title |
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2018 | Conference | Rabia Iftikhar, Dr. Mohsin Memon, Prof. Tahseen Hafiz and Rabeea Jaffri, A Novel framework for location based messages, IEEE 5th International multitopic conference, IMTIC, 25-27 April, 2018, Jamshoro. |
2017 | Conference | R. Jaffari, M. Memon, T. Hafiz and R. Iftikhar, "Framework of business intelligence systems for infrastructure design and management," First IEEE International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT), Karachi, 2017, pp. 1-8. |
2018 | Journal | Ahmed, S., Jaffari, R., & Thebo, L. A. (2018). Data Hiding Using Green Channel as Pixel Value Indicator. International Journal of Image Processing (IJIP), 12(3), 90. |
2023 | Conference | Memon, M., Unar, A. A., Ahmed, S. S., Daudpoto, G. H., & Jaffari, R. (2023). Feature-Based Semi-Supervised Learning Approach to Android Malware Detection. Engineering Proceedings, 32(1), 6. |
2021 | Journal | Jaffari, R., Hashmani, M. A., & Reyes-Aldasoro, C. C. (2021). A novel focal phi loss for power line segmentation with auxiliary classifier U-Net. Sensors, 21(8), 2803. |
2021 | Conference | Jaffari, R., Hashmani, M. A., Reyes-Aldasoro, C. C., Aziz, N., & Rizvi, S. S. H. (2021, April). Deep learning object detection techniques for thin objects in computer vision: An experimental investigation. In 2021 7th International Conference on Control, Automation and Robotics (ICCAR) (pp. 295-302). IEEE. |
2021 | Journal | Ahmed, S. S., Memon, M., Jaffari, R., & Jawaid, M. (2021). StegoBound: A Novel Image Steganography Technique Using Boundary-Based LSB Substitution. Journal of Hunan University Natural Sciences, 48(6). |
2022 | Journal | Junejo, A. Z., Hashmani, M. A., Alabdulatif, A. A., Memon, M. M., Jaffari, S. R., & Abdullah, M. N. B. (2022). RZee: Cryptographic and statistical model for adversary detection and filtration to preserve blockchain privacy. Journal of King Saud University-Computer and Information Sciences, 34(10), 7885-7910. |
2022 | Conference | Ahmed, S. F., Jaffari, R., Ahmed, S. S., Jawaid, M., & Talpur, S. (2022, December). An MFCC-based Secure Framework for Voice Assistant Systems. In 2022 International Conference on Cyber Warfare and Security (ICCWS) (pp. 57-61). IEEE. |
2023 | Journal | Jaffari, R., Hashmani, M. A., Reyes-Aldasoro, C. C., Junejo, A. Z., Taib, H., & Abdullah, M. N. B. (2023). PLPose: An Efficient Framework for Detecting Power Lines via Key Points-based Pose Estimation. Journal of King Saud University-Computer and Information Sciences, 101615. |
2023 | Journal | Rahman, N. A. I. A., May, Z., Jaffari, R., & Hanif, M. (2023). Failure Severity Prediction for Protective-Coating Disbondment via the Classification of Acoustic Emission Signals. Sensors, 23(15), 6833. |
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